Impact of water transfer on interaction between ... - Wiley Online Library

0 downloads 0 Views 1MB Size Report
RESEARCH ARTICLE. Impact of water transfer on interaction between surface water and groundwater in the lowland area of North China Plain. Xiaole Kong1,2.
Received: 25 June 2016

Accepted: 17 April 2018

DOI: 10.1002/hyp.13136

RESEARCH ARTICLE

Impact of water transfer on interaction between surface water and groundwater in the lowland area of North China Plain Xiaole Kong1,2

|

Shiqin Wang1

|

Bingxia Liu1

|

Hongyong Sun1

|

Zhuping Sheng3

1

Key Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China

2

University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing 100049, China

Abstract The contradiction between the freshwater shortage and the large demand of freshwater by irrigation was the key point in cultivated lowland area of North China Plain. Water transfer project brings fresh water from water resource‐rich area to water shortage area, which can in turn change the hydrological cycle in this region. Major

3

Texas A&M AgriLife Research Center at El Paso 1380 A&M Circle, El Paso, TX 79927, USA Correspondence Shiqin Wang, Key Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China. Email: [email protected]

Funding information Science and Technology Service Network Program of Chinese Academy of Sciences, Grant/Award Number: KFJ‐STS‐ZDTP‐001; The National Key Research and Development Program of China, Grant/Award Number: 2016YFD0800100; 100‐Talent Project of Chinese Academy of Sciences

ions and stable isotopes were used to study the temporal variations of interaction between surface water and groundwater in a hydrological year after a water transfer event in November 2014. Irrigation canal received transferred Yellow River, with 2.9% loss by evaporation during water transfer process. The effect of transferred water on shallow groundwater decreased with increasing distance from the irrigation canal. Pit pond without water transfer receives groundwater discharge. During dry season after water transfer event, shallow groundwater near the irrigation canal was recharged by lateral seepage and deep percolation of irrigation, whereas shallow groundwater far from irrigation canal was recharged by deep percolation of deep groundwater irrigation. Canal water lost by evaporation was 2.7–17.4%. Influence of water transfer gradually disappeared until March as the water usage of agricultural irrigation increased. In the dry season, groundwater discharged to irrigation canal and pond; 2.2–31.6% canal water and 11.3–20.0% pond water were lost by evaporation. In the rainy season (June to September), surface water was fed mainly by precipitation and surface run‐off, whereas groundwater was recharged by infiltration of precipitation. The two‐end member mix model showed that the mixing ratio of precipitation in pond and irrigation canal were 73–83.4% (except one pond with 28.1%) and 77.3–99.9%, respectively. Transferred water and precipitation were the important recharge sources for shallow groundwater, which decreased groundwater salinity in cultivated lowland area of North China Plain. With the temporary and spatial limitation of water transfer effects, increased water transfer amounts and frequency may be an effective way of mitigating regional water shortage. In addition, reducing the evaporation of surface water is also an important way to increase the utilization of transfer water. KEY W ORDS

cultivated lowland, interaction between surface water and groundwater, mixing ratio, North China Plain, water transfer

Hydrological Processes. 2018;1–14.

wileyonlinelibrary.com/journal/hyp

Copyright © 2018 John Wiley & Sons, Ltd.

1

2

1

KONG

|

I N T RO D U CT I O N

ET AL.

water shortage and soil salinization (Yang, Ding, Liu, & Li, 2016). In this region, groundwater in shallow aquifers is mainly brackish and

Understanding the interaction between surface water and groundwa-

the groundwater level is shallow. Agricultural production heavily

ter is critical for the management of water resources (Winter, 1999)

relies on deep groundwater for irrigation in NCP, and agricultural

and analysis of ecohydrology (Sophocleous, 2002; Wilson & Rocha,

water usage accounts for 70% of total deep groundwater used in

2016; Woessner, 2000). The accurate quantification of the exchange

the floodplains (Hu, Moiwo, Yang, Han, & Yang, 2010). Due to

of water and energy between surface water and groundwater systems

long‐term overexploitation of groundwater, several deep groundwa-

is still challenging due to heterogeneity and scale (Anibas, Buis,

ter depression cones have formed in the region (Li et al., 2014).

Verhoeven, Meire, & Batelaan, 2011; Bichler, Muellegger, Brünjes, &

The exploitation and utilization of saline shallow groundwater can

Hofmann, 2016; Kalbus, Reinstorf, & Schirmer, 2006; Naylor,

regulate the groundwater level and promote the transformation of

Letsinger, Ficklin, Ellett, & Olyphant, 2016).

precipitation into available water resources (Fang & Chen, 1997).

Although under losing river regimes, water primarily flows out of

Brackish shallow groundwater utilization in the plain only accounts

the river channel into the connected alluvial aquifer, groundwater

for 8% of total water uses (Liu, An, & Yang, 2006). Groundwater

flows into the river channel under gaining river regimes. In irrigated

crisis in the study area can be resolved by banning private well

areas, surface water and groundwater flows become more compli-

drilling, promoting water‐saving irrigation technology, water transfer

cated with the impacts of surface water diversion, groundwater

from water‐rich basins, and increasing the use of rainwater

pumping, and irrigation, which make the interaction of surface

(Li et al., 2014).

water and groundwater more complicated (McCallum, Andersen,

Water transfer projects have been launched across the globe to

Giambastiani, Kelly, & Ian Acworth, 2013; Shah, 2014). Seepage can

alleviate water shortage problems in arid regions and promote devel-

create a temporary mound or increase of the water table in alluvial

opment such as in Australia, United States, Canada, China, and India

aquifers when river stage is above the alluvial aquifers (Fernald, Baker,

(Ghassemi & White, 2007). The transfer of the Yellow River water to

& Guldan, 2007; Harvey & Sibray, 2001; Squillace, Thurman, &

the lowland area of the NCP is part of South‐to‐North Water

Furlong, 1993). Linear irrigation canals/ditches or river channels are

Transfer Project. The transferred water was mainly used for drinking

important sources of groundwater recharge and also influence water

water in the past. Part of transferred water has been used for agricul-

quality (Fernald et al., 2007; Wang et al., 2014). Extensive measure-

tural irrigation since November 2014. In the future, water transferred

ments from farm canals in Pakistan showed that about half of the

from the Yellow River into the lowland area will be used for agricul-

water diverted into the canals was lost before it reached the farmers'

tural irrigation more frequently. The mixing of diverted water with

field (Kahlown & Kemper, 2004).

local water resources in water receiving regions changes the hydrolog-

Understanding the variations in surface water–groundwater

ical cycle and the interaction between surface water and groundwater,

interaction in irrigated areas in arid or semi‐arid regions is important

especially under the condition between agricultural irrigation with

for agricultural water management. Pahar and Dhar (2014) noted

transferred water.

that monsoon rains and dry‐season irrigation pumping can reverse

Nanpi County is a cultivated lowland area of NCP with inten-

hydraulic gradients (water body source to groundwater sink).

sive exploitation of groundwater for domestic, industrial, and agri-

Arumí et al. (2009) also observed that seasonal variation in the inter-

cultural use. It also receives a significant portion of water from

action of surface water and groundwater in Chilie's Central Valley

the massive South‐to‐North Water Transfer Project, which provides

was due to the interception and diversion of surface run‐off by

water for irrigation. In addition, it is a typical demonstration zone

irrigation canal networks. Run‐off flow to flat areas recharges

in the “Bohai Granary Project” in China, aiming to increase grain

groundwater in winter, whereas canal infiltration directly recharges

production in medium‐ and low‐production regions around Bohai

aquifer and partially compensates for water uptake from plants

Sea, which is one of the potentially most productive agricultural

and evaporation in summer. In semi‐arid and arid areas with

districts in the salinized zone of NCP (Li, Ouyang, Liu, & Hu,

intensive agriculture, surface water and groundwater interaction

2011). However, the shortage of freshwater in this region histori-

and agricultural water use are closely interrelated hydrological pro-

cally increased the conflict of grain production. The combined use

cesses (Tian et al., 2015). In Texas, surface water and groundwater

of transferred freshwater, precipitation, and brackish shallow

interactions include flow from the Rio Grande and its tributaries,

groundwater could be effective in resolving such a conflict. To

irrigation canals, drainage ditches, and periodic water flows in

demonstrate the strategy of conjunctive uses of regional water

arroyos or washes or impoundments in flood‐retention reservoirs

resources, Nanpi County was selected to investigate the interaction

(Liu & Sheng, 2011).

between surface water and groundwater influenced by the trans-

The sustainability of irrigated agriculture in many arid and semi‐ arid areas of the world is at risk because of a combination of several

ferred water. Water chemicals and stable isotopes of surface water, including

interrelated factors, including lack of fresh water, lack of drainage,

irrigation

the presence of high water tables, and salinization of soil and

employed as tracers to (a) evaluate seasonal variations along with

groundwater resources (Schoups et al., 2005). This was the case in

the characteristics of surface water and groundwater interaction

lowland area of North China Plain (NCP). Although NCP is one of

affected by the transferred water and (b) estimate the ratio of

the main grain production bases in China, crop yields (especially win-

evaporation loss from surface water and precipitation mixed with

ter wheat and summer maize) are low in lowland areas due to fresh

surface water.

canal

water,

pond

water,

and

groundwater,

were

KONG

2

3

ET AL.

MATERIALS AND METHODS

|

Sigangxin), a reservoir (Dalangdian) and a distributing network consisting of seven canals (Nos 1–5 Grand Canals, Xiaoquan Grand

2.1

|

Canal, and Ludong Canal; Figure 1).

The study area

The main stratigraphy is composed of unconsolidated sediments Nanpi belongs to the transition zone between inland alluvial plain and

of Q4 origin. Four (I, II, III, and IV) aquifer layers consist of silty‐clay

coastal plain (Figure 1). The region is characterized by warm temper-

and clay (Figure 3) (Z. J. Zhang et al., 2009). Shallow aquifer includes

ate, semihumid monsoon climate. The mean annual precipitation in

Layers I and II, whereas deep aquifer includes Layers III and IV

the area varies from 400 to 500 mm; more than 80% of which is

(Z. J. Zhang et al., 2009). Freshwater, brackish water, and saline water

received during July–September period (Yang et al., 2016). The mean

were divided based on the total dissolved solid (TDS) ranges of

annual evaporation is 1,919 mm, with 34.5%, 36.9%, 20.7%, and

TDS < 1 g/L, 1 < TDS < 10 g/L, and TDS > 10 g/L, respectively (Fetter,

7.9% occurring in spring, summer, autumn, and winter, respectively

2000). The high water quality in aquifer Layer III makes it a target for

(Xu & Li, 2013). Meteorological data of 2015 was collected from

intensive exploitation, and it is therefore the layer with the greatest

Nanpi Eco‐Agricultural Experimental Station of Chinese Academy of

groundwater depletion.

Sciences. There was 623.2 mm of precipitation in 2015 (Figure 2). The soil is Chao soil or light loam (Sun et al., 2012), with a relatively high salt content in the top 50‐cm soil layer, consisting mainly of Cl− −

or Cl and

SO42−–Na+,

Mg

2+

(Qiao, Liu, Li, & Huang, 2006).

2.3

|

Water transfer

A total of 3.4 × 108 m3 water was transferred from the Yellow River to Nanpi County in 2014. The first transfer of about 0.5 × 108 m3 of

2.2

|

Hydrological characterization

water was made through No. 1 Grand Canal to the Dalangdian reservoir in September as drinking water. The second transfer of

Surface water network in the study area is complex, composing of

2.9 × 108 m3 was in October and November, of which 1.9 × 108 m3

three river systems (River Zhangweixin, River Xuanhui, and River

for drinking and the other was for agricultural irrigation. The

FIGURE 1

Location of the study area in Nanpi County (a) and sampling points in the study area (b). NCP = North China Plain

4

KONG

ET AL.

the study area. Winter wheat is usually planted in early October and harvested during the first 10 days of June. Summer maize is planted immediately after wheat harvest and harvested at the end of September. Generally, 3–4 irrigation events are applied during the growing season of winter wheat and 0–2 irrigation events during summer maize growing stage depending on precipitation.

2.5

|

Water sampling and analysis

There was a timeline of full calendar year from the sowing winter wheat in 2014 to summer maize harvested in 2015 (Table 1). In order to study the impact of water transfer on interaction between surface water and groundwater, four times of sampling were taken after water transfer event in November 2014. Agricultural irrigation is the primary use of regional groundwater. There were three irrigation periods: wintering irrigation and greening return stages for winter wheat, and early growth stage for summer maize before the rainy season. Sampling was taken based on the time of agricultural irrigation and precipitation in rainy season (Table 1). Field surveys were conducted in a hydrological FIGURE 2 County

Plot of precipitation during sampling period in Nanpi

year that covers four different time periods: after water transfer (November 11 to 14, 2014), dry season (March 18 to 20, 2015), the end of dry season (July 2 to 6, 2015), and the rainy season (September

transferred water for agricultural irrigation was discharged into the canal system—through Xiaoquan Grand Canal and then stored in Nos 1 to 4 Grand Canals for irrigation. Only farmlands near the canals were irrigated using the transferred water. Deep groundwater is still the main source of irrigation water. There are many pit ponds that store water from groundwater discharge and surface run‐offs.

9 to 12, 2015). The irrigation canal water, pond water, shallow groundwater, and deep groundwater were sampled along the main canals (Figure 1b). Groundwater sampling points were distributed at different distances from canal. Electrical conductivity (EC) was measured in situ using a portable meter (Compact meter, Horiba, Japan). Shallow groundwater depth was measured in situ using water level gauge (Model102, Solinst,

2.4

|

Agricultural water uses

Canada). Irrigation frequency was varied with farmers through individual interview in the field survey. The 100‐ml polyethylene bottle

The double cropping, that is, winter wheat (Triticum aestivum) and

(prerinsed three times with sample water before the final sample

summer maize (Zea mays), is the dominant agro‐system practiced in

collection) was used to store unfiltered samples. Water samples were

FIGURE 3

Hydrogeology cross section of the study area (modified after Z. J. Zhang et al., 2009)

KONG

5

ET AL.

TABLE 1

Timeline of the full calendar year

Season

Period

Sampling time

Water transfer event

Early October to early November 2014

Dry season after water transfer event

Middle November 2014 to middle March, 2015



Water transfer and irrigation events

Crop planting and harvest

Water transfer in early November, 2014

Winter wheat sowing in early October, 2014 –

Irrigation in middle From November 11 to 14, and late November, 2014, after water transfer 2014 event From March 18 to 20, 2015 Irrigation in the middle and late March, 2015

Dry season

Late March to early July, 2015

July 2 to 6, 2015

Irrigation in early July

Rainy season

Middle July to early October, 2015

September 9 to 12, 2015



– Winter wheat harvest and summer maize sowing in early June, 2015 Summer maize harvest at the end of September and winter wheat sowing in early October, 2015

stored in polyethylene bottles, immediately transported to the labora-

Kinetic effects in terms of humidity (h) are expressed as follows

tory and analysed within 1 week. All samples were sealed with

(Gonfiantini, 1986):

adhesive tape to reduce evaporation. The water samples were passed through 0.45‐μm filters before analysis. Samples were analysed for major ions (Na+, K+, Mg2+, Ca2+, −



Cl , NO3 , and

SO42−)

using ion chromatography (ICS‐2100, Dionex,

USA). HCO3− was analysed using diluted 0.01 N H2SO4, and TDS calculated by summing up all the main ions in the sample. The normalized inorganic charge balance, defined as (TZ+ − TZ−)/(TZ+ + TZ−),

Δε18 Ov–bl ¼ 14:2 ðh−1Þ;

(3)

Δε2 Hv–bl ¼ 12:5 ðh−1Þ;

(4)

where Δε18Ov–bl and Δε2Hv–bl are respectively kinetic fractionation factors of

18

O and 2H between vapour and boundary layer of evapo-

ration interface. The general form of the Rayleigh distillation equation states

represents the fractional difference between total cations and anions.

that isotope ratio of the reactant in a diminishing reservoir is a func-

Freeze and Cherry (1979) recommend that ±5% was a reasonable

tion of its initial isotopic ratio (R0), the remaining fraction ( f ), and

error limit of percentages of ion balance for accepting the analysis as

the fractionation factor (ε, ε = αv–w − 1) of the reaction, which incorpo-

valid. The chemical analysis results were adopted when the charge‐

rates both equilibrium (εw–v) and kinetic (Δεv–bl) fractionation (Clark &

balance error was within ±5% in this study. Stable isotopes (δ2H,

Fritz, 1997):

δ18O) were analysed using a laser absorption water vapour isotope

R ¼ R0 f ðαv–w −1Þ :

analyser (Picarro‐i2120, CA, USA). The δ2H and δ18O values were

(5)

expressed in standard δ‐notation as per mil (‰) difference from standard VSMOW (Vienna Standard Mean Ocean Water). The δ18O and

2.7

δ H measurements were reproducible to an accuracy of ±0.5‰ and

The mixing ratio of precipitation with surface water during the rainy

±0.2‰, respectively.

season was calculated used the multisource mass balance model

2

|

Multisource mass balance model

(Wang, Song, Han, Zhang, & Liu, 2010). Based on Cl−, δ2H, and δ18O

2.6

|

Rayleigh evaporation model

mass balance of surface water samples collected in July and

The δ H and δ O stable isotopes model can be developed by incor2

18

porating both equilibrium and kinetic enrichment factors of evapo-

September and precipitation, the proportions of each sample (f1) is determined as follows:

rated water (Butler, 2007). The equilibrium isotope fractionation factor is strongly dependent on the temperature (T, in Kelvin) of the

X1 f1 þ X2 f2 ¼ X3 ;

(6)

f1 þ f2 ¼ 1;

(7)

reaction, which can be determined at different temperatures through experimentation (Horita & Wesolowski, 1994; Majoube, 1971). The equilibrium fractionation factors of δ O and δ H between water 18

2

and vapour (expressed as 103lnα18Ov–w and 103lnα2Hv–w) are given

where f1 and f2 are respectively the mixing ratio of precipitation and surface water in July, and X1, X2, and X3 were mass (Cl−, δ2H, and δ18O) of precipitation, surface water in July and September.

as (Majoube, 1971)     103 lnα18 O ¼ 1:137 106 =T 2 −0:4156 103 =T −2:0667;    103 lnα2 H ¼ 24:844 106 =T 2 −76:248 103 =T þ 52:612:

3

RESULTS AND DISCUSSION

|

(1)

3.1



(2)

|

Water chemical characteristics

The means of field observations, the major ions, and the isotopic components of the different water bodies are listed in Table SI. The mean

Kinetic effects are influenced by surface temperature, wind

EC value in irrigation canal water and pond water were 1,842 and

speed, salinity, and most importantly, humidity (Clark & Fritz, 1997).

4,125 μS/cm in November 2014. The former EC value reflected the

6

KONG

ET AL.

irrigation canal received transferred water (Yellow River). The high EC

SO42− in other three seasons. This showed that transferred water

value of pond water was primarily due to high evaporation before water

changed the hydro‐chemical characteristics of shallow groundwater.

sampling time without water transfer. The mean EC value in irrigation

TDS represents the total mineralization (inorganic content) of

canal water increased from November 2014 to July 2015 and decreased

water and was well correlated with EC value, which also reflects

from July to September 2015. The mean EC value of irrigation canal

the dissolved content in water. The irrigation canal, pond, and

water in September 2015 was higher than that in November 2014. This

shallow groundwater were brackish water, with mean TDS ranges

suggested that water transfer had greater impact on improving irriga-

of 1.10–3.61, 1.21–2.97, and 2.25–3.00 g/L in different seasons,

tion canal water quality than precipitation. The mean EC value of pond

respectively. Deep groundwater consists freshwater with mean TDS

water has the same seasonal variation characteristics with irrigation

range of 0.77–0.83 g/L in different seasons. The mean TDS was

canal water from March to September 2015, which indicates the similar

1.1 g/L in November 2014 in irrigation canal with transferred water,

effects during this period. The mean EC value of shallow groundwater

which was a little bigger than freshwater. The mean TDS in irrigation

varied from 3,543 to 4,442 μS/cm during the study period, with the low-

canal was 1.72 and 3.28 times in March and July 2015 of that in

est value observed in September 2015. The mean EC value of shallow

November 2014. The mean TDS in irrigation canal decreased

groundwater decreased from November 2014 to March 2015, then

55.4% from July to September 2015. The mean TDS in pond

increased from March to July 2015 and again decreased from July to

decreased 11.9% from November 2014 to March 2015, increased

September 2015. This suggested that water transfer and precipitation

29.7% from March to July 2015, and decreased 59.3% from July

improved shallow groundwater quality. The mean EC value of deep

to September 2015. The mean TDS in shallow groundwater

groundwater was the smallest in all water bodies varied from 1,380 to

decreased 25% from November 2014 to March 2015, increased

1,453 μS/cm, with little seasonal variation.

12.9% from March to July 2015, and decreased 10.6% from July

Seasonal variation characteristics of major ions (except K+ and −

to September 2015. The variation amplitudes of TDS for shallow

NO3 ) were the same with the mean EC value in all water bodies

groundwater were smaller than that of surface water, suggesting

(Table SI). In addition, the chemical compositions of surface water

that the impact of water transfer and precipitation on surface water

and groundwater samples were plotted in Piper diagram (Figure 4).

was greater than that on groundwater.

The main ions in surface water (irrigation canal and pond) were Na+, Cl−, and SO42−, whereas those in deep groundwater were Na+ and HCO3−. The ratio of Na+, Cl−, and SO42− in surface water increased from November 2014 to July 2015, and then it decreased from July to September 2015. In March 2015, the main ions in shallow ground+



water were Na , Cl ,

FIGURE 4

HCO3−,

2−

+



and SO4 , and they were Na , Cl , and

3.2 | Spatiotemporal variation of shallow groundwater depth In the lowland area of NCP, the water table is very shallow, suggesting that it is easily influenced by surface water and precipitation conditions

Piper diagram of different water bodies, canal (a), pond (b), shallow groundwater (c), and deep groundwater (d)

KONG

7

ET AL.

(Chen, Hong, & Wang, 1988). Variations of shallow groundwater depth

3.3

|

Stable isotopes in different water bodies

can be a good indicator for the interactions between surface water and shallow groundwater. Figure 5 shows seasonal variations of shallow

Stable isotope (δ18O and δ2H) compositions are useful in determining

groundwater. Shallow groundwater depths were 2.63–7.56 m, 1.90–

the origin and transport of groundwater as isotopes are generally

7.10 m, 2.85–9.50 m, and 0–6.18 m in November 2014, March, July,

modified by meteoric processes and do not change readily as a result

and September 2015, respectively. It indicates that shallow groundwa-

of water–rock interactions at low temperatures (Sidle, 1998). Ground-

ter depth decreased after water transfer event season, then increased

water formed before 10 kaB.P has δ18O isotope value less than −9‰,

in the dry season and decreased in the rainy season.

and groundwater formed after 10 kaB.P has δ18O isotope value

Based on previous studies, groundwater recharge from river

greater than −9‰ (G. H. Zhang et al., 2010). In different seasons,

decreased with increasing distance from river channel (Wang et al.,

the mean δ18O values changed from −10.7‰ to −10.5‰ in deep

2014). The variations of shallow groundwater depth in different

groundwater, and it varied from −8.5‰ to −8.0‰ in shallow ground-

seasons are plotted in Figure 6. The variation of shallow groundwater

water (Table SI). These ranges show that deep groundwater was

depth decreased with increasing distance from irrigation canals from

formed before 10 kaB.P, whereas shallow groundwater was formed

November 2014 to next March (Figure 6a). It indicated that the impact

after 10 kaB.P. The large difference in δ18O isotope between shallow

of water transfer on shallow groundwater decreased with the distance

groundwater and deep groundwater suggested the weak hydraulic link

from irrigation canals. From March to September, the variation of

between them. Thus, discussion was limited to the interaction

groundwater depth was similar in the whole region (Figure 6b,c). It

between surface water and shallow groundwater in this study.

indicates that the effect of water transfer on shallow groundwater

The δ18O versus δ2H values of surface water and shallow ground-

has disappeared from March to September, and the interaction

water (especially for September) were closely or slightly scattered to

between surface water and shallow groundwater is same irrespective

the right of the local meteoric water line (LMWL) in Figure 7, indicated

of the distance from irrigation canals.

that modern precipitation was their predominant origin.

FIGURE 5

Shallow groundwater depth (m), November 2014 (a), March 2015 (b), July 2015(c), and September 2015 (d)

FIGURE 6 Variations of groundwater depth in different seasons, from November to March (a), from March to July (b), and from July to September (c)

8

KONG

ET AL.

FIGURE 7 The relationship between δ2H and δ18O in surface water and groundwater during different seasons, November 2014 (a), March 2015 (b), July 2015 (c), and September 2015 (d). The global meteoric water line (GMWL) is δ2H = 8.13δ18O + 10.8 (Craig, 1961). The local meteoric water line (LMWL) is δ2H = 7.41δ18O + 0.53 (Wang et al., 2009) In November 2014, the majority irrigation canal water, composed

respectively. The majority shallow groundwater in July has similar δ2H

of transferred water from the Yellow River, had depleted isotopes than

and δ18O isotope value as that in March. The seasonal variation ampli-

irrigation canals (C6 and C19) and pond (P11) without water transfer

tudes of δ2H and δ18O isotopes in surface water (pond > irrigation

(δ O > −6‰ and δ H > −50‰) (Figure 7a). It indicated that evapora-

canal) were greater than that in shallow groundwater (Table SI). It indi-

tion led to high isotopic values in surface water without water trans-

cated the different evaporation potential of different water bodies.

fer. The majority shallow groundwater had low δ H and δ O value

Evaporation‐driven δ2H and δ18O isotope enrichment was significant

than surface water. However, due to being recharge by isotope‐

in surface water (Figure 7c) from March to July. Evaporation

enriched surface water, the isotopic compositions in groundwater near

decreased the slope of irrigation canal water evaporation line from

ponds (e.g., S32 and S44) and irrigation canals (e.g., S15, S26, and S47)

6.27 (March) to 4.08 (July).

18

2

2

18

were enriched in November 2014.

In September, the δ2H values changed from −60.9‰ to −56.8‰,

In March, the δ H values changed from −67.5‰ to −37.9‰ and

from −59.0‰ to −44.9‰, and from −68.5‰ to −46.8‰ in irrigation

from −67.6‰ to −12.7‰ in irrigation canal and pond, respectively.

canal, pond, and shallow groundwater, respectively. In September,

In March, the δ18O values changed from −8.9‰ to −3.9‰ and from

the δ18O values changed from −8.7‰ to −7.5‰, from −8.2‰ to

2

−8.9‰ to 1.2‰ in irrigation canal and pond, respectively. Due to

−5.1‰, and from −9.7‰ to −5.5‰ in irrigation canal, pond, and

evaporation, enriched δ2H and δ18O value was observed in irrigation

shallow groundwater, respectively. Surface water samples and shallow

canals with and without (C4, C5, C6, C7, and C21) water transfer in

groundwater samples obtained in September present a lighter and

March 2015 (Figure 7b). The δ2H and δ18O isotope values were similar

narrow range of stable isotopic signatures (Figure 7d). It could be

in November 2014 and March 2015 in most of shallow groundwater

due to precipitation with depleted isotopes.

sites, except for wells S11 and S34. S11 is an open well, and evaporation was the reason for isotope enrichment. Seasonal industrial sewage (deep groundwater with depleted isotope) discharged directly into shallow groundwater via subsurface pipes made the depleted isotope in S34.

3.4 | Interactions between irrigation canal water, pond water, and shallow groundwater Seasonal variations in EC values, major ions (Table SI and Figure 4),

In July, the δ2H values changed from −69.7‰ to −35.6‰, from

TDS (Table SI), shallow groundwater depth (Figure 5), and δ2H and

−55.2‰ to −2.4‰, and from −76.2‰ to −37.0‰ in irrigation canal,

δ18O stable isotopes (Figure 7) of shallow groundwater suggested

pond, and shallow groundwater, respectively. In July, the δ18O values

the effects of transferred water on surface water and groundwater

changed from −9.3‰ to −1.6‰, from −6.9‰ to −3.1‰, and from

interaction varied over time. The Cl− is conservative in most hydro-

−10.6‰ to −3.4‰ in irrigation canal, pond, and shallow groundwater,

logic systems, and δ18O is also conservative in subsurface water

KONG

9

ET AL.

because evaporation mainly occurs at land surface. Using the two con-

investigation, these shallow groundwater wells were located near

servative tracers, it is possible to identify the dynamics of mixing of

the irrigation canal, and it was recharged by transferred water in irri-

different water bodies (Douglas, Clark, Raven, & Bottomley, 2000).

gation canal.

Figure 8 shows the relationship between Cl− and δ18O isotope in

There were three recharge forms between surface water and groundwater during this period (Figure 9a): first, lateral recharge of

different seasons.

irrigation canal water to groundwater nearby; second, transferred

3.4.1

|

Dry season after water transfer event

water deep percolation recharges to shallow groundwater; and third,

In Figure 8a, it is noticeable that shallow groundwater and surface

shallow groundwater recharged by deep groundwater deep percola-

water had distinct distribution features in November 2014. An

tion in region far from irrigation canals.

increasing trend in Cl− concentration was observed as follows: shallow

With little remaining water in irrigation canal before water trans-

groundwater > pond water> irrigation canal water (Table SI). An

fer, the effect of it was neglected when discussing the effects of

increasing trend δ18O isotope value was observed as follows: pond

water transfer. δ18O and δ2H isotope Rayleigh fractionation theory

water > irrigation canal water > shallow groundwater (Table SI). Cl−

was used to calculate evaporation ratio from irrigation canal during

concentration and δ18O value is smaller in irrigation canal with trans-

dry season after water transfer event. It should be noted that this

ferred water than that without transferred water (C12 and C14) and

model has several assumptions. Specifically, there was no inflow

pond water.

and outflow in irrigation canal after the water transfer event. −

Additionally, it is assumed that the water is fully mixed, and that all

concentration decreased while δ18O value stayed the same. It indi-

water is available for evaporative enrichment. In this study, the evap-

cates the dilution effects of deep percolation with transferred Yellow

oration was based on the average values of temperature and relative

River water near irrigation canal and deep groundwater far from irriga-

humidity from November 2014 to March 2015.

In dry season after water transfer event, shallow groundwater Cl

tion canal (Figure 8b). The larger variation in shallow groundwater

The initial and end isotopic were isotopic in irrigation canal water

depth near irrigation canal indicated the direct recharge from irrigation

of each site in November and March, respectively. The temperature

canal to aquifer nearby (Figure 6).

was 1.10 °C, and relative humidity was 59.25% during this period

Pond water (P1, P3, P4, P6, P7, and P12) and irrigation canal

(Table 2). We calculated evaporation ratio to make the smallest differ-

water (C4, C5, C6, C7, and C21) in March distributed in the same

ence between calculated value and the actual value. There was a 2.7–

region (Figure 8b Subregion 1). There was simultaneous growth of

17.4% evaporation loss from irrigation canal in dry season after water

δ18O isotope and Cl− concentration during dry season after water

transfer event (Table 3). The irrigation canal water (form C11 to C10

transfer event in Subregion 1. It indicated that surface water experi-

to C18 to C17 and to C16) evaporation ratio increased from 3.3% to

enced strong evaporation in this period. There were some pond

6.2% in the flow direction (except at C1 where it was 64.7%), which

waters and irrigation canal waters distributed in the same region with

indicated that there was 2.9% evaporation when the transferred water

shallow groundwater (in Subregion 2 in Figure 8b). According to

flows through the irrigation canals.

FIGURE 8 The relationship between Cl− and δ18O isotope in surface water and groundwater in different season, November 2014 (a), March 2015 (b), July 2015 (c), and September 2015 (d)

10

KONG

ET AL.

FIGURE 9 Conceptual model of primary hydrological processes occurring in different season. Dry season after water transfer event (a), dry season (b), and rainy season (c)

TABLE 2

Meteorological conditions in Nanpi County

Time

Precipitation (mm)

Dry season after water transfer event

Temperature (°C)

Relative humidity (%)

22.6

1.10

59.25

Dry season

111.8

15.36

62.33

Rainy season

332.1

26.70

72.00

TABLE 3

Evaporation ratio in the dry season after water transfer event

Site ID

δ18O (‰) in November

δ18O (‰) in March

δ2H (‰) in November

δ2H (‰) in March

Remaining fraction

C3

−8.1

−7.0

−58.4

−53.0

0.944

5.6

C4

−7.7

−3.9

−57.4

−37.9

0.826

17.4

C5

−8.1

−4.9

−58.5

−41.8

0.845

15.5

C6

−6.0

−5.3

−47.8

−45.0

0.973

2.7

C7

−6.8

−6.2

−53.7

−49.4

0.960

4.0

C10

−8.2

−7.3

−59.1

−55.5

0.953

4.7

C11

−7.8

−7.2

−58.4

−55.4

0.967

3.3

C16

−8.2

−7.3

−59.4

−55.8

0.953

4.7

C17

−8.4

−7.1

−60.0

−54.9

0.938

6.2

C18

−8.2

−7.1

−59.3

−55.1

0.942

5.8

C20

−8.2

−5.9

−59.3

−47.1

0.889

11.1

3.4.2

|

Dry season

Evaporation ratio (%)

which was mainly due to the large amounts of water used by winter wheat. The increase of δ18O isotope and Cl− concentration indicates

The surface water and shallow groundwater were gradually separated

the evaporation of the surface water. However, the unsynchronized

increased while δ O isotope

growth of δ18O isotope and Cl− concentration during dry season indi-

showed no notable change in shallow groundwater. It indicated the

cates that surface water has the other source, with shallow groundwa-

consuming of water and remaining of salt in shallow groundwater,

ter recharged to it.



(Figure 8c). In the dry season, Cl

18

KONG

11

ET AL.

Based on the assumptions above, we calculated evaporation

conservative ion that can be used to demonstrate mixing processes

ratio of surface water by δ18O and δ2H isotope Rayleigh fraction-

(Panno et al., 2006), and it was applied in this study. In addition,

ation theory. The initial and end isotopic in each surface water

δ18O and δ2H were used as tracers to calculate the mixing ratio of pre-

was isotopic in March and June, respectively. The temperature

cipitation. In this modelling, because there were many precipitations

was 15.36 °C, and relative humidity was 62.33% (Table 2). The cal-

during the rainy season, δ18O, δ2H, and Cl− varied with each event.

culated result was given in Table 4. The evaporation ratios of pond

So we took weighted mean of δ18O, δ2H, and Cl− in precipitation

water and irrigation canal water were 11.3–20.0% and 2.2–31.6%,

water from July sampling time to September sampling time as the

respectively. In order to determine the variation characteristics

precipitation.

along irrigation canal water flow, samples (form C11 to C10 to

In this study, we assumed that the precipitation and surface water

C18 to C17 and to C16) in Xiaoquan Grand Canal along the flow

are fully mixed, and all water is available for evaporative enrichment.

direction were analysed. No isotope enrichment was noted with

Two‐end member mixing model was used to calculate the mixing ratio

water flow in the irrigation canal. This implied that when water

of precipitation with surface water. One end member was weighted

transfer stopped, irrigation canal water was recharged by shallow

mean of the precipitation in the rainy season. The other end member

groundwater (Figure 9b) and the evaporation ratio was disturbed

was surface water in July. Water samples in September were distrib-

by the input of groundwater.

uted between these two end members (Figure 10). The mixing ratio of precipitation in surface water was given in Table 5 (based on δ2H,

3.4.3

|

Rainy season

During the rainy season, the weighted means of δ2H, δ18O, and Cl− for precipitation water were −60.2‰, −8.5‰, and 0.78 mg/L, respectively. The mean δ2H, δ18O, and Cl− for shallow groundwater were − 60.2‰, −8.2‰, and 663 mg/L in July and −60.2‰, −8.5‰, and 556 mg/L in September (Table SI), respectively. The decrease of δ18O isotope and Cl− concentration was observed in shallow groundwater; it indicated precipitation recharge to shallow groundwater (Figure 9c), which also decreased shallow groundwater depth (Figure 5) and TDS (Table SI). The mean δ2H, δ18O, and Cl− concentrations decreased from −51.4‰ to −58.9‰, from −5.9‰ to −8.1‰, and from 1,058 to 442 mg/L in irrigation canal, while they decreased from −36.6‰ to −53.9‰, from −3.3‰ to −7.1‰, and from 988 to 396 mg/L in pond water. Precipitation was the dominant effect leading to changes in the components of the surface water (Figure 9c). Cl− is considered a

TABLE 4

FIGURE 10

The two‐end member modelling in the rainy season

Evaporation ratio in the dry season

Site ID

δ18O (‰) in March

δ18O (‰) in July

δ2H (‰) in March

δ2H (‰) in July

Remaining fraction

C5

−4.9

−3.5

−41.8

−45.2

0.922

7.8

C6

−5.3

−2.7

−45.0

−35.6

0.878

12.2

C7

−6.2

−5.7

−49.4

−48.9

0.978

2.2

C8

−7.5

−7.0

−57.7

−53.6

0.952

4.8

C10

−7.3

−6.4

−55.5

−49.5

0.937

6.3

C11

−7.2

−6.2

−55.4

−54.5

0.976

2.4

C12

−8.9

−1.6

−66.7

−36.1

0.684

31.6

C13

−8.3

−5.3

−65.5

−50.1

0.826

17.4

C14

−8.4

−6.5

−67.5

−53.5

0.849

15.1

C16

−7.3

−6.7

−55.8

−52.4

0.960

4.0

C17

−7.1

−6.1

−54.9

−52.0

0.960

4.0

C18

−7.1

−2.5

−55.1

−37.3

0.787

21.3

P1

−6.0

−3.8

−50.1

−39.0

0.868

13.2

P2

−8.9

−5.4

−67.6

−50.0

0.800

20.0

P5

1.2

3.1

−12.7

−2.4

0.887

11.3

P11

−8.5

−6.9

−66.6

−55.2

0.845

15.5

P12

−2.8

0.2

−34.9

−17.7

0.823

17.7

Evaporation ratio

12

KONG

TABLE 5

The calculated proportions of precipitation during the rainy season July

Site ID

ET AL.

September

Calculation proportion of precipitation

Cl (mg/L)

δ18O (‰)

δ2H (‰)

Cl (mg/L)

δ18O (‰)

δ2H (‰)

Cl

δ18O

C5

5 965

−3.5

−45.2

188

−7.5

−57.0

96.9

79.8

78.7

79.3

C6

1 816

−2.7

−35.6

530

−8.0

−58.8

70.9

92.2

94.2

93.2

C7

1 014

−5.7

−48.9

455

−8.2

−58.8

55.2

89.9

87.2

88.5

C8

516

−7.0

−53.6

510

−8.1

−59.1

1.1

72.0

82.7

77.3

C10

582

−6.4

−49.5

525

−8.1

−58.5

9.8

82.1

84.5

83.3

C11

1 507

−6.2

−54.5

549

−7.9

−57.1

63.6

71.5

46.0

58.8

C12

475

−1.6

−36.1

273

−8.2

−60.2

42.6

95.9

99.8

97.9

C13

875

−5.3

−50.1

460

−8.4

−60.5

47.4

96.6

103.2

99.9

C14

1 041

−6.5

−53.5

737

−8.3

−59.2

29.3

87.9

85.3

86.6

C17

580

−6.1

−52.0

548

−8.2

−60.0

5.5

86.4

98.1

92.3

P1

950

−3.8

−39.0

817

−5.1

−44.9

14.02

28.5

27.7

28.1

δ2H

δ2H + δ18O /2

P2

1 667

−5.4

−50.0

558

−7.7

−57.3

66.55

74.3

71.7

73.0

P3

729

−6.3

−54.0

257

−8.2

−59.0

64.82

86.0

80.8

83.4

P5

1 243

3.1

−2.4

454

−5.8

−47.0

63.49

76.4

77.1

76.8

P8

428

−1.9

−27.8

191

−7.2

−54.4

55.47

80.6

82.0

81.3

P11

1 112

−6.9

−55.2

640

−8.2

−58.9

42.49

83.5

73.8

78.7

P12

361

0.2

−17.7

133

−6.3

−51.4

63.28

74.6

79.4

77.0

δ18O, and Cl−). The mixing ratio of precipitation calculated by using

with increasing distance from the irrigation canal. Water transfer

δ2H and δ18O isotopes was larger than that calculated by using Cl−.

changed the hydro‐chemical characteristics of shallow groundwater,



Extra Cl concentration was dissolved and flowed into the surface

with HCO3− ratio increased in anion. There was 2.9% loss by evapora-

water through surface run‐off due to heavy precipitation. Thus, the

tion from irrigation canal water during water transfer process and

values estimated by using δ2H and δ18O isotopes were more depend-

additional 2.7–17.4% loss by evaporation in the dry season after water

able than by using Cl− (Table 5). However, the ratio of precipitation

transfer event.



could be affected by point source with a high level of Cl . For example,

With the exhaustion of transferred water, the influence of trans-

little remaining water and high Cl− concentration (5,965 mg/L) were

ferred water on interaction between surface water and groundwater

found at C5, which could lead to decreased ratio of precipitation.

disappeared gradually. Groundwater also flowed back into irrigation

The mixing ratio of precipitation with pond water was in the range

canal during the dry season (March to June). The evaporation ratios

of 73–83.4% except one was 28.1% (P1), while that of irrigation canal

of pond water and irrigation canal water in the dry season were

water was 77.3–99.9%. Smaller ratio at P1 was due to the large pond

11.3–20.0% and 2.2–31.6%, respectively. Evaporation was a way for

area, large volume of remaining pond water in July, and minimal pre-

surface water loss. In the rainy season, groundwater is recharged by

cipitation mixing. Though the calculated ratio of mixing of precipita-

infiltration of precipitation, whereas surface water is mixed with pre-

tion would be smaller than the actual value, it can still provide useful

cipitation; 73–83.4% pond water and 77.3–99.9% irrigation canal

information in the surface water recharge.

water sourced from precipitation. Therefore, the signature of water chemistry in surface water was dominated by the precipitation in the rainy season.

4

|

C O N CL U S I O N S

In conclusion, the study showed that transferred freshwater and precipitation (collected during rainy season) is the important water

In the cultivated lowland area of NCP, shallow groundwater and sur-

sources to the local shallow groundwater. Because groundwater is

face water have intimate relationship with each other. Water transfer

the main source of water supply for agricultural irrigation (especially

changed the interaction between surface water and groundwater tem-

in arid and semi‐arid regions), water transfer was an effective way of

porarily. After water was transferred into the area for irrigation during

mitigating regional water shortage.

the dry season (November to March), irrigation canal water is of high water quality because of transferred water from the Yellow River.

A C K O N W LE D G M E N T S

Groundwater is recharged by deep percolation of irrigation with the diverted water near the irrigation canal. Seepage from irrigation canal

The study was supported by Science and Technology Service Network

also provided lateral recharges into underlying shallow aquifer along

Program of Chinese Academy of Sciences (KFJ‐STS‐ZDTP‐001),

the irrigation canal. However, in places far away from irrigation canals,

the National Key Research and Development Program of China

the salinity of the shallow groundwater is no longer affected by the

(2016YFD0800100) and 100‐Talent Project of Chinese Academy of

canal water but controlled by the pumped deep groundwater instead.

Sciences. We greatly thank Associate Professor Ruiqiang Yuan from

The effect of transferred water on shallow groundwater decreased

Shanxi University; Wenbo Zheng, Huan Zhao, and Yuqin Zhang form

KONG

13

ET AL.

Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, CAS; and Jinyu Guo and Yanshun Hao from Nanpi Eco‐Agricultural Experimental Station, CAS for their help in field sampling. We also greatly thank Jiahong Hu from Key Laboratory of Agricultural Water Resources, CAS for her help in the sampling analysed process. The authors greatly thank Dr Juana Paul Moiwo from Njala University for his kind help on the English revision of this paper. We are grateful to the editors and reviewers for their constructive comments and suggestions, which help improve the manuscript. ORCID Shiqin Wang

http://orcid.org/0000-0002-3827-3739

RE FE R ENC E S Anibas, C., Buis, K., Verhoeven, R., Meire, P., & Batelaan, O. (2011). A simple thermal mapping method for seasonal spatial patterns of groundwater–surface water interaction. Journal of Hydrology, 397, 93–104. https://doi.org/10.1016/j.jhydrol.2010.11.036 Arumí, J. L., Rivera, D., Holzapfel, E., Boochs, P., Billib, M., & Fernald, A. (2009). Effect of the irrigation canal network on surface and groundwater interactions in the lower valley of the Cachapoal River, Chile. Chilean Journal of Agricultural Research, 69, 12–20. https://doi.org/ 10.4067/S0718‐58392009000100002

Horita, J., & Wesolowski, D. J. (1994). Liquid‐vapor fractionation of oxygen and hydrogen isotopes of water from the freezing to the critical temperature. Geochimica et Cosmochimica Acta, 58, 3425–3437. https:// doi.org/10.1016/0016‐7037(94)90096‐5 Hu, Y. K., Moiwo, J. P., Yang, Y. H., Han, S. M., & Yang, Y. M. (2010). Agriculturalwater‐saving and sustainable groundwater management in Shijiazhuang Irrigation District, North China Plain. Journal of Hydrology, 393, 219–232. https://doi.org/10.1016/j.jhydrol.2010.08.017 Kahlown, M. A., & Kemper, W. D. (2004). Seepage losses as affected by condition and composition of channel banks. Agricultural Water Management, 65, 145–153. https://doi.org/10.1016/j.agwat.2003.07.006 Kalbus, E., Reinstorf, F., & Schirmer, M. (2006). Measuring methods for groundwater‐ surface water interactions: A review. Hydrology and Earth System Sciences Discussions, 10, 873–887. https://doi.org/10.5194/ hessd‐3‐1809‐2006 Li, Y. S., Zhang, F. W., Han, Z. T., Wang, P., Chen, H. H., & Zhang, Z. J. (2014). Evolution characteristics and influence factors of deep groundwater depression cone in North China Plain, China—A case study in Cangzhou region. Journal of Earth Science, 25, 1051–1058. https:// doi.org/10.1007/s12583‐014‐0488‐5 Li, Z. S., Ouyang, Z., Liu, X. J., & Hu, C. S. (2011). Scientific basis for constructing the “Bohai Sea Granary”–Demands, potential and approaches. Bulletin of the Chinese Academy of Sciences, 26, 371–374. (in Chinese with English Abstrct). https://doi.org/10.3969/j.issn.1000‐ 3045.2011.04.002

Bichler, A., Muellegger, C., Brünjes, R., & Hofmann, T. (2016). Quantification of river water infiltration in shallow aquifers using acesulfame and anthropogenic gadolinium. Hydrological Processes, 30, 1742–1756. https://doi.org/10.1002/hyp.10735

Liu, Y., & Sheng, Z. P. (2011). Trend‐outflow method for understanding interactions of surface water with groundwater and atmospheric water for eight reaches of the Upper Rio Grande. Journal of Hydrology, 409, 710–723. https://doi.org/10.1016/j.jhydrol.2011.09.004

Butler, T. W. (2007). Application of multiple geochemical indicators, including the stable isotopes of water, to differentiate water quality evolution in a region influenced by various agricultural practices and domestic wastewater treatment and disposal. Science of the Total Environment, 388, 149–167. https://doi.org/10.1016/j.scitotenv.2007. 08.031

Liu, Y. C., An, X. R., & Yang, L. H. (2006). Potential analysis of brackish water utilization in Hebei. Water Sciences and Engineering Technology, 1, 13–15. (in Chinese with English Abstrct)

Chen, B. R., Hong, Z. J., & Wang, F. Q. (1988). Groundwater dynamics and prediction. Beijing: Science press. (in Chinese) Clark, I. D., & Fritz, P. (1997). Environmental isotopes in hydrogeology. Boca Raton: CRC press. Craig, H. (1961). Isotopic variations in meteoric waters. Science, 133, 1702–1703. https://doi.org/10.1126/science.133.3465.1702 Douglas, M., Clark, I., Raven, K., & Bottomley, D. (2000). Groundwater mixing dynamics at a Canadian Shield mine. Journal of Hydrology, 235, 88–103. https://doi.org/10.1016/S0022‐1694(00)00265‐1 Fang, S., & Chen, X. L. (1997). Using shallow saline groundwater for irrigation and regulating for soil salt‐water regime. Irrigation and Drainage Systems, 11, 1–14. https://doi.org/10.1023/A:1005736708632 Fernald, A. G., Baker, T. T., & Guldan, S. J. (2007). Hydrologic, riparian, and agroecosystem functions of traditional acequia irrigation systems. Journal of Sustainable Agriculture, 30, 147–171. https://doi.org/10.1300/ J064v30n02_13 Fetter, C. W. (2000). Applied hydrogeology. Prentice Hall: Englewood Cliffs. Freeze, R. A., & Cherry, J. A. (1979). Groundwater. Englewood Cliffs: Prentice Hall. Ghassemi, F., & White, I. (2007). Inter‐basin water transfer: Case studies from Australia, United States, Canada, China, and India. Cambridge: Cambridge University Press. Gonfiantini, R. (1986). Environmental isotopes in lake studies. Handbook of environmental isotope. Geochemistry, 2, 113–168. https://doi.org/ 10.1016/B978‐0‐444‐42225‐5.50008‐5 Harvey, F. E., & Sibray, S. S. (2001). Delineating ground water recharge from leaking irrigation canals using water chemistry and isotopes. Ground Water, 39, 408–421. https://doi.org/10.1111/j.1745‐6584. 2001.tb02325.x

Majoube, M. (1971). Fractionnement en oxygene‐18 et en deuterium entre l'eau et sa vapeur. Journal de Chimie Physique, 68, 1423–1436. McCallum, A. M., Andersen, M. S., Giambastiani, B., Kelly, B. F., & Ian Acworth, R. (2013). River–aquifer interactions in a semi‐arid environment stressed by groundwater abstraction. Hydrological Processes, 27, 1072–1085. https://doi.org/10.1002/hyp.9229 Naylor, S., Letsinger, S. L., Ficklin, D. L., Ellett, K. M., & Olyphant, G. A. (2016). A hydropedological approach to quantifying groundwater recharge in various glacial settings of the mid‐continental USA. Hydrological Processes, 30, 1594–1608. https://doi.org/10.1002/hyp.10718 Pahar, G., & Dhar, A. (2014). A dry zone‐wet zone based modeling of surface water and groundwater interaction for generalized ground profile. Journal of Hydrology, 519, 2215–2223. https://doi.org/10.1016/j. jhydrol.2014.09.088 Panno, S. V., Hackley, K. C., Hwang, H. H., Greenberg, S. E., Krapac, I. G., Landsberger, S., & O'Kelly, D. J. (2006). Characterization and Identification of Na‐Cl Sources in Ground Water. Ground Water, 44(2), 176–187. https://doi.org/10.1111/j.1745-6584.2005.00127.x Qiao, H. L., Liu, X. J., Li, W. Q., & Huang, W. (2006). Effects of straw deep mulching on soil moisture infiltration and evaporation. Science of Soil and Water Conservation, 4, 34–38. (in Chinese with English abstruct) Schoups, G., Hopmans, J. W., Young, C. A., Vrugt, J. A., Wallender, W. W., Tanji, K. K., & Panday, S. (2005). Sustainability of irrigated agriculture in the San Joaquin Valley, California. Proceedings of the National Academy of Sciences, 102, 15352–15356. https://doi.org/10.1073/ pnas.0507723102 Shah, T. (2014). Towards a managed aquifer recharge strategy for Gujarat, India: An economist's dialogue with hydro‐geologists. Journal of Hydrology, 518, 94–107. https://doi.org/10.1016/j.jhydrol.2013.12.022 Sidle, W. (1998). Environmental isotopes for resolution of hydrology problems. Environmental Monitoring and Assessment, 52, 389–410. https:// doi.org/10.1023/A:1005922029958

14

KONG

ET AL.

Sophocleous, M. (2002). Interactions between groundwater and surface water: The state of the science. Hydrogeology Journal, 10, 52–67. https://doi.org/10.1007/s10040‐001‐0170‐8

Woessner, W. W. (2000). Stream and fluvial plain ground water interactions: Rescaling hydrogeologic thought. Ground Water, 38, 423–429. https://doi.org/10.1111/j.1745‐6584.2000.tb00228.x

Squillace, P. J., Thurman, E., & Furlong, E. T. (1993). Groundwater as a nonpoint source of atrazine and deethylatrazine in a river during base flow conditions. Water Resources Research, 29, 1719–1729. https://doi.org/ 10.1029/93WR00290

Xu, L. J., & Li, H. C. (2013). Analysis of evaporation change characteristics of Cangzhou in recent 40 years. Journal of Anhui Agricultural Science, 41, 9032–9034. (in Chinese with English Abstract). https:// doi.org/0517-6611(2013)21-09032-03

Sun, H. Y., Shao, L. W., Liu, X. W., Miao, W. F., Chen, S. Y., & Zhang, X. Y. (2012). Determination of water consumption and the water‐saving potential of three mulching methods in a jujube orchard. European Journal of Agronomy, 43, 87–95. https://doi.org/10.1016/j.eja.2012.05.007

Yang, L. L., Ding, X. Q., Liu, X. J., & Li, P. M. (2016). Impacts of long‐term jujube tree/winter wheat‐summer maize intercropping on soil fertility and economic efficiency–A case study in the lower North China Plain. European Journal of Agronomy, 75, 105–117.

Tian, Y., Zheng, Y., Wu, B., Wu, X., Liu, J., & Zheng, C. (2015). Modeling surface water‐groundwater interaction in arid and semi‐arid regions with intensive agriculture. Environmental Modelling and Software, 63, 170–184. https://doi.org/10.1016/j.envsoft.2014.10.011

Zhang, G. H., Liu, Z. P., Fei, Y. H., Lian, Y. L., Yan, M. J., & Wang, J. Z. (2010). The relationship between the distribution of irrigated crops and the supply capability of regional water resources in North China Plain. Acta Geoscientica Sinica, 31, 17–22. (in Chinese with English Abstract). https://doi.org/1006-3021(2010)01-017-06

Wang, P., Song, X. F., Han, D. M., Zhang, Y. H., & Liu, X. (2010). A study of root water uptake of crops indicated by hydrogen and oxygen stable isotopes: A case in Shanxi Province, China. Agricultural Water Management, 97, 475–482. https://doi.org/10.1016/j.agwat.2009.11.008 Wang, S. Q., Song, X. F., Xiao, G. Q., Wang, Z. M., Liu, X., & Wang, P. (2009). Appliance of oxygen and hydrogen isotope in the process of precipitation infiltration in the shallow groundwater areas of North China Plain. Advances in Water Science, 20, 495–501. https://doi.org/ 1001-6791(2009)04-0495-07 Wang, S. Q., Tang, C. Y., Song, X. F., Wang, Q. X., Zhang, Y. H., & Yuan, R. Q. (2014). The impacts of a linear wastewater reservoir on groundwater recharge and geochemical evolution in a semi‐arid area of the Lake Baiyangdian watershed, North China Plain. Science of the Total Environment, 482, 325–335. https://doi.org/10.1016/j.scitotenv.2014.02.130

Zhang, Z. J., Fei, Y. H., Chen, Z. Y., Zhao, Z. Z., Xie, Z. H., Wang, Y. W., … Yang, Q. Q. (2009). Investigation and assessment of the sustainable use of groundwater in North China Plain. Beijing: Geological Publishing House. (in Chinese).

SUPPORTI NG INFORMATION Additional supporting information may be found online in the Supporting Information section at the end of the article.

How to cite this article: Kong X, Wang S, Liu B, Sun H, Sheng

Wilson, J., & Rocha, C. (2016). A combined remote sensing and multi‐tracer approach for localising and assessing groundwater‐lake interactions. International Journal of Applied Earth Observation and Geoinformation, 44, 195–204. https://doi.org/10.1016/j.jag.2015.09.006

Z. Impact of water transfer on interaction between surface

Winter, T. C. (1999). Ground water and surface water: A single resource. US Geological Survey.

10.1002/hyp.13136

water and groundwater in the lowland area of North China Plain. Hydrological Processes. 2018;1–14. https://doi.org/