Distributed Estimation and Analysis of Precipitation Recharge Coefficient in Strongly-exploited Beijing Plain Area, China

PAN Yun; GONG Huili; SUN Ying; WANG Xinjuan; DING Fei

doi:10.1007/s11769-016-0839-5

Distributed Estimation and Analysis of Precipitation Recharge Coefficient in Strongly-exploited Beijing Plain Area, China

doi: 10.1007/s11769-016-0839-5

1.
College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China;
2.
Beijing Institute of Hydroge-ology and Engineering Geology, Beijing 100195, China;
3.
College of Architecture and Civil Engineering, Beijing University of Tech-nology, Beijing 100124, China

基金项目: Under the auspices of Beijing Natural Science Foundation (No. 8152012), National Natural Science Foundation of China (No. 41101033, 41130744, 41171335).

详细信息

通讯作者:
PAN Yun.E-mail:pan@cnu.edu.cn

Distributed Estimation and Analysis of Precipitation Recharge Coefficient in Strongly-exploited Beijing Plain Area, China

1.
College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China;
2.
Beijing Institute of Hydroge-ology and Engineering Geology, Beijing 100195, China;
3.
College of Architecture and Civil Engineering, Beijing University of Tech-nology, Beijing 100124, China

Funds: Under the auspices of Beijing Natural Science Foundation (No. 8152012), National Natural Science Foundation of China (No. 41101033, 41130744, 41171335).

More Information

Corresponding author: PAN Yun.E-mail:pan@cnu.edu.cn

摘要: The precipitation recharge coefficient (PRC), representing the amount of groundwater recharge from precipitation, is an important parameter for groundwater resources evaluation and numerical simulation. It was usually obtained from empirical knowledge and site experiments in the 1980s. However, the environmental settings have been greatly modified from that time due to land use change and groundwater over-pumping, especially in the Beijing plain area (BPA). This paper aims to estimate and analyze PRC of BPA with the distributed hydrological model and GIS for the year 2011 with similar annual precipitation as long-term mean. It is found that the recharge from vertical (precipitation + irrigation) and precipitation is 291.0 mm/yr and 233.7 mm/yr, respectively, which accounts for 38.6% and 36.6% of corresponding input water. The regional mean PRC is 0.366, which is a little different from the traditional map. However, it has a spatial variation ranging from -7.0% to 17.5% for various sub-regions. Since the vadose zone is now much thicker than the evaporation extinction depth, the land cover is regarded as the major dynamic factor that causes the variation of PRC in this area due to the difference of evapotranspiration rates. It is suggested that the negative impact of reforestation on groundwater quantity within BPA should be well investigated, because the PRC beneath forestland is the smallest among all land cover types.
- groundwater recharge /
- distributed hydrological model /
- land cover /
- geographic information systems
Abstract: The precipitation recharge coefficient (PRC), representing the amount of groundwater recharge from precipitation, is an important parameter for groundwater resources evaluation and numerical simulation. It was usually obtained from empirical knowledge and site experiments in the 1980s. However, the environmental settings have been greatly modified from that time due to land use change and groundwater over-pumping, especially in the Beijing plain area (BPA). This paper aims to estimate and analyze PRC of BPA with the distributed hydrological model and GIS for the year 2011 with similar annual precipitation as long-term mean. It is found that the recharge from vertical (precipitation + irrigation) and precipitation is 291.0 mm/yr and 233.7 mm/yr, respectively, which accounts for 38.6% and 36.6% of corresponding input water. The regional mean PRC is 0.366, which is a little different from the traditional map. However, it has a spatial variation ranging from -7.0% to 17.5% for various sub-regions. Since the vadose zone is now much thicker than the evaporation extinction depth, the land cover is regarded as the major dynamic factor that causes the variation of PRC in this area due to the difference of evapotranspiration rates. It is suggested that the negative impact of reforestation on groundwater quantity within BPA should be well investigated, because the PRC beneath forestland is the smallest among all land cover types.
- groundwater recharge /
- distributed hydrological model /
- land cover /
- geographic information systems

[1]	Allocca V, Manna F, De Vita P, 2014. Estimating annual ground-water recharge coefficient for karst aquifers of the southern Apennines (Italy). Hydrology and Earth System Sciences, 18(2):803-817. doi: 10.5194/hess-18-803-2014
[2]	Batelaan O, De Smedt F, 2007. GIS-based recharge estimation by coupling surface-subsurface water balances. Journal of Hy-drology, 337(3-4):337-355. doi:10.1016/j.jhydrol.2007. 02.001
[3]	Beijing Water Authority, 2011, Beijing Water Statistical Yearbook, Beijing:China Building Industry Press. (in Chinese)
[4]	BIHEG (Beijing Institute of Hydrogeology and Engineering Ge-ology), 2006. Report on the Investigation of Beijing Ground-water Resources Potential. Beijing:Beijing Institute of Hy-drogeology and Engineering Geology. (in Chinese)
[5]	BIHEG (Beijing Institute of Hydrogeology and Engineering Ge-ology), 1986. Report on the Experiment of Groundwater Evaporation and Precipitation Infiltration at Liaogongzhuang, West Beijing. Beijing:Beijing Institute of Hydrogeology and Engineering Geology. (in Chinese)
[6]	Cui Qiuyang, Pan Yun, Yang Xue, 2015. Beijing plain area of remote sensing images based on landsat 8 impermeable layer coverage estimates. Journal of Capital Normal University, 36(2):89-92. (in Chinese)
[7]	Gau H S, Liu C W, 2000. Estimation of the effective precipitation recharge coefficient in an unconfined aquifer using stochastic analysis. Hydrological Processes, 14(4):811-830.
[8]	Gebreyohannes T, De Smedt F, Walraevens K et al., 2013. Appli-cation of a spatially distributed water balance model for as-sessing surface water and groundwater resources in the Geba basin, Tigray, Ethiopia. Journal of Hydrology, 499:110-123. Doi: 10.1016/j.jhydrol.2013.06.026
[9]	Gong H, Pan Y, Xu Y, 2012. Spatio-temporal variation of groundwater recharge in response to variability in precipitation, land use and soil in Yanqing Basin, Beijing, China. Hy-drogeology Journal, 20(7):1331-1340. doi:10.1007/s 10040-012-0883-x
[10]	Huang T,Pang Z,2011. Estimating groundwater recharge fol-lowing land-use change using chloride mass balance of soil profiles:A case study at Guyuan and Xifeng in the Loess Plat-eau of China. Hydrogeology Journal, 19:177-186. doi:10. 1007/s10040-010-0643-8
[11]	Huang Wanli, 1980. Theory and methods about exploring new groundwater resources. Geotechnical Investigation & Survey-ing, 3:29-31, 47. (in Chinese)
[12]	Institute of China Geological Enviornment Monitoring, 2011, China Geological Environment Monitoring:Groundwater Yearbook, Beijing:Vastplain House. (in Chinese)
[13]	Kendy E, Gérard-Marchant P, Walter M T et al., 2003. A soil-water-balance approach to quantify groundwater recharge from irrigated cropland in the North China Plain. Hydrological Processes, 17(10):2011-2031. doi: 10.1002/hyp.1240
[14]	Lin D, Jin M, Liang X, Zhan H, 2013. Estimating groundwater recharge beneath irrigated farmland using environmental tracers fluoride, chloride and sulfate. Hydrogeology Journal, 21:1469-1480. doi: 10.1007/s10040-013-1015-y
[15]	Lu X, Jin M, van Genuchten M T, Wang B, 2011. Groundwater recharge at five representative sites in the Hebei Plain, China. Groundwater, 49(2):286-294. doi:10.1111/j.1745-6584.2009. 00667.x
[16]	Meng Suhua, Fei Yuhong, Zhang Zhaoji et al., 2013. Research on spatial and temporal distribution of the precipitation infiltration amount over the past 50 years in North China Plain. Advances in Earth Science, 28(8):923-929. (in Chinese)
[17]	Ministry of Water Resources of China, 2010, China Water Re-sources Bulletin. Beijing:China Water Power Press. (in Chi-nese)
[18]	Pan Y, Gong H, Zhou D et al., 2011. Impact of land-use change on groundwater recharge in Guishui River Basin, China. Chinese Geographical Science, 21(6):734-743. doi: 10.1007/s11769-011-0508-7
[19]	Scanlon B R, Healy R W, Cook P G, 2002. Choosing appropriate techniques for quantifying groundwater recharge. Hydrogeol-ogy Journal, 10:18-39. doi: 10.1007/s10040-001-0176-2
[20]	Sun Ying, 2000. Experiments on the infiltration coefficient. Beijing Geology, 3:6-12. (in Chinese)
[21]	Szilagyi J, Jozsa J, 2013. MODIS-aided statewide net groundwa-ter-recharge estimation in Nebraska. Groundwater, 51(5):735-744. doi: 10.1111/j.1745-6584.2012.01019.x
[22]	Tan X, Wu J, Cai S et al., 2014. Characteristics of groundwater recharge on the North China Plain. Groundwater, 52(5):798-807. doi: 10.1111/gwat.12114
[23]	TAN Xiucui, YANG Jinzhong, SONG Xuehang et al., 2013. Es-timation of groundwater recharge in North China Plain. Ad-vances in Water Science, 24(1):73-81. (in Chinese)
[24]	von Rohden C, Kreuzer A, Chen Z et al., 2010. Characterizing the recharge regime of the strongly exploited aquifers of the North China Plain by environmental tracers. Water Resources Re-search, 46:W05511. doi: 10.1029/2008WR007660
[25]	Wang B, Jin M, Nimmo J R et al., 2008. Estimating groundwater recharge in Hebei Plain, China under varying land use practices using tritium and bromide tracers.Journal of Hydrology, 356:209-222. doi: 10.1016/j.jhydrol.2008.04.011
[26]	Wang Liya, Liu Jiurong, Zhou Tao et al., Y, 2010. Analysis of sustainable groundwater resources development scenarios in the Beijng Plain. Hydrogeology & Engineering Geology, 37(1):9-17. (in Chinese)
[27]	Xu H, 2013. Estimating Precipitation Recharge in Beijing with Remote Sensing. Beijing:Capital Normal University. (in Chi-nese)
[28]	Xu Y, van Tonder GJ, 2001. Estimation of recharge using a revised CRD method. Water SA, 27(3):341-343.
[29]	Yuan R, Song X, Zhang Y et al., 2011. Rate and historical change of direct recharge from precipitation constrained by unsaturated zone profiles of chloride and oxygen-18 in dry river bed of North China Plain. Hydrological Processes, 26(9):1291-1301. doi: 10.1002/hyp.8207
[30]	ZHAI Yuan zheng, WANG Jin sheng, HUAN Huan et al., 2012. Groundwater dynamic equilibrium evidence for changes of renewability of groundwater in Beijing Plian. Journal of Jilin University (Earth Science Edition), 42(1):198-205. (in Chi-nese)
[31]	Zhang Anjing, Ye Chao, Li Yu et al., 2008. Beijing Groundwater. Beijing:China Land Pressing House. (in Chinese)
[32]	ZHANG Guang-hui, FEI Yu-hong, SHEN Jian-mei et al., 2007. Influence of unsaturated zone thickness on precipitation infil-tration for recharge of groundwater. Journal of Hydraulic En-gineering, 38(5):611-617. (in Chinese)

[1]	Yi SHANG, Dongyan WANG, Shuhan LIU, Hong LI. Stability of Land-use/Land-cover in National Nature Reserves of Jilin Province, China . Chinese Geographical Science, 2022, 32(2): 324-339. doi: 10.1007/s11769-022-1269-1
[2]	Junhong CHEN, Lihua ZHANG, Peipei CHEN, Yongming MA. Application of Spatially Distributed Calibrated Hydrological Model in Evapotranspiration Simulation of Three Gorges Reservoir Area of China: A Case Study in the Madu River Basin . Chinese Geographical Science, 2022, 32(6): 1083-1098. doi: 10.1007/s11769-022-1318-9
[3]	Tingting YANG, Musa ALA, Dexin GUAN, Anzhi WANG. The Effects of Groundwater Depth on the Soil Evaporation in Horqin Sandy Land, China . Chinese Geographical Science, 2021, 31(4): 727-734. doi: 10.1007/s11769-021-1220-x
[4]	SERASINGHE PATHIRANAGE Inoka Sandamali, Lakshmi N. KANTAKUMAR, SUNDARAMOORTHY Sivanantharajah. Remote Sensing Data and SLEUTH Urban Growth Model: As Decision Support Tools for Urban Planning . Chinese Geographical Science, 2018, 28(2): 274-286. doi: 10.1007/s11769-018-0946-6
[5]	YAN Mi1, 2, WANG Zhiyuan2, 3, Jed Oliver KAPLAN4, LIU Jian1, 2, MIN Shen2, WANG. Comparison Between Reconstructions of Global Anthropogenic Land Cover Change over Past Two Millennia . Chinese Geographical Science, 2013, 23(2): 131-146.
[6]	LI Xianghu, ZHANG Qi, YE Xuchun. Effects of Spatial Information of Soil Physical Properties on Hydrological Modeling Based on a Distributed Hydrological Model . Chinese Geographical Science, 2013, 23(2): 182-193.
[7]	ZHANG Jing, Mark A ROSS, Jeffery GEURINK. Discretization Approach in Integrated Hydrologic Model for Surface and Groundwater Interaction . Chinese Geographical Science, 2012, 22(6): 659-672.
[8]	DU Peijun, YUAN Linshan, XIA Junshi, et al.. Fusion and Classification of Beijing-1 Small Satellite Remote Sensing Image for Land Cover Monitoring in Mining Area . Chinese Geographical Science, 2011, 21(6): 656-665.
[9]	CHEN Beibei, GONG Huili, LI Xiaojuan, et al.. Spatial-temporal Characteristics of Land Subsidence Corresponding to Dynamic Groundwater Funnel in Beijing Municipality, China . Chinese Geographical Science, 2011, 21(6): 753-764.
[10]	PAN Yun, GONG Huili, ZHOU Demin, et al.. Impact of Land Use Change on Groundwater Recharge in Guishui River Basin, China . Chinese Geographical Science, 2011, 21(6): 734-743.
[11]	Mohammad Reza Jelokhani-Niaraki, Ali Asghar Alesheikh, Abolghasem Sadeghi-Niaraki. An Efficient Approach for Historical Storage and Retrieval of Segmented Road Data in Geographic Information System for Transportation . Chinese Geographical Science, 2010, 20(3): 236-242. doi: 10.1007/s11769-010-0236-4
[12]	NA Xiaodong, ZHANG Shuqing, ZHANG Huaiqing, LI Xiaofeng, YU Huan, LIU Chunyue. Integrating TM and Ancillary Geographical Data with Classification Trees for Land Cover Classification of Marsh Area . Chinese Geographical Science, 2009, 19(2): 177-185. doi: 10.1007/s11769-009-0177-y
[13]	LIU Dianwei, WANG Zongming, SONG Kaishan, ZHANG Bai, HU Liangjun, HUANG Ni, ZHANG Sumei, LUO Ling, ZHANG Chunhua, JIANG Guangjia. Land Use/Cover Changes and Environmental Consequences in Songnen Plain, Northeast China . Chinese Geographical Science, 2009, 19(4): 299-305. doi: 10.1007/s11769-009-0299-2
[14]	LI Xianghu, REN Liliang. Effect of Temporal Resolution of NDVI on Potential Evapotranspiration Estimation and Hydrological Model Performance . Chinese Geographical Science, 2007, 17(4): 357-363. doi: 10.1007/s11769-007-0363-6
[15]	Moiwo Juana PAUL. Impact of Land-use Patterns on Distributed Groundwater Recharge and Discharge——A Case Study of Western Jilin, China . Chinese Geographical Science, 2006, 16(3): 229-235.
[16]	ZHANG Xiu-ying, FENG Xue-zhi, DENG Hui. LAND-COVER DENSITY-BASED APPROACH TO URBAN LAND USE MAPPING USING HIGH-RESOLUTION IMAGERY . Chinese Geographical Science, 2005, 15(2): 162-167.
[17]	WU Xiu-qin, CAI Yun-long. LAND COVER CHANGES AND LANDSCAPE DYNAMICS ASSESSMENT IN LOWER REACHES OF TARIM RIVER IN CHINA . Chinese Geographical Science, 2004, 14(1): 28-33.
[18]	ZHUANG Da-fang, LIU Ming-liang, DENG Xiang-zheng. SPATIALIZATION MODEL OF POPULATION BASED ON DATASET OF LAND USE AND LAND COVER CHANGE IN CHINA . Chinese Geographical Science, 2002, 12(2): 114-119.
[19]	YE Bao-ying, HUANG Fang, ZHANG Shu-wen, ZHANG Yang-zhen. THE DRIVING FORCES OF LAND USE/COVER CHANGE INTHE UPSTREAM AREA OF THE NENJIANG RIVER . Chinese Geographical Science, 2001, 11(4): 377-381.
[20]	黄铁青, 刘兆礼, 潘瑜春, 张养贞. LAND COVER SURVEY IN NORTHEAST CHINA USING REMOTE SENSING AND GIS . Chinese Geographical Science, 1998, 8(3): 264-270.

点击查看大图

计量

文章访问数: 209
HTML全文浏览量: 6
PDF下载量: 649
被引次数: 0

姓名
邮箱
手机号码
标题
留言内容
验证码

留言板

Distributed Estimation and Analysis of Precipitation Recharge Coefficient in Strongly-exploited Beijing Plain Area, China

doi: 10.1007/s11769-016-0839-5

通讯作者:
PAN Yun.E-mail:pan@cnu.edu.cn

Distributed Estimation and Analysis of Precipitation Recharge Coefficient in Strongly-exploited Beijing Plain Area, China

Corresponding author: PAN Yun.E-mail:pan@cnu.edu.cn

计量

Distributed Estimation and Analysis of Precipitation Recharge Coefficient in Strongly-exploited Beijing Plain Area, China

doi: 10.1007/s11769-016-0839-5

1. College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China;

2. Beijing Institute of Hydroge-ology and Engineering Geology, Beijing 100195, China;

3. College of Architecture and Civil Engineering, Beijing University of Tech-nology, Beijing 100124, China

通讯作者: PAN Yun.E-mail:pan@cnu.edu.cn

English Abstract

Distributed Estimation and Analysis of Precipitation Recharge Coefficient in Strongly-exploited Beijing Plain Area, China

1. College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China;

2. Beijing Institute of Hydroge-ology and Engineering Geology, Beijing 100195, China;

3. College of Architecture and Civil Engineering, Beijing University of Tech-nology, Beijing 100124, China

Corresponding author: PAN Yun.E-mail:pan@cnu.edu.cn

全文HTML

目录

留言板

Distributed Estimation and Analysis of Precipitation Recharge Coefficient in Strongly-exploited Beijing Plain Area, China

doi: 10.1007/s11769-016-0839-5

通讯作者: PAN Yun.E-mail:pan@cnu.edu.cn

Distributed Estimation and Analysis of Precipitation Recharge Coefficient in Strongly-exploited Beijing Plain Area, China

Corresponding author: PAN Yun.E-mail:pan@cnu.edu.cn

计量

出版历程

Distributed Estimation and Analysis of Precipitation Recharge Coefficient in Strongly-exploited Beijing Plain Area, China

doi: 10.1007/s11769-016-0839-5

1. College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China; 2. Beijing Institute of Hydroge-ology and Engineering Geology, Beijing 100195, China; 3. College of Architecture and Civil Engineering, Beijing University of Tech-nology, Beijing 100124, China

通讯作者: PAN Yun.E-mail:pan@cnu.edu.cn

English Abstract

Distributed Estimation and Analysis of Precipitation Recharge Coefficient in Strongly-exploited Beijing Plain Area, China

1. College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China; 2. Beijing Institute of Hydroge-ology and Engineering Geology, Beijing 100195, China; 3. College of Architecture and Civil Engineering, Beijing University of Tech-nology, Beijing 100124, China

Corresponding author: PAN Yun.E-mail:pan@cnu.edu.cn

全文HTML

目录

通讯作者:
PAN Yun.E-mail:pan@cnu.edu.cn

1. College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China;

2. Beijing Institute of Hydroge-ology and Engineering Geology, Beijing 100195, China;

3. College of Architecture and Civil Engineering, Beijing University of Tech-nology, Beijing 100124, China

1. College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China;

2. Beijing Institute of Hydroge-ology and Engineering Geology, Beijing 100195, China;

3. College of Architecture and Civil Engineering, Beijing University of Tech-nology, Beijing 100124, China