基于GRACE卫星和GLDAS系统的地下水水位估算模型——以和田地区克里雅河流域为例

doi:10.18306/dlkxjz.2018.07.005

Abstract

Abstract:

The change of Earth's gravity field is an important factor that leads to the change of terrestrial water storage. Using GRACE (gravity recovery and climate experiment) gravity field recovery and climate experiment gravity satellite data, combined with GLDAS (global land data assimilation systems) global land surface data assimilation system and measured groundwater level data, inversion of the dynamic changes of terrestrial water storage in the Hetian area during four seasons in 11 years was simulated and the trend of change in equivalent water height was calculated, and the estimation model of groundwater level was constructed. The results indicate that the terrestrial water storage showed an increasing trend in the Hetian area in the spring and summer, in contrast to the autumn and winter; inversion of the terrestrial water storage by GRACE is more intense than simulation of the water resources change by GLDAS, but correlation of the dynamic changes of the two kinds of data is very high; equivalent water height by GLDAS second order differential, change of water resources by GLDAS reciprocal first order differential, change of terrestrial water reserves by GRACE reciprocal transformation, and change of groundwater reserves first order differential are most sensitive, and the stepwise regression model is superior to the linear function. The lower the water level, the higher the applicability of the stepwise regression estimation model.

Key words: gravity recovery and climate experiment(GRACE), global land data assimilation systems(GLDAS), water resources, Hetian area, Keriya River Basin

Qian SUN, BAIDOURELA·Aliya. Mathematical fitting of influencing factors and measured groundwater level: Take Keriya River Basin in Hetian area as an example[J].PROGRESS IN GEOGRAPHY, 2018, 37(7): 912-922.

Figures/Tables 8

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Tab.2

Tab. 3

Fig.7

References 32

[1]	程仲雷. 2012. 克里雅绿洲盐渍化及地下水调控措施研究[D]. 乌鲁木齐: 新疆大学.
	[Cheng Z L.Study on salinization and groundwater control measures of Keleya Oasis [D]. Urumqi, China: Xinjiang University.]
[2]	丁俊祥, 邹杰, 唐立松, 等. 2015. 克里雅河流域荒漠—绿洲交错带3种不同生活型植物的光合特性[J]. 生态学报, 35(3): 733-741. doi: 10.5846/stxb201310302623
	[Ding J X, Zou J, Tang L S, et al.2015. Photosynthetic characteristics of three different life-form plants in the desert-oasis ecotone of Keriya River Basin[J]. Acta Ecologica Sinica, 35(3): 733-741.] doi: 10.5846/stxb201310302623
[3]	杜清, 徐海量, 凌红波, 等. 2015. 克里雅河流域1990-2010年土地利用/覆被变化及其生态环境状况评价[J].水土保持研究, 22(3): 198-202.
	[Du Q, Xu H L, Ling H B, et al.2015. Land use/cover change and its ecological environment condition evaluation in the Keriya River Basin from 1990 to 2010[J]. Research of Soil and Water Conservation, 22(3): 198-202.]
[4]	侯艳军, 塔西甫拉提·特依拜, 买买提·沙吾提, 等. 2014. 荒漠土壤有机质含量高光谱估算模型[J]. 农业工程学报, 30(16): 113-120.
	[Hou Y J, Tashpolat·T, Mamat·S, et al.2014. Estimation model of desert soil organic matter content using hyperspectral data[J]. Transactions of the Chinese Society of Agricultural Engineering, 30(16): 113-120.]
[5]	胡立堂, 孙康宁, 尹文杰. 2016. GRACE卫星在区域地下水管理中的应用潜力综述[J]. 地球科学与环境学报, 38(2): 258-266.
	[Hu L T, Sun K N, Yin W J.2016. Review on the application of GRACE satellite in regional groundwater management[J]. Journal of Earth Sciences and Environment. 38(2): 258-266.]
[6]	廖梦思, 章新平, 黄煌, 等. 2016. 利用GRACE卫星监测近10年洞庭湖流域水储量变化[J]. 地球物理学进展, 31(1): 61-68.
	[Liao M S, Zhang X P, Huang H, et al.2016. Monitoring water storage changes in Dongting Lake Basin from GRACE gravity satellite[J]. Progress in Geophysics, 31(1): 61-68.]
[7]	凌红波, 徐海量, 刘新华, 等. 2002. 新疆克里雅河流域绿洲适宜规模[J]. 水科学进展, 23(4): 563-568.
	[Ling H B, Xu H L, Liu X H, et al.2002. Suitable scale of oasis in Keriya River Basin, Xinjiang[J]. Advances in Water Science, 23(4): 563-568.]
[8]	刘敏, 黄领梅, 沈冰, 等. 2009. 和田绿洲地下水埋深的自然影响因素分析[J]. 中国生态农业学报, 17(1): 174-177. doi: 10.3724/SP.J.1011.2009.00174
	[Liu M, Huang L M, Shen B, et al.2009. Physical influencing factors of groundwater depth in Hotan Oasis[J]. Chinese Journal of Eco-Agriculture, 17(1): 174-177.] doi: 10.3724/SP.J.1011.2009.00174
[9]	冉全, 潘云, 王一如, 等. 2013. GRACE卫星数据在海河流域地下水年开采量估算中的应用[J]. 水利水电科技进展, 33(2): 42-46. doi: 10.3880/j.issn.10067647.2013.02.009
	[Ran Q, Pan Y, Wang R Y, et al.2013. Estimation of annual ground water exploitation in Haihe River Basin by use of GRAC Esatellite data[J]. Advances in Science and Technology of Water Resources, 33(2): 42-46.] doi: 10.3880/j.issn.10067647.2013.02.009
[10]	苏晓莉, 平劲松, 叶其欣. 2012. GRACE 卫星重力观测揭示华北地区陆地水量变化[J]. 中国科学: 地球科学, 42(6): 917-922.
	[Su X L, Ping J S, Ye Q X.2012. Terrestrial water variations in the North China Plain revealed by the GRACE mission[J]. Science China: Earth Science, 42(6): 917-922.]
[11]	陶兰花, 塔西甫拉提·特依拜, 姜红涛, 等. 2014. 克里雅河流域土壤盐分光谱定量分析[J]. 中国沙漠, 34(6): 1562-1567. doi: 10.7522/j.issn.1000-694X.2013.00427
	[Tao L H, Tashpolat·T, Jiang H T, et al.2014. Quantitative retrieval of soil salt content using hyperspectral data in the Keriya River Basin[J]. Journal of Desert Research, 34(6): 1562-1567.] doi: 10.7522/j.issn.1000-694X.2013.00427
[12]	王仕琴, 宋献方, 王勤学, 等. 2008. 华北平原浅层地下水水位动态变化[J]. 地理学报, 63(5): 462-472. doi: 10.3321/j.issn:0375-5444.2008.05.002
	[Wang S Q, Song X F, Wang Q X, et al.2008. Dynamic features of shallow groundwater in North China Plain[J]. Acta Geographica Sinica, 63(5): 462-472.] doi: 10.3321/j.issn:0375-5444.2008.05.002
[13]	王婉昭, 高艳红, 许建伟. 2013. 青藏高原及其周边干旱区气候变化特征与GLDAS适用性分析[J]. 高原气象, 32(3): 635-645. doi: 10.7522/j.issn.1000-0534.2013.00054
	[Wang W Z, Gao Y H, Xu J W.2013. Applicability of GLDAS and climate in the Qinghai-Xizang Plateau and its surrouding arid area[J]. Plateau Meteorology, 32(3): 635-645.] doi: 10.7522/j.issn.1000-0534.2013.00054
[14]	王文, 王小菊, 王鹏. 2014. GLDAS月降水数据在中国区的适用性评估[J]. 水科学进展, 25(6): 769-778.
	[Wang W, Wang X J, Wang P.2014. Assessing the applicability of GLDAS monthly precipitation data in China[J]. Advances in Water Science, 25(6): 769-778.]
[15]	王志强, 柴寿喜, 仲晓梅, 等. 2007. 多元逐步回归分析应用于固化土强度与微结构参数相关性评价[J]. 岩土力学, 28(8): 1650-1654.
	[Wang Z Q, Chai S X, Zhong X M, et al.2007. Multivariate stepwise regression method use in correlation analysis of microstructure indices and strength of solidified soil[J]. Rock and Soil Mechanics, 28(8): 1650-1654.]
[16]	许民, 叶柏生, 赵求东. 2013. 2002-2010年长江流域GRACE水储量时空变化特征[J].地理科学进展, 32(1) : 68-77.
	[Xu M, Ye B S, Zhao Q D.2013. Temporal and spatial patternof water storage changes over the Yangtze River basin during 2002-2010 based on GRACE satellite data[J]. Progress in Geography, 32(1): 68-77.]
[17]	姚荣江, 杨劲松, 杨奇勇, 等. 2011. 禹城地区土壤铅含量空间分布的指示克里格估值[J]. 生态环境学报, 20(12): 1912-1918. doi: 10.3969/j.issn.1674-5906.2011.12.023
	[Yao R J, Yang J S, Yang Q Y, et al.2011. Indicator Kriging of spatial distributionof soil Pb content in Yucheng City[J]. Ecology and Environmental Sciences, 20(12): 1912-1918.] doi: 10.3969/j.issn.1674-5906.2011.12.023
[18]	尹文杰, 胡立堂, 王景瑞. 2015. 基于GRACE重力卫星的甘肃北山地区地下水储量变化规律研究[J]. 水文地质工程地质, 42(4): 29-34. doi: 10.16030/j.cnki.issn.1000-3665.2015.04.06
	[Yin W J, Hu L T, Wang J R.2015. Changes of groundwater storage variation based on GRACE data at the Beishan area, Gansu Province[J]. Hydrogeology & Engineering Geology, 42(4): 29-34.] doi: 10.16030/j.cnki.issn.1000-3665.2015.04.06
[19]	喻钰, 黄领梅, 沈冰, 等. 2009. 和田流域耗水现状分析[J]. 水资源与水工程学报, 20(6): 47-51.
	[Yu Y, Huang L M, Shen B, et al.2009. Current situation analysis of water consumption in Hotan River Basin[J]. Journal of Water Resources & Water Engineering, 20(6): 47-51.]
[20]	翟宁, 王泽民, 伍岳, 等. 2009. 利用GRACE反演长江流域水储量变化[J]. 武汉大学学报, 34(4): 436-439.
	[Zhai N, Wang Z M, Wu Y, et al.2009. Recovery of Yangtze River Basin water storage variations by GRACE observations[J]. Geomatics and Information Science of Wuhan University, 34(4): 436-439.]
[21]	周兴佳, 黄小江, 陈方. 1995. 新疆克里雅河绿洲形成、演变与综合整治[J]. 干旱区资源与环境, 9(3): 65-73.
	[Zhou X J, Huang X J, Chen F, 1995. Formation, evolution and management of Keliyahe Oasis[J]. Journal of Arid Land Resources and Environment, 9(3): 65-73.]
[22]	Goncaivas J, Petersen J, Deschamps P, et al.2013. Quantifying the modern recharge of the "fossil" Sahara aquifers[J]. Geophysical Research Letters, 40(11): 2673-2678. doi: 10.1002/grl.50478
[23]	Lee J J, Jang C S, Wang S W, et al.2007. Evaluation of potential health risk of arsenic-affected groundwater using indicator Kriging and dose response model[J]. Science of the Total Enviroment, 384(1):151-162. doi: 10.1016/j.scitotenv.2007.06.021
[24]	Lorenz C, Tounan M J, Devaraju B, et al.2015. Basin-scale runoff prediction: An Ensemble Kalman Filter framework based on global hydrometeorological data sets[J]. Water Resources Research, 51(10): 8450-8475. doi: 10.1002/2014WR016794
[25]	Mohamed A, Mohamed S, John W, et al.2011. Integration of GRACE (Gravity Recovery and Climate Experiment)data with traditional data sets for a better understanding of the time dependent water partitioning in African watersheds[J]. Geology, 39(5): 479-482. doi: 10.1130/G31812.1
[26]	Moiwo J P, Yang Y, Tao F, et al.2011. Water storage change in the Himalayas from the Gravity Recovery and Climate Experiment (GRACE) and an empirical climate model[J]. Water Resources Research, 47: W07521.
[27]	Rodell M, Chen J, Kato H, et al.2007. Estimating groundwater storage changes in the Mississippi River Basin(USA) using GRACE[J]. Hydrogeology Journal, 15(1): 159-166. doi: 10.1007/s10040-006-0103-7
[28]	Rodell M, Famiglietti J S, Chen J L, et al.2004. Basin scale estimates of evapotranspiration using GRACE and other observation[J]. Geophysical Research Letters, 31: L20504. doi: 10.1029/2004GL020873
[29]	Tavarbeae M T, Sousaa A J, Abreu M M.2008. Ordinary kriging and indicator Kriging in the cartography of trace elements contamination in Sao Domingos mining site (Alentejo, Portugal)[J]. Journal of Geochemical Exporation, 98(1-2): 43-56. doi: 10.1016/j.gexplo.2007.10.002
[30]	Wahr J M.2007. Time variable gravity from satellites[J]. Treatise on Geophysics, 3: 213-237. doi: 10.1016/B978-044452748-6/00176-0
[31]	Werth S, Guntner A, Schmidt R, et al.2009. Evaluation of GRACE filter tools from a hydrological perspective[J]. Geophysical Journal International, 179: 1499-1515. doi: 10.1111/j.1365-246X.2009.04355.x
[32]	Ye S H, Ping J S, Su X L, et al.2010. GRACE mission revealed the seasonal changes of water storage[J]. Spacecraft Engineering, 19(4): 1-7.

数据类型	提高敏感度	最佳拟合方程	统计量F	决定系数R²	校正决定系数
GLDAS水资源等效水高	二阶微分	X₁=0.063X³+0.39X²-0.432X+0.511	12.33	0.60	0.54
GLDAS水资源变化	倒数一阶微分	X₂=0.231X³+0.512X²-0.781X+1.241	9.76	0.53	0.51
GRACE陆地水储量变化	对数变换	X₃=0.38×e^-15.69^X	21.22	0.55	0.49
地下水储量变化	一阶微分	X₄=0.25X²-0.44X+2.219	18.39	0.67	0.69

模型类型	拟合函数	模型校正			模型检验
模型类型	拟合函数	R²	RMSE	F	R²	RMSE	F	t
线性函数	Y=0.167X₁+0.125X₂-0.634X₃-0.327X₄+5.745	0.5012	1.4722	12.98	0.5810	0.9189	10.34	2.021
多元逐步回归	Y=0.642X₁+0.016X₂+0.261X₃-0.191X₄+0.41	0.7381	0.4428	21.32	0.6824	0.4393	17.49	2.242

Mathematical fitting of influencing factors and measured groundwater level: Take Keriya River Basin in Hetian area as an example

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 32

Related Articles 15

Metrics

Comments

Recommended 0

[1]	Caizhi SUN, Qifei MA, Liangshi ZHAO. Temporal and spatial evolution of green efficiency of water resources in China and its convergence analysis [J]. PROGRESS IN GEOGRAPHY, 2018, 37(7): 901-911.
[2]	Yunling LI, Xuning GUO, Dongyang GUO, Xiaohong Wang. An evaluation method of water resources carrying capacity and application [J]. PROGRESS IN GEOGRAPHY, 2017, 36(3): 342-349.
[3]	SANG Yanfang, WANG Zhonggen, LIU Changming. Applications of wavelet analysis to hydrology: Status and prospects [J]. PROGRESS IN GEOGRAPHY, 2013, 9(9): 1413-1422.
[4]	WANG Zhonggen, JI Peng, XIA Jun. Water System Integrated Modeling and Management Tool [J]. PROGRESS IN GEOGRAPHY, 2011, 30(3): 330-334.
[5]	ZHENG Jingyun, HE Fanneng, WU Wenxiang. Several Problems in the Study on Integrated Evaluation of Security Risks of China's Energy and Water Resources [J]. PROGRESS IN GEOGRAPHY, 2010, 29(9): 1027-1031.
[6]	ZHANG Xuexia, WU Peng, LIU Qiyong. Risk Assessment on Water Resource Utilization in the Songliao Basin by Spatial Cluster Analysis [J]. PROGRESS IN GEOGRAPHY, 2010, 29(9): 1032-1040.
[7]	BAO Chao, FANG Chuanglin. Impact of Water Resour ces Exploitation and Utilization on Eco- environment in Ar id Ar ea: Progr ess and Prospect [J]. PROGRESS IN GEOGRAPHY, 2008, 27(3): 38-46.
[8]	ZHANG Liping, CHEN Xiaofeng, ZHAO Zhipeng, HU Zhifang. Progr ess in Study of Climate Change Impacts on Hydrology and Water Resour ces [J]. PROGRESS IN GEOGRAPHY, 2008, 27(3): 60-67.
[9]	DENG Qun,XIA Jun,YANG Jun,SUN Yangbo,. Simulation of Water Policy for Beijing Based on CGE Model [J]. PROGRESS IN GEOGRAPHY, 2008, 27(3): 141-151.
[10]	LI Chunhui,YANG Zhifeng,ZHENG Xiaokang,PANG Aiping. Thr eshold Model of Water Resour ce Exploitation and Its Application in the Yellow River Basin [J]. PROGRESS IN GEOGRAPHY, 2008, 27(2): 39-46.
[11]	ZHANG Yongyong, XIA Jun,WANG zhonggen. Resear ch on Regional Water Resour ces Car rying Capacity Theory and Method [J]. PROGRESS IN GEOGRAPHY, 2007, 26(2): 126-132.
[12]	LI Zijun,ZHOU Peixiang,MAO Lihua. Gener al Review on Effects of Soil and Water Conservation Measur es on Water Resour ces in China [J]. PROGRESS IN GEOGRAPHY, 2006, 25(4): 49-57.
[13]	DU Hongru, LIU Yi. Progress on the Study of Oasis Cities in Arid Zone of China [J]. PROGRESS IN GEOGRAPHY, 2005, 24(2): 69-79.
[14]	JIA Shaofeng, ZHANG Shifeng. Water Resources Security Appraisement of Haihe Basin [J]. PROGRESS IN GEOGRAPHY, 2003, 22(4): 379-387.
[15]	JIA Shao feng, ZHANG Jun yan, ZHANG Shi feng . Regional Water Resources Stress and Water Resources Security Appraisement Indicators [J]. PROGRESS IN GEOGRAPHY, 2002, 21(6): 538-545.