基于多源数据的科尔沁沙地陆地水及地下水储量变化研究

赵珍珍; 冯建迪

doi:10.13961/j.cnki.stbctb.2019.03.020

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基于多源数据的科尔沁沙地陆地水及地下水储量变化研究

试验研究

- 基于多源数据的科尔沁沙地陆地水及地下水储量变化研究
- Investigation of Water Storage Variation in Horqin Sandy Land Based on Multi-source Data
- 水土保持通报 2019年39卷第3期页码：119-125
- 作者机构：
  
  山东理工大学建筑工程学院,山东,淄博,255000
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目“基于多源数据且顾及异常现象的全球电离层TEC经验模型建立方法研究”（41804032）
- DOI：10.13961/j.cnki.stbctb.2019.03.020
  中图分类号： P333
- 纸质出版：2019
- 稿件说明：
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赵珍珍, 冯建迪. 基于多源数据的科尔沁沙地陆地水及地下水储量变化研究[J]. 水土保持通报, 2019,39(3):119-125.

Zhao Zhenzhen, Feng Jiandi. Investigation of Water Storage Variation in Horqin Sandy Land Based on Multi-source Data[J]. Bulletin of Soiland Water Conservation, 2019, 39(3): 119-125.
赵珍珍, 冯建迪. 基于多源数据的科尔沁沙地陆地水及地下水储量变化研究[J]. 水土保持通报, 2019,39(3):119-125. DOI： 10.13961/j.cnki.stbctb.2019.03.020.

Zhao Zhenzhen, Feng Jiandi. Investigation of Water Storage Variation in Horqin Sandy Land Based on Multi-source Data[J]. Bulletin of Soiland Water Conservation, 2019, 39(3): 119-125. DOI： 10.13961/j.cnki.stbctb.2019.03.020.

摘要

[目的]研究科尔沁沙地水储量变化对该区域的生态环境和经济建设等的影响，为当地水资源的保护和可持续利用提供参考。[方法]利用CSR （center for space research）提供的2003.07~2010.12 GRACE （gravity recovery and climate experiment） Release-05数据，采用去相关与高斯平滑滤波（平滑半径300 km）相结合的滤波方法，以及尺度因子法进行了重力信号改正和信号泄露恢复，反演了科尔沁沙地陆地水储量长时间序列的变化，该结果与CPC （climate prediction center）水文模型反演结果进行了对比分析；结合GLDAS （global land data assimilation system）水文模型计算的土壤含水量变化，给出了科尔沁沙地地下水储量的时空变化；并利用监测点水井数据和给水度信息对地下水反演结果进行了初步验证。[结果]2003年7月至2010年12月科尔沁沙地陆地水储量减少速率为-13.2±2.6 mm/a；地下水下降速率为-13.5±1.9 mm/a。[结论]干旱和农业灌溉是导致科尔沁沙地地表水减少和地下水位降低的重要原因之一。

Abstract

[Objective] The impact of water storage variation on the local ecological environment and economic construction in the Horqin sandy land was studied in order to provide reference for the protection and sustainable utilization of local water resources.[Methods] Using gravity recovery and climate experiment(GRACE) Release-05 data from July 2003 to December 2010 provided by center for space research(CSR)

the long-time series of terrestrial water reserves in Horqin sandy land were retrieved by using the filtering method combining the decorrelation filter with the Gauss smoothing filter (smooth radius 300) and the scaling factor method. The result was compared with the Climate Prediction Center(CPC) hydrological model inversion. Based on soil moisture content changes calculated by GLDAS hydrological model

the temporal and spatial variation of ground water storage was retrieved. This result was preliminarily verified by monitoring well data and feed water information.[Results] The reduction rates of terrestrial water storage and ground water storage were 13.2±2.6 and 13.5±1.9 mm/a

respectively from July 2003 to Decomber 2010.[Conclusion] Drought and agricultural irrigation are one of the important reasons leading to the decrease of surface water and groundwater level in Horqin sandy land.

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references

Dams J, Woldeamlak S T, Batelaan O. Predicting land-use change and its impact on the groundwater system of the Kleine Nete catchment, Belgium[J]. Hydrology and Earth System Sciences, 2008,12(6):1369-1385.

Moiwo J P, Yang Yonghui, Li Huilong, et al. Impact of water resource exploitation on the hydrology and water storage in Baiyangdian Lake[J]. Hydrological Processes, 2010,24(21):3026-3039.

Strassberg G. Evaluation of groundwater storage monitoring with the GRACE satellite:Case study of the High Plains aquifer, Central United States[J]. Water Resources Research, 2009,45(5):195-211.

Scanlon B R, Keese K E, Flint A L, et al. Global synthesis of groundwater recharge in semiarid and arid regions[J]. Hydrological Processes, 2010,20(15):3335-3370.

Zhao Zhenzhen, Lin Aiwen, Feng Jiandi, et al. Analysis of water resources in Horqin sandy land using multisource data from 2003 to 2010[J]. Sustainability, 2016,8(4):374.

Wada Y, van Beek L P H, van Kempen C M, et al. Global depletion of groundwater resources[J]. Geophysical Research Letters, 2010,37(20):114-122.

Syed T H, Famiglietti J S, Chen J, et al. Total basin discharge for the Amazon and Mississippi River basins from GRACE and a land-atmosphere water balance[J]. Geophysical Research Letters, 2005,32(24):348-362.

Freedman F R, Pitts K L, Bridger A F C. Evaluation of CMIP climate model hydrological output for the Mississippi River Basin using GRACE satellite observations[J]. Journal of Hydrology, 2014,519(D):3566-3577.

Bonsor H C, Mansour M M, Macdonald A M, et al. Interpretation of GRACE data of the Nile Basin using a groundwater recharge model[J]. Hydrology & Earth System Sciences Discussions, 2010(7):4501-4533.

Xavier L. Interannual variability in water storage over 2003-2008 in the Amazon Basin from GRACE space gravimetry, in situ river level and precipitation data[J]. Remote Sensing of Environment, 2010,114(8):1629-1637.

Chen Jinli, Wilson C R, Tapley B D. The 2009 exceptional Amazon flood and interannual terrestrial water storage change observed by GRACE[J]. Water Resources Research, 2010,46(12):439-445.

Frappart F, Ramillien G, Ronchail J. Changes in terrestrial water storage versus rainfall and discharges in the Amazon basin[J]. International Journal of Climatology, 2013,33(14):3029-3046.

Rodell M, Velicogna I, Famiglietti J S. Satellite-based estimates of groundwater depletion in India[J]. Nature, 2009,460(7258):999-1002.

Khan H H, Khan A, Ahmed S, et al. Terrestrial water dynamics in the lower Ganges-estimates from ENVISAT and GRACE[J]. Arabian Journal of Geosciences, 2012,6(10):3693-3702.

Feng Wei, Zhong Min, Lemoine J M, et al. Evaluation of groundwater depletion in North China using the gravity recovery and climate experiment (GRACE) data and ground-based measurements[J]. Water Resources Research, 2013,49(4):2110-2118.

许民, 叶柏生, 赵求东,等.利用GRACE重力卫星监测新疆天山山区水储量时空变化[J].干旱区研究,2013,30(3):404-411.

Moiwo J P, Yang Yonghui, Li Huilong, et al. Comparison of GRACE with in situ hydrological measurement data shows storage depletion in Hai River basin, Northern China[J]. Water SA, 2009,35(5):663-670.

袁伟,郭宗楼,吴军林,等.黑河流域水资源承载能力分析[J].生态学报,2006,26(7):2108-2114.

超能芳,王正涛,孙健.各向异性组合滤波法反演陆地水储量变化[J].测绘学报,2015,44(2):174-182.

Swenson S, Wahr J. Methods for inferring regional surface-mass anomalies from gravity recovery and climate experiment (GRACE) measurements of time-variable gravity[J]. Journal of Geophysical Research Solid Earth, 2002,107(B9):3-13.

Landerer F W, Swenson S C. Accuracy of scaled GRACE terrestrial water storage estimates[J]. Water Resources Research, 2012,48(4):4531-4541.

Scanlon B R, Longuevergne L, Long D. Ground referencing GRACE satellite estimates of groundwater storage changes in the California Central Valley, USA[J]. Water Resources Research, 2012,48(4):4520-4528.

Wada Y, van Beek L P H, van Kempen C M, et al. Global depletion of groundwater resources[J]. Geophysical Research Letters, 2010,37(20):114-122.

Swenson S, Wahr J. Post-processing removal of correlated errors in GRACE data[J]. Geophysical Research Letters, 2006,33(8):1-4.

Moiwo J P, Lu Wenxin, Tao Fulu. GRACE, GLDAS and measured groundwater data products show water storage loss in Western Jilin, China[J]. Water Science & Technology, 2012,65(9):1606-1614.

Gao Hui, Yang Song. A severe drought event in northern China in winter 2008-2009 and the possible influences of La Nina and Tibetan Plateau[J]. Journal of Geophysical Research Atmospheres, 2009,114(24):144-159.

张铜会,赵哈林,赵学勇,等.科尔沁沙地玉米耗水规律初探[J].中国沙漠,1999,19(S1):138-140.

周磊,刘景辉,郝国成,等.沙质土壤改良剂对科尔沁地区风沙土物理性质及玉米产量的影响[J].水土保持通报,2014,34(5):44-48.

黄志刚,肖烨,张国,等.气候变化背景下松嫩平原玉米灌溉需水量估算及预测[J].生态学报,2017,37(7):2368-2381.

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