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地下水抽取的空间量化在灌溉的印度河流域。

Spatial quantification of groundwater abstraction in the irrigated Indus basin.

机构信息

Department of Irrigation and Drainage, University of Agriculture, Fasialabad, Pakistan.

出版信息

Ground Water. 2014 Jan-Feb;52(1):25-36. doi: 10.1111/gwat.12027. Epub 2013 Feb 26.

DOI:10.1111/gwat.12027
PMID:23441997
Abstract

Groundwater abstraction and depletion were assessed at a 1-km resolution in the irrigated areas of the Indus Basin using remotely sensed evapotranspiration (ET) and precipitation; a process-based hydrological model and spatial information on canal water supplies. A calibrated Soil and Water Assessment Tool (SWAT) model was used to derive total annual irrigation applied in the irrigated areas of the basin during the year 2007. The SWAT model was parameterized by station corrected precipitation data (R) from the Tropical Rainfall Monitoring Mission, land use, soil type, and outlet locations. The model was calibrated using a new approach based on spatially distributed ET fields derived from different satellite sensors. The calibration results were satisfactory and strong improvements were obtained in the Nash-Sutcliffe criterion (0.52 to 0.93), bias (-17.3% to -0.4%), and the Pearson correlation coefficient (0.78 to 0.93). Satellite information on R and ET was then combined with model results of surface runoff, drainage, and percolation to derive groundwater abstraction and depletion at a nominal resolution of 1 km. It was estimated that in 2007, 68 km³ (262 mm) of groundwater was abstracted in the Indus Basin while 31 km³ (121 mm) was depleted. The mean error was 41 mm/year and 62 mm/year at 50% and 70% probability of exceedance, respectively. Pakistani and Indian Punjab and Haryana were the most vulnerable areas to groundwater depletion and strong measures are required to maintain aquifer sustainability.

摘要

利用遥感蒸散量 (ET) 和降水数据、基于过程的水文模型以及有关运河供水的空间信息,以 1 公里的分辨率评估了印度河流域灌溉区的地下水开采和枯竭情况。利用经过校准的土壤和水评估工具 (SWAT) 模型,得出了 2007 年流域灌溉区总灌溉用水量。SWAT 模型的参数化采用了热带降雨监测任务(TRMM)的台站修正降水数据(R)、土地利用、土壤类型和出水口位置。该模型采用了一种新的方法进行校准,该方法基于不同卫星传感器得出的分布式 ET 场。校准结果令人满意,纳什-萨克特准则(0.52 至 0.93)、偏差(-17.3%至-0.4%)和皮尔逊相关系数(0.78 至 0.93)都得到了显著提高。然后,将关于 R 和 ET 的卫星信息与模型的地表径流、排水和下渗结果相结合,以 1 公里的名义分辨率推求地下水开采和枯竭量。据估计,2007 年印度河流域开采了 68 立方公里(262 毫米)的地下水,消耗了 31 立方公里(121 毫米)的地下水。在 50%和 70%的概率超过情况下,平均误差分别为 41 毫米/年和 62 毫米/年。巴基斯坦和印度的旁遮普邦和哈里亚纳邦是地下水枯竭最脆弱的地区,需要采取强有力的措施来维持含水层的可持续性。

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