Land subsidence caused by groundwater overexploitation is a serious global problem. The acquisition of spatiotemporal pumping rates and volumes is a first step for water managers to develop a strategic plan for mitigating land subsidence. This study investigates an empirical formulation to estimate the monthly maximum pumped volume over a 10‐year period based on electric power consumption data. A spatiotemporal variability analysis of monthly pumped volume is developed to provide an improved understanding of seasonal pumping patterns and the role of irrigation type. The analysis of regional pumped volume provides an approximation of the spatiotemporal patterns of the variations in pumped volume. Results show the effects of climate, seasonal changes in pumping from irrigation, and the local differences in pumping caused to crop types. A seasonal pumped volume peak occurs annually, with the highest and least pumped volumes occurring in March (highest peak) and September (lowest peak), respectively. However, the majority of the historical maximum pumped volumes have occurred during the last few years. Extracted volumes continue to increase in some locations. The analysis reveals increasing trends in pumping, thereby possibly providing the locations where increased effective stresses may lead to land subsidence.

中文翻译：

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根据耗电量估算的抽取地下水量的时空分析。

地下水过度开采引起的地面沉降是一个严重的全球性问题。时空抽水率和水量的获得是水管理者制定缓解土地沉降战略计划的第一步。这项研究调查了一个经验公式，根据电力消耗数据估算了十年内的每月最大抽水量。进行了每月抽水量的时空变化分析，以更好地了解季节性抽水方式和灌溉类型的作用。区域抽水量的分​​析提供了抽水量变化的时空模式的近似值。结果显示了气候的影响，灌溉抽水的季节性变化以及作物类型造成的抽水局部差异。季节性抽水量高峰每年发生一次，最高和最小抽水量分别发生在3月（最高峰）和9月（最低峰）。但是，历史上最大的抽水量大多数发生在最近几年。在某些位置提取量继续增加。分析表明抽水趋势不断增加，从而可能提供有效应力增加可能导致地面沉降的位置。