Spatiotemporal Analysis of Extracted Groundwater Volumes Estimated from Electricity Consumption

Hone Jay Chu, Cheng Wei Lin, Thomas J. Burbey, Muhammad Zeeshan Ali

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)962-972
Number of pages11
JournalGroundwater
Volume58
Issue number6
DOIs
Publication statusPublished - 2020 Nov 1

All Science Journal Classification (ASJC) codes

  • Water Science and Technology
  • Computers in Earth Sciences

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