4.7 Article

Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China

Journal

ENVIRONMENTAL MODELLING & SOFTWARE
Volume 134, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2020.104868

Keywords

Remote sensing; GIS; Fuzzy-AHP; Groundwater; Northern China

Funding

  1. National key R&D plan on strategic international scientific and technological innovation cooperation of special project [2016YFE0202300]
  2. National Natural Science Foundation of China [41890820, 41771452, 41771454]
  3. Natural Science Fund of Hubei Province in China [2018CFA007]
  4. Natural Science Foundation of Inner Mongolia Autonomous Region [2019MS04017]
  5. Scientific research project of colleges and universities in Inner Mongolia Autonomous Region [NJZY20277]
  6. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing Special Research Funding

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In Shanxi Province, China, groundwater is a major problem and exploration of groundwater potential zones (GWPZs) is a great necessity. This paper contributed to integrate RS-GIS to delineate GWPZ and applied Fuzzy-AHP method in a single platform. The main objective includes delineation GWPZs with RS and geoenvironmental factors using Fuzzy-AHP method. Fuzzy-AHP method was employed to calculate weight of factors. RS-GIS was used to create maps and discover groundwater availability. GWPZs were classified in five separate classes. Results indicated that 13.26%, 27.02%, 26.35%, 23.64%, and 9.71% area classified as very good, good, moderate, poor, and very poor GWPZs. The validated analytical results revealed 82.5%, 12.3%, 3.5%, and 1.7% existing water wells exhibited in very good, good, moderate, and poor/very poor GWPZs. This indicates Fuzzy-AHP model generated findings were in very good agreement with ground-truth data. This RS-GIS based Fuzzy-AHP method is proficient and efficient in identification and delineation of GWPZs.

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