Spatial Simulation and Land-subsidence Susceptibility Mapping Using Maximum Entropy Model

Abdollahi, Sahar; Pourghasemi, Hamid Reza; Ghanbarian, Gholam Abbas; Safaeian, Roja

doi:10.29252/jwmr.10.20.133

Volume 10, Issue 20 (12-2019) J Watershed Manage Res 2019, 10(20): 133-144 | Back to browse issues page

‎ 10.29252/jwmr.10.20.133

‎ 20.1001.1.22516174.1398.10.20.12.7

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Abdollahi S, Pourghasemi H R, Ghanbarian G A, Safaeian R. (2019). Spatial Simulation and Land-subsidence Susceptibility Mapping Using Maximum Entropy Model. J Watershed Manage Res. 10(20), 133-144. doi:10.29252/jwmr.10.20.133
URL: http://jwmr.sanru.ac.ir/article-1-924-en.html

Spatial Simulation and Land-subsidence Susceptibility Mapping Using Maximum Entropy Model

Sahar Abdollahi¹, Hamid Reza Pourghasemi ^*¹, Gholam Abbas Ghanbarian¹, Roja Safaeian¹

1- Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University

Abstract: (3390 Views)

The aim of this research is spatial Simulation and land subsidence susceptibility mapping using maximum entropy model in Jiroft and Anbarabad Townships. At first, land subsidence locations were recognized using extensive field surveys and subsequently the land subsidence distribution map was made in the geographic information system. Then, each of effective factors on land subsidence occurred in study area such as: percent slope, aspect direction, altitude classes, profile curvature, plan curvature, topographic wetness index (TWI), distance of drainage, litology units, pizometric data, land use, and normalized difference vegetation index (NDVI) digitized in GIS environment. Then, using frequency ratio (FR) method, the weight of the classess of each factor and was determined. Finally, land subsidence susceptibility map in the study area was prepared using the model maximum entropy. The results of validation of model using 30% of the unused points in the modeling process and according receiver operating characteristic (ROC) showed that the map of land subsidence susceptibility obtained from the maximum entropy had the high accuracy of ARC value of 0.859 (85.9%). Therefore, the zoning map can play a significant role in water resource management and identification of critical areas according to extracting groundwater table in the study area.

Keywords: Frequency ratio, GIS, Land subsidence, Maximum entropy

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Type of Study: Research | Subject: بلايای طبيعی (سيل، خشکسالی و حرکت های توده ای)
Received: 2018/02/6 | Accepted: 2018/08/27