PREDICTING LAND-USE CHANGE AND ITS IMPACT ON THE GROUNDWATER SYSTEM OF THE GHARA-SU CATCHMENT, USING GIS AND ARTIFICIAL NEURAL NETWORK

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SALMAN MAHINI A.; RAHELI NAMIN B.

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Journal: Journal of RS and GIS for Natural Resources Year:2012 | Volume:3 | Issue:4 Page(s): 1-13

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Title

PREDICTING LAND-USE CHANGE AND ITS IMPACT ON THE GROUNDWATER SYSTEM OF THE GHARA-SU CATCHMENT, USING GIS AND ARTIFICIAL NEURAL NETWORK

Author(s)

SALMAN MAHINI A. | RAHELI NAMIN B. | Issue Writer Certificate

Keywords

FORECASTINGQ1

GROUNDWATER QUALITYQ2

LAND USEQ2

GEOGRAPHIC INFORMATION SYSTEMQ2

ARTIFICIAL NEURAL NETWORKQ2

GHARA-SUQ2

Abstract

Geographic information system (GIS) and ARTIFICIAL NEURAL NETWORK (ANN) modeling were used to investigate the effects of land cover change on GROUNDWATER QUALITY and to predict their condition for future. Input parameters for running ANN model included seven maps: distance from roads and built-up areas, density of population and cultivated land in the years 1995, 2002 and 2008, digital elevation model (DEM), soil and geology. The output parameter was the observed GROUNDWATER QUALITY in the sampled wells that included pH, SO4, NO3- and Fe. For NO3- and Fe the model was run with data from 2002, 2008 and their condition was predicted for 6 years of the future. About pH and SO4, the model was run with 1995 and 2008 data, and their condition was forecasted for 14 years of the future. This study reveals that the significant changes in the land cover due to the rapid growth of population have resulted in an extensive downgrading of GROUNDWATER QUALITY in GHARA-SU basin. Due to the intensive agricultural activities within the study area, ground water quality in the aquifer has been continuously degrading. Spatial distribution maps of various pollution parameters were prepared that demarcate the geographic distribution of water pollutants in a comprehensive manner and help in suggesting groundwater pollution control and remedial measures in a holistic way.

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APA: Copy

SALMAN MAHINI, A., & RAHELI NAMIN, B.. (2012). PREDICTING LAND-USE CHANGE AND ITS IMPACT ON THE GROUNDWATER SYSTEM OF THE GHARA-SU CATCHMENT, USING GIS AND ARTIFICIAL NEURAL NETWORK. JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), 3(4), 1-13. SID. https://sid.ir/paper/189631/en

Vancouver: Copy

SALMAN MAHINI A., RAHELI NAMIN B.. PREDICTING LAND-USE CHANGE AND ITS IMPACT ON THE GROUNDWATER SYSTEM OF THE GHARA-SU CATCHMENT, USING GIS AND ARTIFICIAL NEURAL NETWORK. JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE)[Internet]. 2012;3(4):1-13. Available from: https://sid.ir/paper/189631/en

IEEE: Copy

A. SALMAN MAHINI, and B. RAHELI NAMIN, “PREDICTING LAND-USE CHANGE AND ITS IMPACT ON THE GROUNDWATER SYSTEM OF THE GHARA-SU CATCHMENT, USING GIS AND ARTIFICIAL NEURAL NETWORK,” JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), vol. 3, no. 4, pp. 1–13, 2012, [Online]. Available: https://sid.ir/paper/189631/en

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