Performance comparison of land change modeling techniques for land use projection of arid watersheds
Publish Year: 1397
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_GJESM-4-3_002
تاریخ نمایه سازی: 27 مرداد 1397
Abstract:
The change of land use/land cover has been known as an imperative force in environmental alteration, especially in arid and semi-arid areas. This research was mainly aimed to assess the validity of two major types of land change modeling techniques via a three dimensional approach in Birjand urban watershed located in an arid climatic region of Iran. Thus, a Markovian approach based on two suitability and transition potential mappers, i.e. fuzzy analytic hierarchy process and artificial neural network-multi layer perceptron was used to simulate land use map. Validation metrics, quantity disagreement, allocation disagreement and figure of merit in a three-dimensional space were used to perform model validation. Utilizing the fuzzy-analytic hierarchy process simulation of total landscape in the target point 2015, quantity error, the figure of merit and allocation error were 2%, 18.5% and 8%, respectively. However, Artificial neural network-multi layer perceptron simulation led to a marginal improvement in figure of merit, i.e.3.25%.
Keywords:
Artificial neural network-multi layer perceptron (ANN-MLP) , CA-Markov , Fuzzy-analytic hierarchy process (Fuzzy-AHP) , Land use change , Simulation
Authors
S.M Tajbakhsh
Department of Watershed Management, Faculty of Natural Resources and Environment, University of Birjand, Birjand, Iran
H Memarian
Department of Watershed Management, Faculty of Natural Resources and Environment, University of Birjand, Birjand, Iran
K Moradi
Department of Watershed Management, Faculty of Natural Resources and Environment, University of Birjand, Birjand, Iran
A.H Aghakhani Afshar
Department of Water Engineering, Faculty of Civil Engineering, University of Tabriz, Tabriz, Iran