Smart innovation, systems and technologies, Journal Year: 2025, Volume and Issue: unknown, P. 225 - 249
Published: Jan. 1, 2025
Language: Английский
Geoscience Frontiers, Journal Year: 2020, Volume and Issue: 12(2), P. 505 - 519
Published: Aug. 7, 2020
The identification of landslide-prone areas is an essential step in landslide hazard assessment and mitigation landslide-related losses. In this study, we applied two novel deep learning algorithms, the recurrent neural network (RNN) convolutional (CNN), for national-scale susceptibility mapping Iran. We prepared a dataset comprising 4069 historical locations 11 conditioning factors (altitude, slope degree, profile curvature, distance to river, aspect, plan road, fault, rainfall, geology land-sue) construct geospatial database divided data into training testing dataset. then developed RNN CNN algorithms generate maps Iran using calculated receiver operating characteristic (ROC) curve used area under (AUC) quantitative evaluation Better performance both phases was provided by algorithm (AUC = 0.88) than 0.85). Finally, each province found that 6% 14% land very highly susceptible future events, respectively, with highest Chaharmahal Bakhtiari Province (33.8%). About 31% cities are located high susceptibility. results present study will be useful development strategies.
Language: Английский
Citations
315
The Science of The Total Environment, Journal Year: 2019, Volume and Issue: 711, P. 135161 - 135161
Published: Nov. 21, 2019
Language: Английский
Citations
301
The Science of The Total Environment, Journal Year: 2019, Volume and Issue: 660, P. 443 - 458
Published: Jan. 4, 2019
Language: Английский
Citations
258
Journal of Cleaner Production, Journal Year: 2020, Volume and Issue: 272, P. 122807 - 122807
Published: July 11, 2020
Language: Английский
Citations
140
Geomatics Natural Hazards and Risk, Journal Year: 2020, Volume and Issue: 11(1), P. 2282 - 2314
Published: Jan. 1, 2020
Flooding is a natural disaster that causes considerable damage to different sectors and severely affects economic social activities. The city of Saqqez in Iran susceptible flooding due its specific environmental characteristics. Therefore, susceptibility vulnerability mapping are essential for comprehensive management reduce the harmful effects flooding. primary purpose this study combine Analytic Network Process (ANP) decision-making method statistical models Frequency Ratio (FR), Evidential Belief Function (EBF), Ordered Weight Average (OWA) flood City Kurdistan Province, Iran. frequency ratio was used instead expert opinions weight criteria ANP. ten factors influencing area slope, rainfall, slope length, topographic wetness index, aspect, altitude, curvature, distance from river, geology, land use/land cover. We identified 42 points area, 70% which modelling, remaining 30% validate models. Receiver Operating Characteristic (ROC) curve evaluate results. under obtained ROC indicates superior performance ANP EBF hybrid model (ANP-EBF) with 95.1% efficiency compared combination FR (ANP-FR) 91% OWA (ANP-OWA) 89.6% efficiency.
Language: Английский
Citations
126
Land Use Policy, Journal Year: 2020, Volume and Issue: 100, P. 104911 - 104911
Published: July 15, 2020
Language: Английский
Citations
111
Geocarto International, Journal Year: 2019, Volume and Issue: 36(20), P. 2345 - 2365
Published: Nov. 28, 2019
Floods are among the most frequently occurring natural disasters and costliest in terms of human life ecosystem disturbance. Identifying areas susceptible to flooding is important for developing appropriate watershed management policies. As such, goal present study was develop an integrated framework flood susceptibility assessment data-scarce regions, using data from Haraz Iran. Flood-influencing indices best suited identification particularly prone were selected. The decision-making trial evaluation laboratory (DEMATEL) approach used investigate interdependence criteria a network structure representative problem. relative importance different flood-influencing factors determined analytical process (ANP). A map produced weights obtained through ANP fuzzy-value function (FVF) validated 72 available locations where occurred between 2006 2018. After validating results, fuzzy theory served better delineate scores region's sub-watersheds. Incorporating DEMATEL-ANP with FVF yielded accuracy 89.1%, as assessed area under curve (AUC) receiver operating characteristics (ROC) curve. results indicated that strongest (occurrence/nonoccurrence) elevation, land use, soil texture, frequency heavy rainstorms. showed sub-watershed C1 be highly flooding, thus, need management.
Language: Английский
Citations
88
International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 104, P. 104344 - 104344
Published: March 4, 2024
Language: Английский
Citations
11
Sustainable Futures, Journal Year: 2025, Volume and Issue: unknown, P. 100485 - 100485
Published: Feb. 1, 2025
Language: Английский
Citations
1
Land, Journal Year: 2019, Volume and Issue: 8(6), P. 90 - 90
Published: June 3, 2019
Land evaluation is a process that aimed at the sustainable development of agricultural production in rural areas, especially developing countries. Therefore, land involves many aspects natural conditions, economic, and social issues. This research was conducted hilly region Central Vietnam to assess suitability potential use types are based on scientific local knowledge. In frame this research, Participatory Rural Appraisal (PRA); Analytical Hierarchy Analysis (AHP); Geographic Information System (GIS); and, scoring literature knowledge were applied for Multi-Criteria Decision (MCDA) evaluation. The results PRA survey reveal five plants offer great area, namely rice, cassava, acacia, banana, rubber. each plant type varies, depending physical conditions as well economic aspects. Acacia cassava represent most suitable area. Recommendations regarding planning A Luoi district brought forward results. combination assessment GIS technology, AHP, methods promising approach
Language: Английский
Citations
69