List of articles (by subject) Hazard
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Open Access Article
1 - GIS-based support vector machine model in shallow landslide hazards prediction: A case study on Ilam dam watershed, Iran
Yaghoub Niazi Manuel E Mendoza Ali Talebi Hasti BidakiBackground and objective: The SVM algorithm is an applied method that has been considered in recent years to study landslides. The main purpose of this study is to evaluate the mapping power of the GIS-based SVM model with kernel functions analysis for spatial predictio MoreBackground and objective: The SVM algorithm is an applied method that has been considered in recent years to study landslides. The main purpose of this study is to evaluate the mapping power of the GIS-based SVM model with kernel functions analysis for spatial prediction of landslides at the Ilam dam watershed. Materials and methods: According to review sources, 14 underlying factors including elevation, slope, aspect, plan curvature, profile curvature, LS factor, TWI, SPI, Lithologic units, land cover, NDVI, road distance, distance to the drainage channel, distance to fault were selected as factors affecting the occurrence of landslides in the study area and the mentioned layers were prepared in the GIS. In the present study, the non-linear two-class SVM method was used, the two-class SVM requires both datasets representing the occurrence of landslides and non-occurrence of landslides. The landslide inventory was randomly divided into a training dataset of 75% for building the models and the remaining 25% for the validation of the models. Results and conclusion: The validation results showed that the area of the prediction-rate curve under the curve (AUC) for landslide susceptibility maps produced by the SVM linear function, SVM polynomial function, SVM radial basic function, and SVM sigmoid function are 0.946, 0.931, 0.912, and 0.871 respectively. To assess the influences of factors on the landslide susceptibility map were used the Cohen’s kappa index of the model. The result shows that the most effective factors are the distance to roads, distance to drainages, and plan curvature in this area. Manuscript profile -
Open Access Article
2 - Investigating temporal-spatial changes in the average temperature of the Abarku-Sirjan basin
Hamed Barzegari Amir Gandomkar Alireza AbbasiBackground and objective:Temporal-spatial changes in climate parameters, especially temperature, are considered one of the most obvious signs of climate change in a region. The aim of this study was to investigate the average temperature changes in the Abarku-Sirjan bas MoreBackground and objective:Temporal-spatial changes in climate parameters, especially temperature, are considered one of the most obvious signs of climate change in a region. The aim of this study was to investigate the average temperature changes in the Abarku-Sirjan basin.Materials and methods:In this regard, the daily analyzed data of ERA-Interim with a resolution of 0.25 * 0.25 degrees during the period 1979-2019 were used. According to the dimensions of the studied data, 338 points covered the whole basin. The trend of the studied data was examined using the Mann-Kendall test. Hot spots analysis was then performed on them.Results and conclusion:The results showed that the temperature has an increasing trend in most months of the year. In April, May, August, and December, some parts of the basin have no trend and the rest of the basin has an increasing trend. In general, no decreasing trend has occurred in any part of the basin during the study period. Hot spot analysis also showed that the northwest of the basin has cold spots and the south of the basin has hot spots. In general, in the basin, hot spots are more frequent in the warm months of the year and cold spots are more prevalent in cold months of the year. Manuscript profile -
Open Access Article
3 - Application of hierarchy-fuzzy analysis models and artificial neural networks in locating urban waste burial (Case Study: Lali city)
Fatemeh Amiri Ladan Khedri Gharibvand Asghar KhedrifarBackground and objective:Today, waste burial is the most common method in many countries due to its lower cost and acceptance of a wider range of waste. In locating the waste landfill, various parameters such as the needs of urban communities, government, and environmen MoreBackground and objective:Today, waste burial is the most common method in many countries due to its lower cost and acceptance of a wider range of waste. In locating the waste landfill, various parameters such as the needs of urban communities, government, and environmental laws, and a large number of quantitative and qualitative criteria are evaluated. For this purpose, several multi-criteria decision-making methods are used in prioritizing suitable places.Materials and methods:This study aims to investigate the suitable places to bury urban wastes in Lali city using a hierarchical-fuzzy analysis process (FAHP) along with a spatial information system and artificial neural network. For this purpose, data such as slope, slope direction, geology, land use, fault, precipitation, soil science, topography, vegetation, communication lines, hydrographic networks, wind, underground water level, and population centers as Information layers were used to locate the waste burial. After standardizing and preparing the maps, the steps related to the weighting of the desired layers were carried out to achieve the weight and importance of each in the positioning process. Then, pairwise comparisons were made between the indicators based on fuzzy numbers and using the FAHP technique.Results and conclusion:Considering all the effective factors in locating and weighting each of the criteria and sub-criteria and combining the data with GIS and artificial neural networks, the proposed areas for landfilling according to the direction of the prevailing winds in the region, in the southeast part of the range Studies were considered that the city has the least development in this direction. Whereas, the location of the current waste burial site is located in an inappropriate place in the north of the city and a tourist area. Manuscript profile