Kourosh Shirani; Reza Naderi Samani
Abstract
The aim of this study is to prioritize effective factors, landslide susceptibility zonation assessment using maximum entropy (MaxEnt) and dempster shafer models in Doab Samsami watershed of Chaharmahal and Bakhtiari province. For this purpose, 15 factor maps affecting landslide occurrence as independent ...
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The aim of this study is to prioritize effective factors, landslide susceptibility zonation assessment using maximum entropy (MaxEnt) and dempster shafer models in Doab Samsami watershed of Chaharmahal and Bakhtiari province. For this purpose, 15 factor maps affecting landslide occurrence as independent variables and landslide distribution map as a dependent variable were prepared and weighted using frequency ratio index (FR) and landslide distribution map in the environment ArcGIS® 10.8 . In order to implementation and validation of models, landslide distribution data were randomly divided into two categories of training and test data in the proportion of 70 and 30%, respectively. Maximum Entropy (MAXENT) and Dempster Shaffer models are performed and landslide susceptibility zonation maps are prepared and each model is divided into five very low to very high. In order to evaluate the classification accuracy and validation of the models, the frequency ratio and seed cell area index (FR&SCAI) and the area under receiver characteristic curve (AUC-ROC) were used, respectively. According to the results of the maximum entropy model, annual precipitation factors, lithology, distance to road and drainage land use are important in landslide occurrence, respectively. According to landslide susceptibility zonation maps in both models, more than 50% of landslides occurred in high and very high susceptibility categories. Finally, the validation results of the models showed that the Demester shafer model with AUC-ROC index of 0.95 and classification accuracy with higher FR & SCAI index, greater efficiency and desirability for zoning, modeling and landslide prediction in the study area.
Mohammad Reza Ekhtesasi; mohammad sefid; Ali Morovati Sharif Abadi
Abstract
Zonation of quality of drinking water sources is necessary for Water Management in Arid and Hyper Arid areas. In this research, spatial variations of quality characteristics of water (EC, Na, K, Mg, Ca, NO3, SO4, Alkalinity, Cl, TH and TDS were investigated in one-year period (2015-2016) based on the ...
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Zonation of quality of drinking water sources is necessary for Water Management in Arid and Hyper Arid areas. In this research, spatial variations of quality characteristics of water (EC, Na, K, Mg, Ca, NO3, SO4, Alkalinity, Cl, TH and TDS were investigated in one-year period (2015-2016) based on the data collected from 55 drinking deep wells of Yazd Plain. In order to evaluate and select the best method of interpolation was used Simple kriging, Ordinary kriging and Inverse Distance Weighted and RMSE. Zoning maps showed that groundwater of Charkhab and Yazdgerd respectively are in the Southeast and Northwest of study area, which are affected by flow of the Mehriz and Taft river, that are higher quality than the middle part of study area.The changes in the main indicators of quality such as TDS are from less than 500 to more than 2500 mg/lit and EC from less than 700 to more than 3,500 micromhos/cm that this achievement reflects the need for utilization management and preparation of drinking water with best quality to enter the network. Also the wells in the center of study area such as 16 Silo, 12 Dehno, 13 Dehno and 24 Dehno in terms of quality parameters such as TDS, TH, EC and Cl have more than double the national standard limit, that is recommended to remove them or adjustment operation of wells in drinking water network.
Payam Ebrahimi; mehdi Eslah; Maryam Azarakhshi
Abstract
One kind of the mass wasting which takes much toll and leaves much damage in the world and many locations in Iran is landslide. Landslide susceptibility mapping allows recognizing susceptible areas to be considered in environmental programs. Present research is aimed at Landslide susceptibility mapping ...
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One kind of the mass wasting which takes much toll and leaves much damage in the world and many locations in Iran is landslide. Landslide susceptibility mapping allows recognizing susceptible areas to be considered in environmental programs. Present research is aimed at Landslide susceptibility mapping in Hafshejan watershed in Chaharmahal-o-Bakhtiari province using Spatial Multi Criteria Evaluation (SMCE) method via geographic information system (GIS) and ILWIS software and AHP technic. Therefore, regarding the sites where landslides occurred, comparative studies, and the findings of other scholars, eight informational layers were identified for this research. Then, the tree of factors and restrictions was designed in ILWIS software. All layers were standardized and were evaluated and weighted applying AHP model. Last but not least, upshot model and landslide hazard zonation map were prepared and presented for the relevant study area. It was found out that from among effective factors, distance from road, distance from fault and distance from stream of 0.4047, 0.2239 and 0.1302 weight respectively are the most important factors triggering landslide in study area. According to the presented model, about 1.32 percent of watershed area (1013900 square meters) is extremely high risk and 9 percent (6909800 square meters) is high risk. The results of accuracy evaluation of the presented model are indicative of ascendantal trend of landslide index from very low hazard zone to very high hazard zone and they are indicative of sufficient precision of this model.
