Abbas Alipour; Jaber Rahimi; Ali Azarnivand
Abstract
Groundwater resources play central role in meeting domestic and agricultural demands of residents in arid regions. Owing to rapid urbanization, water use and land use has changed considerably. Overexploitation of wells posed a huge burden on available water resources. Degradation of water resources along ...
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Groundwater resources play central role in meeting domestic and agricultural demands of residents in arid regions. Owing to rapid urbanization, water use and land use has changed considerably. Overexploitation of wells posed a huge burden on available water resources. Degradation of water resources along with an increase of salinity has adversely affected water resources. Hence, current paper focuses on determination of water quality of the wells of nine provinces of Iran which are influenced by water shortage. In this regard, WQI is a suitable index for analyisis and classification of data. To provide a holistic influence from individual water quality parameters on total water quality, water quality index (WQI) is employed. In other words, WQI is average weight of multiple parameters. Apart from WQI which has been used for drinking purposes, Wilcox has been used for agricultural water quality analysis. After identification of water quality conditions, sustainable settlement of population should be considered. Environmental planning and management, policy making, obtaining conclusive strategies and land use planning should be taken into account after providing water quality maps. Generation of water quality maps is an effective step for optimal operation of groundwater resources as well as for decision making. In present study, most of aquifers have been identified of low water quality (WQI=200-300).
Hamid Reza Moradi
Abstract
ABSTRACT Aim Of this research is landslide hazard zoning in Syahdare watershed using logistic regression. Therefore, outset landslide points recognized using air photography and extensive field studies. Then distribution of landslide map was makes. Then each effective element on landslide occurred for ...
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ABSTRACT Aim Of this research is landslide hazard zoning in Syahdare watershed using logistic regression. Therefore, outset landslide points recognized using air photography and extensive field studies. Then distribution of landslide map was makes. Then each effective element on landslide occurred for example slope, aspect, elevation, litho logy, land use, distance of road, distance of drainage, distance of fault and precipitation map makes in GIS environment. These data were saved in raster and vector format in GIS soft ware and they used for analysis with logistic regression. Logistic analysis obtained by Arc GIS 9.2 soft ware and SPSS. Results showed the most important elements in Land slide occurred in this area are slope, elevation, precipitation, distance of drainage and distance of fault respectively. Most of the land slides have occurred in the classes of 10 to 15 degree slope, elevation of 2350-2500 meters, precipitation (473-523 mm) are located. 50% Landslide is located at a distance of 30 meters of the stream. In this region the most landslides are occurrence in the 300 meter to fault distance. While the from 500 meter distance to the fault reduced number and susceptibility to landslides. The evaluation of accuracy model and the results obtained with three methods for the presence of all variables, 98.2 percent, 0.692 and 0.519 respectively. So showed that logistic regression had high accuracy in making landslide susceptibility map in study area.
