GIS&RS
Jafar Jafarzadeh; Hashem Rostamzadeh; Mohammadreza Nikjoo; Esmaeil Asadi
Abstract
The study of changes in water resources in each region is essential to manage water resources and using them. In this study, the goal is to evaluate the available water resources in the plain of Ardebil in terms of surface and subsurface resources based on four criteria including natural, hydrological, ...
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The study of changes in water resources in each region is essential to manage water resources and using them. In this study, the goal is to evaluate the available water resources in the plain of Ardebil in terms of surface and subsurface resources based on four criteria including natural, hydrological, agricultural and humanitarian by using fuzzy network analysis. In order to assess better fuzzy network analysis evaluation, sub-criteria of population, industry condition, rainfall situation, the status of surface water (volume taken from the river) and groundwater (wells, springs and aqueducts status), the area under cultivation and the type of products in terms of water demand, slope and elevation are used. Dependencies among sub-criteria using DEMATEL fuzzy technique and according to experts are determined. Using the fuzzy network analysis all criteria and sub- criteria are weighed, and the maps for all sub-criteria, are generated in according to the weight obtained. Finally, the result map that is based on initial layers and weighted based on the fuzzy techniques is generated in GIS. The resulting map is identified the sensitivity of the study area in terms of potential water resources. The study area (Ardebil plain) is located in the northwest of Iran and is delimited by latitudes 38°05′ N and 38° 30′N and longitudes 48°15′ E and 48° 35′E. The average height is about 1360 meters from the sea level. It covers an area of about 820 km2 and is part of Qara Soo river basin. The low risk areas 11.13 % equivalent to 9200 hectares are located on the northern and a bit in west of the plain. The average risk areas 19.36 % equivalent to 15870 hectares are located in the north and west of plain. The high risk areas 21.3 % equivalent to 17510 hectares are located mostly in the central and upper parts of the plain. The vulnerable risk areas 31.9 % equivalent to 26220 hectares are located in the southern and central parts of the plain and finally the critical areas 16.1 % equivalent to 13250 hectares are scattered mostly in the south and east of the study area.
Climatology
mohammad ali goorbani; surur poorbabak; hosein Jabari; esmaeil asadi; mohammad hasan fazelifard
Abstract
Abstract Classification of Meteorological stations, causing a large volume of data to be allocated a smaller homogeneous groups, Ease of use in modeling and also can help to spread the information to point to the lack of regional data to Statistics regional statistic. Meteorological stations in ...
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Abstract Classification of Meteorological stations, causing a large volume of data to be allocated a smaller homogeneous groups, Ease of use in modeling and also can help to spread the information to point to the lack of regional data to Statistics regional statistic. Meteorological stations in the region has a crucial role in the management and effective use of information. In this study, 112 stations were analyzed in order to classify regions with fuzzy cluster analysis and Kohonen artificial neural Networks. Four parameters, namely mean annual temperature, longitude, latitude and elevation are considered as the classification criteria for grouping to obtain the optimal number of groups the lowest value of Davies- Bouldin index were used. Demarton climatic zonation was performed to evaluate the spatial distribution of clusters obtained from various methods. The results showed that the fuzzy clustering technique with the Demarton climatic zones is more consistent.
