Document Type : پژوهشی
Authors
1 Ilam
2 Associate Prof, Soil Conservation and Watershed Management Research Institute (SCWMRI), Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran.
3 Assistant Prof., Research Division of Natural Resources, Ilam Agricultural and Natural ResourcesResearch Center (AREEO), Ilam, Iran. Email: mg_jafari@yahoo.com
4 Assistant Professor, Soil Conservation and Watershed Management Research Department, Agricultural Research and Training Center and Natural Resources of Isfahan Province, Agricultural Research, Education and Extension Organization (AREEO), Isfahan, Ir
Abstract
Sedimentation is one of the most important issues in the watershed. Due to the problems caused by sediment, it is necessary to investigate the relationship between hydrogeomorphic variables affecting sediment production and suspended sediment load in the watershed. The purpose of this study is to model the relationship between suspended sediment loads with hydrogeomorphic variables of the basin and to extract geomorphic features and their relationship with sedimentation in the watershed. By simple random method, two cows and conifers, which include 8 specific sub-basins and are equipped with hydrometric stations, were selected. Statistical multivariate regression method was used to analyze the relationship between geomorphic variables with sedimentation of each sub-basin. The results of the study of the relationship between geomorphic characteristics and sedimentation of sub-basins showed that the amount of sediment produced was positively correlated with slope index, roundness, drainage texture, rainfall, unevenness and basin area and was significant at the level of 0.001. In order to influence the variables on the sedimentation rate of the sub-basins, the principal component analysis and cluster analysis methods were used. The results showed that the three factors of roundness coefficient, slope coefficient and drainage texture coefficient of the basin explain 44.62, 25.22 and 16.74% of the variance of all research variables, respectively. In total, the three final extracted factors were able to explain 87% of the variance of all research variables.
Keywords
- Cluster analysis
- Multivariate regression
- Sediment rating curve
- Hydrogeomorphic
- Gavi and Kanjancham basins
- Ilam province
Main Subjects
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