estimate potential sediment yield in shadegan catchment with using of irifer and hierarchical models

نویسندگان

علیرضا حبیبی

پژوهشکده آبخیزداری

چکیده

soil erosion is a major problem for developing countries with arid and semi-arid climate. these of erosion is possible than two ways of water and wind. in this paper, with using of two methods irifer and hierarchical models, the rate and intensity of of soil erosion is estimated shadegan catchment. for this purpose, by using various maps alike dem, rainfall, land use index, ndvi, geology estimated rate and intensity of soil erosion in gis. then final map erosion estimation obtained from two methods were classified into five groups, very high ,high, medium, low, very low , results showed that about 12.2% of the watershed area of erosion is high and very high. and average soil erosion in the catchment area of 2143.8 ton / hectare / year. in this catchment viewpoint erosion is crisis conditions and very severe. according to correlation 0.96 was calculated regression equation in this research showed that ahp methods combined with use of gis procedures and tools for estimating, display and classification is rate soil erosion however in this respect also can be used recent methods.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using a special empirical model to estimate sediment yield of Koohbord dam watershed in Kohgilouyeh County

Extended abstract Koohbord dam watershed with a total area of 38.29 square kilometers in Kohgiluyeh and Boyerahmad province is one of the watersheds without sedimentation data, which requires the use of empirical models to estimate the sediment for estimating sediment, so the results obtained through data is the basis of the management plans of dam watershed. In this research, using base maps ...

متن کامل

Estimating of erosion and sediment yield of Gorganrud basin using erosin potential method

Soil erosion can be considered as one of the most important obstacles in the way of sustainable development of agriculture and natural resources. The aim of this study is to estimate erosion and sediment yield of basin using Erosion Potential Method, in Gorganrud basin, north of Iran. The main factors in the EPM (slope average percent, erosion, rock and soil resistance, and land-use) were evalu...

متن کامل

effect of seed priming and irrigation regimes on yield,yield components and quality of safflowers cultivars

این مطالعه در سال 1386-87 در آزمایشگاه و مزرعه پژوهشی دانشگاه صنعتی اصفهان به منظور تعیین مناسب ترین تیمار بذری و ارزیابی اثر پرایمینگ بر روی سه رقم گلرنگ تحت سه رژیم آبیاری انجام گرفت. برخی از مطالعات اثرات سودمند پرایمینگ بذر را بر روی گیاهان مختلف بررسی کرده اند اما در حال حاضر اطلاعات کمی در مورد خصوصیات مربوط به جوانه زنی، مراحل نموی، عملکرد و خصوصیات کمی و کیفی بذور تیمار شده ژنوتیپ های م...

Compare the MPSIAC and EPM Models for Estimating Erosion and Sediment in poorahmadi catchment

to estimating erosion and sediment in the Poorahmadi watershed basin, MPSIAC and EPM models was used and compared.  Part of Required data about natural characteristics of studing watershed basin provided from comprehensive studies of Watershed Basin and the other part prepared through digital image processing and preparing required maps  using RS and GIS joint capabilities.  With calculating th...

متن کامل

Estimation of erosin and sediment yield with EPM model in Zemkan basin using GIS

The goal of this study is determination of erosion rate and sediment production and exploring sensitive areas of erosion in Zemkan basin, located in the West of Kermanshah Province.To achieve these objectives, the erosion potential method (EPM) was used.Geographical information system also was used to reduce the errors and increase the relative accuracy in the analysis of the model. Required da...

متن کامل

Applying Artificial Neural Network Algorithms to Estimate Suspended Sediment Load (Case Study: Kasilian Catchment, Iran)

Estimate of sediment load is required in a wide spectrum of water resources engineering problems. The nonlinear nature of suspended sediment load series necessitates the utilization of nonlinear methods to simulate the suspended sediment load. In this study Artificial Neural Networks (ANNs) are employed to estimate daily suspended sediment load. Two different ANN algorithms, Multi Layer Perce...

متن کامل

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023