نتایج جستجو برای: kasilian
تعداد نتایج: 36 فیلتر نتایج به سال:
Simulation of the runoff-rainfall process in forest lands is essential for land management. In this research, a hydrologic modelling system (HEC-HMS) and artificial neural network (ANN) were applied to simulate rainfall-runoff (RRP) Kasilian watershed with an area 68 square kilometres. The HMS model was performed using secondary data rainfall discharge at climatology hydrometric stations, Soil ...
Rainfall-runoff modeling and prediction of river discharge is one important parameter in flood control and management, hydraulic structure design, and drought management. The goal of this study is simulating the daily discharge in Kasilian watershed by using WetSpa model and adaptive neuro-fuzzy inference system (ANFIS). The WetSpa model is a distributed hydrological and physically based model,...
Rainfall runoff modeling and prediction of river discharge is one of the important practices in flood control and management, hydraulic structure design and drought management. The present article aims to simulate daily streamflow in Kasilian watershed using an artificial neural network (ANN) and neuro-fuzzy inference system (ANFIS). The intelligent methods have the high potential for dete...
The land use change is one of the major challenges of the human communities in this century and even more its impacts are than the climate change phenomenon. Land use change influences run-off as well as the other hydrologic factors such as interception, infiltration and the flood intensity. This study is aimed to investigate the impact of last 30 years of land use changes on hydrological behav...
The appropriate use of a conceptual rainfall-runoff model depends on how well its parameters are calibrated. Generally, rainfall-runoff models deal with numerous parameters that cannot be measured directly and should be estimated through optimization tools. The purpose of the optimization approach is to finalize the best set of parameters associated with a given calibration data set that optimi...
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...
this research was carried out based on systematic analysis approach for evaluation of ecological resources capability of kasilian representative catchment for agricultural land use. the study area is located in southern of mazandaran province. in this study we used topography digital data, paper maps, climatology data, satellite images and gis, database and spreadsheet software. the process of ...
As the first event in soil erosion, rain splash erosion causes movement of soil fragments. Splash is an important process in interrill erosion. The amount of soil particles detached from the surface is associated with soil and rain characteristics and may be affected by rainfall erosivity and soil erodibility. Therefore, in this study, splash erosion rate and its relation with some soil propert...
Extended abstract 1- Introduction Climate, terrain condition, vegetation coverage, parent materials, and time are among the factors that affect the soil formation and contribute to such soil properties as porosity, apparent and actual specific gravities, and clay and carbonate contents. The forest soils have been consistently regarded for their high content of organic matter and suitable stru...
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