نتایج جستجو برای: monthly flow prediction
تعداد نتایج: 754787 فیلتر نتایج به سال:
Fine particulate matter (PM2.5) affects climate change and human health. Therefore, the prediction of PM2.5 level is particularly important for regulatory planning. The main objective study to predict concentration employing an artificial neural network (ANN). annual in Liaocheng from 2014 2021 shows a gradual decreasing trend. air quality during lockdown after periods 2020 was obviously improv...
Suitable stable channel design and optimization of river geometry can reduce cost of projects. The regime theory provides the possibility of empirical and semi-empirical investigations of stable channel design in which erosion and sediment transport are in equilibrium. The objective of this research is an investigation and a comparison of the influence of uniform and non-uniform flows on the pr...
Estimating and predicting precipitation and achieving its runoff play an important role to correct management and exploitation of basins, management of dams and reservoirs, minimizing the flood damages and droughts, and water resource management, so they are considered by hydrologists. The appropriate performance of intelligent models leads researchers to use them for predicting hydrological ph...
High-precision monthly runoff prediction results are of great significance to regional water resource management. However, with the changes in human activity, climate, and underlying surface conditions, sequence presents highly nonlinear random characteristics. In order improve accuracy prediction, this study proposed a model based on fuzzy information granulation (FIG) back propagation neural ...
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