Simulation of rainfall-runoff process using an artificial neural network (ANN) and field plots data

Theoretical and Applied Climatology - Rainfall-runoff modeling is necessary for many hydrological studies, such as estimating peak discharges and designing hydraulic structures. The intensity and...     

A review of the application of the MUSLE model worldwide

Abstract

The sediment yield model of the MUSLE (modified universal soil loss equation) is applied extensively throughout the world, but different performances have been reported of its success relative to measured data. A review of all the available literature is presented to assess the application of the model under different conditions and, ultimately, make a comprehensive judgement on the different aspects to allow readers to adjust their further research. A review of 49 papers showed the variable accuracy of the model, which depends on the manner of calculation and determination of the input and output, and the study time and space scales. There were differences in land use, in correspondence of the physiographic characteristics with those of the original conditions of model development, and even in the experience of researchers in applying the model. The results also show the need to consider the original application of the model, as proposed by its developers, to achieve comparable results.

Editor Z.W. Kundzewicz

Citation Sadeghi, S.H.R., et al., 2014. A review of the application of the MUSLE model worldwide. Hydrological Sciences Journal, 59 (2), 365–375.     

Statistical Multivariate Analysis in the Assessment of River Water Quality in the Vicinity of KRS Dam, Karnataka, India

Surface water quality assessment is a basic and critical tool for informing sustainable management of water resources. The aim of this study is to evaluate the reservoir and river water quality of the Cauvery River in the vicinity of the Krishna Raja Sagar Dam, Karnataka, India. The results will assist water management in the study area for varied future demands including, irrigation, industries, and river conservation. Ecologically important parameters such as dissolved oxygen, chemical oxygen demand, biochemical oxygen demand, and physico-chemical parameters were analyzed. The results were compared with standard permissible limits. The differences in various parameters were statistically significant (P < 0.01) when comparing the upstream and downstream stretches of the river, particularly in summer. To identify a good technique for water quality assessment, all of the water quality parameters have been calculated by correlating various parameters and comparing them over two critical dry seasons. The dendrogram of the water-quality parameters clearly indicate that river water is safe for drinking, fishing, irrigation, and industrial purposes.