The evaluation of hydrologic model behaviour and performance is commonly made and reported through comparisons of simulated and observed variables. Frequently, comparisons are made between simulated and measured streamflow at the catchment outlet. In distributed hydrological modelling approaches, additional comparisons of simulated and observed measurements for multi-response validation may be ...

Streamflow (Q) estimation in ungauged catchments is perhaps the most fundamental challenge faced by hydrologists. A promising approach to calibrate hydrological models in ungauged catchments is to use estimated Q characteristics to identify acceptable model parameter sets. This study is the first to test this approach at the global scale using a large, heterogeneous catchment set. First, observ...

1. The surface water/groundwater (SW/GW) interface is a crucial control point for lateral nutrient ̄uxes between uplands and aquatic ecosystems and for upstream/ downstream (longitudinal) processes in lotic ecosystems. 2. Hydrological and biogeochemical dynamics of the SW/GW ecotone are linked to the degree of channel constraint and the sediment characteristics of the ̄oodplain and stream bed. 3....

Conceptual mathematical models are a useful tool for rainfallrunoff modelling of a basin. The calibration of such models has attracted the attention of a number of hydrologists since unique and optimal parameters are difficult to obtain. The calibration of a conceptual model is discussed through a simple conceptual model whose parameters are determined using a search technique. It is shown that...

Abstract This paper presents an application of the L-moments and L-moment ratio diagrams (LMRD) to analysis hydrological data at regional (country) scale. Existing research focuses on two main areas analysis: statistical using LMRD regression analysis. Further mixes both approaches applying L-moments. Another direction is clustering climatic physiographic catchment properties its validation LMR...

River sedimentation is an important indicator for ecological and geomorphological assessments of soil erosion within any watershed region. Sediment transport in a river basin therefore multifaceted field yet being dynamic task nature. It characterized by high stochasticity, non-linearity, non-stationarity, feature redundancy. Various artificial intelligence (AI) modeling frameworks have been in...

Abstract. The two-parameter recursive digital filter method (Eckhardt) and the conductivity mass balance (CMB) are two widely used baseflow separation methods favored by hydrologists. Some divergences in application of these have emerged recent years. scholars believe that deviation results is due to uncertainty parameters Eckhardt should be corrected reference CMB method. However, other attrib...

Sustainable management of water supplies faces a comprehensive challenge due to global climate change. Improving forecasts streamflow based on erratic precipitation is significant activity nowadays. In recent years, the techniques data-driven have been widely used in hydrological parameter’s prediction especially streamflow. current research, deep learning model namely Long Short-Term Memory (L...

The complex nonlinear and non-stationary features exhibited in hydrologic sequences make hydrological analysis forecasting difficult. Currently, some hydrologists employ the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) method, a new time-frequency method based on (EMD) algorithm, to decompose raw data order obtain relatively stationary components for further stud...

This study developed an efficient discharge measurement method that can be applied to estimate the streamflow of natural streams and artificial channels. The conventional methods apply current meters measure are costly, time-consuming, labor-intensive. Owing a shortage observers in for safety hydrologists with advances techniques, many have strongly suggested use non-contact when determining st...