Impact of temporal resolution of inputs on hydrological model performance: An analysis based on 2400 flood events
Hydro-climatic data at short time steps are considered essential to model the rainfall–runoff
relationship, especially for short-duration hydrological events, typically flash floods. Also …
relationship, especially for short-duration hydrological events, typically flash floods. Also …
Two calibration methods for modeling streamflow and suspended sediment with the swat model
TM Brighenti, NB Bonumá, F Grison… - Ecological …, 2019 - Elsevier
The proper estimation of streamflow (Q) and suspended sediment (SS) have important
implications for sustainable water management. The Soil and Water Assessment Tool …
implications for sustainable water management. The Soil and Water Assessment Tool …
[HTML][HTML] A comparative evaluation of the performance of CHIRPS and CFSR data for different climate zones using the SWAT model
The spatial and temporal scale of rainfall datasets is crucial in modeling hydrological
processes. Recently, open-access satellite precipitation products with improved resolution …
processes. Recently, open-access satellite precipitation products with improved resolution …
Hydro-climate and biogeochemical processes control watershed organic carbon inflows: Development of an in-stream organic carbon module coupled with a process …
Dissolved organic carbon (DOC) in surface waters directly influences the speciation,
transport, and fate of heavy metals, as well as the partitioning of organic contaminants …
transport, and fate of heavy metals, as well as the partitioning of organic contaminants …
A systematic assessment of watershed-scale nonpoint source pollution during rainfall-runoff events in the Miyun Reservoir watershed
J Qiu, Z Shen, G Wei, G Wang, H **e, G Lv - Environmental Science and …, 2018 - Springer
The assessment of peak flow rate, total runoff volume, and pollutant loads during rainfall
process are very important for the watershed management and the ecological restoration of …
process are very important for the watershed management and the ecological restoration of …
An adaptive hydrological model for multiple time-steps: Diagnostics and improvements based on fluxes consistency
A Ficchi - 2017 - theses.hal.science
This thesis aims at exploring the question of temporal scaling in lumped conceptual
hydrological modelling. The main objectives of the thesis are to:(i) study the effects of …
hydrological modelling. The main objectives of the thesis are to:(i) study the effects of …
Modelling the effects of water diversion and combined sewer overflow on urban inland river quality
X Gu, Z Liao, G Zhang, J **e, J Zhang - Environmental Science and …, 2017 - Springer
In order to assist and optimize the operation of a clean water diversion project for the
medium-sized inland rivers in Chaohu, China, an integrated hydrodynamic and water quality …
medium-sized inland rivers in Chaohu, China, an integrated hydrodynamic and water quality …
[HTML][HTML] A union of dynamic hydrological modeling and satellite remotely-sensed data for spatiotemporal assessment of sediment yields
(1) The existing frameworks for water quality modeling overlook the connection between
multiple dynamic factors affecting spatiotemporal sediment yields (SY). This study aimed to …
multiple dynamic factors affecting spatiotemporal sediment yields (SY). This study aimed to …
Comparing single and multi-objective hydrologic model calibration considering reservoir inflow and streamflow observations
J Bomhof, BA Tolson, N Kouwen - Canadian Water Resources …, 2019 - Taylor & Francis
Calibration techniques were investigated on how to best optimize a 149 parameter,
distributed hydrological model of the Lake of the Woods–Rainy Lake (LOWRL) watershed …
distributed hydrological model of the Lake of the Woods–Rainy Lake (LOWRL) watershed …
Cluster-based multi-objective optimization for identifying diverse design options: Application to water resources problems
In this study, a novel density-based spatial clustering method is developed to maintain a
diverse set of solutions for stochastic multi-objective optimization algorithms. This method …
diverse set of solutions for stochastic multi-objective optimization algorithms. This method …