A review of non-point source water pollution modeling for the urban–rural transitional areas of China: Research status and prospect

J Xue, Q Wang, M Zhang - Science of the Total Environment, 2022‏ - Elsevier
China has experienced a rapid period of urbanization since the 1980s. Many traditional
agricultural areas were transformed into the urban-rural transitional areas, in which both …

A decade of Predictions in Ungauged Basins (PUB)—a review

M Hrachowitz, HHG Savenije, G Blöschl… - Hydrological sciences …, 2013‏ - Taylor & Francis
Abstract The Prediction in Ungauged Basins (PUB) initiative of the International Association
of Hydrological Sciences (IAHS), launched in 2003 and concluded by the PUB Symposium …

[HTML][HTML] Improving streamflow prediction in the WRF-Hydro model with LSTM networks

K Cho, Y Kim - Journal of Hydrology, 2022‏ - Elsevier
Researchers have attempted to use machine learning algorithms to replace physically
based models for streamflow prediction. Although existing studies have contributed to …

SWAT: Model use, calibration, and validation

JG Arnold, DN Moriasi, PW Gassman… - Transactions of the …, 2012‏ - elibrary.asabe.org
SWAT (Soil and Water Assessment Tool) is a comprehensive, semi-distributed river basin
model that requires a large number of input parameters, which complicates model …

Characterising performance of environmental models

ND Bennett, BFW Croke, G Guariso… - … modelling & software, 2013‏ - Elsevier
In order to use environmental models effectively for management and decision-making, it is
vital to establish an appropriate level of confidence in their performance. This paper reviews …

Performance evaluation of hydrological models: Statistical significance for reducing subjectivity in goodness-of-fit assessments

A Ritter, R Muñoz-Carpena - Journal of Hydrology, 2013‏ - Elsevier
Success in the use of computer models for simulating environmental variables and
processes requires objective model calibration and verification procedures. Several …

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

HV Gupta, H Kling, KK Yilmaz, GF Martinez - Journal of hydrology, 2009‏ - Elsevier
The mean squared error (MSE) and the related normalization, the Nash–Sutcliffe efficiency
(NSE), are the two criteria most widely used for calibration and evaluation of hydrological …

[ספר][B] Rainfall-runoff modelling: the primer

KJ Beven - 2012‏ - books.google.com
Rainfall-Runoff Modelling: The Primer, Second Edition is the follow-up of this popular and
authoritative text, first published in 2001. The book provides both a primer for the novice and …

Model evaluation guidelines for systematic quantification of accuracy in watershed simulations

DN Moriasi, JG Arnold, MW Van Liew… - Transactions of the …, 2007‏ - elibrary.asabe.org
Watershed models are powerful tools for simulating the effect of watershed processes and
management on soil and water resources. However, no comprehensive guidance is …

Comparison of different efficiency criteria for hydrological model assessment

P Krause, DP Boyle, F Bäse - Advances in geosciences, 2005‏ - adgeo.copernicus.org
The evaluation of hydrologic model behaviour and performance is commonly made and
reported through comparisons of simulated and observed variables. Frequently …