[PDF][PDF] Assessing non-point source pollution models: a review.

JT Adu, MV Kumarasamy - Polish Journal of Environmental Studies, 2018 - pjoes.com
Although access to clean and potable water is a requirement for healthy living, the constant
release of non-point source pollutants into water bodies has resulted in water quality …

[HTML][HTML] Land use pattern optimization based on CLUE-S and SWAT models for agricultural non-point source pollution control

P Zhang, Y Liu, Y Pan, Z Yu - Mathematical and Computer Modelling, 2013 - Elsevier
Improper land use is one major cause of non-point source pollution. Integrated modeling
would support the evaluation and optimization of land use for the non-point source pollution …

Predicting Rainfall‐Induced Soil Erosion Based on a Hybridization of Adaptive Differential Evolution and Support Vector Machine Classification

TV Dinh, H Nguyen, XL Tran… - … Problems in Engineering, 2021 - Wiley Online Library
Soil erosion induced by rainfall is a critical problem in many regions in the world, particularly
in tropical areas where the annual rainfall amount often exceeds 2000 mm. Predicting soil …

Soil erosion in future scenario using CMIP5 models and earth observation datasets

S Maurya, PK Srivastava, A Yaduvanshi, A Anand… - Journal of …, 2021 - Elsevier
Rainfall and land use/land cover changes are significant factors that impact the soil erosion
processes. Therefore, the present study aims to investigate the impact of rainfall and land …

Modeling pesticide diuron loading from the San Joaquin watershed into the Sacramento-San Joaquin Delta using SWAT

H Chen, Y Luo, C Potter, PJ Moran, ML Grieneisen… - Water research, 2017 - Elsevier
Quantifying pesticide loading into the Sacramento-San Joaquin Delta of northern California
is critical for water quality management in the region, and potentially useful for biological …

Machine learning based soil erosion susceptibility prediction using social spider algorithm optimized multivariate adaptive regression spline

DT Vu, XL Tran, MT Cao, TC Tran, ND Hoang - Measurement, 2020 - Elsevier
This study proposes an advanced data-driven method which relies on the Multivariate
Adaptive Regression Splines (MARS) machine learning and Social Spider Algorithm (SSA) …

Temporal and spatial scaling effects of parameter sensitivity in relation to non-point source pollution simulation

L Chen, S Chen, S Li, Z Shen - Journal of Hydrology, 2019 - Elsevier
Scale represents an important concept in all scientific disciplines, but the scaling effect
related to non-point source (NPS) pollution simulation and sensitivity parameters has not yet …

Loss of topsoil and soil erosion by water in agricultural areas: A multi-criteria approach for various land use scenarios in the Western Carpathians using a SWAT …

W Halecki, E Kruk, M Ryczek - Land use policy, 2018 - Elsevier
Erosion by water is a major problem in agricultural areas, especially in mountainous zones.
In this context, the mass of detached soil clods is affected by surface run-off. In this paper …

[PDF][PDF] HYDROLOGICAL MODELING IN THE MANAS RIVER BASIN USING SOIL AND WATER ASSESSMENT TOOL DRIVEN BY CMADS.

X Meng, H Wang, X Lei, S Cai, H Wu, X Ji… - Tehnicki vjesnik …, 2017 - hrcak.srce.hr
Original scientific paper Hydrological simulation in meteorological ungauged areas has
always been a difficult problem for the study on atmospheric and hydrological coupling; …

Evaluation of runoff, peak flow and sediment yield for events simulated by the AnnAGNPS model in a Belgian agricultural watershed

DA Zema, RL Bingner, P Denisi… - Land Degradation & …, 2012 - Wiley Online Library
The AnnAGNPS model, widely utilized as a practical tool for addressing erosion problems
and land use planning, was implemented in a small agricultural watershed located in central …