Literature DB >> 30884273

A review of pesticide fate and transport simulation at watershed level using SWAT: Current status and research concerns.

Ruoyu Wang1, Yongping Yuan2, Haw Yen3, Michael Grieneisen1, Jeffrey Arnold3, Dan Wang4, Chaozi Wang5, Minghua Zhang6.   

Abstract

The application of pesticides in agriculture is a widely-used way to alleviate pest stresses. However, it also introduces various environmental concerns due to the offsite movement of pesticide residues towards receiving water bodies. While the application of process-based modeling approaches can provide quantitative information on pesticide exposure, there are nonetheless growing requirements for model development and improvement to better represent various hydrological and physico-chemical conditions at watershed scale, and for better model integration to address environmental, ecological and economic concerns. The Soil and Water Assessment Tool (SWAT) is an ecohydrological model used in over 3000 published studies, including about 50 for simulating pesticide fate and transport at the watershed scale. To better understand its strengths and limitations, we conducted a rigorous review of published studies that have used SWAT for pesticide modeling. This review provides recommendations for improving the interior algorithms (fate simulation, pathway representation, transport/pollution control, and other hydrological related improvement) to better represent natural conditions, and for further extension of pesticide exposure modeling using SWAT by linking it with other models or management tools to effectively address the various concerns of environmental researchers and local decision makers. Going beyond past studies, we also recommend future improvement to fill research gaps in developing modularized field level simulation, improved BMPs, new in-pond and in-stream modules, and the incorporation of soft data. Our review pointed out a new insight of pesticide fate and transport modeling at watershed level, which should be seen as steps leading to the direction for model development, as well as better addressing management concerns of local stakeholders for model implementation.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Fate and transport; Pesticide; Review; SWAT; Watershed modeling

Year:  2019        PMID: 30884273     DOI: 10.1016/j.scitotenv.2019.03.141

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

Review 1.  Field-Effect Transistor-Based Biosensors for Environmental and Agricultural Monitoring.

Authors:  Giulia Elli; Saleh Hamed; Mattia Petrelli; Pietro Ibba; Manuela Ciocca; Paolo Lugli; Luisa Petti
Journal:  Sensors (Basel)       Date:  2022-05-31       Impact factor: 3.847

2.  Potential to Reduce Chemical Fertilizer Application in Tea Plantations at Various Spatial Scales.

Authors:  Shaowen Xie; Fen Yang; Hanxiao Feng; Zhenzhen Yu; Xinghu Wei; Chengshuai Liu; Chaoyang Wei
Journal:  Int J Environ Res Public Health       Date:  2022-04-26       Impact factor: 4.614

3.  Evaluation of thiobencarb runoff from rice farming practices in a California watershed using an integrated RiceWQ-AnnAGNPS system.

Authors:  Ruoyu Wang; Ronald L Bingner; Yongping Yuan; Martin Locke; Glenn Herring; Debra Denton; Minghua Zhang
Journal:  Sci Total Environ       Date:  2021-01-21       Impact factor: 7.963

Review 4.  Towards a multiscale crop modelling framework for climate change adaptation assessment.

Authors:  Bin Peng; Kaiyu Guan; Jinyun Tang; Elizabeth A Ainsworth; Senthold Asseng; Carl J Bernacchi; Mark Cooper; Evan H Delucia; Joshua W Elliott; Frank Ewert; Robert F Grant; David I Gustafson; Graeme L Hammer; Zhenong Jin; James W Jones; Hyungsuk Kimm; David M Lawrence; Yan Li; Danica L Lombardozzi; Amy Marshall-Colon; Carlos D Messina; Donald R Ort; James C Schnable; C Eduardo Vallejos; Alex Wu; Xinyou Yin; Wang Zhou
Journal:  Nat Plants       Date:  2020-04-15       Impact factor: 15.793

5.  Larvicidal toxicity of Metarhizium anisopliae metabolites against three mosquito species and non-targeting organisms.

Authors:  Perumal Vivekanandhan; Kannan Swathy; Dharman Kalaimurugan; Marimuthu Ramachandran; Ananthanarayanan Yuvaraj; Arjunan Naresh Kumar; Ayyavu Thendral Manikandan; Neelakandan Poovarasan; Muthugoundar Subramanian Shivakumar; Eliningaya J Kweka
Journal:  PLoS One       Date:  2020-05-04       Impact factor: 3.240

  5 in total

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