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Dogan FN, Karpuzcu ME. Modeling fate and transport of pesticides from dryland agriculture using SWAT model. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 334:117457. [PMID: 36801806 DOI: 10.1016/j.jenvman.2023.117457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 01/23/2023] [Accepted: 02/02/2023] [Indexed: 06/18/2023]
Abstract
The aim of this study was to understand pesticide fate and transport from dryland agriculture in a major drinking water basin using SWAT and to identify critical source areas in the basin. Hydrological calibration results indicated satisfactory simulation of hydrologic processes within the catchment. Long term average observed sediment values (0.16 ton/ha) were compared with the annual average simulated SWAT outputs (0.22 ton/ha). Generally, the simulated concentrations were higher than the observed values, but the distribution pattern and trends were similar among the months. Average concentrations in water were 0.036 μg/L and 0.006 μg/L for fenpropimorph and chlorpyrifos, respectively. Transfer rates of pesticides from landscape to rivers showed that 0.36% of fenpropimorph and 0.19% of the applied amount of chlorpyrifos were exported to the river. Higher amount of fenpropimorph transport from land to the reach was attributed to its lower Koc (soil adsorption coefficient) value compared to chlorpyrifos. Higher amounts from HRUs were observed in the application month (April) and following month (May) for fenpropimorph, while the months after September showed higher amounts for chlorpyrifos. The specific HRUs (Hydrological Response Units) located in sub-basins 3, 5, 9 and 11 presented highest dissolved pesticide amounts, while HRUs in sub-basins 4 and 11 exhibited highest concentrations for adsorbed pesticides. Best management practices (BMPs) were recommended in critical subbasins to protect the watershed. Despite the limitations, the results demonstrate the potential contributions of modeling in terms of assessing pesticide loadings, critical zones and application timing.
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Affiliation(s)
- F Nihan Dogan
- Istanbul Technical University, Department of Environmental Engineering, Maslak 34469, Istanbul, Turkey.
| | - M Ekrem Karpuzcu
- Istanbul Technical University, Department of Environmental Engineering, Maslak 34469, Istanbul, Turkey
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Centanni M, Ricci GF, De Girolamo AM, Romano G, Gentile F. A review of modeling pesticides in freshwaters: Current status, progress achieved and desirable improvements. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 316:120553. [PMID: 36347410 DOI: 10.1016/j.envpol.2022.120553] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 10/25/2022] [Accepted: 10/28/2022] [Indexed: 06/16/2023]
Abstract
This study comprises a critical review of modeling of pesticides in surface waters. The aim was to update the status of the use of models to simulate the fate of pesticides from diffuse sources. ISI papers were selected on Scopus and the information concerning the study areas, type of pesticides (herbicides, fungicides and insecticides), the model, and the methodology adopted (i.e., calibration and/or validation, spatial and temporal scales) were analyzed. The studies were carried out in Europe (55.5%), North America (22.3%), Asia (13.9%) and South America (8.3%). The Soil and Water Assessment Tool proved to be the most used model (45.95%). Herbicides were the most modeled pesticides (71.4%), followed by insecticides (18.2%) and fungicides (10.4%). The main herbicides modeled were atrazine, metolachlor, isoproturon, glyphosate, and acetochlor. Insecticides such as chlorpyrifos and metaldehyde. Chlorothalonil, and fungicides (i.e., tebuconazole) were the most widely investigated. Based on published studies, it was found that modeling approaches for assessing the fate of pesticides are constantly evolving and the model algorithms work well with diverse watershed conditions, management strategies, and pesticide properties. Several papers reported concentrations of pesticides exceeding ecotoxicological thresholds revealing that water contamination with pesticides used in agriculture and urban areas is a priority issue of current global concern.
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Affiliation(s)
- M Centanni
- University of Bari Aldo Moro, Department of Agricultural and Environmental Sciences, Bari, Italy
| | - G F Ricci
- University of Bari Aldo Moro, Department of Agricultural and Environmental Sciences, Bari, Italy.
| | - A M De Girolamo
- National Research Council, Water Research Institute (IRSA-CNR), Bari, Italy
| | - G Romano
- University of Bari Aldo Moro, Department of Agricultural and Environmental Sciences, Bari, Italy
| | - F Gentile
- University of Bari Aldo Moro, Department of Agricultural and Environmental Sciences, Bari, Italy
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Abstract
The widespread application of nuclear magnetic resonance (NMR) spectroscopy in detection is currently hampered by its inherently low sensitivity and complications resulting from the undesired signal overlap. Here, we report a detection scheme to address these challenges, where analytes are recognized by 19F-labeled probes to induce characteristic shifts of 19F resonances that can be used as "chromatographic" signatures to pin down each low-concentration analyte in complex mixtures. This unique signal transduction mechanism allows detection sensitivity to be enhanced by using massive chemically equivalent 19F atoms, which was achieved through the proper installation of nonafluoro-tert-butoxy groups on probes of high structural symmetry. It is revealed that the binding of an analyte to the probe can be sensed by as many as 72 chemically equivalent 19F atoms, allowing the quantification of analytes at nanomolar concentrations to be routinely performed by NMR. Applications on the detection of trace amounts of prohibited drug molecules and water contaminants were demonstrated. The high sensitivity and robust resolving ability of this approach represent a first step toward extending the application of NMR to scenarios that are now governed by chromatographic and mass spectrometry techniques. The detection scheme also makes possible the highly sensitive non-invasive multi-component analysis that is difficult to achieve by other analytical methods.
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Affiliation(s)
- Lixian Wen
- Key Laboratory of Organofluorine Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China
| | - Huan Meng
- Key Laboratory of Organofluorine Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China
| | - Siyi Gu
- Key Laboratory of Organofluorine Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China
| | - Jian Wu
- Instrumental Analysis Center, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, P. R. China
| | - Yanchuan Zhao
- Key Laboratory of Organofluorine Chemistry, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China.,Key Laboratory of Energy Regulation Materials, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China
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Li J, He R, deVoil P, Wan S. Enhancing the application of organic fertilisers by members of agricultural cooperatives. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 293:112901. [PMID: 34082349 DOI: 10.1016/j.jenvman.2021.112901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 04/26/2021] [Accepted: 05/25/2021] [Indexed: 06/12/2023]
Abstract
Scientific literature has reported that participation in agricultural cooperatives has positive effects on small farmers' preference for organic fertilisers over chemical fertilisers. However, there is limited focus on enhancing the voluntary use of organic fertilisers by small farmers who have joined an agricultural cooperative. This paper describes an agent-based model for simulating small farmers' decision-making with regard to fertiliser selection. Ninety six farmers (members) of one of the largest strawberry production cooperatives in China were assessed to understand their willingness to use different fertilisers and their socioeconomic characteristics. Simulation results showed that for farmers belonging to the agricultural cooperative who earn higher marginal profits, variations in the prices of the agricultural produce had no significant effect on their behaviour in terms of the use of organic fertilisers. The number of farmers using organic fertilisers at the beginning of the first year has a positive relationship with the increase in the rate at which farmers use organic fertilisers. However, the count does not alter the final number of farmers who use organic fertilisers after several years. Moreover, farmers' willingness to use organic fertilisers enhances the increasing speed and final number of farmers using organic fertilisers simultaneously. The design of strategies (increasing the number of farmers using organic fertilisers at the beginning of the first year and enhancing farmers' willingness to use organic fertilisers) has a significant effect on the promotion of organic fertiliser application by agricultural cooperatives in China.
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Affiliation(s)
- Jing Li
- School of Information Management, Nanjing Agricultural University, Nanjing, 210031, China.
| | - Ruiyin He
- School of Engineering, Nanjing Agricultural University, Nanjing, 210031, China.
| | - Peter deVoil
- Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Toowoomba, 4350, Australia.
| | - Shan Wan
- School of Information Management, Nanjing Agricultural University, Nanjing, 210031, China.
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Using the Soil and Water Assessment Tool to Simulate the Pesticide Dynamics in the Data Scarce Guayas River Basin, Ecuador. WATER 2020. [DOI: 10.3390/w12030696] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Agricultural intensification has stimulated the economy in the Guayas River basin in Ecuador, but also affected several ecosystems. The increased use of pesticides poses a serious threat to the freshwater ecosystem, which urgently calls for an improved knowledge about the impact of pesticide practices in this study area. Several studies have shown that models can be appropriate tools to simulate pesticide dynamics in order to obtain this knowledge. This study tested the suitability of the Soil and Water Assessment Tool (SWAT) to simulate the dynamics of two different pesticides in the data scarce Guayas River basin. First, we set up, calibrated and validated the model using the streamflow data. Subsequently, we set up the model for the simulation of the selected pesticides (i.e., pendimethalin and fenpropimorph). While the hydrology was represented soundly by the model considering the data scare conditions, the simulation of the pesticides should be taken with care due to uncertainties behind essential drivers, e.g., application rates. Among the insights obtained from the pesticide simulations are the identification of critical zones for prioritisation, the dominant areas of pesticide sources and the impact of the different land uses. SWAT has been evaluated to be a suitable tool to investigate the impact of pesticide use under data scarcity in the Guayas River basin. The strengths of SWAT are its semi-distributed structure, availability of extensive online documentation, internal pesticide databases and user support while the limitations are high data requirements, time-intensive model development and challenging streamflow calibration. The results can also be helpful to design future water quality monitoring strategies. However, for future studies, we highly recommend extended monitoring of pesticide concentrations and sediment loads. Moreover, to substantially improve the model performance, the availability of better input data is needed such as higher resolution soil maps, more accurate pesticide application rate and actual land management programs. Provided that key suggestions for further improvement are considered, the model is valuable for applications in river ecosystem management of the Guayas River basin.
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Wang R, Yuan Y, Yen H, Grieneisen M, Arnold J, Wang D, Wang C, Zhang M. A review of pesticide fate and transport simulation at watershed level using SWAT: Current status and research concerns. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 669:512-526. [PMID: 30884273 DOI: 10.1016/j.scitotenv.2019.03.141] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 03/07/2019] [Accepted: 03/09/2019] [Indexed: 05/21/2023]
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.
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Affiliation(s)
- Ruoyu Wang
- Department of Land, Air and Water Resources, University of California, Davis, CA 95616, United States
| | - Yongping Yuan
- USEPA/ORD/NERL, Research Triangle Park, NC 27711, United States
| | - Haw Yen
- Blackland Research and Extension Center, Texas A&M University, Temple, TX 76502, United States
| | - Michael Grieneisen
- Department of Land, Air and Water Resources, University of California, Davis, CA 95616, United States
| | - Jeffrey Arnold
- Blackland Research and Extension Center, Texas A&M University, Temple, TX 76502, United States
| | - Dan Wang
- Department of Pesticide Regulation, California Environmental Protection Agency, Sacramento, CA 95812, USA
| | - Chaozi Wang
- College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China.
| | - Minghua Zhang
- Department of Land, Air and Water Resources, University of California, Davis, CA 95616, United States.
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A Review of SWAT Studies in Southeast Asia: Applications, Challenges and Future Directions. WATER 2019. [DOI: 10.3390/w11050914] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The Soil and Water Assessment Tool (SWAT) model is recognized as one of the top hydrological models applied for addressing hydrologic and environmental issues. This is the first review on the SWAT model studies in Southeast Asia, with an emphasis on its applications, current challenges and future research directions. A total of 126 articles were identified since 2006; roughly 50% of these studies were conducted in Vietnam or Thailand. About 16% of the studies were performed at a transnational scale, which included Cambodia, Lao PDR, Thailand, and Vietnam. Model capability assessment, land use, and climate change assessment are the main SWAT applications that have been reported for the region. Most of the SWAT calibration and validation results for these studies were classified as satisfactory to very good results based on widely recognized performance indicators. However, the parameterization, calibration and validation procedures are not well reported in some articles. Availability of reliable data is one of the main problems that SWAT users are confronted with, as these data are either not freely available or restricted from public access in some countries. Hence, future studies should be considered on identification and development of reliable input data for SWAT modeling. SWAT model modification based on the SEA climate, geographical and land use conditions is another research direction to be considered in the future. Moreover, application of SWAT for extreme events simulation requires more attention in this region.
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Wang R, Chen H, Luo Y, Yen H, Arnold JG, Bubenheim D, Moran P, Zhang M. Modeling Pesticide Fate and Transport at Watershed Scale Using the Soil & Water Assessment Tool: General Applications and Mitigation Strategies. PESTICIDES IN SURFACE WATER: MONITORING, MODELING, RISK ASSESSMENT, AND MANAGEMENT 2019. [DOI: 10.1021/bk-2019-1308.ch020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Ruoyu Wang
- Department of Land, Air and Water Resources, University of California,Davis, California 95616, United States
| | - Huajin Chen
- Department of Land, Air and Water Resources, University of California,Davis, California 95616, United States
| | - Yuzhou Luo
- Department of Pesticide Regulation, California Environmental Protection Agency, Sacramento, California 95812, United States
| | - Haw Yen
- Blackland Research and Extension Center, Texas A&M University,Temple, Texas 76502, United States
| | - Jeffrey George Arnold
- Blackland Research and Extension Center, Texas A&M University,Temple, Texas 76502, United States
| | - David Bubenheim
- NASA Ames Research Center, Moffett Field, California 94035, United States
| | - Patrick Moran
- USDA-ARS, Invasive Species and Pollinator Health Research Unit, Albany, California 94710, United States
| | - Minghua Zhang
- Department of Land, Air and Water Resources, University of California,Davis, California 95616, United States
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Schwanz TG, Carpilovsky CK, Weis GCC, Costabeber IH. Validation of a multi-residue method and estimation of measurement uncertainty of pesticides in drinking water using gas chromatography–mass spectrometry and liquid chromatography–tandem mass spectrometry. J Chromatogr A 2019; 1585:10-18. [DOI: 10.1016/j.chroma.2018.11.058] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 11/19/2018] [Accepted: 11/21/2018] [Indexed: 11/27/2022]
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Lu Q, Whitehead PG, Bussi G, Futter MN, Nizzetto L. Modelling metaldehyde in catchments: a River Thames case-study. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2017; 19:586-595. [PMID: 28322378 DOI: 10.1039/c6em00527f] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
The application of metaldehyde to agricultural catchment areas to control slugs and snails has caused severe problems for drinking water supply in recent years. In the River Thames catchment, metaldehyde has been detected at levels well above the EU and UK drinking water standards of 0.1 μg l-1 at many sites across the catchment between 2008 and 2015. Metaldehyde is applied in autumn and winter, leading to its increased concentrations in surface waters. It is shown that a process-based hydro-biogeochemical transport model (INCA-contaminants) can be used to simulate metaldehyde transport in catchments from areas of application to the aquatic environment. Simulations indicate that high concentrations in the river system are a direct consequence of excessive application rates. A simple application control strategy for metaldehyde in the Thames catchment based on model results is presented.
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Affiliation(s)
- Q Lu
- School of Geography and the Environment, University of Oxford, South Parks Road, Oxford, OX1 3QY, UK.
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Pirsaheb M, Hossini H, Asadi F, Janjani H. A systematic review on organochlorine and organophosphorus pesticides content in water resources. TOXIN REV 2017. [DOI: 10.1080/15569543.2016.1269810] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
Affiliation(s)
- Meghdad Pirsaheb
- Department of Environmental Health Engineering, Faculty of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran and
| | - Hooshyar Hossini
- Department of Environmental Health Engineering, Faculty of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran and
| | - Fatemeh Asadi
- Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Hosna Janjani
- Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran
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