Modelling of Atrazine Loss in Surface Runoff from Agricultural Watershed

Chen, Bing; Li, Yifan; Huang, Guohe; Struger, John; Zhang, Baiyu; Wu, Simon

doi:10.2166/wqrj.2003.038

Cited by 13 publications

(8 citation statements)

References 21 publications

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“…The pesticide loss model (PeLM) developed by Chen et al (2003Chen et al ( , 2004 was employed to predict the pesticide losses through runoff from agricultural lands. The model is an integration of a mathematical model and a geographic information system (GIS).…”

Section: Modeling Formulationmentioning

confidence: 99%

“…The final results can be presented graphically in the GIS model. The detail formulations of PeLM can be found in Chen et al (2003Chen et al ( , 2004.…”

Section: Modeling Formulationmentioning

confidence: 99%

“…Such losses and their potential risks to the public health have got more attention recently (Chen et al, 2003). This is because the chemicals applied as both herbicides and insecticides are long-lived, and can be transported by water.…”

Section: Introductionmentioning

confidence: 99%

“…As a useful tool to support such management, mathematical modeling plays a key role by simulating the pesticide transport in the environment and predicting the pesticide loss. There were numerous studies on modeling the fate and transport of pesticides in the environment (Floyd et al, 1998;Sauer, 1998;Li et al, 2003a, b;Li and Bidleman, 2003;Chen et al, 2001aChen et al, , b, 2003Chen et al, , 2004. Some simulation models have been developed and employed to estimate pesticide pollution through surface runoff, such as GLEAMS (Leonard et al, 1987), AGNPS (Young et al, 1986), RZWQM (USDA, 1995), and PeLM (Chen et al, 2003(Chen et al, , 2004.…”

Section: Introductionmentioning

confidence: 99%

“…There were numerous studies on modeling the fate and transport of pesticides in the environment (Floyd et al, 1998;Sauer, 1998;Li et al, 2003a, b;Li and Bidleman, 2003;Chen et al, 2001aChen et al, , b, 2003Chen et al, , 2004. Some simulation models have been developed and employed to estimate pesticide pollution through surface runoff, such as GLEAMS (Leonard et al, 1987), AGNPS (Young et al, 1986), RZWQM (USDA, 1995), and PeLM (Chen et al, 2003(Chen et al, , 2004. However, the previous studies only emphasized on current conditions and no one was conducted to predict pesticide loss under climate changing conditions.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Climate Change and Pesticide Loss in Watershed Systems: A Simulation Modeling Study

Chen

2007

J ENV INFORM

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ABSTRACT. This paper aims at examining the impacts of climate change on pesticide loss to surface water through a modeling study. An integrated modeling system which combined a distributed pesticide loss model with geographic information system (GIS), database, and climate change scenarios was proposed. It can predict pesticide loss through runoff under climatic change conditions. A case study was used to calibrate and verify the proposed system. The atrazine loss in 2050 and 2100 was predicted under different climate change scenarios. With the global warming, the annual streamflow would augment by 3 to 5% and the total atrazine losses would also gradually increase by 1.4 to 1.7%. The maximum concentrations of atrazine in river would be raised by 2.5 to 23%. It was also found that the wet season would always take the biggest share of pesticide-loss contribution to the river. A sensitive analysis disclosed that both of streamflow and pesticide concentration are more sensitive to temperature increase than decrease. This study is the first one to quantify the relationship between pesticide loss and climate change through a mathematic modeling system. The results can help people more effectively assess climate-change impacts, manage pesticide practices, and control water pollution.

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Section: Modeling Formulationmentioning

confidence: 99%

“…The final results can be presented graphically in the GIS model. The detail formulations of PeLM can be found in Chen et al (2003Chen et al ( , 2004.…”

Section: Modeling Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Climate Change and Pesticide Loss in Watershed Systems: A Simulation Modeling Study

Chen

2007

J ENV INFORM

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Building channel networks for flat regions in digital elevation models

Zhang

Huang

2009

Hydrological Processes

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Abstract:Digital elevation models (DEMs) are data sources for distributed rainfall-runoff modelling in terms of providing the channel network for a watershed of interest. Assigning flow directions over flat regions is an important issue in the field of DEM processing and extraction of drainage features. Existing methods cannot fully incorporate the information of known drainage features and terrain surrounding the flat region. This study presented a hydrological correction method that integrates topographic information from different sources to interpolate a convergent surface. It employs radial basis function interpolation to determine elevation increment at every position, utilizes data of digital channel network, incorporates elevation in the surrounding terrain, and ensures a convergent channel network while minimizing the impact of correction on the original DEM. The method can be easily implemented in geographic information system (GIS) environment. It was applied to the DEM of the Heshui Watershed, China. The extracted channel network was visually inspected and quantitatively assessed through analysing the flow direction raster. Results showed that the channel network generated by the hydrological correction was consistent with the known drainage features and contained less parallel channels comparing with the results from two existing methods.

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Modeling global emissions and residues of pesticides

Venkatesh

Li³

2005

Environ Model Assess

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A major portion of persistent organic pollutants (POPs) is organochlorine pesticides (OCPs), in which carbon and chlorine are combined. During the last decade, a number of researches have been devoted to create emission inventories of OCPs at regional and global scales. The studies on residue inventories of OCPs, however, are sparse. In the absence of complete data and information on worldwide inventories of pesticides emissions and residues, a Simplified Gridded Pesticide Emission and Residue Model (SGPERM) has been developed to estimate the emissions and residues, and build pesticide emission and residue inventories. The SGPERM is an integration of a mathematical module, a relational database system, and a geographic information system. In this paper, a complete description of the model is given. A brief review of the model's application in developing emission inventories for α-HCH is introduced. The model is used to create global gridded residue inventories of α-HCH on cropland with a 1 • latitude by 1 • longitude resolution for 1980, 1990, and 2000, the first such residue inventories for any pesticide. The total global residues of α-HCH on cropland were 198 kt in 1980, 35 kt in 1990, and 1.2 kt in 2000, and the emissions from these residues were 11.8 kt in 1980, 2.3 kt in 1990, and 0.15 kt in 2000. Historical trends of α-HCH concentration in agricultural soil are also estimated at some locations in China and Japan, and match the monitoring data quite well.

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Modelling of Atrazine Loss in Surface Runoff from Agricultural Watershed

Cited by 13 publications

References 21 publications

Climate Change and Pesticide Loss in Watershed Systems: A Simulation Modeling Study

Climate Change and Pesticide Loss in Watershed Systems: A Simulation Modeling Study

Building channel networks for flat regions in digital elevation models

Modeling global emissions and residues of pesticides

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