The Experts below are selected from a list of 5751 Experts worldwide ranked by ideXlab platform
Texas State Soil - One of the best experts on this subject based on the ideXlab platform.
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Texas Nonpoint Source Pollution Management Program Annual Report: 2011
2012Co-Authors: Texas State SoilAbstract:Annual report about managing Nonpoint Source Pollution in Texas providing an overview of the issue and discussing progress in water quality improvement and in meeting the goals of the program, updates from specific committees and projects, plans to protect watersheds in Texas, and other related activities during 2011.
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Texas Nonpoint Source Pollution Management Program Annual Report: 2010
2011Co-Authors: Texas State SoilAbstract:Annual report about managing Nonpoint Source Pollution in Texas providing an overview of the issue and the program, with additional information about watershed action planning, the water quality management cycle, specific agency programs, and best management practices during 2010.
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Texas Nonpoint Source Pollution Management Program Annual Report: 2008
2009Co-Authors: Texas State SoilAbstract:Annual report about managing Nonpoint Source Pollution in Texas providing an overview of the issue and discussing progress in water quality improvement and in meeting the goals of the program, updates from specific committees and projects, plans to protect watersheds in Texas, and other related activities during 2008.
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Texas Nonpoint Source Pollution Management Program Annual Report: 2007
2008Co-Authors: Texas State SoilAbstract:Annual report about managing Nonpoint Source Pollution in Texas providing an overview of the issue and discussing progress in water quality improvement and in meeting the goals of the program, updates from specific committees and projects, plans to protect watersheds in Texas, and other related activities during 2007.
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Texas Nonpoint Source Pollution Management Program Annual Report: 2003
2004Co-Authors: Texas State SoilAbstract:Annual report about managing Nonpoint Source Pollution in Texas providing a broad overview and discussing assessment, implementation, and educational activities, as well as financial information for the program during 2003.
Wei Wang - One of the best experts on this subject based on the ideXlab platform.
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Source sink landscape pattern analysis of Nonpoint Source Pollution using remote sensing techniques
International Journal of Environmental Science and Technology, 2018Co-Authors: X. Zhang, Jintian Cui, Yaoxiang Liu, Wei WangAbstract:Research on the “Source–sink” landscape pattern of Nonpoint Source Pollution is of great significance to natural reSource management, environmental protection, water quality improvement, Nonpoint Source Pollution prevention and control, and ecological security pattern construction. Remote sensing has proven by many scholars as a practical and effective technique to study landscape patterns and Nonpoint Source Pollution. However, there are still many obstacles to the application of remote sensing technology, such as classification errors, scale effects and the issue, whereby landscape metrics cannot describe the landscape information comprehensively. In view of the characteristics of the macroscale and multi-scale of remote sensing, the analysis of landscape patterns is the basis for the study of the relationship research between patterns and ecological processes, and it is also the key to the study of landscape dynamics and functions. This paper attempts to summarize the representative results and the challenges of remote sensing in the study of the Source and sink landscape of the Nonpoint Source Pollution landscape and provide corresponding solutions as a reference for future research.
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“Source–sink” landscape pattern analysis of Nonpoint Source Pollution using remote sensing techniques
International Journal of Environmental Science and Technology, 2018Co-Authors: X. Zhang, Jintian Cui, Yaoxiang Liu, Wei WangAbstract:Research on the “Source–sink” landscape pattern of Nonpoint Source Pollution is of great significance to natural reSource management, environmental protection, water quality improvement, Nonpoint Source Pollution prevention and control, and ecological security pattern construction. Remote sensing has proven by many scholars as a practical and effective technique to study landscape patterns and Nonpoint Source Pollution. However, there are still many obstacles to the application of remote sensing technology, such as classification errors, scale effects and the issue, whereby landscape metrics cannot describe the landscape information comprehensively. In view of the characteristics of the macroscale and multi-scale of remote sensing, the analysis of landscape patterns is the basis for the study of the relationship research between patterns and ecological processes, and it is also the key to the study of landscape dynamics and functions. This paper attempts to summarize the representative results and the challenges of remote sensing in the study of the Source and sink landscape of the Nonpoint Source Pollution landscape and provide corresponding solutions as a reference for future research.
Long Wang - One of the best experts on this subject based on the ideXlab platform.
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urban Nonpoint Source Pollution buildup and washoff models for simulating storm runoff quality in the los angeles county
Environmental Pollution, 2011Co-Authors: Long Wang, Yue-fei Huang, Guang-qian Wang, Jiahua Wei, Imran MaqsoodAbstract:Many urban Nonpoint Source Pollution models utilize pollutant buildup and washoff functions to simulate storm runoff quality of urban catchments. In this paper, two urban pollutant washoff load models are derived using pollutant buildup and washoff functions. The first model assumes that there is no residual pollutant after a storm event while the second one assumes that there is always residual pollutant after each storm event. The developed models are calibrated and verified with observed data from an urban catchment in the Los Angeles County. The application results show that the developed model with consideration of residual pollutant is more capable of simulating Nonpoint Source Pollution from urban storm runoff than that without consideration of residual pollutant. For the study area, residual pollutant should be considered in pollutant buildup and washoff functions for simulating urban Nonpoint Source Pollution when the total runoff volume is less than 30 mm.
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Review of urban Nonpoint Source Pollution models
Huan jing ke xue= Huanjing kexue, 2010Co-Authors: Long Wang, Yue-fei Huang, Guang-qian WangAbstract:The development history of urban Nonpoint Source Pollution models is reviewed. Features, applicability and limitations of seven popular urban Nonpoint Source Pollution models (SWMM, STORM, SLAMM, HSPF, DR3M-QUAL, MOUSE, and HydroWorks) are discussed. The methodology and research findings of uncertainty in urban Nonpoint Source Pollution modeling are presented. Analytical probabilistic models for estimation of urban Nonpoint Sources are also presented. The research achievements of urban Nonpoint Source Pollution models in China are summarized. The shortcomings and gaps of approaches on urban Nonpoint Source Pollution models are pointed out. Improvements in modeling of pollutants buildup and washoff, sediments and pollutants transport, and pollutants biochemical reactions are desired for those seven popular models. Most of the models developed by researchers in China are empirical models, so that they can only applied for specific small areas and have inadequate accuracy. Future approaches include improving capability in fate and transport simulation of sediments and pollutants, exploring methodologies of modeling urban Nonpoint Source Pollution in regions with little data or incomplete information, developing stochastic models for urban Nonpoint Source Pollution simulation, and applying GIS to facilitate urban Nonpoint Source Pollution simulation.
X. Zhang - One of the best experts on this subject based on the ideXlab platform.
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Source sink landscape pattern analysis of Nonpoint Source Pollution using remote sensing techniques
International Journal of Environmental Science and Technology, 2018Co-Authors: X. Zhang, Jintian Cui, Yaoxiang Liu, Wei WangAbstract:Research on the “Source–sink” landscape pattern of Nonpoint Source Pollution is of great significance to natural reSource management, environmental protection, water quality improvement, Nonpoint Source Pollution prevention and control, and ecological security pattern construction. Remote sensing has proven by many scholars as a practical and effective technique to study landscape patterns and Nonpoint Source Pollution. However, there are still many obstacles to the application of remote sensing technology, such as classification errors, scale effects and the issue, whereby landscape metrics cannot describe the landscape information comprehensively. In view of the characteristics of the macroscale and multi-scale of remote sensing, the analysis of landscape patterns is the basis for the study of the relationship research between patterns and ecological processes, and it is also the key to the study of landscape dynamics and functions. This paper attempts to summarize the representative results and the challenges of remote sensing in the study of the Source and sink landscape of the Nonpoint Source Pollution landscape and provide corresponding solutions as a reference for future research.
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“Source–sink” landscape pattern analysis of Nonpoint Source Pollution using remote sensing techniques
International Journal of Environmental Science and Technology, 2018Co-Authors: X. Zhang, Jintian Cui, Yaoxiang Liu, Wei WangAbstract:Research on the “Source–sink” landscape pattern of Nonpoint Source Pollution is of great significance to natural reSource management, environmental protection, water quality improvement, Nonpoint Source Pollution prevention and control, and ecological security pattern construction. Remote sensing has proven by many scholars as a practical and effective technique to study landscape patterns and Nonpoint Source Pollution. However, there are still many obstacles to the application of remote sensing technology, such as classification errors, scale effects and the issue, whereby landscape metrics cannot describe the landscape information comprehensively. In view of the characteristics of the macroscale and multi-scale of remote sensing, the analysis of landscape patterns is the basis for the study of the relationship research between patterns and ecological processes, and it is also the key to the study of landscape dynamics and functions. This paper attempts to summarize the representative results and the challenges of remote sensing in the study of the Source and sink landscape of the Nonpoint Source Pollution landscape and provide corresponding solutions as a reference for future research.
Guang-qian Wang - One of the best experts on this subject based on the ideXlab platform.
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urban Nonpoint Source Pollution buildup and washoff models for simulating storm runoff quality in the los angeles county
Environmental Pollution, 2011Co-Authors: Long Wang, Yue-fei Huang, Guang-qian Wang, Jiahua Wei, Imran MaqsoodAbstract:Many urban Nonpoint Source Pollution models utilize pollutant buildup and washoff functions to simulate storm runoff quality of urban catchments. In this paper, two urban pollutant washoff load models are derived using pollutant buildup and washoff functions. The first model assumes that there is no residual pollutant after a storm event while the second one assumes that there is always residual pollutant after each storm event. The developed models are calibrated and verified with observed data from an urban catchment in the Los Angeles County. The application results show that the developed model with consideration of residual pollutant is more capable of simulating Nonpoint Source Pollution from urban storm runoff than that without consideration of residual pollutant. For the study area, residual pollutant should be considered in pollutant buildup and washoff functions for simulating urban Nonpoint Source Pollution when the total runoff volume is less than 30 mm.
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Review of urban Nonpoint Source Pollution models
Huan jing ke xue= Huanjing kexue, 2010Co-Authors: Long Wang, Yue-fei Huang, Guang-qian WangAbstract:The development history of urban Nonpoint Source Pollution models is reviewed. Features, applicability and limitations of seven popular urban Nonpoint Source Pollution models (SWMM, STORM, SLAMM, HSPF, DR3M-QUAL, MOUSE, and HydroWorks) are discussed. The methodology and research findings of uncertainty in urban Nonpoint Source Pollution modeling are presented. Analytical probabilistic models for estimation of urban Nonpoint Sources are also presented. The research achievements of urban Nonpoint Source Pollution models in China are summarized. The shortcomings and gaps of approaches on urban Nonpoint Source Pollution models are pointed out. Improvements in modeling of pollutants buildup and washoff, sediments and pollutants transport, and pollutants biochemical reactions are desired for those seven popular models. Most of the models developed by researchers in China are empirical models, so that they can only applied for specific small areas and have inadequate accuracy. Future approaches include improving capability in fate and transport simulation of sediments and pollutants, exploring methodologies of modeling urban Nonpoint Source Pollution in regions with little data or incomplete information, developing stochastic models for urban Nonpoint Source Pollution simulation, and applying GIS to facilitate urban Nonpoint Source Pollution simulation.
