The Experts below are selected from a list of 51 Experts worldwide ranked by ideXlab platform

Helene Castebrunet - One of the best experts on this subject based on the ideXlab platform.

  • urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration
    Hydrological Processes, 2017
    Co-Authors: Siao Sun, Sylvie Barraud, Flora Branger, Isabelle Braud, Helene Castebrunet
    Abstract:

    Urban stormwater is a major cause of urban flooding and natural water pollution. It is therefore important to assess any hydrologic trends in urban catchments for stormwater management and planning. This study addresses urban hydrological trend analysis by examining trends in variables that characterize hydrological Processes. The original and modified Mann-Kendall methods are applied to trend detection in two French catchments, that is, Chassieu and La Lechere, based on approximately 1 decade of data from local monitoring programs. In both catchments, no trend is found in the major hydrological Process Driver (i.e., rainfall variables), whereas increasing trends are detected in runoff flow rates. As a consequence, the runoff coefficients tend to increase during the study period, probably due to growing imperviousness with the local urbanization Process. In addition, conceptual urban rainfall-runoff model parameters, which are identified via model calibration with an event based approach, are examined. Trend detection results indicate that there is no trend in the time of concentration in Chassieu, whereas a decreasing trend is present in La Lechere, which, however, needs to be validated with additional data. Sensitivity analysis indicates that the original Mann-Kendall method is not sensitive to a few noisy values in the data series.

  • Urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration
    Hydrological Processes, 2017
    Co-Authors: Siao Sun, Sylvie Barraud, Flora Branger, Isabelle Braud, Helene Castebrunet
    Abstract:

    Urban stormwater is a major cause of urban flooding and natural water pollution. It is therefore important to assess any hydrologic trends in urban catchments for stormwater management and planning. This study addresses urban hydrological trend analysis by examining trends in variables that characterize hydrological Processes. The original and modified Mann-Kendall methods are applied to trend detection in two French catchments, i.e., Chassieu and La Lechere, based on approximately one decade of data from local monitoring programs. In both catchments, no trend is found in the major hydrological Process Driver (i.e., rainfall variables), whereas increasing trends are detected in runoff flow rates. As a consequence, the runoff coefficients tend to increase during the study period, probably due to growing imperviousness with the local urbanization Process. In addition, conceptual urban rainfall-runoff model parameters, which are identified via model calibration with an event based approach, are examined. Trend detection results indicate that there is no trend in the time of concentration in Chassieu, whereas a decreasing trend is present in La Lechere, which, however, needs to be validated with additional data. Sensitivity analysis indicates that the original Mann-Kendall method is not sensitive to a few noisy values in the data series.

Siao Sun - One of the best experts on this subject based on the ideXlab platform.

  • urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration
    Hydrological Processes, 2017
    Co-Authors: Siao Sun, Sylvie Barraud, Flora Branger, Isabelle Braud, Helene Castebrunet
    Abstract:

    Urban stormwater is a major cause of urban flooding and natural water pollution. It is therefore important to assess any hydrologic trends in urban catchments for stormwater management and planning. This study addresses urban hydrological trend analysis by examining trends in variables that characterize hydrological Processes. The original and modified Mann-Kendall methods are applied to trend detection in two French catchments, that is, Chassieu and La Lechere, based on approximately 1 decade of data from local monitoring programs. In both catchments, no trend is found in the major hydrological Process Driver (i.e., rainfall variables), whereas increasing trends are detected in runoff flow rates. As a consequence, the runoff coefficients tend to increase during the study period, probably due to growing imperviousness with the local urbanization Process. In addition, conceptual urban rainfall-runoff model parameters, which are identified via model calibration with an event based approach, are examined. Trend detection results indicate that there is no trend in the time of concentration in Chassieu, whereas a decreasing trend is present in La Lechere, which, however, needs to be validated with additional data. Sensitivity analysis indicates that the original Mann-Kendall method is not sensitive to a few noisy values in the data series.

  • Urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration
    Hydrological Processes, 2017
    Co-Authors: Siao Sun, Sylvie Barraud, Flora Branger, Isabelle Braud, Helene Castebrunet
    Abstract:

    Urban stormwater is a major cause of urban flooding and natural water pollution. It is therefore important to assess any hydrologic trends in urban catchments for stormwater management and planning. This study addresses urban hydrological trend analysis by examining trends in variables that characterize hydrological Processes. The original and modified Mann-Kendall methods are applied to trend detection in two French catchments, i.e., Chassieu and La Lechere, based on approximately one decade of data from local monitoring programs. In both catchments, no trend is found in the major hydrological Process Driver (i.e., rainfall variables), whereas increasing trends are detected in runoff flow rates. As a consequence, the runoff coefficients tend to increase during the study period, probably due to growing imperviousness with the local urbanization Process. In addition, conceptual urban rainfall-runoff model parameters, which are identified via model calibration with an event based approach, are examined. Trend detection results indicate that there is no trend in the time of concentration in Chassieu, whereas a decreasing trend is present in La Lechere, which, however, needs to be validated with additional data. Sensitivity analysis indicates that the original Mann-Kendall method is not sensitive to a few noisy values in the data series.

Isabelle Braud - One of the best experts on this subject based on the ideXlab platform.

  • urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration
    Hydrological Processes, 2017
    Co-Authors: Siao Sun, Sylvie Barraud, Flora Branger, Isabelle Braud, Helene Castebrunet
    Abstract:

    Urban stormwater is a major cause of urban flooding and natural water pollution. It is therefore important to assess any hydrologic trends in urban catchments for stormwater management and planning. This study addresses urban hydrological trend analysis by examining trends in variables that characterize hydrological Processes. The original and modified Mann-Kendall methods are applied to trend detection in two French catchments, that is, Chassieu and La Lechere, based on approximately 1 decade of data from local monitoring programs. In both catchments, no trend is found in the major hydrological Process Driver (i.e., rainfall variables), whereas increasing trends are detected in runoff flow rates. As a consequence, the runoff coefficients tend to increase during the study period, probably due to growing imperviousness with the local urbanization Process. In addition, conceptual urban rainfall-runoff model parameters, which are identified via model calibration with an event based approach, are examined. Trend detection results indicate that there is no trend in the time of concentration in Chassieu, whereas a decreasing trend is present in La Lechere, which, however, needs to be validated with additional data. Sensitivity analysis indicates that the original Mann-Kendall method is not sensitive to a few noisy values in the data series.

  • Urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration
    Hydrological Processes, 2017
    Co-Authors: Siao Sun, Sylvie Barraud, Flora Branger, Isabelle Braud, Helene Castebrunet
    Abstract:

    Urban stormwater is a major cause of urban flooding and natural water pollution. It is therefore important to assess any hydrologic trends in urban catchments for stormwater management and planning. This study addresses urban hydrological trend analysis by examining trends in variables that characterize hydrological Processes. The original and modified Mann-Kendall methods are applied to trend detection in two French catchments, i.e., Chassieu and La Lechere, based on approximately one decade of data from local monitoring programs. In both catchments, no trend is found in the major hydrological Process Driver (i.e., rainfall variables), whereas increasing trends are detected in runoff flow rates. As a consequence, the runoff coefficients tend to increase during the study period, probably due to growing imperviousness with the local urbanization Process. In addition, conceptual urban rainfall-runoff model parameters, which are identified via model calibration with an event based approach, are examined. Trend detection results indicate that there is no trend in the time of concentration in Chassieu, whereas a decreasing trend is present in La Lechere, which, however, needs to be validated with additional data. Sensitivity analysis indicates that the original Mann-Kendall method is not sensitive to a few noisy values in the data series.

Flora Branger - One of the best experts on this subject based on the ideXlab platform.

  • urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration
    Hydrological Processes, 2017
    Co-Authors: Siao Sun, Sylvie Barraud, Flora Branger, Isabelle Braud, Helene Castebrunet
    Abstract:

    Urban stormwater is a major cause of urban flooding and natural water pollution. It is therefore important to assess any hydrologic trends in urban catchments for stormwater management and planning. This study addresses urban hydrological trend analysis by examining trends in variables that characterize hydrological Processes. The original and modified Mann-Kendall methods are applied to trend detection in two French catchments, that is, Chassieu and La Lechere, based on approximately 1 decade of data from local monitoring programs. In both catchments, no trend is found in the major hydrological Process Driver (i.e., rainfall variables), whereas increasing trends are detected in runoff flow rates. As a consequence, the runoff coefficients tend to increase during the study period, probably due to growing imperviousness with the local urbanization Process. In addition, conceptual urban rainfall-runoff model parameters, which are identified via model calibration with an event based approach, are examined. Trend detection results indicate that there is no trend in the time of concentration in Chassieu, whereas a decreasing trend is present in La Lechere, which, however, needs to be validated with additional data. Sensitivity analysis indicates that the original Mann-Kendall method is not sensitive to a few noisy values in the data series.

  • Urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration
    Hydrological Processes, 2017
    Co-Authors: Siao Sun, Sylvie Barraud, Flora Branger, Isabelle Braud, Helene Castebrunet
    Abstract:

    Urban stormwater is a major cause of urban flooding and natural water pollution. It is therefore important to assess any hydrologic trends in urban catchments for stormwater management and planning. This study addresses urban hydrological trend analysis by examining trends in variables that characterize hydrological Processes. The original and modified Mann-Kendall methods are applied to trend detection in two French catchments, i.e., Chassieu and La Lechere, based on approximately one decade of data from local monitoring programs. In both catchments, no trend is found in the major hydrological Process Driver (i.e., rainfall variables), whereas increasing trends are detected in runoff flow rates. As a consequence, the runoff coefficients tend to increase during the study period, probably due to growing imperviousness with the local urbanization Process. In addition, conceptual urban rainfall-runoff model parameters, which are identified via model calibration with an event based approach, are examined. Trend detection results indicate that there is no trend in the time of concentration in Chassieu, whereas a decreasing trend is present in La Lechere, which, however, needs to be validated with additional data. Sensitivity analysis indicates that the original Mann-Kendall method is not sensitive to a few noisy values in the data series.

Sylvie Barraud - One of the best experts on this subject based on the ideXlab platform.

  • urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration
    Hydrological Processes, 2017
    Co-Authors: Siao Sun, Sylvie Barraud, Flora Branger, Isabelle Braud, Helene Castebrunet
    Abstract:

    Urban stormwater is a major cause of urban flooding and natural water pollution. It is therefore important to assess any hydrologic trends in urban catchments for stormwater management and planning. This study addresses urban hydrological trend analysis by examining trends in variables that characterize hydrological Processes. The original and modified Mann-Kendall methods are applied to trend detection in two French catchments, that is, Chassieu and La Lechere, based on approximately 1 decade of data from local monitoring programs. In both catchments, no trend is found in the major hydrological Process Driver (i.e., rainfall variables), whereas increasing trends are detected in runoff flow rates. As a consequence, the runoff coefficients tend to increase during the study period, probably due to growing imperviousness with the local urbanization Process. In addition, conceptual urban rainfall-runoff model parameters, which are identified via model calibration with an event based approach, are examined. Trend detection results indicate that there is no trend in the time of concentration in Chassieu, whereas a decreasing trend is present in La Lechere, which, however, needs to be validated with additional data. Sensitivity analysis indicates that the original Mann-Kendall method is not sensitive to a few noisy values in the data series.

  • Urban hydrologic trend analysis based on rainfall and runoff data analysis and conceptual model calibration
    Hydrological Processes, 2017
    Co-Authors: Siao Sun, Sylvie Barraud, Flora Branger, Isabelle Braud, Helene Castebrunet
    Abstract:

    Urban stormwater is a major cause of urban flooding and natural water pollution. It is therefore important to assess any hydrologic trends in urban catchments for stormwater management and planning. This study addresses urban hydrological trend analysis by examining trends in variables that characterize hydrological Processes. The original and modified Mann-Kendall methods are applied to trend detection in two French catchments, i.e., Chassieu and La Lechere, based on approximately one decade of data from local monitoring programs. In both catchments, no trend is found in the major hydrological Process Driver (i.e., rainfall variables), whereas increasing trends are detected in runoff flow rates. As a consequence, the runoff coefficients tend to increase during the study period, probably due to growing imperviousness with the local urbanization Process. In addition, conceptual urban rainfall-runoff model parameters, which are identified via model calibration with an event based approach, are examined. Trend detection results indicate that there is no trend in the time of concentration in Chassieu, whereas a decreasing trend is present in La Lechere, which, however, needs to be validated with additional data. Sensitivity analysis indicates that the original Mann-Kendall method is not sensitive to a few noisy values in the data series.