Sensitivity analysis for assessing the behaviour of a landscape-based sediment source and transport model

被引:35
作者
Newham, LTH [1 ]
Norton, JP
Prosser, IP
Croke, BFW
Jakeman, AJ
机构
[1] Australian Natl Univ, Integrated Catchment Assessment & Management Ctr, Canberra, ACT, Australia
[2] Univ Birmingham, Sch Engn, Birmingham B15 2TT, W Midlands, England
[3] CSIRO, Land & Water, Canberra, ACT, Australia
[4] Cooperat Res Ctr Catchment Hydrol, Canberra, ACT, Australia
[5] Australian Natl Univ, Ctr Resource & Environm Studies, Canberra, ACT, Australia
关键词
sensitivity assessment; water quality; pollutant modelling; SedNet model; sediment;
D O I
10.1016/S1364-8152(03)00076-8
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Widespread degradation of aquatic habitat and water quality has occurred since European settlement in Australia. Repairing this degradation is expensive and hence on-ground management needs to be carefully focussed. The Sediment River Network model, SedNet, used to estimate (spatially) the sources and transport of sediment at catchment scales provides a potentially useful tool to assist land managers in focusing this work. The complete model, while broadly applied has not been systematically tested to assess its sensitivity to its various model components. This paper describes sensitivity assessment to improve understanding of the model, with the aim of prioritising data acquisition and improving the structure and parameterisation of the model where necessary. It was found that the SedNet model was most sensitive to perturbations in its hydrologic parameters across a variety of scales and sites. Because of this it is important that ongoing model development activities focus on how to effectively represent hydrologic processes in the model. Crown copyright (C) 2003 Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:741 / 751
页数:11
相关论文
共 25 条
  • [21] Identifying Dominant Processes in Time and Space: Time-Varying Spatial Sensitivity Analysis for a Grid-Based Nitrate Model
    Wu, Songjun
    Tetzlaff, Doerthe
    Yang, Xiaoqiang
    Soulsby, Chris
    WATER RESOURCES RESEARCH, 2022, 58 (08)
  • [22] Cost-effectiveness and cost-benefit analysis of BMPs in controlling agricultural nonpoint source pollution in China based on the SWAT model
    Liu, Ruimin
    Zhang, Peipei
    Wang, Xiujuan
    Wang, Jiawei
    Yu, Wenwen
    Shen, Zhenyao
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2014, 186 (12) : 9011 - 9022
  • [23] Characterizing export of land-based microplastics to the estuary - Part II: Sensitivity analysis of an integrated geospatial microplastic transport modeling assessment of tire and road wear particles
    Unice, K. M.
    Weeber, M. P.
    Abramson, M. M.
    Reid, R. C. D.
    van Gils, J. A. G.
    Markus, A. A.
    Vethaak, A. D.
    Panko, J. M.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 646 : 1650 - 1659
  • [24] Occurrence of typical antibiotics in Nansi Lake's inflowing rivers and antibiotic source contribution to Nansi Lake based on principal component analysis-multiple linear regression model
    Zhang, Guodong
    Liu, Xiaohui
    Lu, Shaoyong
    Zhang, Jinpeng
    Wang, Weiliang
    CHEMOSPHERE, 2020, 242
  • [25] Analysis of water quality influencing factors under multi-source data fusion based on PLS-SEM model: An example of East-Liao River in China
    Na, Mula
    Liu, Xingpeng
    Tong, Zhijun
    Sudu, Bilige
    Zhang, Jiquan
    Wang, Rui
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 907