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Modelling the hydrological impacts of rural land use change

机译:模拟农村土地利用变化的水文影响

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摘要

The potential role of rural land use in mitigating flood risk and protecting water supplies continues to be of great interest to regulators and planners. The ability of hydrologists to quantify the impact of rural land use change on the water cycle is however limited and we are not able to provide consistently reliable evidence to support planning and policy decisions. This shortcoming stems mainly from lack of data, but also from lack of modelling methods and tools. Numerous research projects over the last few years have been attempting to address the underlying challenges. This paper describes these challenges, significant areas of progress and modelling innovations, and proposes priorities for further research. The paper is organised into five inter-related subtopics: (1) evidence-based modelling; (2) upscaling to maximise the use of process knowledge and physics-based models; (3) representing hydrological connectivity in models; (4) uncertainty analysis; and (5) integrated catchment modelling for ecosystem service management. It is concluded that there is room for further advances in hydrological data analysis, sensitivity and uncertainty analysis methods and modelling frameworks, but progress will also depend on continuing and strengthened commitment to long-term monitoring and inter-disciplinarity in defining and delivering land use impacts research.
机译:农村土地使用在减轻洪灾风险和保护供水方面的潜在作用仍然引起监管者和规划者的极大兴趣。但是,水文学家量化农村土地利用变化对水循环的影响的能力是有限的,我们无法提供始终如一的可靠证据来支持规划和政策决策。这种缺点主要是由于缺乏数据,也由于缺乏建模方法和工具。过去几年中,许多研究项目都在尝试解决潜在的挑战。本文描述了这些挑战,重要的进展领域和建模创新,并提出了进一步研究的重点。本文分为五个相互关联的子主题:(1)基于证据的建模; (2)扩大规模以最大程度地利用过程知识和基于物理的模型; (3)在模型中表示水文连通性; (4)不确定性分析; (5)用于生态系统服务管理的集水区综合模型。结论是,水文数据分析,敏感性和不确定性分析方法和建模框架还有进一步的发展空间,但进展还取决于对确定和传递土地利用影响的长期监测和跨学科性的持续和加强承诺。研究。

著录项

  • 来源
    《Nordic hydrology》 |2014年第6期|737-754|共18页
  • 作者单位

    Department of Civil and Environmental Engineering, Imperial College, London SW7 2AZ, UK,Centre for Water in the Minerals Industry, Sustainable Minerals Institute, The University of Queensland, Brisbane, QLD 4072, Australia;

    Aqualinc Research Ltd, 11 Deans Avenue, Christchurch 8011, New Zealand;

    School of Civil, Structural and Environmental Engineering, Newstead Building, University College Dublin, Belfield, Dublin 4, Ireland;

    Department of Civil and Environmental Engineering, Imperial College, London SW7 2AZ, UK;

    Department of Civil and Environmental Engineering, Imperial College, London SW7 2AZ, UK,Grantham Institute for Climate Change, Imperial College, London SW7 2AZ, UK;

    College of Engineering, Swansea University, Swansea SA2 8PP, UK;

    The James Hutton Institute, Aberdeen AB15 8QH, UK;

    Karlsruhe Institute of Technology (KIT), Karlsruhe, Kaiserstrasse 12, 76131, Germany;

    School of Civil Engineering & Geosciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK;

    Institute for Water Problems, Russian Academy of Sciences, Moscow 119333, Russia;

    Cranfield Water Science Institute, Cranfield University, Cranfield MK43 0AL, UK;

    Institute for Water Research, Rhodes University, 6140 Grahamstown, South Africa;

    School of Geography, Environment and Earth Sciences, Victoria University of Wellington, PO Box 600, Wellington, New Zealand;

    Centre for Ecology and Hydrology, Wallingford OX10 8BB, UK;

    UFZ Helmholtz Centre for Environmental Research, Department of Catchment Hydrology, D-06120 Halle, Germany;

    College of Engineering, Swansea University, Swansea SA2 8PP, UK;

    School of Civil Engineering & Geosciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK;

    School of Civil Engineering & Geosciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK;

    University of Paris 6, Centre National de la Recherche Scientifique, UMR Sisyphe 7619, F-75252 Paris, France;

    Department of Earth and Geoenvironmental Science, University of Bologna, I-40126 Bologna, Italy;

    Department of Civil and Environmental Engineering, Pennsylvania State University, University Park, PA 16802, USA Department of Civil Engineering, University of Bristol, Bristol BS8 1TR, UK;

    Global Institute for Water Security, University of Saskatchewan, National Hydrology Research Centre, Saskatoon SK S7N 3H5, Canada;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    floods; land cover; land management; models; non-stationarity; scenarios;

    机译:洪水土地覆盖;土地管理;楷模;非平稳性;情景;
  • 入库时间 2022-08-18 03:34:23

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