城市绿色雨水基础设施的蒸散模拟:水文模型敏感性分析和校准策略的重要性

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ahmeda Assann Ouédraogo, Emmanuel Berthier, Jérémie Sage, Marie-Christine Gromaire
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引用次数: 0

摘要

蒸散发(ET)对城市径流管理、绿色雨水基础设施(GSI)的冷却效率和植被恢复能力至关重要。本研究调查了在HYDRUS-1D中实施的常用水文ET方案在法国巴黎地区的GSI(包括绿色屋顶(GRs)和雨水花园(RGs))中精确复制ET通量的能力。Sobol敏感性分析方法的应用表明,植被高度和气孔阻力是Penman-Monteith潜在蒸散发计算的关键因素,而底物保水参数是实际蒸散发模拟的关键参数。土壤覆盖度、厌氧阶段的基质压头和截留参数也会影响ET。使用广泛的数据集(含水量、ET、排水)进行校准表明,与基质较薄的GRs和RG设置相比,基质较厚的GRs的模型精度更高。排水校准确保长期蒸散发模拟的准确性,而建议在长时间干旱期间使用含水量或蒸散发观测值进行校准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling evapotranspiration in urban green stormwater infrastructures: Importance of sensitivity analysis and calibration strategies with a hydrological model
Evapotranspiration (ET) is crucial for urban runoff management, the cooling efficiency of green stormwater infrastructure (GSI), and vegetation resilience. This research investigates the ability of a commonly used hydrological ET scheme, implemented in HYDRUS-1D, to accurately replicate ET fluxes within GSI, including green roofs (GRs) and rain gardens (RGs), in the Paris region, France. Application of the Sobol sensitivity analysis method indicates that, vegetation height and stomatal resistance are key elements in Penman-Monteith potential ET calculations, while substrate water retention parameters are essential for actual ET simulations. Soil cover fraction, substrate pressure head during the anaerobic phase, and interception parameter also influence ET. Calibration using extensive datasets (water content, ET, drainage) demonstrates improved model accuracy for GRs with thicker substrates compared to those with thinner substrates and for RG setups. Drainage calibration ensures long-term ET simulation accuracy, while calibration with water content or ET observations is recommended during prolonged dry periods.
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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