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Modeling freshwater quality scenarios with ecosystem-based adaptation in the headwaters of the Cantareira system, Brazil

机译:基于生态系统的淡水质量情景,巴西Cantareira系统的脑脊中的基于生态系统的适应性

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Although hydrologic models provide hypothesis testing of complex dynamics occurring at catchments, freshwater quality modeling is still incipient at many subtropical headwaters. In Brazil, a?few modeling studies assess freshwater nutrients, limiting policies on hydrologic ecosystem services. This paper aims to compare freshwater quality scenarios under different land-use and land-cover (LULC) change, one of them related to ecosystem-based adaptation (EbA), in Brazilian headwaters. Using the spatially semi-distributed Soil and Water Assessment Tool (SWAT) model, nitrate, total phosphorous (TP) and sediment were modeled in catchments ranging from 7.2 to 1037km2. These headwaters were eligible areas of the Brazilian payment for ecosystem services (PES) projects in the Cantareira water supply system, which had supplied water to 9?million people in the S?o Paulo metropolitan region (SPMR). We considered SWAT modeling of three LULC scenarios: (i)?recent past scenario (S1), with historical LULC in 1990; (ii)?current land-use scenario (S2), with LULC for the period 2010–2015 with field validation; and (iii)?future land-use scenario with PES (S2+EbA). This latter scenario proposed forest cover restoration through EbA following the river basin plan by 2035. These three LULC scenarios were tested with a?selected record of rainfall and evapotranspiration observed in 2006–2014, with the occurrence of extreme droughts. To assess hydrologic services, we proposed the hydrologic service index (HSI), as a?new composite metric comparing water pollution levels (WPL) for reference catchments, related to the grey water footprint (greyWF) and water yield. On the one hand, water quality simulations allowed for the regionalization of greyWF at spatial scales under LULC scenarios. According to the critical threshold, HSI identified areas as less or more sustainable catchments. On the other hand, conservation practices simulated through the S2+EbA scenario envisaged not only additional and viable best management practices (BMP), but also preventive decision-making at the headwaters of water supply systems.
机译:虽然水文模型提供了在集水区中发生的复杂动态的假设检验,但淡水质量建模仍然在许多亚热带的倒数中初始。在巴西,少量建模研究评估淡水营养素,限制了水文生态系统服务的政策。本文旨在比较不同土地利用和陆地覆盖(LULC)变化下的淡水质量方案,其中一个与巴西返波有关的基于生态系统的适应(EBA)。使用空间半分布的土壤和水评估工具(SWAT)模型,硝酸盐,总磷(TP)和沉积物在7.2至1037km2的范围内进行建模。这些返波人员有资格在Cantareira供水系统中符合巴西的Barazilian支付地区,该项目在Cantareira供水系统中为9?Maulo Metropolitan Region(SPMR)提供了9亿人。我们考虑了三个LULC场景的SWAT建模:(i)?近期过去的情景(S1),1990年与历史LULC; (ii)?目前的土地使用情况(S2),Lulc为2010 - 2015年期间,现场验证;和(iii)?未来的土地使用场景与PES(S2 + EBA)。后一种情景在2035年之前通过河流河河流计划后通过EBA提出了森林覆盖恢复。这三个LULC情景是用的?在2006 - 2014年观察到的降雨和蒸散术记录,随着极端干旱的发生。为了评估水文服务,我们提出了水文服务指数(HSI),作为一种新的综合度量比较水污染水平(WPL)的参考集群,与灰水占地面积(Greywf)和水产量有关。一方面,在LULC情景下,允许在空间尺度下区分Greywf的水质模拟。根据临界阈值,HSI确定了较少或更可持续集水区的区域。另一方面,通过S2 + EBA情景模拟的保护实践不仅设想了额外和可行的最佳管理实践(BMP),还设想了供水系统的返波中的预防性决策。

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