气候变化领域集成服务门户(CCPortal): Modeling freshwater quality scenarios with ecosystem-based adaptation in the headwaters of the Cantareira system; Brazil

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DOI	10.5194/hess-22-4699-2018
	Modeling freshwater quality scenarios with ecosystem-based adaptation in the headwaters of the Cantareira system; Brazil
	Taffarello D.; Srinivasan R.; Samprogna Mohor G.; Guimarães J.L.B.; Do Carmo Calijuri M.; Mendiondo E.M.
发表日期	2018
ISSN	1027-5606
起始页码	4699
结束页码	4723
卷号	22 期号:9
英文摘要	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 São 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. © 2018 Author(s).
语种	英语
scopus关键词	Behavioral research; Conservation; Decision making; Land use; Rain; River pollution; Runoff; Water quality; Water supply; Water supply systems; Best management practices; Conservation practices; Critical threshold; Land use and land cover; Metropolitan regions; Soil and water assessment tool; Water pollution levels; Water quality simulation; Ecosystems; adaptive management; best management practice; catchment; decision making; ecosystem service; evapotranspiration; headwater; hydrological modeling; hypothesis testing; land cover; land use change; river basin; scenario analysis; soil and water assessment tool; water footprint; water pollution; water quality; Brazil; Sao Paulo [Brazil]
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159921
作者单位	Taffarello, D., São Carlos School of Engineering, University of São Paulo, São Carlos, SP, 13566-590, Brazil; Srinivasan, R., Spatial Science Laboratory, Ecosystem Science and Management Department, Texas A and M University, College Station, TX 77801, United States; Samprogna Mohor, G., São Carlos School of Engineering, University of São Paulo, São Carlos, SP, 13566-590, Brazil, Institute of Earth and Environmental Science, University of Potsdam, Karl-Liebknecht-Str. 24-25, Potsdam, 14476, Germany; Guimarães, J.L.B., Aquaflora Meio Ambiente, Curitiba, PR, 82100-310, Brazil; Do Carmo Calijuri, M., São Carlos School of Engineering, University of São Paulo, São Carlos, SP, 13566-590, Brazil; Mendiondo, E.M., São Carlos School of Engineering, University of São Paulo, São Carlos, SP, 13566-590, Brazil
推荐引用方式 GB/T 7714	Taffarello D.,Srinivasan R.,Samprogna Mohor G.,et al. Modeling freshwater quality scenarios with ecosystem-based adaptation in the headwaters of the Cantareira system; Brazil[J],2018,22(9).
APA	Taffarello D.,Srinivasan R.,Samprogna Mohor G.,Guimarães J.L.B.,Do Carmo Calijuri M.,&Mendiondo E.M..(2018).Modeling freshwater quality scenarios with ecosystem-based adaptation in the headwaters of the Cantareira system; Brazil.Hydrology and Earth System Sciences,22(9).
MLA	Taffarello D.,et al."Modeling freshwater quality scenarios with ecosystem-based adaptation in the headwaters of the Cantareira system; Brazil".Hydrology and Earth System Sciences 22.9(2018).