Water quality and quantity primary data from field campaigns in the Cantareira Water Supply System, period Oct. 2013 - May 2014

DOI

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 semidistributed Soil and Water Assessment Tool (SWAT) model, nitrate, total phosphorous (TP) and sediment were modeled in catchments ranging from 7.2 to 1037 km². These headwaters were eligible areas of the Brazilian payment for ecosystem services (PES) projects in the Cantareira System, which had supplied water to 9 million people in the Sao Paulo metropolitan region. 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.

Supplement to: Taffarello, Denise; Srinivasan, Raghavan; Mohor, Guilherme Samprogna; Guimarães, João Luis Bittencourt; Calijuri, Maria do Carmo; Mendiondo, Eduardo Mario (2018): Modeling freshwater quality scenarios with ecosystem-based adaptation in the headwaters of the Cantareira system, Brazil. Hydrology and Earth System Sciences, 22(9), 4699-4723

Identifier
DOI https://doi.org/10.1594/PANGAEA.892384
Related Identifier https://doi.org/10.5194/hess-22-4699-2018
Related Identifier https://doi.org/10.1080/02508060.2016.1188352
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.892384
Provenance
Creator Taffarello, Denise ORCID logo; Srinivasan, Raghavan ORCID logo; Mohor, Guilherme Samprogna ORCID logo; Guimarães, João Luis Bittencourt; Calijuri, Maria do Carmo ORCID logo; Mendiondo, Eduardo Mario ORCID logo
Publisher PANGAEA
Publication Year 2018
Rights Creative Commons Attribution 3.0 Unported; https://creativecommons.org/licenses/by/3.0/
OpenAccess true
Representation
Resource Type Supplementary Dataset; Dataset
Format text/tab-separated-values
Size 1318 data points
Discipline Earth System Research
Spatial Coverage (-46.359W, -23.232S, -46.152E, -22.827N); Brazil
Temporal Coverage Begin 2013-10-23T00:00:00Z
Temporal Coverage End 2014-05-24T00:00:00Z