2013
DOI: 10.1007/s12665-013-2400-5
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Groundwater flow model of the Pipiripau watershed, Federal District of Brazil

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Cited by 10 publications
(4 citation statements)
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“…we infer that the water supply is largely dependent on rainfall as interflow rather than water table percolation (Arno et al, 1998;Jeelani et al, 2010;Goncalves et al, 2013). to indigenous geology and from also anthropogenic contamination due mainly to the absence of maintenance (Kim et al, 1977;Yun and Jeong, 1983;Jeong et al, 2002;Kim et al, 2008).…”
Section: Data Collectionmentioning
confidence: 90%
“…we infer that the water supply is largely dependent on rainfall as interflow rather than water table percolation (Arno et al, 1998;Jeelani et al, 2010;Goncalves et al, 2013). to indigenous geology and from also anthropogenic contamination due mainly to the absence of maintenance (Kim et al, 1977;Yun and Jeong, 1983;Jeong et al, 2002;Kim et al, 2008).…”
Section: Data Collectionmentioning
confidence: 90%
“…Assessment results, especially in terms of sediment retention, may not appropriately reflect the problems of degraded water resources that have been identified in other reports/studies (e.g. CAESB, Environmental Sanitation Company of the Federal District 2001; Felizola et al 2001;Fortes et al 2007;Goncalves et al 2013;Lorz et al 2012a,b). In the case study region, water resources might be threatened more by LULCC changes that cannot be detected by commonly available data sets because of their small spatial extent or temporal occurrence which makes their mapping challenging.…”
Section: Lulcc Scenariosmentioning
confidence: 90%
“…The Goncalves et al (2013) pointed out that in the coming years, population growth and excessive use of pesticides and irrigation practices may (further) reduce the amount and quality of water resources of the case study region. With respect to question three, the scenario results can therefore play an important role in the IWRM to inform people on the effects of LULCC, to initiate discussion among land managers in participatory processes, and to find best-practice land use patterns with accepted trade-offs.…”
Section: Lulcc Scenariosmentioning
confidence: 99%
“…Simulated and measured hydraulic heads fit better in the fine soil plain area, with an error between 0.2 and 1.5 m. The error is mainly caused by heterogeneity and anisotropy in the lithology. Leakage flow in the aquitard increases the vertical flow to a certain degree 23 . Table 2 shows calculation errors for the six typical boreholes (observation wells), which are evenly distributed along the profile (Figure 1).…”
Section: Groundwater Level Calibrationmentioning
confidence: 99%