2013
DOI: 10.1016/j.jhydrol.2013.01.030
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Understanding processes governing water quality in catchments using principal component scores

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Cited by 61 publications
(29 citation statements)
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“…These indicators commonly identify processes related to human disturbances such as farming, erosion, and movement of suspended materials and contaminants into rivers [46]. In our analysis, the changes in EC, TDS, and salinity ( Figure 2) to high spikes at sites 13,14,15,29,36 correspond to zones of increased pollutant discharge into river system from adjoining land activities. At sites 13 and 14, snowpea farming by SSHORT intensive farmers was observed, often occurring on stream edges.…”
Section: Electrical Conductivity (Ec) Total Dissolved Solids (Tds) mentioning
confidence: 87%
See 1 more Smart Citation
“…These indicators commonly identify processes related to human disturbances such as farming, erosion, and movement of suspended materials and contaminants into rivers [46]. In our analysis, the changes in EC, TDS, and salinity ( Figure 2) to high spikes at sites 13,14,15,29,36 correspond to zones of increased pollutant discharge into river system from adjoining land activities. At sites 13 and 14, snowpea farming by SSHORT intensive farmers was observed, often occurring on stream edges.…”
Section: Electrical Conductivity (Ec) Total Dissolved Solids (Tds) mentioning
confidence: 87%
“…These techniques not only facilitate the analysis and interpretation of intricate water quality data [25,28,29], but also allow for an in-depth understanding of the prevailing surface water quality and the detection of source processes influencing water systems.…”
Section: Introductionmentioning
confidence: 99%
“…The two analytical data sets of both kettle holes were merged by averaging the μXRF data (RG 1 , KR 1 ) within the respective 1-cm layers. Merging data from different sites is quite common in hydrology and geochemistry (Selle et al 2013) and results in adding information compared to performing a separate analysis for each data set, thus better disentangling the site-specific peculiarities. To achieve equal weighting of the different variables irrespective of the different ranges and variances of values, the data were normalized to zero mean and unit variance for each variable.…”
Section: Principal Component Analysismentioning
confidence: 99%
“…Muschelkalk limestone formation which forms the main karstified aquifer (Selle et al, 2013). In this catchment, annual precipitation is 700-800 mm.…”
Section: Study Areamentioning
confidence: 98%