Impact of Land Use Change on Non-Point Source Pollution in a Semi-Arid Catchment under Rapid Urbanisation in Bolivia
Changes in pollution pressure exerted on the Rocha River in Bolivia from diffuse sources were assessed using potential non-point pollution indexes (PNPI) for 1997 and 2017. PNPI is a simple, low-effort, time- and resource-saving method suitable for data-scarce regions, as it works at catchment level...
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doaj-aab69106c80044b7bc9caba4a58741462021-02-05T00:06:09ZengMDPI AGWater2073-44412021-02-011341041010.3390/w13040410Impact of Land Use Change on Non-Point Source Pollution in a Semi-Arid Catchment under Rapid Urbanisation in BoliviaBenjamin Gossweiler0Ingrid Wesström1Ingmar Messing2Mauricio Villazón3Abraham Joel4Center for Aerospace Surveys and Geographic Information Systems Applications for the Sustainable Development of Natural Resources, San Simon University, P.O. Box 5294, Cochabamba, BoliviaDepartment of Soil and Environment, Swedish University of Agricultural Sciences, P.O. Box 7014, SE-750 07 Uppsala, SwedenDepartment of Soil and Environment, Swedish University of Agricultural Sciences, P.O. Box 7014, SE-750 07 Uppsala, SwedenLaboratorio de Hidráulica, San Simon University, P.O. Box 1832, Cochabamba, BoliviaDepartment of Soil and Environment, Swedish University of Agricultural Sciences, P.O. Box 7014, SE-750 07 Uppsala, SwedenChanges in pollution pressure exerted on the Rocha River in Bolivia from diffuse sources were assessed using potential non-point pollution indexes (PNPI) for 1997 and 2017. PNPI is a simple, low-effort, time- and resource-saving method suitable for data-scarce regions, as it works at catchment level with commonly available geographical data. Land use type (obtained by Landsat imagery classification), runoff (determined by runoff coefficient characterisation) and distance to river network (calculated at perpendicular distance) were each transformed into corresponding indicators to determine their relative importance in generating pollution. Weighted sum, a multi-criteria analysis tool in the GIS environment, was used to combine indicators with weighting values. Different weighting values were assigned to each of the indicators resulting in a set of six equations. The results showed that higher PNPI values corresponded to human settlements with high population density, higher runoff values and shorter distance to river network, while lower PNPI values corresponded to semi-natural land use type, lower runoff coefficient and longer distances to river. PNPI values were positively correlated with measured nitrate and phosphate concentrations at six sub-catchment outlets. The correlation was statistical significant for phosphate in 2017. Maps were produced to identify priority source areas that are more likely to generate pollution, which is important information for future management.https://www.mdpi.com/2073-4441/13/4/410potential non-point pollution indexRocha Riverwater quality degradationurbanisationland use indicatorrunoff indicator |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Benjamin Gossweiler Ingrid Wesström Ingmar Messing Mauricio Villazón Abraham Joel |
spellingShingle |
Benjamin Gossweiler Ingrid Wesström Ingmar Messing Mauricio Villazón Abraham Joel Impact of Land Use Change on Non-Point Source Pollution in a Semi-Arid Catchment under Rapid Urbanisation in Bolivia Water potential non-point pollution index Rocha River water quality degradation urbanisation land use indicator runoff indicator |
author_facet |
Benjamin Gossweiler Ingrid Wesström Ingmar Messing Mauricio Villazón Abraham Joel |
author_sort |
Benjamin Gossweiler |
title |
Impact of Land Use Change on Non-Point Source Pollution in a Semi-Arid Catchment under Rapid Urbanisation in Bolivia |
title_short |
Impact of Land Use Change on Non-Point Source Pollution in a Semi-Arid Catchment under Rapid Urbanisation in Bolivia |
title_full |
Impact of Land Use Change on Non-Point Source Pollution in a Semi-Arid Catchment under Rapid Urbanisation in Bolivia |
title_fullStr |
Impact of Land Use Change on Non-Point Source Pollution in a Semi-Arid Catchment under Rapid Urbanisation in Bolivia |
title_full_unstemmed |
Impact of Land Use Change on Non-Point Source Pollution in a Semi-Arid Catchment under Rapid Urbanisation in Bolivia |
title_sort |
impact of land use change on non-point source pollution in a semi-arid catchment under rapid urbanisation in bolivia |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2021-02-01 |
description |
Changes in pollution pressure exerted on the Rocha River in Bolivia from diffuse sources were assessed using potential non-point pollution indexes (PNPI) for 1997 and 2017. PNPI is a simple, low-effort, time- and resource-saving method suitable for data-scarce regions, as it works at catchment level with commonly available geographical data. Land use type (obtained by Landsat imagery classification), runoff (determined by runoff coefficient characterisation) and distance to river network (calculated at perpendicular distance) were each transformed into corresponding indicators to determine their relative importance in generating pollution. Weighted sum, a multi-criteria analysis tool in the GIS environment, was used to combine indicators with weighting values. Different weighting values were assigned to each of the indicators resulting in a set of six equations. The results showed that higher PNPI values corresponded to human settlements with high population density, higher runoff values and shorter distance to river network, while lower PNPI values corresponded to semi-natural land use type, lower runoff coefficient and longer distances to river. PNPI values were positively correlated with measured nitrate and phosphate concentrations at six sub-catchment outlets. The correlation was statistical significant for phosphate in 2017. Maps were produced to identify priority source areas that are more likely to generate pollution, which is important information for future management. |
topic |
potential non-point pollution index Rocha River water quality degradation urbanisation land use indicator runoff indicator |
url |
https://www.mdpi.com/2073-4441/13/4/410 |
work_keys_str_mv |
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