Abstract

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.

Keywords

potential non-point pollution index; Rocha River; water quality degradation; urbanisation; land use indicator; runoff indicator; distance indicator

Published in

Water
2021, Volume: 13, number: 4, article number: 410
Publisher: MDPI

SLU Authors

• Gossweiler, Benjamin

  • Department of Soil and Environment, Swedish University of Agricultural Sciences
    
  • University of San Simón (UMSS)

• Wesström, Ingrid

  • Department of Soil and Environment, Swedish University of Agricultural Sciences
    

• Messing, Ingmar

  • Department of Soil and Environment, Swedish University of Agricultural Sciences
    

• Joel, Abraham

  • Department of Soil and Environment, Swedish University of Agricultural Sciences
    

Sustainable Development Goals

Make cities and human settlements inclusive, safe, resilient and sustainable


UKÄ Subject classification

Soil Science
Environmental Sciences
Geosciences, Multidisciplinary


Publication identifier

DOI: https://doi.org/10.3390/w13040410

Permanent link to this page (URI)

https://res.slu.se/id/publ/111127