Related Experiment Video
Updated: Jul 16, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
A spatial-statistical approach for modeling the effect of non-point source pollution on different water quality
Philippe Maillard1, Nádia Antônia Pinheiro Santos
1Departamento de Cartografia, Universidade Federal de Minas Gerais, Av. Antônio Carlos 6627, Belo Horizonte, Minas Gerais 31270-901, Brazil. philippe@cart.igc.ufmg.br
Abstract:
In this article, a methodology for evaluating the effect of land use/land cover on the quality of nearby stream water in a semiarid environment is described and tested on a large watershed in Southeastern Brazil. The approach aims at identifying the width of the riparian area having the strongest effect on different water quality parameters. The land use/land cover data were generated from remotely sensed data while water quality point data were supplied by a government agency. Testing was conducted for both the rainy and dry seasons in an effort to understand the direct effect of surface runoff. The approach combines cartographic modelling using a geographical information system (GIS) and statistics to establish the strength of the relationship between water quality, land use and the distance from the stream. Results suggest a strong relationship between land use/land cover and turbidity, nitrogen and fecal coliforms. They also suggest that each of these parameters has a unique behavior when distance from the stream is considered. Finally, although it was expected that the models would apply better during the wet season, some parameters had the opposite behavior and displayed a better fit during the dry season.
More Related Videos
11:53Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
07:53Bioindication Testing of Stream Environment Suitability for Young Freshwater Pearl Mussels Using In Situ Exposure Methods
Published on: September 5, 2018
Related Concept Videos
Quality of Water
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Linear Approximations
Testing Water Quality
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Statistical Methods for Analyzing Epidemiological Data