<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>Development of any area often leads to more intensive land use and increase in the generation of pollutants. Modeling these changes is critical to evaluate emerging changes in land use and their effect on stream water quality. The objective of this study was to assess the impact of spatial patterns in land use and population density on the water quality of streams, in case of data scarcity, in the Chugoku district of Japan. The study employed artificial neural network (ANN) technique to assess the relationship between the total phosphorous (TP) in river water and the land use in 21 river basins in the district, and the model was able to reasonably estimate the TP in the stream water. Uncertainty analysis of ANN estimates was performed using the Monte Carlo framework, and the results indicated that the ANN model predictions are statistically similar to the characteristics of the measured TP values. It was observed that any reduction in forested area or increase in agricultural land in the watersheds may cause the increase of TP concentration in the stream. Therefore, appropriate watershed management practices should be followed before making any land use change in the Chugoku district.</p></abstract>

Development of any area often leads to more intensive land use and increase in the generation of pollutants. Modeling these changes is critical to evaluate emerging changes in land use and their effect on stream water quality. The objective of this study was to assess the impact of spatial patterns in land use and population density on the water quality of streams, in case of data scarcity, in the Chugoku district of Japan. The study employed artificial neural network (ANN) technique to assess the relationship between the total phosphorous (TP) in river water and the land use in 21 river basins in the district, and the model was able to reasonably estimate the TP in the stream water. Uncertainty analysis of ANN estimates was performed using the Monte Carlo framework, and the results indicated that the ANN model predictions are statistically similar to the characteristics of the measured TP values. It was observed that any reduction in forested area or increase in agricultural land in the watersheds may cause the increase of TP concentration in the stream. Therefore, appropriate watershed management practices should be followed before making any land use change in the Chugoku district.

Linkage Between In-Stream Total Phosphorus and Land Cover in Chugoku District, Japan: An Ann Approach

Department of Environmental Science, Faculty of Natural Resources, University of Tehran, Karaj, P. O. Box: 4314, Iran

Department of Hydrology and Water Resources Management, Ecology Centre, Institute of Nature Protection and Water Resources Management, Christian Albrecht Universität zu Kiel, Olshausenstrasse 75, Geb. I, 24118 Kiel, Germany

Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600036, India

Journal of Hydrology and Hydromechanics

Development of any area often leads to more intensive land use and increase in the generation of pollutants. Modeling these changes is critical to evaluate...

Linkage Between In-Stream Total Phosphorus and Land Cover in Chugoku District, Japan: An Ann Approach

Online veröffentlicht: 06. März 2012

Seitenbereich: 33 - 44

DOI: https://doi.org/10.2478/v10098-012-0003-6

Schlüsselwörter
modelovanie kvality vody, využívanie krajiny, celkový obsah fosforu, ANN, analýza neurčitosti

This content is open access.

Linkage Between In-Stream Total Phosphorus and Land Cover in Chugoku District, Japan: An Ann Approach

Online veröffentlicht: 06. März 2012

Seitenbereich: 33 - 44

DOI: https://doi.org/10.2478/v10098-012-0003-6

Schlüsselwörtermodelovanie kvality vody, využívanie krajiny, celkový obsah fosforu, ANN, analýza neurčitosti

This content is open access.

Schlüsselwörter
modelovanie kvality vody, využívanie krajiny, celkový obsah fosforu, ANN, analýza neurčitosti