Modeling the Linkage Between River Water Quality and Landscape Metrics in the Chugoku District of Japan |
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Authors: | Bahman Jabbarian Amiri Kaneyuki Nakane |
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Affiliation: | (1) Division of Environmental Dynamics and Management, Graduate School of Biosphere Science, Hiroshima University, 1-7-1 Kagamiyama, Higashi-Hiroshima 739-8521, Japan |
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Abstract: | The present study was conducted using secondary database, remote sensing, geographical information system (GIS) and multivariate
analysis tools in order to develop Multiple Linear Regression (MLR) models that could be able to predict level of water quality
variables using compositional and spatial attributes of land cover in the river basins. The study encompasses 21 river basins
with 32 000 Km2 area, located in the Chugoku district in West Japan. Biological Oxygen Demand (BOD), pH, Dissolved Oxygen (DO), Suspended
Solid (SS), Total Nitrogen (TN), and Total Phosphorus (TP) were considered as water quality variables of the stream. Satellite
data was used to generate the land cover map of the study area. MLR models were developed using the compositional (%) and
spatial attributes (landscape metrics) of the land cover at watershed and class levels for representing the land cover-stream
water quality linkage. The results of the MLR modeling using the land cover data at the class level revealed that 92%, 74%
and 62% of the total variations in concentration of DO, pH and TP were explained by changes in the measure of the spatial
attributes of the land cover at the class level in the study area. These models can help local and regional land managers
to understand the relationships between the compositional attribute (%) and the spatial features of the land cover and river
water quality and would be applied in formulating plan for watershed-level management. |
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Keywords: | Land cover Water quality Landscape Modeling |
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