Assessment of the impacts of landscape patterns on water quality in Trondheim rivers and Fjord, Norway

Abstract

Due to the impacts of hydrological and ecological processes on water quality, discharges from upstream catchments have induced significant pollution to the recipients. This study aims to investigate the possible pollution sources from catchments with different types of land use and landscape patterns and develop the relationships between water quality and the catchment hydro-geological and environmental variables. Data from 10 monitoring sites in Trondheim formulated the basis of the case study. Thermotolerant coliform bacteria (TCB) and total phosphorus (TP) were applied as main indicators to represent the water quality in the recipient rivers, streams and in Trondheim Fjord. Based on the GIS-oriented spatial analysis, 15 hydro-geographical and landscape parameters were selected as explanatory variables. Multiple linear regression (MLR) models were developed at catchment and river reach scales to study correlations between the explanatory variables and the response variables, TCB and TP, in rain and snow seasons. The study showed that the spatial landscape patterns resulted in differences in the concentrations of TCB and TP in the recipients. The agricultural land was shown to be the main pollution source, leading to a higher concentration of TP in streams. Buildings, roads, and other impervious areas have induced an increase in both TCB and TP. In contrast, the forest areas, lakes, river density and steep river slopes were shown to have capacity to filter incoming P-rich runoff, thus prevent pollutant conveyance and accumulation in recipients. HIGHLIGHTS A GIS-based topographical and landscape analysis was performed.; The composition and configuration of the landscape were analysed. Fifteen indicators were selected as explanatory variables.; MLR models were developed to study the relations between landscape variables and water quality indicator TCB and TP.; The agricultural land was shown to be the main pollution source.; TP is more sensitive to land use and landscape patterns than TCB.;

Keywords

• landscape pattern
• gis
• mlr model
• thermotolerant coliform bacteria (tcb) and total phosphorus (tp)
• water quality