Multi-scale analysis of relationship between landscape pattern and urban river water quality in different seasons

Abstract

Water quality is highly dependent on the landscape characteristics. In this study, we investigated the relationships between water quality and landscape pattern (composition and configuration) in Huzhou City, China. The water quality variables, including pH, dissolved oxygen (DO), chemical oxygen demand (CODMn), Biochemical Oxygen Demand (BOD), NH3-N, petroleum, dissolved total phosphorus (DTP), and total nitrogen (TN) in low water, normal water and flood periods were identified by investigating 34 sampling sites in Huzhou City during the period from 2001 to 2007. Landscape composition and landscape configuration metrics were calculated for different scales. It was found that scales and seasons both play important role when analyzing the relationships between landscape characteristics of different land use types. The results implied that some water quality parameters such as CODMn, petroleum are more polluted in flood period than the other two seasons at different scales, while DTP and TN are more polluted in low water period. Influences of different landscape metrics on water quality should operate at different spatial scales. The results shown in this paper will effectively provide scientific basis for the policy making in sustainable development of water environment.

Land use mediates riverine nitrogen export under the dominant influence of human activities

“…The land use composition within each of these buffer widths was calculated for analysis. We took a circular area surrounding the measurement point and determined the land use composition within different buffer zone widths to the specific monitoring point (Guo et al 2009, Xiao et al 2016. Annual mean water quality indicators were calculated for the analysis of the relationship between land use composition and water quality.…”

How Do Terrestrial Determinants Impact the Response of Water Quality to Climate Drivers?—An Elasticity Perspective on the Water–Land–Climate Nexus

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“…However, the median value was convincing enough and representative of the given water-climate system for a macroscale study, when the trends were not significantly large. Results of trend analysis at the Mekong, Murray and Yukon, watersheds are shown on independent variables which make the strongest linkage with precipitation and temperature elasticity of water quality parameters [47]. Correlation and SMLR gave an idea about linear relations.…”

“…Pearson's correlation and stepwise multiple linear regression (SMLR) was used to make associations of anthropogenic biomes and surficial geology with CEWQ. The main purpose of SMLR analysis was to search independent variables which make the strongest linkage with precipitation and temperature elasticity of water quality parameters [47]. Correlation and SMLR gave an idea about linear relations.…”

Geotechnology in the analysis of forest fragments in northern Mato Grosso, Brazil

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