Water quality improvement is one of the top priorities in the global agenda endorsed by
United Nation. In this review manuscript, a holistic view of water quality degradation such as …

Geographically Weighted Regression (GWR) is increasingly used in spatial analyses of
social and environmental data. It allows spatial heterogeneities in processes and …

Rising food, housing and energy demand of increasing population creates an immense
pressure on water resources, especially on water quality. The water quality around the globe …

Understanding the relationships between land use patterns and water quality in low-order
streams is useful for effective landscape planning to protect downstream water quality. A …

Urban development pattern significantly impacts stream water quality by influencing
pollutant generation, build-up, and wash-off processes. It is thus necessary to understand …

Surface water quality has a vital role in determining the ecological environment, public
health, and social and economic development. This study analyzed the spatial and seasonal …

As an important regulator of pollutants in overland flow and interflow, land use has become
an essential research component for determining the relationships between surface water …

Understanding the spatially varying relationships between landscape pattern and water
quality in the agricultural karst river system is helpful for landscape planning and …

Characterizing landscape patterns is an important analytical step towards understanding the
effects of physical layouts on ecological and social processes. While a continuous …

Comprehensive landscape patterns influence water quality with multiple factors, complex
processes, and scale dependence. However, studies identifying landscape thresholds …