Land use and land cover influence on water quality in the last free-flowing river draining the western Sierra Nevada, California

Ahearn, Dylan S.; Sheibley, Richard W.; Dahlgren, Randy A.; Anderson, Michael L.; Johnson, J. Kent; Tate, Kenneth W.

doi:10.1016/j.jhydrol.2005.02.038

Cited by 376 publications

(254 citation statements)

References 35 publications

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“…The IN and GR variables fell out of the OLS models while PD maintained a significant positive correlation with COD and NH 4 + -N, similar to the findings of Ahearn et al (2005). These results can be considered as a reflection of the fact that urban land percentage and PD are different metrics of human habitation (Baker, 2003).…”

Section: Variable Selectionsupporting

confidence: 74%

“…As an important regulator of pollutants in overland flow and interflow, land use/land cover has become a critical research topic for elucidating the relationship between surface water quality and non-point source pollutants. Several statistical methods are widely used in these studies, such as correlation analysis, cluster analysis, principal component analysis, linear regression models, linear mixed effects models and exponential models Wan et al, 2014;Chen and Lu, 2014;Seeboonruang, 2012;Ahearn et al, 2005;Madrinan et al, 2012). Previous results often show that land-use types closely related to human activities, such as agriculture and urban, were positively correlated with river pollution indicators (e.g., nitrogen, phosphorus, ammonia), while woodlands and grasslands that were less affected by human activities had negative correlations.…”

Section: Introductionmentioning

confidence: 99%

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Impacts of land use and population density on seasonal surface water quality using a modified geographically weighted regression

Chen

Mei

Dahlgren

et al. 2016

Science of The Total Environment

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168

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• The modified GWR models had higher R 2 and reflected the actual spatial features.• A manual variable excluding-selecting method is explored to avoid multicollinearity.• Influences of the dominant indicator on water quality varied with space and seasons.• Protection policies need consider sitespecific conditions and seasonal variations. G R A P H I C A L A B S T R A C Ta b s t r a c t a r t i c l e i n f o 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 quality and pollution sources. This study investigated the use of ordinary least squares (OLS) and geographically weighted regression (GWR) models to identify the impact of land use and population density on surface water quality in the Wen-Rui Tang River watershed of eastern China. A manual variable excluding-selecting method was explored to resolve multicollinearity issues. Standard regression coefficient analysis coupled with cluster analysis was introduced to determine which variable had the greatest influence on water quality. Results showed that: (1) Impact of land use on water quality varied with spatial and seasonal scales. Both positive and negative effects for certain land-use indicators were found in different subcatchments. (2) Urban land was the dominant factor influencing N, P and chemical oxygen demand (COD) in highly urbanized regions, but the relationship was weak as the pollutants were mainly from point sources. Agricultural land was the primary factor influencing N and P in suburban and rural areas; the relationship was strong as the pollutants were mainly from agricultural surface runoff. Subcatchments located in suburban areas were identified with urban land as the primary influencing factor during the wet season while agricultural land was identified as a more prevalent influencing factor during the dry season. (3) Adjusted R 2 values in OLS models using the manual variable excluding-selecting method averaged 14.3% higher than using stepwise multiple linear regressions. However, the corresponding GWR models had adjusted R 2~5 9.2% higher than the optimal OLS models, confirming that GWR models demonstrated better prediction accuracy. Based on our findings, water resource protection policies should consider site-specific land-use Contents lists available at ScienceDirectScience of the Total Environment j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / s c i t o t e n v conditions within each watershed to optimize mitigation strategies for contrasting land-use characteristics and seasonal variations.

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Section: Variable Selectionsupporting

confidence: 74%

Section: Introductionmentioning

confidence: 99%

Impacts of land use and population density on seasonal surface water quality using a modified geographically weighted regression

Chen

Mei

Dahlgren

et al. 2016

Science of The Total Environment

Self Cite

168

View full text Add to dashboard Cite

show abstract

“…precipitation inputs, erosion, and weathering) and the anthropogenic activities via point sources, such as industrial effluents and wastewater treatment facilities, and diffuse, such as runoffs from farming land and urban area (Ahearn et al, 2005;Li et al, 2009). On this sense, Seeboonruang (2012) and Su et al (2015) found that different land use types and spatial patterns greatly affect water quality.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impact of Land Use and Land Cover on Water Quality in the Watershed of a Reservoir

Bonansea¹,

Ledesma²,

Rodríguez³

2016

Appl Ecol Env Res

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Abstract. Natural forest of Río Tercero watershed (Argentina) was replaced by urban expansion and agricultural activities causing negative impacts in water quality of Río Tercero reservoir. This paper classifies land use and land cover (LULC) in the watershed, trying to find a relationship with nutrient loads of the reservoir's tributaries. Each tributary was analysed during 2006 bimonthly for physicochemical variables. LULC was determined using a Landsat 5 TM image. Statistical analyses were carried out to identify relationships between water quality and LULC. Results suggest that urban and agricultural activities are the primary driving forces behind the variations in nutrient loads measured in tributaries. Sub-watershed most affected by human activities displayed the highest values of nutrient loads. If agricultural and urban activities continue to increase, water quality at watershed scale will decline. It is recommended the development of a global approach management plan at a watershed scale.

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“…O aumento na concentração de sedimentos em suspensão observado por Cassiano (2013) pode ser consequência do movimento do solo ocasionado pelo manejo agrícola. Uma relação positiva entre a quantidade de sedimentos em suspensão em riachos e áreas aradas em bacias hidrográfi cas foi observada por Naden e Cooper (1999), o que signifi ca que a quantidade de sedimento em suspensão relaciona-se diretamente com as áreas agrícolas (AHEARN et al, 2005).…”

Section: áGua Dos Riachos Da Bacia Do Rio Corumbataíunclassified

Métodos e técnicas de pesquisa em bacias hidrográficas

Moraes¹,

Lorandi²

2016

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Land use and land cover influence on water quality in the last free-flowing river draining the western Sierra Nevada, California

Cited by 376 publications

References 35 publications

Impacts of land use and population density on seasonal surface water quality using a modified geographically weighted regression

Impacts of land use and population density on seasonal surface water quality using a modified geographically weighted regression

Assessing the Impact of Land Use and Land Cover on Water Quality in the Watershed of a Reservoir

Métodos e técnicas de pesquisa em bacias hidrográficas

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