Land use/land cover water quality nexus: quantifying anthropogenic influences on surface water quality

2015 ◽  
Vol 187 (7) ◽  
Author(s):  
Cyril O. Wilson
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Surface Water ◽  
Land Cover ◽  
Surface Water Quality ◽  
Anthropogenic Influences ◽  
Land Use Land Cover

scholarly journals Surface Water Quality Response to Land Use Land Cover Change in an Urbanizing Catchment: A Case of Upper Chongwe River Catchment, Zambia

2021 ◽  
Vol 13 (05) ◽  
pp. 578-602
Author(s):  
Alick Nguvulu ◽  
Agabu Shane ◽  
Claude S. Mwale ◽  
Tewodros M. Tena ◽  
Phenny Mwaanga ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Surface Water ◽  
Land Cover ◽  
Land Cover Change ◽  
Surface Water Quality ◽  
Land Use Land Cover ◽  
River Catchment ◽  
Quality Response

scholarly journals Influence of Land Use/Land Cover on Surface-Water Quality of Santa Lucía River, Uruguay

2020 ◽  
Vol 12 (11) ◽  
pp. 4692 ◽  
Author(s):  
Angela Gorgoglione ◽  
Javier Gregorio ◽  
Agustín Ríos ◽  
Jimena Alonso ◽  
Christian Chreties ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Cluster Analysis ◽  
Surface Water ◽  
Land Cover ◽  
Winter Season ◽  
Surface Water Quality ◽  
Well Being ◽  
Land Use Land Cover ◽  
Water Quality Variables

Land use/land cover is one of the critical factors that affects surface-water quality at catchment scale. Effective mitigation strategies require an in-depth understanding of the leading causes of water pollution to improve community well-being and ecosystem health. The main aim of this study is to assess the relationship between land use/land cover and biophysical and chemical water-quality parameters in the Santa Lucía catchment (Uruguay, South America). The Santa Lucía river is the primary potable source of the country and, in the last few years, has had eutrophication issues. Several multivariate statistical analyses were adopted to accomplish the specific objectives of this study. The principal component analysis (PCA), coupled with k-means cluster analysis (CA), helped to identify a seasonal variation (fall/winter and spring/summer) of the water quality. The hierarchical cluster analysis (HCA) allowed one to classify the water-quality monitoring stations in three groups in the fall/winter season. The factor analysis (FA) with a rotation of the axis (varimax) was adopted to identify the most significant water-quality variables of the system (turbidity and flow). Finally, another PCA was run to link water-quality variables to the dominant land uses of the watershed. Strong correlations between TP and agriculture-land use, TP and livestock farming, NT and urban areas arose. It was found that these multivariate exploratory tools can provide a proper overview of the water-quality behavior in space and time and the correlations between water-quality variables and land use.

Relationship of Land-Use/Land-Cover Patterns and Surface-Water Quality in The Mullica River Basin

2007 ◽  
Vol 43 (3) ◽  
pp. 594-604 ◽  
Author(s):  
Robert A. Zampella ◽  
Nicholas A. Procopio ◽  
Richard G. Lathrop ◽  
Charles L. Dow
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Surface Water ◽  
Land Cover ◽  
River Basin ◽  
Surface Water Quality ◽  
Land Use Land Cover ◽  
Relationship Of

scholarly journals Surface Water Quality Analysis Using CORINE Data: An Application to Assess Reservoirs in Poland

2020 ◽  
Vol 12 (6) ◽  
pp. 979 ◽  
Author(s):  
Magdalena Matysik ◽  
Damian Absalon ◽  
Michał Habel ◽  
Michael Maerker
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Surface Water ◽  
Land Cover ◽  
Catchment Area ◽  
Land Use Land Cover ◽  
Dam Reservoirs ◽  
Catchment Areas ◽  
Depth Analysis

Reservoirs are formed through the artificial damming of a river valley. Reservoirs, among others, capture polluted load transported by the tributaries in the form of suspended and dissolved sediments and substances. Therefore, reservoirs are treated in the European Union (EU) as “artificial” or “heavily modified” surface water bodies. The reservoirs’ pollutant load depends to a large extent on the degree of anthropogenic impact in the respective river catchment area. The purpose of this paper is to assess the mutual relation between the catchment area and the reservoirs. In particular, we focus on the effects of certain land use/land cover on reservoirs’ water quality. For this study, we selected twenty Polish reservoirs for an in-depth analysis using 2018 CORINE Land Cover data. This analysis allowed the identification of the main triggering factors in terms of water quality of the respective reservoirs. Moreover, our assessment clearly shows that water quality of the analysed dam reservoirs is directly affected by the composition of land use/land cover, both of the entire total reservoir catchment areas and the directly into the reservoir draining sub-catchment areas.

Assessing land use and land cover influence on surface water quality using a parametric weighted distance function

Limnologica ◽  
2019 ◽  
Vol 74 ◽  
pp. 28-37 ◽  
Author(s):  
Ana L. Liberoff ◽  
Silvia Flaherty ◽  
Pablo Hualde ◽  
Martín I. García Asorey ◽  
Marilyn L. Fogel ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Surface Water ◽  
Land Cover ◽  
Distance Function ◽  
Surface Water Quality ◽  
Weighted Distance

Combined impact of Climate change and Land use on water quality in the mid-21st century: A modelling study for a highly industrialized stretch of Ganga River

2021 ◽  
Author(s):  
Sneha Santy ◽  
Pradeep Mujumdar ◽  
Govindasamy Bala
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Land Use ◽  
Land Cover ◽  
General Circulation ◽  
General Circulation Models ◽  
Ganga River ◽  
Quality Analysis ◽  
Future Climate Change ◽  
Land Use Land Cover

<p>High industrial discharge, excessive agricultural activities, untreated sewage disposal make the Kanpur region one of the most contaminated stretches of the Ganga river. This study analyses water quality for the combined future climate change and land use land cover scenarios for mid-century for a 238km long Kanpur stretch of Ganga river. Climate change projections from 21 General Circulation Models for the scenarios of RCP 4.5 and RCP 8.5 are considered and Land use Land Cover (LULC) projections are made with QGIS software. Streamflow and water temperature are modelled using the HEC-HMS model and a Water-Air temperature regression model, respectively. Water quality analysis is simulated using the QUAL2K model in terms of nine water quality parameters, dissolved oxygen, biochemical oxygen demand (BOD), ammonia nitrogen, nitrate nitrogen, total nitrogen, organic phosphorus, inorganic phosphorus, total phosphorus and faecal coliform. Climate change impact alone is projected to result in degraded water quality in the future. Combined climate change and LULC change may further degrade water quality, especially at the study area's critical locations. Our study will provide guidance to policymakers to safeguard the Ganga river from further pollution.</p>

Sign in / Sign up

Export Citation Format

Share Document