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

Surface Water Quality Response to Land Use Land Cover Change in an Urbanizing Catchment: A Case of Upper Chongwe River Catchment, Zambia
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摘要 The Upper Chongwe River Catchment has recently been overexploited for water resources with increased complaints by various water users about the deteriorating quality of surface water within the sub-catchment. This study was motivated by the need to investigate and understand the response of surface water quality to land use land cover (LULC) change due to urbanization. Water samples, collected at 9 sampling sites from 2006 to 2017, were analyzed for water quality using the weighted arithmetic water quality index and trend using the Mann-Kendall statistics. LULC change is detected and analyzed in ERDAS Imagine 2014 and ArcGIS 10.4 using 2006 Landsat 5 TM and 2017 Landsat 8 OLI imageries. The relationship between LULC change and water quality was performed with multiple regression analysis and Pearson correlation. The results reveal that Built-up area, Grassland and surface water increased by 5.48%, 13.34% and 0.03% respectively while Agricultural land and Forest Land decreased by <span style="white-space:nowrap;">&minus;</span>13.41% and <span style="white-space:nowrap;">&minus;</span>5.42% respectively. The water quality index ranged from 43.04 to 110.40 in 2006 and from 170 to 430 in 2017 indicating a deterioration in the quality of surface water from good to unsuitable for drinking at all the sampled sites. Built-up/bare lands exhibited a significant positive correlation with EC (<em>R<sup>2</sup></em> = 0.61, p ≤ 0.05), turbidity (<em>R<sup>2</sup></em><sup> </sup>= 0.69, p ≤ 0.05), TDS (<em>R<sup>2</sup></em> = 0.61, p ≤ 0.05), Cl (<em>R<sup>2</sup></em> = 0.62, p ≤ 0.05) and a significant negative correlation with NH<sub>4</sub> (<em>R<sup>2</sup></em> = <span style="white-space:nowrap;">&minus;</span>0.729, p ≤ 0.05). Agriculture exhibited a significant positive correlation with turbidity (<em>R<sup>2</sup></em> = 0.71, p ≤ 0.01) and Fe (<em>R<sup>2</sup></em> = 0.75, p ≤ 0.01. Forest cover correlated negatively with most of the water quality parameters apart from Fe, DO, NO<sub>3</sub> but was not statistically significant. Grassland had a significant negative correlation with temperature (<em>R<sup>2</sup></em> = <span style="white-space:nowrap;">&minus;</span>0.68, p ≤ 0.05). Clearly, urbanization has made a disproportionately strong contribution to the deterioration of surface water quality indicating that intensive anthropogenic activities exacerbate water quality degradation. These results provide essential information for land use planners and water managers towards sustainable and equitable management of limited water resources. The Upper Chongwe River Catchment has recently been overexploited for water resources with increased complaints by various water users about the deteriorating quality of surface water within the sub-catchment. This study was motivated by the need to investigate and understand the response of surface water quality to land use land cover (LULC) change due to urbanization. Water samples, collected at 9 sampling sites from 2006 to 2017, were analyzed for water quality using the weighted arithmetic water quality index and trend using the Mann-Kendall statistics. LULC change is detected and analyzed in ERDAS Imagine 2014 and ArcGIS 10.4 using 2006 Landsat 5 TM and 2017 Landsat 8 OLI imageries. The relationship between LULC change and water quality was performed with multiple regression analysis and Pearson correlation. The results reveal that Built-up area, Grassland and surface water increased by 5.48%, 13.34% and 0.03% respectively while Agricultural land and Forest Land decreased by <span style="white-space:nowrap;">&minus;</span>13.41% and <span style="white-space:nowrap;">&minus;</span>5.42% respectively. The water quality index ranged from 43.04 to 110.40 in 2006 and from 170 to 430 in 2017 indicating a deterioration in the quality of surface water from good to unsuitable for drinking at all the sampled sites. Built-up/bare lands exhibited a significant positive correlation with EC (<em>R<sup>2</sup></em> = 0.61, p ≤ 0.05), turbidity (<em>R<sup>2</sup></em><sup> </sup>= 0.69, p ≤ 0.05), TDS (<em>R<sup>2</sup></em> = 0.61, p ≤ 0.05), Cl (<em>R<sup>2</sup></em> = 0.62, p ≤ 0.05) and a significant negative correlation with NH<sub>4</sub> (<em>R<sup>2</sup></em> = <span style="white-space:nowrap;">&minus;</span>0.729, p ≤ 0.05). Agriculture exhibited a significant positive correlation with turbidity (<em>R<sup>2</sup></em> = 0.71, p ≤ 0.01) and Fe (<em>R<sup>2</sup></em> = 0.75, p ≤ 0.01. Forest cover correlated negatively with most of the water quality parameters apart from Fe, DO, NO<sub>3</sub> but was not statistically significant. Grassland had a significant negative correlation with temperature (<em>R<sup>2</sup></em> = <span style="white-space:nowrap;">&minus;</span>0.68, p ≤ 0.05). Clearly, urbanization has made a disproportionately strong contribution to the deterioration of surface water quality indicating that intensive anthropogenic activities exacerbate water quality degradation. These results provide essential information for land use planners and water managers towards sustainable and equitable management of limited water resources.
作者 Alick Nguvulu Agabu Shane Claude S. Mwale Tewodros M. Tena Phenny Mwaanga John Siame Brian Chirambo Musango Lungu Frank Mudenda Dickson Mwelwa Sydney Chinyanta Jackson Kawala Victor Mwango Bowa Levi S. Mutambo Nicholas Okello Charles Musonda Alick Nguvulu;Agabu Shane;Claude S. Mwale;Tewodros M. Tena;Phenny Mwaanga;John Siame;Brian Chirambo;Musango Lungu;Frank Mudenda;Dickson Mwelwa;Sydney Chinyanta;Jackson Kawala;Victor Mwango Bowa;Levi S. Mutambo;Nicholas Okello;Charles Musonda(Department of Geomatics Engineering, Copperbelt University, Kitwe, Zambia;Department of Mining Engineering, Copperbelt University, Kitwe, Zambia;Department of Environmental Engineering, Copperbelt University, Kitwe, Zambia;Department of Chemical Engineering, Copperbelt University, Kitwe, Zambia;Department of Civil Engineering, University of Pretoria, Pretoria, South Africa;Department of Civil and Environmental Engineering, University of Zambia, Lusaka, Zambia;Business and Information Technology Department, Cavendish University, Lusaka, Zambia)
出处 《Journal of Geographic Information System》 2021年第5期578-602,共25页 地理信息系统(英文)
关键词 Water Quality LULC Change Water Quality Index River Catchment WATERSHED Water Quality LULC Change Water Quality Index River Catchment Watershed
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