Surface water quality in Manitoba with respect to six chemical parameters, water body and sediment type and land use

2005 ◽  
Vol 8 (2) ◽  
pp. 195-207 ◽  
Author(s):  
E. Pip
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Surface Water ◽  
Water Body ◽  
Surface Water Quality ◽  
Sediment Type ◽  
Chemical Parameters

scholarly journals Spatio-Temporal Analysis of Surface Water Quality in Mokopane Area, Limpopo, South Africa

Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 220
Author(s):  
Mmasabata Dolly Molekoa ◽  
Ram Avtar ◽  
Pankaj Kumar ◽  
Huynh Vuong Thu Minh ◽  
Rajarshi Dasgupta ◽  
...  
Keyword(s):  
South Africa ◽  
Water Quality ◽  
Heavy Metal ◽  
Land Use ◽  
Surface Water ◽  
Water Samples ◽  
Surface Water Quality ◽  
Quality Data ◽  
Chemical Parameters ◽  
Physico Chemical

Considering the well-documented impacts of land-use change on water resources and the rapid land-use conversions occurring throughout Africa, in this study, we conducted a spatiotemporal analysis of surface water quality and its relation with the land use and land cover (LULC) pattern in Mokopane, Limpopo province of South Africa. Various physico-chemical parameters were analyzed for surface water samples collected from five sampling locations from 2016 to 2020. Time-series analysis of key surface water quality parameters was performed to identify the essential hydrological processes governing water quality. The analyzed water quality data were also used to calculate the heavy metal pollution index (HPI), heavy metal evaluation index (HEI) and weighted water quality index (WQI). Also, the spatial trend of water quality is compared with LULC changes from 2015 to 2020. Results revealed that the concentration of most of the physico-chemical parameters in the water samples was beyond the World Health Organization (WHO) adopted permissible limit, except for a few parameters in some locations. Based on the calculated values of HPI and HEI, water quality samples were categorized as low to moderately polluted water bodies, whereas all water samples fell under the poor category (>100) and beyond based on the calculated WQI. Looking precisely at the water quality’s temporal trend, it is found that most of the sampling shows a deteriorating trend from 2016 to 2019. However, the year 2020 shows a slightly improving trend on water quality, which can be justified by lowering human activities during the lockdown period imposed by COVID-19. Land use has a significant relationship with surface water quality, and it was evident that built-up land had a more significant negative impact on water quality than the other land use classes. Both natural processes (rock weathering) and anthropogenic activities (wastewater discharge, industrial activities etc.) were found to be playing a vital role in water quality evolution. This study suggests that continuous assessment and monitoring of the spatial and temporal variability of water quality in Limpopo is important to control pollution and health safety in the future.

Assessement of Water Quality Parameters in Some Potential Pollutant Areas from Romania

2018 ◽  
Vol 69 (8) ◽  
pp. 2045-2049
Author(s):  
Catalina Gabriela Gheorghe ◽  
Andreea Bondarev ◽  
Ion Onutu
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Data ◽  
Chemical Parameters ◽  
Water Quality Data ◽  
Pollutant Sources ◽  
Water Quality Forecasting

Monitoring of environmental factors allows the achievement of some important objectives regarding water quality, forecasting, warning and intervention. The aim of this paper is to investigate water quality parameters in some potential pollutant sources from northern, southern and east-southern areas of Romania. Surface water quality data for some selected chemical parameters were collected and analyzed at different points from March to May 2017.

scholarly journals Modelling Impacts of a Municipal Spatial Plan of Land-Use Changes on Surface Water Quality—Example from Goriška Brda in Slovenia

Water ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 189 ◽  
Author(s):  
Matjaž Glavan ◽  
Sara Bele ◽  
Miha Curk ◽  
Marina Pintar
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Surface Water ◽  
Land Use Change ◽  
Agricultural Land ◽  
Surface Water Quality ◽  
Erosion Processes ◽  
Phosphorus Loads ◽  
The Impact ◽  
Spatial Plan

Intensive agriculture causes nutrient leaching and accelerates erosion processes, which threatens the good quality status of surface waters, as proposed by the European Union (EU) Water Framework Directive. The purpose of this study was to define the impact of two alternative agricultural land-use change scenarios defined in a Municipal Spatial Plan on surface water quality by using the Agricultural Policy/Environmental eXtender (APEX) model. As experimental area, we chose a small Kožbanjšček stream catchment (1464 ha) situated in the Goriška Brda region in Slovenia. The area, due to favorable conditions for vineyards, is facing increasing deforestation. The change of 66.3 ha of forests to vineyards would increase the sediment, nitrate, and phosphorus loads in the stream by 24.8%, 17.1%, and 10.7%, respectively. With the implementation of vegetative buffer strips as a mitigation measure of the current situation, we could reduce the sediment, nitrate, and phosphorus loads by 17.9%, 11.1%, and 3.1%, respectively, while a combination of the two land-use change scenarios would result in a slight increase of the above-mentioned loads, corresponding to 0.61%, 2.1%, and 6.6%, respectively, compared to the baseline situation. The results confirm that, as we can increase pollution levels with deforestation, we can also reduce water pollution by choosing proper types of land management measures.

Irrigation system and land use effect on surface water quality in river, at lake Dianchi, Yunnan, China

2013 ◽  
Vol 25 (6) ◽  
pp. 1107-1116 ◽  
Author(s):  
Takashi Tanaka ◽  
Takahiro Sato ◽  
Kazuo Watanabe ◽  
Ying Wang ◽  
Dan Yang ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Surface Water ◽  
Irrigation System ◽  
Surface Water Quality ◽  
Lake Dianchi

The Effect of Land Use on Water Quality in Lam Takong Basin, Nakhon Ratchasima Province, Thailand

2014 ◽  
Vol 1030-1032 ◽  
pp. 641-647 ◽  
Author(s):  
Glinsukol Suwannarat ◽  
Pongthep Suwanwaree
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Surface Water ◽  
Chlorophyll A ◽  
Water Body ◽  
Treatment Plant ◽  
Water Quality Assessment ◽  
Industrial Area ◽  
Dry Season ◽  
Septic Tank

The water quality assessment of Lam Takong River and tributaries, from 20 stations, 6 times (October and December, 2008; February, April, June and August, 2009), revealed that overall water quality was in class 3 of Thailand surface water standard, except NH3-N, P and BOD. The maximum of NH3-N (12.6 mg/L), Phosphate 2.7 mg/L and BOD (8.7 mg/L) were found at Quartermaster Department Royal Thai Army Bridge, Nakhon Ratchasima Municipality pump in Lam Takong reservoir and Ban Ta Krasang, respectively, causing class 4 surface water standard in these areas. Moreover, trophic level of Lam Ta Khong River was mesotrophic; except they were meso-eutrophic after passing through Nakhon Ratchasima Municipality, Ban Ta Krasung, and Kan Pom dam before reaching Mool River. The season also affected on water quality. The value of pH, DO, BOD and NH3-N were significantly higher in dry season (p<0.01), while temperature, salinity and TSS were significantly lower in dry season (p<0.01). However, turbidity, TOC, NO3, NO2 and Chlorophyll-a in rainy season were higher than dry season but not statistically different. Pearson’s Correlation of 9 land use types on water quality showed that urban area was correlated with BOD, DO, NH3-N, PO4 and Chlorophyll-a (0.425, 0.380, -0.259, 0.445, and 0.339, respectively) higher than industrial area, scrub forest and water body. However, nitrate was mostly correlated with water body. Later, statistical models were developed from these results. WAPS was used to predict water quality in Lam Takong River. Three scenarios (present, 10 years, and 10 years with 25% BOD reduction) were simulated. The model predicts that water quality still decreases when flow through Nakhon Ratchasima Municipality. The minimum DO would reach 1 mg/L in ten years. However, if 25% BOD are reduced by future wastewater treatment plant and septic tank construction, the minimum DO would be 2.75 mg/L.

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