Spatio-seasonal variation of water quality influenced by land use and land cover in Lake Muhazi

Umwali, Edovia Dufatanye; Kurban, Alishir; Isabwe, Alain; Mind’je, Richard; Azadi, Hossein; Guo, Zengkun; Udahogora, Madeleine; Nyirarwasa, Anathalie; Umuhoza, Jeanine; Nzabarinda, Vincent; Gasirabo, Aboubakar; Sabirhazi, Gulnur

doi:10.1038/s41598-021-96633-9

Cited by 29 publications

(11 citation statements)

References 74 publications

(71 reference statements)

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“…During the rainy season, there is an increase in surface runoff, which can dilute pollutants and improve the quality of the water overall. During the dry season, however, there is less surface runoff and the water becomes more sluggish, resulting in increased the concentrations of contaminants [75]. This can result in the greater WQI index during the rainy season than the dry season [74].…”

Section: Water Quanlyty Indexmentioning

confidence: 99%

“…This can result in the greater WQI index during the rainy season than the dry season [74]. Moreover, during the dry season, water abstraction for agricultural and industrial reasons can further diminish the volume of available water, resulting in increased pollution levels [75]. The observed changes in the WQI values between the rainy and dry seasons in the Bach Dang river basin may be attributable to these variables.…”

Section: Water Quanlyty Indexmentioning

confidence: 99%

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Surface water quality assessment in the Bach Dang river basin, Vietnam: using water quality index and geographical information system methods

Nguyen,

Tran,

Tap Van

et al. 2023

Environ. Res. Commun.

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The study evaluates the surface water quality of the Bach Dang river basin. During the rainy season, the temperature, pH, EC, BOD5, COD, coliforms, ammonium and phosphate values were 27–37 oC, 6.6–8.9, 300–2200 μS/cm, 5–25 mg/L, 5–26 mg/L, 0–3000 MPN/100mL, below 0.01 mg/L, and 0.02 mg/L, respective. During the rainy and dry seasons, Zn, Pb, Cr, As, Fe and Mn levels were below drinking water limits. In the rainy season, the water quality index varied from 76 to 91, signifying medium to excellent water quality. The most outstanding water quality sites were the QN12, QN18, and QN22. During the dry season, most areas had moderate to excellent (WQI values between 61 and 93), except for QN01, QN03, QN04, QN05, QN06, QN07, QN11, QN16, QN17, QN19, and QN23, where it dropped to moderate (61–73). The temperatures were greater and higher EC values in the southeast. The DO concentrations were higher in the northwest and southeast in both seasons. The southern and southeastern regions exhibited more excellent COD and BOD5 values than the western, southwest, north, and northeast regions. The ammonium concentrations were higher in the southeast. During the dry season, the phosphate levels exceeded the permissible limit in the west, southeast, east, and northeast. Coliforms were below acceptable in both seasons, with greater levels in the northwest and northeast during the dry season. In addition, the Zn and Pb are favorably associated with the As, Mn, ammonium and phosphate in the rainy season. The COD positively correlated with the coliforms and BOD5. In the dry season, the pH inversely correlated with the Pb and Fe positively. The ammonium correlated negatively with the DO and positively with the phosphates. The pH negatively connected with the alkalinity, while the As positively correlated with the BOD5 and COD.

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Section: Water Quanlyty Indexmentioning

confidence: 99%

Section: Water Quanlyty Indexmentioning

confidence: 99%

Surface water quality assessment in the Bach Dang river basin, Vietnam: using water quality index and geographical information system methods

Nguyen,

Tran,

Tap Van

et al. 2023

Environ. Res. Commun.

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“…(GIS) and remote sensing technology (RS) is modern, and innovative environmental monitoring tool and effective in integrated watershed management (IWSM), [14][15][16]. Land use and land cover changes are interrelated with watershed development, soil erosion, quality of water, vegetation, and yield of the area [17,18]. IWSM Programme in India was framed to provide the expansion of the DPAP (Drought Prone Areas Program), and DDP (Desert Development Plan) and rectifies the 1994 formulations, identifying the drawbacks, capacity-building strategies, and suggesting precisions, [19,20].…”

Section: Review Of Literaturementioning

confidence: 99%

The Delineation of Watersheds in the Dhenkanal District, Odisha, India; Using Arc-GIS

Mishra

Nayak

Barik

et al. 2023

JSRR

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The watersheds of the Dhenkanal district of Odisha, India with the centrally flowing, river Brahmani identified and explored. The watersheds added with anthropogenic stresses are unattended that affect the land, hydrology, ecology, vegetation, and fertility of the soil. Population growth, migration to cities, challenges, continuous disasters, and anthropogenic stresses block the growth. The Arc GIS software and its Hydrology toolset were utilized. The Digital Elevation Model is used to scale various maps like flow direction, stream order, flow accumulation, Stream features, Pour points, and watershed maps of the district. The Rengali Dam, and Samal barrage of the Brahmani system and its left and right canal system have a positive impact on watersheds on both sides of the river Brahmani but the surface and groundwater are polluted by industrial effluents. The watersheds in transition ridges of the Mahanadi and the Baitarani basin of the Brahmani basin have been poorly attended in Dhenkanal. Construction of farm ponds, groundwater recharge units, soil conservation activities, renovation, and new construction of waterbodies can cater to and care for the land, water, and vegetation of the district. It is high time to prepare large-scale maps by modern survey techniques (UAV, drones, GIS, and GPS) and the observed data used to identify, delineate, prioritize, and plan for sustainable environment management considering availability v/s demand of water through Integrated Watershed Management in the district.

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“…The highest point of the catchment is 2281 m above sea level in the northern part. The central feature of the catchment is Lake Muhazi, which is ~80 km long in the east-west [32,33]. Agriculture, fishing, and forestry are the most important employment sectors in the area, followed by trade and other services.…”

Section: Study Area Descriptionmentioning

confidence: 99%

Future Climate Change Impact on the Nyabugogo Catchment Water Balance in Rwanda

Umugwaneza

Chen

Liu

et al. 2021

Water

Self Cite

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Droughts and floods are common in tropical regions, including Rwanda, and are likely to be aggravated by climate change. Consequently, assessing the effects of climate change on hydrological systems has become critical. The goal of this study is to analyze the impact of climate change on the water balance in the Nyabugogo catchment by downscaling 10 global climate models (GCMs) from CMIP6 using the inverse distance weighting (IDW) method. To apply climate change signals under the Shared Socioeconomic Pathways (SSPs) (low and high emission) scenarios, the Soil and Water Assessment Tool (SWAT) model was used. For the baseline scenario, the period 1950–2014 was employed, whereas the periods 2020–2050 and 2050–2100 were used for future scenario analysis. The streamflow was projected to decrease by 7.2 and 3.49% under SSP126 in the 2020–2050 and 2050–2100 periods, respectively; under SSP585, it showed a 3.26% increase in 2020–2050 and a 4.53% decrease in 2050–2100. The average annual surface runoff was projected to decrease by 11.66 (4.40)% under SSP126 in the 2020–2050 (2050–2100) period, while an increase of 3.25% in 2020–2050 and a decline of 5.42% in 2050–2100 were expected under SSP585. Climate change is expected to have an impact on the components of the hydrological cycle (such as streamflow and surface runoff). This situation may, therefore, lead to an increase in water stress, calling for the integrated management of available water resources in order to match the increasing water demand in the study area. This study’s findings could be useful for the establishment of adaptation plans to climate change, managing water resources, and water engineering.

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Spatio-seasonal variation of water quality influenced by land use and land cover in Lake Muhazi

Cited by 29 publications

References 74 publications

Surface water quality assessment in the Bach Dang river basin, Vietnam: using water quality index and geographical information system methods

Surface water quality assessment in the Bach Dang river basin, Vietnam: using water quality index and geographical information system methods

The Delineation of Watersheds in the Dhenkanal District, Odisha, India; Using Arc-GIS

Future Climate Change Impact on the Nyabugogo Catchment Water Balance in Rwanda

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