Groundwater recharge processes in the Nasia sub-catchment of the White Volta Basin: Analysis of porewater characteristics in the unsaturated zone

Addai, Millicent Obeng; Yidana, Sandow Mark; Chegbeleh, Larry-Pax; Adomako, Dickson; Banoeng-Yakubo, Bruce

doi:10.1016/j.jafrearsci.2015.04.006

Cited by 24 publications

(11 citation statements)

References 43 publications

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“…There are several communities within the watershed, with the Nasia community being the most prominent. According to the 2010 Ghana population census, the watershed is inhabited by about 359,888 people (Addai et al, 2016). The main occupation of the people in this area is agriculture, which mainly depends on rainfall.…”

Section: Study Areamentioning

confidence: 99%

“…The topography of the area reflects that of the whole of northern and north-east regions of Ghana, being relatively flat with the rivers flowing downstream into the main White Volta River. Average temperature is around 29°C, with one rainy season, and total annual rainfall of between 1000 and 1300 mm (Addai et al, 2016). Conventional rainy season starts from May to October in a typical year, with peak rainfall occurring in late August and early September.…”

Section: Study Areamentioning

confidence: 99%

“…Conventional rainy season starts from May to October in a typical year, with peak rainfall occurring in late August and early September. However, recent climatic changes have caused the rainfall pattern to be erratic, and as such it is common to have the first rains occurring in late June or July (Addai et al, 2016). Land Cover/Land Use (LULC) types of the Nasia watershed include settlement, water, woodland, Rainfed agriculture, Flood Recession Agriculture (FRA) and Savanna.…”

Section: Study Areamentioning

confidence: 99%

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Mapping flood prone and Hazards Areas in rural landscape using landsat images and random forest classification: Case study of Nasia watershed in Ghana

et al. 2021

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Floods are hazard which poses immense threat to life and property. Identifying flood-prone areas, will enhance flood mitigation and proper land use planning of affected areas. However, lack of resources, the sizable extent of rural settlements, and the evolving complexities of contemporary flood models have hindered flood hazard mapping of the rural areas in Ghana. This study used supervised Random Forest (RF) classification, Landsat 8 OLI, and Landsat 7 ETM + images to produce flood prone, Land Use Land Cover (LULC), and flood hazard maps of the Nasia Watershed in Ghana. The results indicated that about 418.82 km 2 area of the watershed is flooded every 2-3 years (normal flooding) and about 689.61 km 2 is flooded every 7-10 years (extreme flooding). The LULC classification produced an overall accuracy of 92.31% and kappa of 0.9. The flood hazard map indicated that land areas within hazard zones of the river include the Nasia community, Flood Recession Agricultural (FRA), rainfed and woodlands. When compared with a Modified Normalized Difference Water Index (MNDWI), the RF supervised classification had an edge over the MNDWI in estimating the flooded areas. The results from this study can be used by local

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Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

See 1 more Smart Citation

Mapping flood prone and Hazards Areas in rural landscape using landsat images and random forest classification: Case study of Nasia watershed in Ghana

et al. 2021

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“…The water residence time within the evaporation zone in the vadose zone determines its level of exposure to evaporation impacts arising from high ambient temperatures and low humidity-typical in arid areas and, therefore, different levels of fractionation. The relative heterogeneity of groundwater between 2007 and 2014-2015 suggests that the recharge sources are not largely similar in space and/or time, reflecting mixed conditions (young and old groundwater) [61][62][63]. Deuterium excess "d" also reflects different recharge sources.…”

Section: Isotopic Composition Of Watermentioning

confidence: 99%

Integration of Isotopic (2H and 18O) and Geophysical Applications to Define a Groundwater Conceptual Model in Semiarid Regions

Pacheco-Guerrero

Gonzalez-Trinidad

Júnez-Ferreira

et al. 2019

Water

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One-third of the global population depends on groundwater for drinking, which is an even larger proportion for arid regions. The integration of isotopic and geophysical applications has been very useful in understanding the process of groundwater recharge. The aim of this study is to define a conceptual model that describes groundwater functions within an aquifer located in a semi-arid region by identifying recharge patterns based on the isotopic characteristics of: Rainfall, surface water, shallow and deep groundwater, and incorporating regional geophysical data. We demonstrated that rainfall was affected by sub-cloud evaporation and altitude. Shallow and deep modern groundwater samples were clustered and exhibited similar evolution from rainfall. However, different groups recharged from different precipitation sources compared to the local one. In the current study, we analyzed the isotopic evolution of deep groundwater over a 10-year period, which was mainly affected by the incorporation of different flows with different isotopic signatures and the hydrodynamics of the area. We performed two geoelectrical sections in the study area to improve the understanding of the hydrogeological setting and water movement patterns. The new conceptual model should help stakeholders in the context of water management policies for the study area.

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“…The predominant land use is arable food production and widespread grazing of large numbers of cattle and other livestock. Plinthic ferralsols (groundwater laterites) and Eutric nitosols (savannah ochrosols) with their intergrades are the predominant soil types in this region (Addai et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Hydro-climatic and land use/cover changes in Nasia catchment of the White Volta basin in Ghana

Nyadzi

Bessah

Kranjac-Berisavljevic

et al. 2021

Theor Appl Climatol

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The Nasia catchment is the reservoir with significant surface water resources in Northern Ghana and home to numerous subsistence farmers engaged in rainfed and dry season irrigation farming. Yet, there is little understanding of the hydro-climatic and land use/cover conditions of this basin. This study investigated trends, relationships and changes in hydro-climatic variables and land use/cover in addition to implications of the observable changes in the Nasia catchment over a period of 50 years. Parameters used for the study were minimum (Tmin) and maximum temperature (Tmax), wind speed (WS), sunshine duration (S), rainfall (R), relative humidity (RH), discharge (D) and potential evapotranspiration (PET) data, 15 years of remotely sensed normalized difference vegetation index (NDVI) data and 30 years of land use/cover image data. Results show that Tmin, Tmax, WS and PET have increased significantly (p < 0.05) over time. RH and S significantly declined. R, D and NDVI have not decreased significantly (p > 0.05). A significant abrupt change in almost all hydro-climatic variables started in the 1980s, a period that coincides with the occurrence of drought events in the region, except WS in 2001, R in 1968 and D in 1975, respectively. Also, D showed a positive significant correlation with RH, R and PET, but an insignificant positive relationship with S. D also showed a negative insignificant correlation with Tmin, Tmax and WS. Areas covered with shrubland and settlement/bare lands have increased to the disadvantage of cropland, forest, grassland and water bodies. It was concluded that climate change impact is quite noticeable in the basin, indicating water scarcity and possibilities of droughts. The analysis performed herein is a vital foundation for further studies to simulate and predict the effect of climate change on the water resources, agriculture and livelihoods in the Nasia catchment.

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Groundwater recharge processes in the Nasia sub-catchment of the White Volta Basin: Analysis of porewater characteristics in the unsaturated zone

Cited by 24 publications

References 43 publications

Mapping flood prone and Hazards Areas in rural landscape using landsat images and random forest classification: Case study of Nasia watershed in Ghana

Mapping flood prone and Hazards Areas in rural landscape using landsat images and random forest classification: Case study of Nasia watershed in Ghana

Integration of Isotopic (2H and 18O) and Geophysical Applications to Define a Groundwater Conceptual Model in Semiarid Regions

Hydro-climatic and land use/cover changes in Nasia catchment of the White Volta basin in Ghana

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