Assessing the impact of land cover changes on water balance components of White Volta Basin in West Africa

Awotwi, Alfred; Yeboah, Francis; Kumi, Michael

doi:10.1111/wej.12100

Cited by 57 publications

(43 citation statements)

References 14 publications

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“…Therefore, the effects of LULC on these processes could be represented inadequately. However, the SWIM model showed in this study, like SWAT model in other LULC studies in the region [33], that the process-based models are generally able to reproduce the effects of LULC.…”

Section: Discussion Of the Methodological Framework Employed And Relamentioning

confidence: 47%

“…The parameter settings of the newest version of the SWAT model are used for the aggregated vegetation types of the SWIM model [32]. These parameter settings have been widely used in the African context for LULC studies (e.g., [33][34][35][36]). The effects of the vegetation on the hydrological processes include the cover-specific retention coefficient, impacting surface runoff and influencing the amount of transpiration.…”

Section: Ecohydrological Model and Model Set-upmentioning

confidence: 99%

“…Awotowi et al (2014) [33] show for West Africa that land use classes of SWAT are generally suitable for West African conditions. They found similar effects of LULC on the hydrology for the Volta basin, where cropland replaced savannah and grassland.…”

Section: Sensitivity Analysis Of the Effects Of Lulc On The Hydrologimentioning

confidence: 99%

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Climate or Land Use?—Attribution of Changes in River Flooding in the Sahel Zone

Aich

Liersch

Vetter

et al. 2015

Water

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This study intends to contribute to the ongoing discussion on whether land use and land cover changes (LULC) or climate trends have the major influence on the observed increase of flood magnitudes in the Sahel. A simulation-based approach is used for attributing the observed trends to the postulated drivers. For this purpose, the ecohydrological model SWIM (Soil and Water Integrated Model) with a new, dynamic LULC module was set up for the Sahelian part of the Niger River until Niamey, including the main tributaries Sirba and Goroul. The model was driven with observed, reanalyzed climate and LULC data for the years 1950-2009. In order to quantify the shares of influence, one simulation was carried out with constant land cover as of 1950, and one including LULC. As quantitative measure, the gradients of the simulated trends were compared to the observed trend. The modeling studies showed that for the Sirba River only the simulation which included LULC was able to reproduce the observed trend. The simulation without LULC showed a positive trend for flood magnitudes, but underestimated the trend significantly. For the Goroul River and the local flood of the Niger River at Niamey, the simulations were only partly able to reproduce the observed trend. In conclusion, the new LULC module OPEN ACCESSWater 2015, 7 2797 enabled some first quantitative insights into the relative influence of LULC and climatic changes. For the Sirba catchment, the results imply that LULC and climatic changes contribute in roughly equal shares to the observed increase in flooding. For the other parts of the subcatchment, the results are less clear but show, that climatic changes and LULC are drivers for the flood increase; however their shares cannot be quantified. Based on these modeling results, we argue for a two-pillar adaptation strategy to reduce current and future flood risk: Flood mitigation for reducing LULC-induced flood increase, and flood adaptation for a general reduction of flood vulnerability.

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Section: Discussion Of the Methodological Framework Employed And Relamentioning

confidence: 47%

Section: Ecohydrological Model and Model Set-upmentioning

confidence: 99%

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Climate or Land Use?—Attribution of Changes in River Flooding in the Sahel Zone

Aich

Liersch

Vetter

et al. 2015

Water

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“…Tong and Chen (2002), studying the contribution of pollutants from different types of land use, found that agricultural land use produced the highest and bare land use the least amount of contaminants. Awotwi et al (2015) found that human activity is one of the major driving forces leading to changes in land cover characteristics and subsequently hydrologic processes. Wang (2001) found that industrial land and agricultural land decrease water environment quality and forest land and grassland have a negative influence on water pollutant concentration.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impact of Land Use and Land Cover on Water Quality in the Watershed of a Reservoir

Bonansea¹,

Ledesma²,

Rodríguez³

2016

Appl Ecol Env Res

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Abstract. Natural forest of Río Tercero watershed (Argentina) was replaced by urban expansion and agricultural activities causing negative impacts in water quality of Río Tercero reservoir. This paper classifies land use and land cover (LULC) in the watershed, trying to find a relationship with nutrient loads of the reservoir's tributaries. Each tributary was analysed during 2006 bimonthly for physicochemical variables. LULC was determined using a Landsat 5 TM image. Statistical analyses were carried out to identify relationships between water quality and LULC. Results suggest that urban and agricultural activities are the primary driving forces behind the variations in nutrient loads measured in tributaries. Sub-watershed most affected by human activities displayed the highest values of nutrient loads. If agricultural and urban activities continue to increase, water quality at watershed scale will decline. It is recommended the development of a global approach management plan at a watershed scale.

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“…Regarding to the impacts of land cover changes on water and soil erosion-sediment yields, most of the previous studies were conducted by hydrological modelling (Notebaert et al 2011;De Girolamo and Lo Porto 2012;Isik et al 2013;Wang et al 2014;Awotwi et al 2015). In addition, most of those studies focussed only on the impact of clear cutting in forest harvesting on water yield and soil erosionsedimentation.…”

Section: Introductionmentioning

confidence: 99%

Water and sediment yields from two catchments with different land cover areas

Basuki

2017

J.Degrade.Min.Land Manage.

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:Land cover and human activities affect water yield and soil erosion-sedimentation in a catchment. Therefore, a study to obtain information of water and sediment yields from two catchments covered by different land cover areas has been conducted in Tanjung and Bakar catchments. The catchments are located in Tanah Laut Regency, South Kalimantan Province. The area of secondary forest inTanjung and Bakar catchments are 31 and 10%. The water yield was obtained by measuring Stream Water Level (SWL) and converted the data into stream water discharge using a stream water discharge rating curve. Sediment samples were taken for every increament of SWL. The sediment concentration in water samples were converted to sediment discharge (kg/second) using a sediment discharge rating curve. The results showed that water and sediment yields in 2016 of Tanjung cacthment were higher than Bakar catchment. The water and sediment yields of Tanjung were 2994 mm and 15.7 t/ha. Bakar catchment produces water yield 2750 mm and sediment yield 7.4 t/ha. Based on the study, it shows that the suspended sediment in stream water is not only affected by the percentage of forest cover, but it is also influenced by the activities within the catchment such as traditional mining. Keywords: forest area, sediment yield, water yieldTo cite this article: Basuki, T.M. 2017. Water and sediment yields from two catchments with different land cover areas.

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Assessing the impact of land cover changes on water balance components of White Volta Basin in West Africa

Cited by 57 publications

References 14 publications

Climate or Land Use?—Attribution of Changes in River Flooding in the Sahel Zone

Climate or Land Use?—Attribution of Changes in River Flooding in the Sahel Zone

Assessing the Impact of Land Use and Land Cover on Water Quality in the Watershed of a Reservoir

Water and sediment yields from two catchments with different land cover areas

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