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The impact of climate and land-use changes on the hydrological processes of Owabi catchment from SWAT analysis

机译:通过SWAT分析,气候和土地利用变化对奥瓦比集水区水文过程的影响

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Study regionThe 69?km2Owabi catchment in Ghana.Study focusThe Soil-Water-Assessment-Tool (SWAT) was used to assess the hydro-climatic variability resulting from anthropogenic activities from 1986 to 2015. Specifically, the model simulated historic and projected stream-flow and water balance. Future stream-flow projections were modelled for three climate ensembles under three different representative concentration pathways (RCPs) for two land-use categories.New hydrological insights for the regionInitial results revealed that forest and topography played major role in water loss, whereas evapotranspiration and surface runoff were the dominant modulating processes. Monthly calibration/validation of the model yielded acceptable results with NSE, R2, PBIAS and RSR values of 0.66/0.67, 0.67/0.67, 8.2%/8.0% and 0.59/0.58 respectively. Uncertainty was fairly low and the model enveloped about 50% of the observed stream-flow. The RCP projections for all land use categories showed decreasing rainfall and streamflow trends. The model proved efficient in determining the catchment hydrology parameters and has potential to be used for further modelling of water quality and pollution to aid in effective water management.
机译:研究区域加纳69平方千米的奥瓦比集水区。研究重点:土壤水评估工具(SWAT)用于评估1986年至2015年人为活动引起的水文气候变化。具体而言,该模型模拟了历史流量和预计流量和水平衡。在两个不同的土地利用类别的三个不同代表性浓度路径(RCP)下,针对三个气候集合对未来的流量预测进行了建模。该地区的新水文见解初步结果表明,森林和地形在水损失中起主要作用,而蒸散和地表作用径流是主要的调节过程。该模型的每月校准/验证产生了可接受的结果,NSE,R2,PBIAS和RSR值分别为0.66 / 0.67、0.67 / 0.67、8.2%/ 8.0%和0.59 / 0.58。不确定性相当低,模型覆盖了观察到的流量的约50%。 RCP对所有土地利用类别的预测均显示降雨和溪流趋势呈下降趋势。该模型被证明在确定流域水文参数方面是有效的,并且有潜力用于进一步对水质和污染进行建模,以帮助有效的水管理。

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