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Drivers of spatial and temporal variability of streamflow in the Incomati River basin

机译:Incomati流域水流的时空变化驱动因素

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The Incomati is a semi-arid trans-boundary river basin in southern Africa,with a high variability of streamflow and competing water demands fromirrigated agriculture, energy, forestry and industries. These sectors competewith environmental flows and basic human water needs, resulting in a"stressed" water resource system. The impacts of these demands, relative tothe natural flow regime, appear significant. However, despite being arelatively well-gauged basin in South Africa, the natural flow regime and itsspatial and temporal variability are poorly understood and remain poorlydescribed, resulting in a limited knowledge base for water resource planningand management decisions. Thus, there is an opportunity to improve watermanagement, if it can be underpinned by a better scientific understanding ofthe drivers of streamflow availability and variability in the catchment.In this study, long-term rainfall and streamflow records were analysed.Statistical analysis, using annual anomalies, was conducted on 20 rainfallstations, for the period 1950–2011. The Spearman test was used to identifytrends in the records on annual and monthly timescales. The variability ofrainfall across the basin was confirmed to be high, both intra- andinter-annually. The statistical analysis of rainfall data revealed nosignificant trend of increase or decrease. Observed flow data from 33 gaugeswere screened and analysed, using the Indicators of Hydrologic Alteration(IHA) approach. Temporal variability was high, with the coefficient ofvariation of annual flows in the range of 1 to 3.6. Significant decliningtrends in October flows, and low flow indicators, were also identified atmost gauging stations of the Komati and Crocodile sub-catchments; however, notrends were evident in the other parameters, including high flows. The trendswere mapped using GIS and were compared with historical and current land use.These results suggest that land use and flow regulation are larger drivers oftemporal changes in streamflow than climatic forces. Indeed, over the past 40years, the areas under commercial forestry and irrigated agriculture haveincreased over 4 times.
机译:Incomati是南部非洲的半干旱跨境河流流域,其水流量变化很大,灌溉农业,能源,林业和工业用水竞争激烈。这些部门与环境流量和基本的人类用水需求竞争,从而导致“紧张的”水资源系统。这些需求相对于自然流态的影响似乎很明显。然而,尽管南非是流域相对丰满的流域,但人们对自然流态及其时空变异性了解甚少,而且描述得很差,导致水资源规划和管理决策的知识基础有限。因此,如果可以通过对流域的径流可用性和可变性驱动因素有更好的科学认识来支持,便有机会改善水管理。 在本研究中,分析了长期降雨和径流记录1950-2011年间,利用年度异常对20个降雨站进行了统计分析。 Spearman检验用于确定年度和月度时标记录中的趋势。在整个年内和年际,整个盆地的降雨变化都很高。降雨数据的统计分析表明,增减趋势不显着。使用水文蚀变指标(IHA)方法筛选和分析了来自33个仪表的观测流量数据。时间变异性很高,年流量的变异系数在1到3.6之间。在科马蒂和鳄鱼子集水区的监测站也发现了十月份流量的显着下降趋势和低流量指标。但是,在其他参数(包括高流量)中,notrend很明显。使用GIS绘制了趋势图,并将其与历史和当前土地利用进行了比较。这些结果表明,土地利用和流量调节是河流流量瞬时变化的主要驱动力,而不是气候力量。确实,在过去的40年中,商品林业和灌溉农业的面积增加了4倍以上。

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