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

被引:32
|
作者
Okello, A. M. L. Saraiva [1 ,3 ]
Masih, I. [1 ]
Uhlenbrook, S. [1 ,2 ]
Jewitt, G. P. W. [3 ]
Van der Zaag, P. [1 ,2 ]
Riddell, E. [3 ]
机构
[1] UNESCO IHE, Inst Water Educ, NL-2601 DA Delft, Netherlands
[2] Delft Univ Technol, Dept Water Resources, NL-2600 GA Delft, Netherlands
[3] Univ KwaZulu Natal, Ctr Water Resources Res, Sch Agr Earth & Environm Sci, ZA-3209 Scottsville, South Africa
关键词
WATER-RESOURCES MANAGEMENT; LAND-USE CHANGE; HYDROLOGIC ALTERATION; ADAPTIVE MANAGEMENT; SOUTH-AFRICA; FLOW; IMPACTS; INDICATORS; CATCHMENT; TRENDS;
D O I
10.5194/hess-19-657-2015
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The Incomati is a semi-arid trans-boundary river basin in southern Africa, with a high variability of streamflow and competing water demands from irrigated agriculture, energy, forestry and industries. These sectors compete with environmental flows and basic human water needs, resulting in a "stressed" water resource system. The impacts of these demands, relative to the natural flow regime, appear significant. However, despite being a relatively well-gauged basin in South Africa, the natural flow regime and its spatial and temporal variability are poorly understood and remain poorly described, resulting in a limited knowledge base for water resource planning and management decisions. Thus, there is an opportunity to improve water management, if it can be underpinned by a better scientific understanding of the 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 rainfall stations, for the period 19502011. The Spearman test was used to identify trends in the records on annual and monthly timescales. The variability of rainfall across the basin was confirmed to be high, both intraand inter-annually. The statistical analysis of rainfall data revealed no significant trend of increase or decrease. Observed flow data from 33 gauges were screened and analysed, using the Indicators of Hydrologic Alteration (IHA) approach. Temporal variability was high, with the coefficient of variation of annual flows in the range of 1 to 3.6. Significant declining trends in October flows, and low flow indicators, were also identified at most gauging stations of the Komati and Crocodile sub-catchments; however, no trends were evident in the other parameters, including high flows. The trends were mapped using GIS and were compared with historical and current land use. These results suggest that land use and flow regulation are larger drivers of temporal changes in streamflow than climatic forces. Indeed, over the past 40 years, the areas under commercial forestry and irrigated agriculture have increased over 4 times.
引用
收藏
页码:657 / 673
页数:17
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