Land use and climate change impacts on the hydrology of the upper Mara River Basin, Kenya: results of a modeling study to support better resource management

被引:284
作者
Mango, L. M. [1 ]
Melesse, A. M. [1 ]
McClain, M. E. [1 ,2 ]
Gann, D. [3 ]
Setegn, S. G. [1 ]
机构
[1] Florida Int Univ, Dept Earth & Environm, Miami, FL 33199 USA
[2] UNESCO IHE Inst Water Educ, Dept Water Sci & Engn, Delft, Netherlands
[3] Florida Int Univ, Geog Informat Syst Remote Sensing Ctr, Miami, FL 33199 USA
关键词
SWAT MODEL; WATER-RESOURCES; RAINFALL; VULNERABILITY; UNCERTAINTY; CATCHMENT; QUALITY;
D O I
10.5194/hess-15-2245-2011
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Some of the most valued natural and cultural landscapes on Earth lie in river basins that are poorly gauged and have incomplete historical climate and runoff records. The Mara River Basin of East Africa is such a basin. It hosts the internationally renowned Mara-Serengeti landscape as well as a rich mixture of indigenous cultures. The Mara River is the sole source of surface water to the landscape during the dry season and periods of drought. During recent years, the flow of the Mara River has become increasingly erratic, especially in the upper reaches, and resource managers are hampered by a lack of understanding of the relative influence of different sources of flow alteration. Uncertainties about the impacts of future climate change compound the challenges. We applied the Soil Water Assessment Tool (SWAT) to investigate the response of the headwater hydrology of the Mara River to scenarios of continued land use change and projected climate change. Under the data-scarce conditions of the basin, model performance was improved using satellite-based estimated rainfall data, which may also improve the usefulness of runoff models in other parts of East Africa. The results of the analysis indicate that any further conversion of forests to agriculture and grassland in the basin headwaters is likely to reduce dry season flows and increase peak flows, leading to greater water scarcity at critical times of the year and exacerbating erosion on hillslopes. Most climate change projections for the region call for modest and seasonally variable increases in precipitation (5-10%) accompanied by increases in temperature (2.5-3.5 degrees C). Simulated runoff responses to climate change scenarios were non-linear and suggest the basin is highly vulnerable under low (-3%) and high (+25%) extremes of projected precipitation changes, but under median projections (+7%) there is little impact on annual water yields or mean discharge. Modest increases in precipitation are partitioned largely to increased evapotranspiration. Overall, model results support the existing efforts of Mara water resource managers to protect headwater forests and indicate that additional emphasis should be placed on improving land management practices that enhance infiltration and aquifer recharge as part of a wider program of climate change adaptation.
引用
收藏
页码:2245 / 2258
页数:14
相关论文
共 39 条
  • [21] Mati Bancy M., 2008, Lakes & Reservoirs Research and Management, V13, P169, DOI 10.1111/j.1440-1770.2008.00367.x
  • [22] Melesse A., 2008, P WORLD ENV WATER RE, DOI DOI 10.1061/40976(316)589
  • [23] Simiyu River catchment parameterization using SWAT model
    Mulungu, Deogratlas M. M.
    Munishi, Subira E.
    [J]. PHYSICS AND CHEMISTRY OF THE EARTH, 2007, 32 (15-18) : 1032 - 1039
  • [24] Mutie S., 2006, 2 WORKSH EARSEL SIG
  • [25] NEITSCH S.L., 2005, SOIL WATER ASSESSMEN
  • [26] Effects of land cover change on flood peak discharges and runoff volumes: model estimates for the Nyando River Basin, Kenya
    Olang, L. O.
    Fuerst, J.
    [J]. HYDROLOGICAL PROCESSES, 2011, 25 (01) : 80 - 89
  • [27] Portner H.O., 2022, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel On Climate Change, DOI DOI 10.1017/9781009325844
  • [28] Ruosteenoja K., 2003, FINNISH ENV, V644
  • [29] Using monthly weather statistics to generate daily data in a SWAT model application to West Africa
    Schuol, J.
    Abbaspour, K. C.
    [J]. ECOLOGICAL MODELLING, 2007, 201 (3-4) : 301 - 311
  • [30] Impact of climate change on the hydroclimatology of Lake Tana Basin, Ethiopia
    Setegn, Shimelis G.
    Rayner, David
    Melesse, Assefa M.
    Dargahi, Bijan
    Srinivasan, Raghavan
    [J]. WATER RESOURCES RESEARCH, 2011, 47