Your search found 8 records
(Location: IWMI-HQ Call no: 333.91 G000 STO Record No: H028147)
2 Turton, A. 2003. An overview of the hydropolitical dynamics of the Orange River Basin. In Nakayama, M. (Ed.), International waters in Southern Africa. Tokyo, Japan: UNU. pp.136-163.
(Location: IWMI-HQ Call no: 333.91 G154 NAK Record No: H031966)
3 Mohamed, A. E. 2003. Joint development and cooperation in international water resources. In Nakayama, M. (Ed.), International waters in Southern Africa. Tokyo, Japan: UNU. pp.209-248.
(Location: IWMI-HQ Call no: 333.91 G154 NAK Record No: H031969)
4 Turton, A. 2001. Towards hydrosolidarity: Moving from resource capture to cooperation and alliances. In SIWI. Water Security for Cities, Food and Environment – Towards Catchment Hydrosolidarity, Stockholm, August 18, 2001: Proceedings, SIWI Seminar. Stockholm, Sweden: SIWI. pp.19-26.
(Location: IWMI HQ Call no: 333.91 G000 SWI Record No: H040364)
5 Turton, A. R. 2004. Evolution of water management institutions in select Southern African international river basins. In Biswas, A. K.; Unver, O.; Tortajada, C. (Eds.). Water as a focus for regional development. New Delhi, India: Oxford University Press (OUP) pp.251-289.
(Location: IWMI HQ Call no: 333.91 G000 BIS Record No: H041117)
6 Wichelns, Dennis. 2010. Embracing uncertainty to improve water management, with examples from seven river basins. Review essay on "Mysiak, J.; Henrikson, H. J.; Sullivan, C.; Bromley, J.; Pahl-Wostl, C. 2009. The adaptive water resource management handbook. London, UK: Earthscan" International Journal of Water Resources Development, 26(3):495-508. [doi: https://doi.org/10.1080/07900627.2010.489304]
(Location: IWMI HQ Call no: e-copy only Record No: H043029)
(0.18 MB)
7 UNEP. 2005. Facing the facts: assessing the vulnerability of Africa's water resources to environmental change. Nairobi, Kenya: UNEP. 63p. (UNEP/DEWA/RS.05-2)
(Location: IWMI HQ Call no: 333.91 G100 UNE Record No: H043905)
(0.11 MB)
8 Chisanga, C. B.; Mubanga, K. H.; Sichigabula, H.; Banda, K.; Muchanga, M.; Ncube, L.; van Niekerk, H. J.; Zhao, B.; Mkonde, A. A.; Rasmeni, S. K. 2022. Modelling climatic trends for the Zambezi and Orange river basins: implications on water security. Journal of Water and Climate Change, 13(3):1275-1296. [doi: https://doi.org/10.2166/wcc.2022.308]
(Location: IWMI HQ Call no: e-copy only Record No: H050948)
(1.23 MB) (1.23 MB)
Climate change impacts are dependent on changes in air temperature, rainfall (frequency and amount) and climate indices, which are highly certain. Climate extreme indices are important metrics that are used to communicate the impacts of climate change. The CORDEX African-domain RCM (SMHI-RCA4) run by seven CMIP5 (CCCma-CanESM2, IPSL-IPSL-CM5A-MR, MIROC-MIROC5, MPI-M-MPI-ESM-LR, NCC-NorESM1-M, MOHC-HadGEM2-ES and NOAA-GFDL-GFDL-ESM2M) and two representative concentration pathways (RCP4.5 and RCP8.5) were used in this study. The future climate change is analysed relative to 2020–2050/1970–2000 using a multi-model ensemble projection. Selected climate indices were analysed using a multi-model ensemble of CMIP5 GCMs (GFDL-ESM2G, HadGEM2-ES and IPSL-CM5A-MR). The climate data operators (CDOs) were used in merging and manipulating the modelled (RCM) data and ETCCDI climate indices. The Mann–Kendall was used to compute the trends in time-series data at p < 0.05. Results indicate that temperature will increase in the Orange and Zambezi River Basins. Rainfall shows variability in both river basins. The temperature-based indices (tn90pETCCDI, tnnETCCDI, tnxETCCDI, tx90pETCCDI, txnETCCDI and txxETCCDI) were statistically significant with positive linear trends. The dtrETCCDI and wsdiETCCDI were statistically significant with positive linear trends within the Zambezi River Basin. csdiETCCDI and tn10pETCCDI were statistically significant with negative trends in both basins. The change in rainfall, temperature and climate indices will have implications on agricultural production, provisions of various ecosystem services, human health, water resources, hydrology, water security, water quality and quantity. The climate extreme indices can assist in analysing regional and global extremes in meteorological parameters and assist climate, and crop modellers and policymakers in assessing sectoral impacts.
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