Your search found 22 records
1 Smakhtin, V. Y.; Hughes, D. A.; Creuse-Naudin, E. 1997. Regionalization of daily flow characteristics in part of the Eastern Cape, South Africa. Hydrological Sciences Journal, 42(6):919-936.
(Location: IWMI-HQ Call no: P 5875 Record No: H028954)
http://www.informaworld.com/smpp/ftinterface~content=a918073584~fulltext=713240930~frm=content
https://vlibrary.iwmi.org/pdf/H028954.pdf
https://vlibrary.iwmi.org/pdf/H028954.pdf
2 Smakhtin, V. Y.; Sami, K.; Hughes, D. A.. 1998. Evaluating the performance of a deterministic daily rainfall-runoff model in a low-flow context. Hydrological Processes, 12:797-811.
(Location: IWMI-HQ Call no: P 5877 Record No: H028956)
3 Smakhtin, V. Y.; Watkins, D. A.; Hughes, D. A.; Sami, K.; Smakhina, O. Y. 1998. Methods of catchment-wide assessment of daily low-flow regimes in South Africa. Water SA, 24(3):173-185.
(Location: IWMI-HQ Call no: P 5878 Record No: H028957)
4 Smakhtin, V. Y,; Watkins, D. A.; Hughes, D. A.. 1995. Preliminary analysis of low-flow characteristics of South African rivers. Water SA, 21(3):201-210.
(Location: IWMI-HQ Call no: P 5881 Record No: H028960)
5 Hughes, D. A.; Smakhtin, V. 1996. Daily flow time series patching or extension: A spatial interpolation approach based on flow duration curves. Hydrological Sciences Journal, 41(6):851-871.
(Location: IWMI-HQ Call no: P 5888 Record No: H028968)
6 Hughes, D. A.; Keeffe, J. O.; Smakhtin, V.; King, J. 1997. Development of an operating rule model to simulate time series of reservoir releases for instream flow requirements. Water SA, 23(1):21-30.
(Location: IWMI-HQ Call no: P 5889 Record No: H028969)
(1.22 MB)
7 Hughes, D. A.. 1994. HYMAS v1.0 - A hydrological modelling application system: Guide to the system and user manual. Unpublished report prepared for the Water Research Commission, for part of a project on the development of methods for the application of hydrological models. v, 79p. + appendix.
Hydrology ; Simulation models ; Computer models ; GIS ; Flow ; Analysis ; Rain ; Runoff ; Statistical analysis
(Location: IWMI-HQ Call no: P 6014 Record No: H030020)
8 Hughes, D. A.; Stone, A. W. (Eds.) 1987. Proceedings of the 1987 Hydrological Sciences Symposium, Rhodes University, Grahamstown, South Africa, 6-9 September 1987. Volume I. Grahamstown, South Africa: Rhodes University. ix, 381p.
Hydrology ; Groundwater development ; Water resources development ; Precipitation ; Rain ; Runoff ; Models ; Catchment areas ; Sedimentation ; Rivers ; Salinity ; Water quality ; Reservoir operation ; Aquifers / South Africa / Namibia
(Location: IWMI-HQ Call no: 551.48 G000 HUG Record No: H030492)
9 Hughes, D. A.; Stone, A. W. (Eds.) 1987. Proceedings of the 1987 Hydrological Sciences Symposium, Rhodes University, Grahamstown, South Africa, 6-9 September 1987. Volume II. Grahamstown, South Africa: Rhodes University. pp.381-774.
Hydrology ; Recharge ; Groundwater ; Models ; Conjunctive use ; Water supply ; Aquifers ; Remote sensing ; Catchment areas ; Water deficit ; Irrigation ; Runoff ; Rain ; Data collection ; Mapping / South Africa
(Location: IWMI-HQ Call no: 551.48 G000 HUG Record No: H030501)
10 Wilk, J.; Hughes, D. A.. 2002. Simulating the impacts of land-use and climate change on water resource availability for a large South Indian catchment. Hydrological Sciences Journal, 47(1):19-30.
Catchment areas ; Land use ; Climate ; Water resources ; Hydrology ; Runoff ; Models / India / Tamil Nadu
(Location: IWMI-HQ Call no: P 6175 Record No: H031160)
11 Wilk, J.; Hughes, D. A.. 2002. Calibrating a rainfall-runoff model for a catchment with limited data. Hydrological Sciences Journal, 47(1):3-17.
Rainfall-runoff relationships ; Simulation models ; Stream flow ; Precipitation / India / Upper Bhavani River Basin
(Location: IWMI-HQ Call no: P 6176 Record No: H031161)
12 Hughes, D. A.; Hannart, P. 2003. A desktop model used to provide an initial estimate of the ecological instream flow requirements of rivers in South Africa. Journal of Hydrology, 270:167-181.
(Location: IWMI-HQ Call no: P 6522 Record No: H032773)
13 Smakhtin, Vladimir U.; Hughes, D. A.. 2004. Review, automated estimation and analyses of drought indices in South Asia. Colombo, Sri Lanka: International Water Management Institute (IWMI) v, 24p. (IWMI Working Paper 083: Drought series paper 1) [doi: https://doi.org/10.3910/2009.255]
Drought ; Estimation ; Analysis ; Automation ; Models ; Computer software ; Soil moisture ; Precipitation ; Water supply ; Rain / South Asia
(Location: IWMI-HQ Call no: IWMI 338.14 G570 SMA Record No: H035616)
(1037 KB)
14 Sami, K.; Hughes, D. A.. 1996. A comparison of recharge estimates to a fractured sedimentary aquifer in South Africa from a chloride mass balance and an integrated surface-subsurface model. Journal of Hydrology, 179:111-136.
(Location: IWMI-HQ Call no: P 6964 Record No: H035155)
15 Hughes, D. A.. 2001. Providing hydrological information and data analysis tools for the determination of ecological instream flow requirements for South African rivers. Journal of Hydrology, 241:140-151.
(Location: IWMI-HQ Call no: PER Record No: H037881)
16 Smakhtin, Vladimir; Shilpakar, R. L.; Hughes, D. A.. 2006. Hydrology-based assessment of environmental flows: an example from Nepal. Hydrological Sciences Journal, 51(2):207-222.
Environmental impact assessment ; Hydrology ; Simulation ; Rivers ; Time series analysis ; Water resource management ; Planning ; Water allocation ; River basin development / Nepal
(Location: IWMI-HQ Call no: IWMI 551.483 G726 SMA Record No: H039243)
http://www.informaworld.com/smpp/ftinterface~content=a918693438~fulltext=713240930~frm=content
https://vlibrary.iwmi.org/pdf/H039243.pdf
https://vlibrary.iwmi.org/pdf/H039243.pdf
17 Smakhtin, Vladimir; Hughes, D. A.. 2007. Automated estimation and analyses of meteorological drought characteristics from monthly rainfall data. Environmental Modelling and Software, 22:880-890.
Drought ; Estimation ; Precipitation ; Indicators ; Rain ; Time series ; Computer software ; Hydrology ; Models
(Location: IWMI-HQ Call no: IWMI 551.5773 G178 SMA Record No: H039733)
18 Hughes, D. A.; Sami, K.; Murdoch, K. A. 1993. Hydrological models: development and application. Pretoria, South Africa: Water Research Commission. 216p. (WRC Report No.235/1/93)
Hydrology ; Simulation models ; Reservoirs ; Catchment areas ; Infiltration ; Recharge ; Stream flow / South Africa
(Location: IWMI HQ Call no: 551.48 G178 HUG Record No: H040404)
19 Pienaar, G. W.; Hughes, D. A.. 2017. Linking hydrological uncertainty with equitable allocation for water resources decision-making. Water Resources Management, 31(1):269-282. [doi: https://doi.org/10.1007/s11269-016-1523-3]
Water resources ; Water allocation ; Decision making ; Hydrology ; Uncertainty ; Water users ; Water demand ; Water balance ; Water supply ; Water deficit ; Catchment areas ; Stream flow ; Reservoir storage ; Environmental flows ; Models / South Africa
(Location: IWMI HQ Call no: e-copy only Record No: H048026)
(1.51 MB)
Water resources allocation decisions have always been subject to uncertainty, but it has rarely been explicitly included. Greater competition for scarce resources and future uncertainties in supply suggest that risk estimates are required for different management decisions. Models are often used to generate information that can be used in decision making and a water allocation model is presented that is linked to an existing hydrological model that generates uncertainty ensembles and a model that generates environmental water requirements. The allocations are based on socio-economic values that quantify the impact of deficits in normal supply during dry periods when available water is reduced. It is designed to be flexible in terms of how allocations are made during deficit periods and provides outputs that account for the uncertainties in the input hydrological data. Two examples are provided to illustrate the application of the model and it is concluded that the outputs should be useful when combined with emerging approaches to uncertain decision-making and the identification of risk. The model is part of a broader project that aims to improve the way that uncertainty is dealt with in water resources decision-making.
20 Ndzabandzaba, C.; Hughes, D. A.. 2017. Regional water resources assessments using an uncertain modelling approach: the example of Swaziland. Journal of Hydrology: Regional Studies, 10:47-60. [doi: https://doi.org/10.1016/j.ejrh.2017.01.002]
Water resources ; Assessment ; Groundwater recharge ; Water use ; Hydrology ; Models ; Uncertainty ; Constraints ; Performance evaluation ; River basins ; Stream flow ; Runoff / Swaziland / South Africa / Mbuluzi River Basin / Ngwavuma River Basin / Usuthu River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H048093)
http://www.sciencedirect.com/science/article/pii/S2214581817300149/pdfft?md5=2c5257d4d0d21901040683c7a4f44e48&pid=1-s2.0-S2214581817300149-main.pdf
https://vlibrary.iwmi.org/pdf/H048093.pdf
https://vlibrary.iwmi.org/pdf/H048093.pdf
(3.10 MB) (3.10 MB)
Study region: The 5 river basins that flow through or within Swaziland in southern Africa.
Study focus: A regional water resource assessment using an uncertainty version of the Pitman monthly rainfall-runoff model whose outputs are constrained by six indices of natural hydrological response (mean monthly runoff, mean monthly groundwater recharge, Q10, Q50 and Q90 percentage points of the flow duration curve and% time of zero flows) for each of the 122 sub-basins within the whole of Swaziland. A 2-step approach is adopted where the first step establishes behavioural, but uncertain, model parameter ranges for natural incremental sub-basin hydrological responses, while the second step links all the sub-basin outputs to generate cumulative sub-basin outflows and allows for water use parameters to be included.
New hydrological insights for this region: The analysis of hydrological indices highlights the regional variations in hydrological processes and sub-basin response. The adopted modelling approach provides further insight into all of the uncertainties associated with quantifying the available water resources of Swaziland. The study has provided more insight into the spatial variability of the hydrological response and existing development impacts than was previously available. These new insights should provide an improved basis for future water management in Swaziland.
Study focus: A regional water resource assessment using an uncertainty version of the Pitman monthly rainfall-runoff model whose outputs are constrained by six indices of natural hydrological response (mean monthly runoff, mean monthly groundwater recharge, Q10, Q50 and Q90 percentage points of the flow duration curve and% time of zero flows) for each of the 122 sub-basins within the whole of Swaziland. A 2-step approach is adopted where the first step establishes behavioural, but uncertain, model parameter ranges for natural incremental sub-basin hydrological responses, while the second step links all the sub-basin outputs to generate cumulative sub-basin outflows and allows for water use parameters to be included.
New hydrological insights for this region: The analysis of hydrological indices highlights the regional variations in hydrological processes and sub-basin response. The adopted modelling approach provides further insight into all of the uncertainties associated with quantifying the available water resources of Swaziland. The study has provided more insight into the spatial variability of the hydrological response and existing development impacts than was previously available. These new insights should provide an improved basis for future water management in Swaziland.
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