Your search found 45 records
1 Institute of Water and Sanitation Development (IWSD). 2010. 11th WaterNet/WARFSA/GWP-SA Symposium, Victoria Falls, Zimbabwe, 27-29 October 2010. IWRM for national and regional integration: where science, policy and practice meet: hydrology. Harare, Zimbabwe: Institute of Water and Sanitation Development (IWSD). 630p.
Hydrogeology ; Groundwater recharge ; Erosion ; Sloping land ; Evaporation ; Remote sensing ; Neural networks ; River basins ; Lakes ; Climate change ; Simulation models ; Stream flow ; Forecasting ; GIS ; Rain ; Hydrometeorology ; Water balance ; Aquifers ; Rainfall-runoff relationships ; Evapotranspiration ; Irrigated farming ; Sugarcane ; Dams ; Reservoirs ; Floodplains / Africa / Mozambique / South Africa / Zimbabwe / Zambia / Tanzania / Kenya / Swaziland / Africa South of Sahara / Nhandugue River / Lake Mutirikwi / Kalahari System / Barotse Sub-Basin / Zambezi River Basin / Thukela River Basin / Condo Dam catchment / Barotse River Basin / Lake Victoria / Limpopo River Basin / Vondo Dam / Dorowa Flood Plain / Wami River Basin / Mkindo Catchment / Bulawayo Aquifer / Kabompo River Basin / Mara River Basin / Luvuvhu River Catchment / Sand River / Middle Letaba Dam / Congo River Basin / Kafue River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H043406)
http://www.waternetonline.ihe.nl/11thSymposium/HydrologyFullPapers2010.pdf
https://vlibrary.iwmi.org/pdf/H043406.pdf
https://vlibrary.iwmi.org/pdf/H043406.pdf
(20.14 MB) (20.13 MB)
2 Shaw, E. M.; Beven, K. J.; Chappell, N. A.; Lamb, R. 2011. Hydrology in practice. 4th ed. London, UK: Spon Press. 543p.
Hydrology ; Measurement ; Analysis ; Hydrological cycle ; Hydrometeorology ; Evaporation ; Evapotranspiration ; Precipitation ; Aquifers ; Climate change ; Networks ; Rain ; Hydraulic conductivity ; Moisture content ; Rivers ; Flow ; Water quality ; Models ; Soil water content ; Flooding ; Risk management ; Drought ; Runoff ; Groundwater ; Water resource management ; Policy ; Legal aspects ; Remote sensing / UK
(Location: IWMI HQ Call no: 551.48 G000 SHA Record No: H043491)
(0.42 MB)
3 Schuurmans, J. M. 2008. Hydrological now- and forecasting: integration of operationally available remotely sensed and forecasted hydrometeorological variables into distributed hydrological models. Thesis. Utrecht, Netherlands: Royal Dutch Geographical Society; Utrecht, Netherlands: Utrecht University. Faculty of Geosciences. 154p. (Netherlands Geographical Studies 379)
Hydrology ; Simulation models ; Soil moisture ; Rain ; Evapotranspiration ; Remote sensing ; Forecasting ; Meteorology ; Climate ; Hydrometeorology
(Location: IWMI HQ Call no: D 551.57 G000 SCH Record No: H043652)
(0.33 MB)
Computer simulation models are an important tool for hydrologists. With these models they can predict how rainfall is distributed over the different hydrological variables (discharge, soil moisture and groundwater). This way they can retrieve spatially distributed information that is important for water management, like when to start or stop irrigation gifts or how much water potentially can be stored in a catchment. The spatial resolution of these models has increased considerably the last 30 years as a result of increased computer capacity and development of GIS. At the same time, information based on remote sensing techniques has become more easily available and its quality improved. These remote sensing data (for example rainfall radar and evapotranspiration images based on satellite data) can be used as input and validation sources for the hydrological models. Besides, meteorologists developed numerical weather prediction models, which outcomes (e.g. rainfall forecasts) can be used by hydrologist in order to make hydrological forecasts of for example groundwater level or soil moisture availability. However, in practice these data are not commonly used due to outstanding questions which formed the research questions of this thesis: 1. Does the accuracy of the hydrological models improve when using rainfall radar data and satellite based evapotranspiration fields? 2. Is it feasible to accurately predict the spatial distribution of soil moisture by using rainfall forecasts of numerical weather prediction model as input for a hydrological model? To answer these questions we set up a coherent framework to integrate hydrometeorological variables into spatially-distributed models: the Hydrological Now and Forecasting System (HNFS). The main conclusions of this research are that it is important to take into account the spatial distribution of rainfall in order to get insight in the day-to-day variability of the hydrological system. Using rainfall radar together with rain gauges generates better rainfall fields than using rain gauges only. Besides, information about spatial patterns of satellite based evapotranspiration helps to detect potential model errors. Finally, we found that the accumulated rainfall in our study period (March-Nov 2006) was forecasted very well. However, the spatial variation shown by measured rainfall is not taken into account by rainfall forecasts (due to the lower spatial resolution of numerical weather prediction models). This leads to a spatial bias of forecasted hydrological variables that resembles the spatial pattern in total rainfall within the study area. This study has shown how remotely sensed and forecasted hydrometeorological variables can be integrated into distributed hydrological models. As this study is based on real data, it has shown the potentials and limitations of applying a system like the HNFS in practice. Finally, considerations about future implementation of this system are given.
4 Marsalek, J.; Stancalie, G.; Balint, G. (Eds.) 2006. Transboundary floods: reducing risks through flood management. Dordrecht, Netherlands: Springer. 336p. (NATO Science Series IV - Earth and Environmental Sciences, vol. 72)
Flood control ; Forecasting ; Disasters ; Risks ; International waters ; River basins ; Remote sensing ; GIS ; Discharges ; Hydrometeorology ; Hydrology ; Telemetry ; Sensors ; Land use mapping ; Models ; Weather forecasting ; Rainfall-runoff relationships ; Urban areas ; History ; Decision making ; Dykes ; Disaster preparedness ; Reservoirs ; International cooperation / Czech Republic / Azerbaijan / Romania / Hungary / Koros River Basin / Upper Tisza Region / Crisul Alb River Basin / Crisul Negru River Basin / Hron River Basin / Crisul Repede River Basin
(Location: IWMI HQ Call no: 551.489 G000 MAR Record No: H043960)
(0.13 MB)
5 Melesse, A. M. (Ed.) 2011. Nile river basin: hydrology, climate and water use. Dordrecht, Netherlands: Springer. 419p.
Water management ; Water resources development ; River basin management ; Hydrology ; Water use ; Climate change ; Land use ; Land cover ; Rainfall-runoff relationships ; Lakes ; Hydrometeorology ; Simulation models ; Water budget ; Water balance ; Water demand ; Water quality ; Water availability ; Water allocation ; GIS ; Remote sensing ; Satellite observation ; Watersheds ; Evapotranspiration ; Flooding ; Erosion ; Mapping ; Livestock ; Water productivity ; Water power ; Environmental flows ; Soil salinity ; Irrigation schemes / Ethiopia / Nile River Basin / Atbara Sub Basin / Fogera Floodplain / Lake Tana / Mara River Basin
(Location: IWMI HQ Call no: 551.483 G136 MEL Record No: H044019)
6 Melesse, A. F.; Awulachew, Seleshi Bekele; McCornick, P. 2011. Introduction: hydrology of the Niles in the face of climate and land-use dynamics. In Melesse, A. M. (Ed.). Nile River Basin: hydrology, climate and water use. Dordrecht, Netherlands: Springer. pp.vii-xxvii.
Hydrology ; River basins ; Climate change ; Land use ; Land cover change ; Hydrometeorology / Ethiopia / Nile River Basin
(Location: IWMI HQ Call no: 551.483 G136 MEL Record No: H044020)
(0.40 MB)
7 Melesse, A. M.; Abtew, W.; Setegn, S. G.; Dessalegne, T. 2011. Hydrological variability and climate of the Upper Blue Nile River Basin. In Melesse, A. M. (Ed.). Nile River Basin: hydrology, climate and water use. Dordrecht, Netherlands: Springer. pp.3-37.
Hydrology ; Climate change ; River basins ; Rain ; Statistics ; Hydrometeorology ; Air temperature ; Topography ; Agroclimatic zones ; Soils ; Lakes ; Flow / Ethiopia / Upper Blue Nile River Basin / Lake Tana
(Location: IWMI HQ Call no: 551.483 G136 MEL Record No: H044021)
8 Mango, L. M.; Melesse, A. M.; McClain, M. E.; Gann, D.; Setegn, S. G. 2011. Hydro-meteorology and water budget of the Mara River Basin under land use change scenarios. In Melesse, A. M. (Ed.). Nile River Basin: hydrology, climate and water use. Dordrecht, Netherlands: Springer. pp.39-68.
Hydrometeorology ; Water budget ; Water balance ; River basins ; International waters ; Land use ; Land cover mapping ; Hydrology ; Models / Kenya / Tanzania / Mara River Basin
(Location: IWMI HQ Call no: 551.483 G136 MEL Record No: H044022)
9 Hoffman, C.; Melesse, A. M.; McClain, M. E. 2011. Geospatial mapping and analysis of water availability, demand and use within the Mara River Basin. In Melesse, A. M. (Ed.). Nile River Basin: hydrology, climate and water use. Dordrecht, Netherlands: Springer. pp.359-382.
Water availability ; Water demand ; Water use ; Water supply ; River basins ; GIS ; Mapping ; Rain ; Irrigated farming ; Hydrometeorology / Eastern Africa / Kenya / Tanzania / Mara River Basin
(Location: IWMI HQ Call no: 551.483 G136 MEL Record No: H044038)
10 Yilmaz, K. K.; Yucel, I.; Gupta, H.V.; Wagener, T.; Yang, D.; Savenjie, H.; Neale, C.; Kunstmann, H.; Pomeroy, J. (Eds.) 2009. New approaches to hydrological prediction in data-sparse regions: proceedings of symposium HS.2 at the Joint Convention of the International Association of Hydrological Sciences (IAHS) and the International Association of Hydrogeologists (IAH), Hyderabad, India, 6-12 September 2009. Wallingford, UK: International Association of Hydrological Sciences (IAHS). 342p. (IAHS Publication 333)
Hydrological factors ; Simulation models ; River basins ; Calibration ; Remote sensing ; Hydrometeorology ; Climate change ; Forecasting ; Rainfall-runoff relationships ; Flooding ; Drought ; Water balance ; Precipitation ; Case studies ; Evapotranspiration ; Satellite surveys ; Satellite imagery ; Catchment areas ; Groundwater ; Data ; Monitoring ; Macropores ; Vegetation ; Downstream ; Watersheds ; Analytical methods / Iran / West Africa / South Africa / China / India / Peru / USA / Brazil / Botswana / Karkheh River Basin / River Bani / Yellow River / Hanjiang Basin / Sahel / Kaidu River Basin / Laohahe River Basin / Peruvian Amazon-Andes Basin / Arizona / San Francisco River Basin / Brahmaputra River Basin / Limpopo River Basin
(Location: IWMI HQ Call no: 551.48 G000 YIL Record No: H044653)
(0.44 MB)
11 Mujumdar, P. P. 2012. Hydro-meteorological impacts of climate change. In Centre for Space Science and Technology Education in Asia and the Pacific (CSSTEAP). International Training Course: Application of Space Technology for Disaster Risk Reduction. Lecture notes. Dehradun, India: Centre for Space Science and Technology Education in Asia and the Pacific (CSSTEAP). pp.387-397.
Climate change ; Flooding ; Drought ; Hydrometeorology ; Water availability ; Water quality ; Models
(Location: IWMI HQ Call no: IWMI Record No: H044908)
12 Centre for Space Science and Technology Education in Asia and the Pacific (CSSTEAP). 2012. International Training Course: Application of Space Technology for Disaster Risk Reduction. Lecture notes. Dehradun, India: Centre for Space Science and Technology Education in Asia and the Pacific (CSSTEAP). 432p.
Natural disasters ; Risk management ; Socioeconomic development ; Remote sensing ; Mapping ; Meteorology ; GIS ; Satellite surveys ; Forecasting ; Image processing ; Data analysis ; Global positioning systems ; Flooding ; Drought ; Monitoring ; Earthquakes ; Landslides ; Tsunamis ; Early warning systems ; Weather forecasting ; Hydrometeorology ; Space ; Technology
(Location: IWMI HQ Call no: 363.34 G000 CEN Record No: H044954)
(0.41 MB)
13 Zemadim, Birhanu; McCartney, Matthew; Langan, Simon; Sharma, Bharat. 2013. A participatory approach for hydro-meteorological monitoring in the Blue Nile Basin of Ethiopia. In UNESCO-IHE Institute for Water Education. Conference on New Nile Perspectives Scientific Advances in the eastern Nile Basin, Khartoum, Sudan 6-8 May 2013. Advance copy of extended abstracts. Delft, Netherlands: UNESCO-IHE Institute for Water Education. pp.97-101.
River basins ; Hydrometeorology ; Monitoring ; Participatory approaches ; Watersheds ; Rain ; Soil moisture ; Stakeholders / Ethiopia / Blue Nile Basin
(Location: IWMI HQ Call no: e-copy only Record No: H046104)
(0.21 MB)
14 Sene, K. 2010. Hydrometeorology: forecasting and applications. London, UK: Springer. 355p.
Hydrometeorology ; Hydrology ; Weather forecasting ; Radar satellite ; Meteorological stations ; Climate change ; Rain ; Runoff ; Water levels ; Water quality ; Water supply ; Water power ; Water demand ; Rivers ; Flow discharge ; Catchment areas ; Monitoring ; Models ; Energy generation ; Decision support systems ; Flooding ; Drought ; Snowmelt ; Reservoirs ; Dams ; Drainage systems ; Environmental impact ; Lakes ; Risk management ; Early warning systems
(Location: IWMI HQ Call no: 551.57 G000 SEN Record No: H046312)
(0.35 MB)
15 Zemadim, B.; McCartney, Matthew; Langan, Simon; Sharma, Bharat. 2013. A participatory approach for hydrometeorological monitoring in the Blue Nile River Basin of Ethiopia. Colombo, Sri Lanka: International Water Management Institute (IWMI). 32p. (IWMI Research Report 155) [doi: https://doi.org/10.5337/2014.200]
Hydrometeorology ; Monitoring ; Participatory approaches ; Networks ; Meteorological stations ; River basins ; Watersheds ; Groundwater ; Water level ; Rainwater management ; Flooding ; Local communities ; Stakeholders ; Soil moisture / Ethiopia / Blue Nile River Basin / Dapo Watershed / Meja Watershed / Mizewa watershed
(Location: IWMI HQ Call no: IWMI Record No: H046390)
(1 MB)
Participatory research is increasingly recognized as being useful for conducting multiple activities in research for development projects. The co-learning environment created in participatory research helps to identify existing social and technological gaps, and develop possible solutions to improve the livelihoods of rural communities. This report describes a participatory approach used in the establishment and implementation of hydrometeorological monitoring networks in the Blue Nile River Basin of Ethiopia. The networks were established with the involvement of rural communities and other stakeholders to gain insights into the hydrological processes of the watersheds, in order to improve rainwater management strategies. Local people were involved in the day-to-day management and maintenance of the networks. The participatory approach proved beneficial for several reasons, not least, because it instilled trust and goodwill amongst the communities.
16 Ismail-Zadeh, A.; Fucugauchi, J. U.; Kijko, A.; Takeuchi, K.; Zaliapin, I. (Eds.) 2014. Extreme natural hazards, disaster risks and societal implications. Cambridge, UK: Cambridge University Press. 402p. (Special Publications of the International Union of Geodesy and Geophysics Series 1) [doi: https://doi.org/10.1017/CBO9781139523905]
Natural disasters ; Disaster risk management ; Environmental impact assessment ; Climate change ; Early warning systems ; Volcanic eruptions ; Earthquakes ; Landslides ; Hurricanes ; Tsunamis ; Flooding ; Sea level ; Ecosystems ; Models ; Precipitation ; Weather forecasting ; Hydrometeorology ; Geological process ; Satellite observation ; Remote sensing ; Socioeconomic aspects ; Capacity building ; Educational institutions ; Case studies ; Public-private cooperation / South America / Latin America / Africa / Middle East / Africa South of Sahara / Asia Pacific Region / Saudi Arabia / Iran / Thailand / Caribbean / Mexico / Madagascar / Australia / China / Japan / India / Afar Region / Mediterranean Region / Chao Phraya River / Wenchuan / Tohoku
(Location: IWMI HQ Call no: 363.34 G000 ISM Record No: H046897)
(0.51 MB)
17 Galelli, S.; Castelletti, A.; Goedbloed, A. 2015. High-performance integrated control of water quality and quantity in urban water reservoirs. Water Resources Research, 51(11):9053-9072. [doi: https://doi.org/10.1002/2015WR017595]
Water quality control ; Reservoir operation ; Water management ; Simulation models ; Techniques ; Hydrodynamics ; Urban areas ; Water supply ; Drinking water ; Salinity control ; Hydrometeorology / Singapore / Marina Reservoir
(Location: IWMI HQ Call no: e-copy only Record No: H047443)
(3.82 MB)
This paper contributes a novel High-Performance Integrated Control framework to support the real-time operation of urban water supply storages affected by water quality problems. We use a 3-D, high- fidelity simulation model to predict the main water quality dynamics and inform a real-time controller based on Model Predictive Control. The integration of the simulation model into the control scheme is performed by a model reduction process that identifies a low-order, dynamic emulator running 4 orders of magnitude faster. The model reduction, which relies on a semiautomatic procedural approach integrating time series clustering and variable selection algorithms, generates a compact and physically meaningful emulator that can be coupled with the controller. The framework is used to design the hourly operation of Marina Reservoir, a 3.2 Mm3 storm-water-fed reservoir located in the center of Singapore, operated for drinking water supply and flood control. Because of its recent formation from a former estuary, the reservoir suffers from high salinity levels, whose behavior is modeled with Delft3D-FLOW. Results show that our control framework reduces the minimum salinity levels by nearly 40% and cuts the average annual deficit of drinking water supply by about 2 times the active storage of the reservoir (about 4% of the total annual demand).
18 Shrestha, M. S.; Grabs, W. E.; Khadgi, V. R. 2015. Establishment of a regional flood information system in the Hindu Kush Himalayas: challenges and opportunities. International Journal of Water Resources Development, 31(2):238-252. (Special Issue: Himalayan Waters at the Crossroads). [doi: https://doi.org/10.1080/07900627.2015.1023891]
Flood control ; Information systems ; Early warning systems ; International cooperation ; Risk management ; Natural disasters ; Monitoring ; Forecasting ; Hydrometeorology ; River basins / Nepal / India / Bangladesh / Pakistan / Hindu Kush Himalayas
(Location: IWMI HQ Call no: e-copy only Record No: H047480)
http://www.tandfonline.com/doi/pdf/10.1080/07900627.2015.1023891
https://vlibrary.iwmi.org/pdf/H047480.pdf
https://vlibrary.iwmi.org/pdf/H047480.pdf
(0.75 MB) (764 KB)
Rapid advances in communication technology are making access to information faster, more reliable, and cheaper. At the same time, hydrological and meteorological monitoring technologies continue to improve significantly. These technological advances can be exploited to promote regional cooperation for flood risk reduction in the Hindu Kush Himalayas by providing an end-to-end flood information system. The system will function as a decision support tool for decision makers to alert vulnerable communities in a timely and accurate manner. This article provides an example of how regional cooperation has been achieved and is being promoted in the Hindu Kush Himalayas through the development of a regional flood information system.
19 Savean, M.; Delclaux, F.; Chevallier, P.; Wagnon, P.; Gonga-Saholiariliva, N.; Sharma, R.; Neppel, L.; Arnaud, Y. 2015. Water budget on the Dudh Koshi River (Nepal): uncertainties on precipitation. Journal of Hydrology, 531(Part 3):850-862. [doi: https://doi.org/10.1016/j.jhydrol.2015.10.040]
Water budget ; Water resources ; River basins ; Precipitation ; Uncertainty ; Snow cover ; Glaciers ; Hydrology ; Models ; Satellite observation ; Air temperature ; Evapotranspiration ; Discharges ; Hydrometeorology ; Mountains / Nepal / Central Himalaya / Dudh Koshi River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H047603)
(1.47 MB)
Although vital for millions of inhabitants, Himalayan water resources remain currently poorly known, mainly because of uncertainties on hydro-meteorological measurements. In this study, the authors propose a new assessment of the water budget components of the Dudh Koshi River basin (3720 km2 , Eastern Nepal), taking into account the associated uncertainties. The water budget is studied through a cross analysis of field observations with the result of a daily hydrological conceptual distributed snow model. Both observed datasets of spatialized precipitations, interpolated with a co-kriging method, and of discharge, provided by the hydrological agency of Nepal, are completed by reanalysis data (NCEP/NCAR) for air temperature and potential evapotranspiration, as well as satellite snow products (MOD10A2) giving the dynamics of the snow cover area. According to the observation, the water budget on the basin is significantly unbalanced; it is attributed to a large underestimation of precipitation, typical of high mountain areas. By contrast, the water budget simulated by the modeling approach is well balanced; it is due to an unrealistic overestimation of the glacier melt volume. A reversing method led to assess the precipitation underestimation at around 80% of the annual amount. After the correction of the daily precipitation by this ratio, the simulated fluxes of rainfall, icemelt, and snowmelt gave 63%, 29%, and 8% of the annual discharge, respectively. This basin-wide precipitation correction is likely to change in respect to topographic or geographic parameters, or in respect to seasons, but due to an insufficient knowledge of the precipitation spatial variability, this could not be investigated here, although this may significantly change the respective proportions for rain, ice or snow melt.
20 Amarnath, Giriraj; Alahacoon, Niranga; Gismalla, Y.; Mohammed, Y.; Sharma, Bharat R.; Smakhtin, Vladimir. 2016. Increasing early warning lead time through improved transboundary flood forecasting in the Gash River Basin, Horn of Africa. In Adams, T. E. III; Pagano, T. C. (Eds.). Flood forecasting: a global perspective. London, UK: Academic Press. pp.183-200.
International waters ; Weather forecasting ; Flooding ; Early warning systems ; Rainfall-runoff relationships ; Hydrology ; Hydrometeorology ; Topography ; Models ; Calibration ; River basins ; Flow discharge ; Hydrography ; Catchment areas ; Satellite observation ; Spatial database / Horn of Africa / Sudan / Ethiopia / Eritrea / Gash River Basin / Kassala
(Location: IWMI HQ Call no: e-copy only Record No: H047695)
(1.09 MB)
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