A Conceptual Flash Flood Early Warning System for Africa, Based on Terrestrial Microwave Links and Flash Flood Guidance

ISPRS International Journal of Geo-Information - Tập 3 Số 2 - Trang 584-598
Joost Hoedjes1, A. Kooiman2, B.H.P. Maathuis3, Mohammed Y. Said1, R. Becht3, Agnes Limo4, Mark Mumo4, Joseph Nduhiu-Mathenge4, A. Shaka5, Zhongbo Su3
1International Livestock Research Institute, P.O. Box 30709, Nairobi, 00100, Kenya
2SERVIR Africa, NASA-RCMRD, 00618 Roysambu Kasarani, Nairobi, Kenya
3Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7514 AE Enschede, the Netherlands
4Safaricom, 00800 Nairobi, Kenya
5Kenya Meteorological Department, 00100 Nairobi, Kenya

Tóm tắt

A conceptual flash flood early warning system for developing countries is described. The system uses rainfall intensity data from terrestrial microwave communication links and the geostationary Meteosat Second Generation satellite, i.e., two systems that are already in place and operational. Flash flood early warnings are based on a combination of the Flash Flood Guidance method and a hydrological model. The system will be maintained and operated through a public-private partnership, which includes a mobile telephone operator, a national meteorological service and an emergency relief service. The mobile telephone operator acts as both the supplier of raw input data and the disseminator of early warnings. The early warning system could significantly reduce the number of fatalities due to flash floods, improve the efficiency of disaster risk reduction efforts and play an important role in strengthening the resilience to climate change of developing countries in Africa. This paper describes the system that is currently being developed for Kenya.

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Tài liệu tham khảo

UNISDR Available online:http://www.unisdr.org/archive/31685.

NOAA Available online:http://www.meted.ucar.edu.

Norbiato, 2007, Regional frequency analysis of extreme precipitation in the eastern Italian Alps and the August 29, 2003 flash flood, J. Hydrol., 345, 149, 10.1016/j.jhydrol.2007.07.009

The Government Office for Science (2012). Foresight Reducing Risks of Future Disasters: Priorities for Decision Makers, Final Project Report.

Marchi, 2010, Characterisation of selected extreme flash floods in Europe and implications for flood risk management, J. Hydrol., 394, 118, 10.1016/j.jhydrol.2010.07.017

Norbiato, 2008, Flash flood warning based on rainfall thresholds and soil moisture conditions: An assessment for gauged and ungauged basins, J. Hydrol., 362, 274, 10.1016/j.jhydrol.2008.08.023

Grabs, W.E. Regional Flash Flood Guidance and Early Warning System. Available online:http://www.wmo.int/pages/prog/hwrp/rwgh/RA_II/documents/FFGS_FINAL_GRABS.pdf.

Liechti, 2013, The potential of radar-based ensemble forecasts for flash-flood early warning in the southern Swiss Alps, Hydrol. Earth Syst. Sci., 17, 3853, 10.5194/hess-17-3853-2013

Vrieling, 2010, Satellite-based estimation of rainfall erosivity for Africa, J. Hydrol., 395, 235, 10.1016/j.jhydrol.2010.10.035

Xue, 2013, Statistical and hydrological evaluation of TRMM-based Multi-satellite Precipitation Analysis over the Wangchu Basin of Bhutan: Are the latest satellite precipitation products 3B42V7 ready for use in ungauged basins?, J. Hydrol., 499, 91, 10.1016/j.jhydrol.2013.06.042

Heinemann, T., Latanzio, A., and Roveda, F. The EUMETSAT Multi-Sensor Precipitation Estimate (MPE). Available online:http://oiswww.eumetsat.int/~idds/html/doc/IPWG_2002_MPE.pdf.

Heinemann, T., and Kerényi, J. The EUMETSAT Multi Sensor Precipitation Estimate (MPE): Concept and Validation. Available online:http://www.isac.cnr.it/~ipwg/meetings/monterey-2004/pres/Heinemann/mpef/pdf/EUMETSAT_UC2003_MPE.pdf.

Cotton, W.R., Bryan, G.H., and van den Heever, S.C. (2011). Storm and Cloud Dynamics, Academic Press. [2nd ed.].

Scofield, 2003, Status and outlook of operational satellite precipitation algorithms for extreme-precipitation events, Weather Forecast., 18, 1037, 10.1175/1520-0434(2003)018<1037:SAOOOS>2.0.CO;2

Atlas, 1977, Path- and area-integrated rainfall measurement by microwave attenuation in the 1–3 cm band, J. Appl. Meteorol., 16, 1322, 10.1175/1520-0450(1977)016<1322:PAAIRM>2.0.CO;2

Upton, 2005, Microwave links: The future for urban rainfall measurement?, Atmos. Res., 77, 300, 10.1016/j.atmosres.2004.10.009

Messer, 2006, Environmental monitoring by wireless communication networks, Sci. New Ser., 312, 713

Leijnse, H., Uijlenhoet, R., and Stricker, J.N.M. (2007). Rainfall measurement using radio links from cellular communication networks. Water Resour. Res., 43.

Zinevich, 2008, Estimation of rainfall fields using commercial microwave communication networks of variable density, Adv. Water Resour., 31, 1470, 10.1016/j.advwatres.2008.03.003

Overeem, A., Leijnse, H., and Uijlenhoet, R. (2011). Measuring urban rainfall using microwave links from commercial cellular communication networks. Water Resour. Res., 47.

Overeem, 2013, Country-wide rainfall maps from cellular communication networks, Proc. Natl. Acad. Sci. USA, 110, 2741, 10.1073/pnas.1217961110

Carpenter, 1999, National threshold runoff estimation utilizing GIS in support of operational flash flood warning systems, J. Hydrol., 224, 21, 10.1016/S0022-1694(99)00115-8

Mogil, 1978, NWS’s flash flood warning and disaster preparedness programs, Bull. Am. Meteorol. Soc., 59, 690, 10.1175/1520-0477(1978)059<0690:NFFWAD>2.0.CO;2

Georgakakos, 2006, Analytical results for operational flash flood guidance, J. Hydrol., 317, 81, 10.1016/j.jhydrol.2005.05.009

GSMA Community Power from Mobile Available online:http://www.gsma.com/mobilefordevelopment/safaricom-kenya-feasibility-study.

Yang, 2008, Convective-stratiform precipitation variability at seasonal scale from 8 Yr of TRMM observations: Implications for multiple modes of diurnal variability, J. Clim., 21, 4087, 10.1175/2008JCLI2096.1

Olsen, 1978, The aRb relation in the calculation of rain attenuation, IEEE Trans. Antennas Propag., 26, 318, 10.1109/TAP.1978.1141845

Hoedjes, J.C.B., Maathuis, B.H.P., Said, M.Y., Becht, R., Kooiman, A., Limo, A., Mumo, M., Nduhiu-Mathenge, J., Shaka, A., and Su, Z. (2014). Towards real-time monitoring of convective rainfall over Kenya, using terrestrial microwave links and meteosat second generation. Remote Sens., in press.

Obled, 1994, The sensitivity of hydrological models to spatial rainfall patterns: An evaluation using observed data, J. Hydrol., 159, 305, 10.1016/0022-1694(94)90263-1

Norbiato, 2009, Flash flood warning in ungauged basins by use of the flash flood guidance and model-based runoff thresholds, Meteorol. Appl., 16, 65, 10.1002/met.126

Wang, 2011, The coupled routing and excess STorage (CREST) distributed hydrological model, Hydrol. Sci. J., 56, 84, 10.1080/02626667.2010.543087

Khan, 2011, Satellite remote sensing and hydrologic modeling for flood inundation mapping in lake Victoria basin: Implications for hydrologic prediction in ungauged basins, IEEE Trans. Geosci. Remote Sens., 49, 85, 10.1109/TGRS.2010.2057513

Versini, 2010, Application of a distributed hydrological model to the design of a road inundation warning system for flash flood prone areas, Nat. Hazards Earth Syst. Sci., 10, 805, 10.5194/nhess-10-805-2010

Tarpanelli, 2013, River discharge estimation by using altimetry data and simplified flood routing modeling, Remote Sens., 5, 4145, 10.3390/rs5094145

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ISPRS International Journal of Geo-Information

Tập 3 Số 2

584-598

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