Artificial neural networks models for predicting effective drought index: Factoring effects of rainfall variability

Mitigation and Adaptation Strategies for Global Change

Volumn 19, Issue 8, 2014, Pages 1139-1162

  Masinde, Muthoni ^a  

^a CENTRAL UNIVERSITY OF TECHNOLOGY   (South Africa)

Author keywords

Artificial Neural Networks(ANNs); Available Water Resource Index(AWRI); Drought Forecasts; Effective Drought Index(EDI); Kenya; Rainfall Variations

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CLIMATE PREDICTION; CLIMATE VARIATION; DROUGHT STRESS; PRECIPITATION INTENSITY; RAINFED AGRICULTURE; SPATIAL DISTRIBUTION; WEATHER STATION;

KENYA;

EID: 84911976740     PISSN: 13812386     EISSN: 15731596     Source Type: Journal    
DOI: 10.1007/s11027-013-9464-0     Document Type: Article

References (35)

1. Antonić O, Josip K, Antun M, Dragan B (2001) Ecol Model 138:255–263
2. Armstrong S, Mark C, Randolph K, Dan M (2011) World Disasters Report – Focus on Hunger and Malnutrition. International Federation of Red Cross and Red Crescent Societies. International Federation of Red Cross and Red Crescent Societies, Geneva
3. ASCE Task Committee On Application Of Artificial Neural Networks In Hydrology (2000) Artificial Neural Networks in Hydrology: II. Hydrologic Applications. J Hydrol Eng 5:115–123
4. Bodri L, Cermak V (2001) Prediction of extreme precipitation using a neural network: application to summer flood occurrence in Moravia. Journal of Environmental Informatics 45:155–167
5. Byun H, Wilhite DA (1999) Objective quantification of drought severity and duration. J Clim 12:2747–2756
6. CERF (Central Emergency Response Fund) (2009) CERF funds jump start emergency aid operations in Kenya. United Nations Economic Commission for Africa. Addis Ababa, Ethiopia
7. Chang-Shian C, Boris P, Chen F, Chou N, Chao-Chung Y (2010) Development and application of a decision group Back-Propagation Neural Network for flood forecasting. J Hydrol 385:173–182
8. Collins A, Nick M, Michele M, Anne M, Maarten VA (2009) World Disasters Report – Focus on Early Warning, Action, 1st edn. International Federation of Red Cross and Red Crescent Societies, Geneva
9. Deely S, David D, Jorgelina H, Cassidy J (2010) World Disasters Report – Focus on Urban Risk, 1st edn. International Federation of Red Cross and Red Crescent Societies, Geneva
10. Demuth, H., Mark, B. and Martin, H. 2009. MATLAB Neural Network Toolbox – User’s Guide. 6
11. Dracup JA, KS L, KS L, Paulson EG Jr (1980) On the definition of droughts. Water Resour Res 16:289–296
12. Elsa E, Moreira C, Coelho A, Paulo AA (2008) SPI-Based Drought Category Predication Using Loglinear Models. J Hydrol 354:116–130
13. Freitas, M.A.S. and Billib, M.H.A. 1997. Drought prediction and characteristic analysis in semiarid Cearâ, northeast Brazil. Sustainability of Water Resources under Increasing Uncertainty, Anonymous IAHS, No. 240,, 105.
14. Huschke, R. E., 1970: Glossary of Meteorology. Amer. Meteor. Soc., 638 pp.
15. Kim D, Hi-Ryong B, Ki-Seon C (2009) Evaluation, modification, and application of the Effective Drought Index to 200-Year drought climatology of Seoul, Korea. J Hydrol 378:1–12
16. Kung H, Hua J, Chen C (2006) Drought forecast model and framework using wireless sensor networks. J Inf Sci Eng 22:751–769
17. Maier HR, Dandy GC (2000) Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications. Environ Model Softw 15(1):101–124
18. Masinde, M. and Bagula, A., 2011. The Role of ICTs in Quantifying the Severity and Duration of Climatic Variations – Kenya’s Case, Proceedings of ITU Kaleidoscope 2011: The Fully Networked Human? - Innovations for Future Networks and Services (K-2011), 12–14 December 2011, IEEE Xplore, pp. 1–8
19. Masinde M, Bagula A (2012) ITIKI: bridge between African indigenous knowledge and modern science of drought prediction. Knowl Manag Dev J 7(03):274–290
20. Mcculloch WS, Pitts W (1943) A logical calculus of the ideas imminent in nervous activity. Bull Math Biophys 5:115–133
21. Mckee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. In: 8th Conference on Applied Climatology, January. Anonymous American Meteorological Society, Boston, Massachusetts, pp 17–23
22. Mishra AK, Desai VR (2006) Drought Forecasting Using Fee-Forward Recursive Neural Network. Ecol Model 198:128–138
23. Mishra AK, Singn VP (2010) A Review of Drought Concepts. J Hydrol 391:202–216
24. Morid S, Smakhtin V, Bagherzadeh K (2007) Drought forecasting using artificial neural networks and time series of drought indices. Int J Climatol 27:2103–2111
25. Mutua, S., 2011. Strengthening Drought Early Warning At The Community and District Levels: Analysis Of Traditional Community Warning Systems In Wajir & Turkana
26. Mwagore D (2002) Land use in Kenya: The case for a national land use policy. Printfast Kenya Ltd., Nairobi
27. Palmer, W.C., 1965. Meteorological Drought. Research Paper 45. US Department of Commerce, Weather Bureau, Washington, DC, pp. 1–58.
28. Panu, U.S. and Sharma, T.C. 2002. Challenges in drought research: some perspectives and future directions. Hydrological Sciences-Journal.
29. Rumelhart DE, Hinton GE, Williams RJ (1986) “Learning internal representations by error propagation.” Parallel distributed processing, Vol. 1. MIT Press, Cambridge, pp 318–362
30. Shin HS, Salas JD (2000) Regional drought analysis based on neural networks. J Hydrol Eng 5(2):145–155
31. Weichert A, Burger G (1998) Linear versus nonlinear techniques in downscaling. Clim Res 10:83–93
32. Wells N, Goddard S, Hayes MJ (2004) A self-calibrating palmer drought severity index. J Clim 17:2335–2351
33. WHO Collaborating Centre For Research On The Epidemiology of Disasters (CRED), 2012-last update, Emergency Events Database (EM-DAT) [Homepage of Government of Belgium, for WHO], [Online]. Available: http://www.emdat.be/ [May/11, 2012].
34. Wilhite DA, Glantz MH (1985) Understanding the drought phenomenon: the role of definitions. Water International 10:111–120
35. Yin RK (1993) Applications of Case Study Research. Sage, Newbury Park