Drought Challenges in a Context of Soil Use Sustainability
Keywords:
drought concepts and perception, drought indices, drought risk management, economic impacts, deficit irrigationAbstract
Droughts are natural but temporary imbalances of water availability, consisting of a persistent lower-than-average precipitation, of uncertain frequency, duration and severity, of unpredictable or difficult to predict occurrence, resulting in diminished water resources availability and impacts on natural and man-made ecosystems.
To successfully cope with drought there is a need to understand the characteristics and consequences of related phenomena; however, differences in the perception of drought lead to difficulties in adopting risk management.
The effectiveness of drought risk management depends upon drought monitoring, drought prediction and warning capabilities, and means to provide information to users, as well as on related awareness of populations.
For drought monitoring and warning, drought indices аrе useful. The SPI has been extensively used in Portugal and stochastic methods have been developed for prediction of drought class transitionsto be used for early warning. For agricultural purposes, the PDSI was modified аnd successfully referred to thе rainfed olive crop, thus originating the MedPDSI. Its evaluation against the SPI аnd PDSI shows thе appropriateness of this index.
Relative to information systems, а variety of approaches were used to support deficit irrigation. However, its economic feasibility is questionable and more studies are required to assess ways to improve irrigation under drought.
References
Alley, W. M. 1984. The Palmer Drought Severity Index: limitations and assumptions. J. Climate and Applied Meteorology, 23: 1100-1109
McKee, Т. B., Doesken, N. J., Kleist, J. 1993. The relationship of drought frequency and duration to time scales. -In: 8th Conference on Applied Climatology. Am. Meteor. Soc., Boston, p. 179-184
Moreira, Е. E., Coelho, С. А., Paulo, А. А., Pereira, L. S., Mexia, J. Т. 2008. SPI-based drought category prediction using loglinear models. J. Hydrology, 354, 116-130
Palmer, W. 1965. Meteorological Drought. U.S. Weather Bureau, Res. Paper No 45, Washington.
Paulo, A. А., Pereira, L. S. 2008. Stochastic prediction of drought class transitions. Water Resour. Manage, 22: 1277-1296
Paulo, А. А., Pereira, L. S. 2010. Analise estocastica das transigées entre classes de seca através de modelos de Markov. -In: Pereira, L. S, Mexia, J. T, Pires, С. А. L. (Eds) Gestao do Risco еm Secas. Métodos, tecnologias e desafios. Ed. Colibri & CEER, Lisboa, 171-188
Paulo, А. А., Rosa, R. D., Martins, D. 2010. Variabilidade temporal e espacial dos indices de seca. Соmparacao entre о SPI, о PDSI e o MedPDSI. -In: Pereira, L. S., Mexia, J. T, Pires, С. А. L. (Eds) Gestéo do Risco ет Secas. Métodos, tecnologias e desafios Ed. Colibri & CEER, Lisboa, 59-72
Pereira, L. S., Р. R. Teodoro, P. N. Rodrigues, J. L. Teixeira. 2003. Irrigation scheduling simulation: the model ISAREG. -In: С. Rossi, A. Cancelliere, L. S. Pereira, T. Oweis, M. Shatanawi, A. Zairi (Eds.) Tools for Drought Mitigation in Mediterranean Regions. Kluwer, Dordrecht, p. 161-180
Pereira L.S., Rosa R.D., Paulo A.A., 2007. Testing a modification of the Palmer Drought Severity Index for Mediterranean environments. In: Rossi, G. Vega, T., Bonaccorso, B. (eds.) Methods and Tools for Drought Analysis and Management. Springer, Dordrecht, p. 149-167
Pereira, L. S., Cordery, I., lacovides, I. 2009. Coping with Water Scarcity. Addressing the Challenges. Springer, Dordrecht, 382 p.
Pereira, L. S., Rosa, R. D. 2010. O MedPDSI, uma modificagdo do indice de Palmer рага clima mediterranico. 1. Desenvolvimento. -In: Pereira, L. S., Mexia, J. T., Pires, С. А. L. (Eds) 2010. Gestao do Risco em Secas. Métodos, tecnologias e desafios. Ed. Colibri & CEER, Lisboa, 15-34
Pires, C., Sousa, J. 2010. Previsao de classes de seca por cadeias de Markov condicionadas por regimes dа Oscilagao do Atlantico Norte е dа Oscilagéo Artica. -In: Pereira, L. S., Mexia, J. T., Pires, C.A. L. (Eds) Gestao do Risco ет Secas. Métodos, tecnologias e desafios. Ed Colibri & CEER, 209-224
Popova, Z., Pereira, L. S. 2011. Modeling for maize irrigation scheduling using long term experimental data from Plovdiv region, Bulgaria. Agric Water Manage, Vol. 98 (4): 675-683
Popova, Z., M. Kercheva, L. S. Pereira. 2006a. Validation of the FAO methodology for computing ETo with limited data. Application to South Bulgaria. Irrig аnd Drain., 55(1): 201-215
Popova, Z., Eneva, S., Pereira, L. S. 2006b. Model validation, crop coefficients аnd yield response factors for maize irrigation scheduling based оn longterm experiments. Biosystems Eng., 95 (1), 139-149
Popova, Z., lvanova, I., Alexandrova, P., Doneva, K., Alexandrov, V., Pereira, L. S. 2011. Impact of drought оn maize irrigation аnd productivity in Plovdiv region (this Congress)
Rodrigues, G. C., Pereira, L. S. 2009. Assessing economic impacts оf deficit irrigation аs related to water productivity and water costs. Biosystems Eng.,103: 536-551
Rodrigues, G. C., Silva, Е. G, Pereira, L. S. 2010. Assessing thee feasibility of deficit irrigation under drought conditions. —In: A Lopez-Francos (ed) Options Méditerranéennes Séries A95, 285-291
Downloads
Published
Issue
Section
License
Copyright (c) 2011 Bulgarian Journal of Soil Science, Agrochemistry and Ecology

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

