Climate change and its implications for water resources management in south Florida

Obeysekera, Jayantha; Irizarry, Michelle; Park, Joseph; Barnes, Jenifer; Dessalegne, Tibebe

doi:10.1007/s00477-010-0418-8

Cited by 77 publications

(40 citation statements)

References 28 publications

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“…Purkey, et al [10] applied the Water Evaluation and Planning System (WEAP) model to the Sacramento River Basin and confirmed its applicability. Obeysekera, et al [11] took climate change into account when analyzing flood control and the vulnerability of the water management system in south Florida. Some studies [8,12] have been conducted to estimate the impacts of climate change and land-use change on runoff characteristics.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Impacts of Global Climate Change and Regional Water Projects on Streamflow Characteristics in the Geum River Basin in Korea

Kim

Noh

Jung

et al. 2016

Water

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Abstract:The impacts of two factors on future regional-scale runoff were assessed: the external factor of climate change and the internal factor of a recently completed large-scale water resources project. A rainfall-runoff model was built (using the Soil and Water Assessment Tool, SWAT) for the Geum River, where three weirs were recently constructed along the main stream. RCP (Representative Concentration Pathways) climate change scenarios from the HadGEM3-RA RCM model were used to generate future climate scenarios, and daily runoff series were constructed based on the SWAT model. The indicators of the hydrologic alteration (IHA) program was used to carry out a quantitative assessment on the variability of runoff during two future periods compared to a reference period . Analyses of changes in the runoff characteristics of the lower Geum River showed that climate change is likely to lead to an increase of the future runoff ratio and that weirs contributed to an increase in the minimum discharge and a decrease in the maximum discharge. The influence of the weirs on the runoff characteristics of the Geum River basin was projected to be greater than that of climate change.

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Section: Introductionmentioning

confidence: 99%

Assessment of the Impacts of Global Climate Change and Regional Water Projects on Streamflow Characteristics in the Geum River Basin in Korea

Kim

Noh

Jung

et al. 2016

Water

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“…Many researchers are working on this subject (see e.g. Boswell et al 1999;Sisson et al 2006;de Melo Mendes & Pericchi 2009;Obeysekera et al 2011;Bashan et al 2013;Delphin et al 2013). The approaches used can be typically divided into two main groups, one analytical and another statistical (see e.g.…”

Section: Introductionmentioning

confidence: 99%

Tornadoes and related damage costs: statistical modelling with a semi-Markov approach

D’Amico

Manca

Corini

et al. 2016

Geomatics, Natural Hazards and Risk

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We propose a statistical approach to modelling for predicting and simulating occurrences of tornadoes and accumulated cost distributions over a time interval. This is achieved by modelling the tornado intensity, measured with the Fujita scale, as a stochastic process. Since the Fujita scale divides tornado intensity into six states, it is possible to model the tornado intensity by using Markov and semi-Markov models. We demonstrate that the semi-Markov approach is able to reproduce the duration effect that is detected in tornado occurrence. The superiority of the semi-Markov model as compared to the Markov chain model is also affirmed by means of a statistical test of hypothesis. As an application, we compute the expected value and the variance of the costs generated by the tornadoes over a given time interval in a given area. The paper contributes to the literature by demonstrating that semi-Markov models represent an effective tool for physical analysis of tornadoes as well as for the estimation of the economic damages to human things.

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“…The subsequent sections will show how these modes of variability can be used to provide the scientific basis for short-term climate prediction on regional scales. Additional information on Florida's climate and its drivers can be found in , Obeysekera et al (2011a), and Obeysekera et al (2011b).…”

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confidence: 99%

Florida Climate Variability and Prediction

Kirtman¹,

Misra²,

Burgman³

et al. 2017

Florida’s Climate: Changes, Variations, &Amp; Impacts

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This chapter describes the sources and mechanisms for climate variability in Florida across timescales (i.e., seasonal-to-decadal) Key Messages• There is known large-scale climate variability (e.g., El Niño) that affect Florida's local climate.• While this large-scale climate variability can be predicted several months in advance, correctly capturing the regional impacts remains challenging.

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Climate change and its implications for water resources management in south Florida

Cited by 77 publications

References 28 publications

Assessment of the Impacts of Global Climate Change and Regional Water Projects on Streamflow Characteristics in the Geum River Basin in Korea

Assessment of the Impacts of Global Climate Change and Regional Water Projects on Streamflow Characteristics in the Geum River Basin in Korea

Tornadoes and related damage costs: statistical modelling with a semi-Markov approach

Florida Climate Variability and Prediction

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