Hydro-meteorological risk (HMR)management involves a range ofmethods, such asmonitoring of uncertain climate, planning and prevention by technical countermeasures, risk assessment, preparedness for risk by earlywarnings, spreading knowledge and awareness, response and recovery. To executeHMR management by risk assessment, manymodels and tools, ranging fromconceptual to sophisticated/numerical methods are currently in use. However, there is still a gap in systematically classifying and documenting them in the field of disaster risk management. This paper discusses various methods used for HMR assessment and itsmanagement via potential nature-based solutions (NBS), which are actually lessons learnt from nature. We focused on three hydrometeorological hazards (HMHs), floods, droughts and heatwaves, and their management by relevant NBS. Differentmethodologies related to the chosen HMHs are consideredwith respect to exposure, vulnerability and adaptation interaction of the elements at risk. Two widely used methods for flood risk assessment are fuzzy logic (e.g. fuzzy analytic hierarchy process) and probabilistic methodology (e.g. univariate andmultivariate probability distributions). Different kinds of indices have been described in the literature to define drought risk, depending upon the type of drought and the purpose of evaluation. For heatwave risk estimation, mapping of the vulnerable property and population-based on geographical information system is awidely usedmethodology in addition to a number of computational, mathematical and statistical methods, such as principal component analysis, extreme value theorem, functional data analysis, the Ornstein–Uhlenbeck process and meta-analysis. NBS (blue, green and hybrid infrastructures) are promoted for HMR management. For example, marshes and wetlands in place of dams for flood and drought risk reduction, and green infrastructure for urban cooling and combating heatwaves, are potential NBS. More research is needed into risk assessment and management through NBS, to enhance its wider significance for sustainable living, building adaptations and resilience.

Jeetendra Sahani, P.K. (2019). Hydro-meteorological risk assessment methods and management by nature-based solutions. SCIENCE OF THE TOTAL ENVIRONMENT, 696, 1-17 [10.1016/j.scitotenv.2019.133936].

Hydro-meteorological risk assessment methods and management by nature-based solutions

ARAGAO FERREIRA DA SILVA, LEONARDO;Federico Porcù;Silvana Di Sabatino
2019

Abstract

Hydro-meteorological risk (HMR)management involves a range ofmethods, such asmonitoring of uncertain climate, planning and prevention by technical countermeasures, risk assessment, preparedness for risk by earlywarnings, spreading knowledge and awareness, response and recovery. To executeHMR management by risk assessment, manymodels and tools, ranging fromconceptual to sophisticated/numerical methods are currently in use. However, there is still a gap in systematically classifying and documenting them in the field of disaster risk management. This paper discusses various methods used for HMR assessment and itsmanagement via potential nature-based solutions (NBS), which are actually lessons learnt from nature. We focused on three hydrometeorological hazards (HMHs), floods, droughts and heatwaves, and their management by relevant NBS. Differentmethodologies related to the chosen HMHs are consideredwith respect to exposure, vulnerability and adaptation interaction of the elements at risk. Two widely used methods for flood risk assessment are fuzzy logic (e.g. fuzzy analytic hierarchy process) and probabilistic methodology (e.g. univariate andmultivariate probability distributions). Different kinds of indices have been described in the literature to define drought risk, depending upon the type of drought and the purpose of evaluation. For heatwave risk estimation, mapping of the vulnerable property and population-based on geographical information system is awidely usedmethodology in addition to a number of computational, mathematical and statistical methods, such as principal component analysis, extreme value theorem, functional data analysis, the Ornstein–Uhlenbeck process and meta-analysis. NBS (blue, green and hybrid infrastructures) are promoted for HMR management. For example, marshes and wetlands in place of dams for flood and drought risk reduction, and green infrastructure for urban cooling and combating heatwaves, are potential NBS. More research is needed into risk assessment and management through NBS, to enhance its wider significance for sustainable living, building adaptations and resilience.
2019
Jeetendra Sahani, P.K. (2019). Hydro-meteorological risk assessment methods and management by nature-based solutions. SCIENCE OF THE TOTAL ENVIRONMENT, 696, 1-17 [10.1016/j.scitotenv.2019.133936].
Jeetendra Sahani, Prashant Kumar, Sisay Debele, Christos Spyrou, Michael Loupis, Leonardo Aragão, Federico Porcù, Mohammad Aminur Rahman Shah, Silvan...espandi
File in questo prodotto:
File Dimensione Formato  
11585_697245.pdf

accesso aperto

Tipo: Versione (PDF) editoriale
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione (CCBY)
Dimensione 877.52 kB
Formato Adobe PDF
877.52 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/697245
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 84
  • ???jsp.display-item.citation.isi??? 78
social impact