Abstract. The urgency of accelerating disaster risk resilience also promotes preferred systematic reviews of the methods for design and evaluation of risk transfer tools. This paper aims to provide a state-of-art weather index insurance design, thereby including methods for natural hazards’ indices calculation, vulnerability assessment and risk pricing. We applied the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) using the Scopus database. First, 364 peer-reviewed articles from 2010 to present were screened for a bibliometric analysis and then, the 34 most cited articles from the past five years were systematically analyzed. Our results demonstrate that despite a great research effort on index insurance, the majority of them focused on food insecurity through agricultural and crop insurance. Also, climate change and basis risks were found highly relevant for weather index insurance, but weakly developed, suggesting challenges around food insecurity. Special focus was given to drought hazards, while other hazards such as temperature variation, excessive rainfall and wildfires were slightly covered. Emerging areas, namely agricultural, hydrological, and sustainable index insurance found promissory for insurance. Also, current state-of-the-art lacks methods for incorporating multi-hazard risk evaluation in vulnerability assessment and risk pricing. Most studies considered only single-hazard risk, and the multi-hazard risk studies assumed independence between hazards. Thus, we summarized the most common methods for calculating indices, estimating losses using indices, pricing risks, and evaluating insurance index policies. This review promotes a starting point in weather index insurance design towards a multi-hazard resilient society.
The climate-related variables, river discharge, and water temperature, are the main factors controlling the quality of the bank filtrate by affecting infiltration rates, travel times, and redox conditions. The impact of temperature and discharge on manganese release from a riverbed were assessed by water quality data from a monitoring transect at a riverbank filtration site in Dresden-Tolkewitz. Column experiments with riverbed material were used to assess the Mn release for four temperature and three discharge conditions, represented by varying infiltration rates. The observed Mn release was modeled as kinetic reactions via Monod-type rate formulations in PHREEQC. The temperature had a bigger impact than the infiltration rates on the Mn release. Infiltration rates of <0.3 m3/(m2·d) required temperatures >20 °C to trigger the Mn release. With increasing temperatures, the infiltration rates became less important. The modeled consumption rates of dissolved oxygen are in agreement with results from other bank filtration sites and are potentially suited for the further application of the given conditions. The determined Mn reduction rate constants were appropriate to simulate Mn release from the riverbed sediments but seemed not to be suited for simulations in which Mn reduction is likely to occur within the aquifer. Sequential extractions revealed a decrease of easily reducible Mn up to 25%, which was found to reflect the natural stratification within the riverbed, rather than a depletion of the Mn reservoir.
The increase in extreme climate events due to climate change has resulted in crop losses, quality losses, environmental and social impacts in agricultural areas. Insurance against extreme events is a vital tool adaptation to deal with the impacts of those hazards. However, few works consider the optimization of different dimensions related to this tool. This work proposes a framework to use multi-objective optimization models to better design and evaluate crop insurance premiums and conducts a case study for sugarcane premiums at São Paulo state in 2010. The framework can be adopted for different crops, objectives, and models. The case study showed that around 20% of the policies evaluated were efficient solutions from the farmer's point of view.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.