Determination of fractal dimension of chaotic at tractor for Maximum temperature over Madras

The dimensions of attractors of daily maximum temperature (during March-May) recorded by the two observatories of Madras, viz., Nungarnbakkarn and Meenambakkarn are estimated from phase space trajectories by the method of deterministic chaos, The dimensions provide the basic information on the minimum number of parameters required to understand the complex dynamical system and also the upper bound (degrees of freedom) of such parameters that are sufficient to model the system, The fractal dimension for the weather event, viz. maximum temperature over Madras is between 3.5 and 3.9 suggesting 4 parameters are necessary to model the system and a maximum of 19 parameters are sufficient.

Public support for climate adaptation aid and migrants: a conjoint experiment in Japan

We examine public support in Japan for overseas climate adaptation assistance via foreign aid and accepting immigrants. Using a survey-embedded conjoint experiment (N=2,815), we focus on seven attributes of an adaptation policy package: (1) the continent in which the country is located; (2) the types of extreme weather event this country faces; (3) the volume of climate aid; (4) the number of climate migrants (5) Japanese exports; (6) Japanese imports, (7) the country’s record of voting with Japan in the United Nations. We find that while respondents are indifferent to aid volume, their support diminishes as the number of migrants increases. Moreover, support is higher for Asian countries, that provide export markets, vote with Japan, and where the effects of climate change are gradual. Importantly, we find that public support is not influenced by benchmarking of Japan’s or peer G7 countries’ past aid or immigration levels.

Identifying Roles for Public Administrators to Foster Anticipatory Altruism for Severe Weather Preparednes

Will people choose behaviors that benefit all persons in the community before a severe weather event? Or, will they choose behaviors that benefit themselves only? Knowing the answer to these questions can inform public administrators about the level of anticipatory altruism in their community. With this knowledge, they can design strategic plans that leverage a willingness to coproduce community preparedness. Over four hundred people in six severe weather and tornado prone states answered survey questions inviting them to choose between severe weather preparation options that benefit the community or the individual. Overall, our findings suggest a modest level of support for community preparation options, anticipatory altruism demonstrated by a willingness to pay, and intergenerational equity in their choices. These findings are salient in a time when governments may need to cut funding and rely more and more on foundations, nonprofits, and private efforts to provide a wide range of services. Government planners and emergency managers can use our results to strategically nudge residents into making severe weather preparations as well as to estimate support for co-production efforts with citizens to prepare the community for disasters.

Improving Urban Resilience to Rainstorm Disasters: A Comparative Case Study of Beijing

Urban resilience is a major indicator of a city’s sustainability. Climate change increases the frequency and intensity of extreme weather events, thereby increasing uncertainty and disaster risk. A city’s capacity to cope with climatic risks can be improved by developing resilience. In China, heavy rainfall is the most frequent and costly extreme weather event. We conducted a comparative case study on Beijing’s extraordinary 7.21 rainstorm disaster in 2012 and the 7.20 rainstorm in 2016. Taken generic resilience and specific resilience as the analytical framework, we found that generic resilience is mainly determined by the socio-economic development level and geography of each district; while the combination of engineering and non-engineering adaptive measures after 2012 disaster has improved the specific resilience to rainstorm disaster, which contributed a good performance in the 2016 rainstorm. As a megacity in China, Beijing is a representative case that provides guidance for other cities to improve their urban resilience to rainstorm disasters.