Introducing the Adaptation to Climate Change Programme at the Paris Climate Summit
[December 2015] The Regional Environmental Center for Central and Eastern Europe (REC) and the Central Asian Regional Environmental Center (CAREC) has held a joint event on 4 December, with the title “Innovative decision-making support tools to enhance decarbonisation development and climate resiliance”.
REC delegates in the panel of the official event included Judit Bálint (expert from REC) and Anna Páldy (acting deputy executive director of the Hungarian Environmental Health Institute). The presentation of Judit Bálint focused on introducing the National Adaptation Geoinformatic System (NAGiS). The overall objective of NAGiS is to establish a multipurpose geographic information system to support the development of policies and strategies for climate change adaptation. This way it supports the decision-making process as well as the development of necessary adaptation measures. NAGiS fulfils a central role in handling the challenges relating to global climate change in Hungary. It allows for the development of adaptation measures on a local and regional level. The project includes a number of activities, which can be grouped into two main categories: the creation of NAGiS’s IT background and the development of a methodology to quantify the effects of climate change and the vulnerability of various sectors against climate change.
Then, Anna Páldy has reported about the vulnerability studies, which closely relate to the NAGiS project, and which mainly focus on tourism and critical infrastructure. This project deals with three main sectors within tourism and critical infrastructure: (1) study of the excess mortality related to heatwaves, (2) impact and vulnerability assessment of road accidents within extreme weather events, and (3) effects of climatic conditions on tourism. The quantified indicators are selected based on past and present measurement data. Using the calculation results of the regional climate model these indicators will provide indicators about the expected future values of vulnerability.