inkas – a guidance tool to assess the impact of adaptation measures against urban heat

Clicks: 168
ID: 161783
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #25 of 32 articles by views in Psychiatria Danubina

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Cities are particularly vulnerable to extreme weather events such as heat waves, which are expected to increase in frequency, duration and intensity by the end of this century. Hence, climate adaptation in cities is necessary to improve their resilience against climate change impacts and to secure their sustainability, quality of life and economic strength. Urban planners, practitioners and decision-makers require knowledge about the effectiveness of city-scale climate adaptation measures to prioritise their options for action and to push forward the political process for the implementation of climate adaptation strategies in cities. The Deutscher Wetterdienst's new Information Portal for Climate Adaptation in Cities, INKAS, enables its users to assess and compare the quantitative effect of different adaptation measures for varying degrees of implementation. The impact of different climate adaptation measures designed to reduce summertime air temperatures in cities is systematically investigated by means of the urban climate modelling of idealised cities. INKAS is based on about 2000 urban climate simulations of various combinations of nine urban settlement types typical for Germany and of four urban surrounding countrysides. The simplified assumptions of idealised cities with typical urban settlement types simulated with the 3‑dimensional urban climate model MUKLIMO_3 increases the transferability of complex urban interrelations to local decision-makers and urban planners. Simulated adaptation measures include the use of materials with high reflectivity, the installation of green roofs and the transformation of impervious surfaces between buildings into pervious surfaces.
Reference Key
buchholz2016meteorologischeinkas  Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Saskia Buchholz;Meinolf Kossmann;Marita Roos
Journal Psychiatria Danubina
Year 2016
DOI
10.1127/metz/2016/0731
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.