WMS Climate Adaptation Human Health

The WMS service “Human Health” is part of the specialised information system Climate Adaptation (www.klimaanpassung.nrw.de). This wms service describes parameters from the action field “Human Health”. The wms service is divided into two group layers with data on bioclimatic stress and population data. The group layer population data contains information on the number of inhabitants, the population density and the proportion of the population over 65 and under 3 years of age at the community level. Data are available for 2011 and 2030 (population pre-calculation); in addition, the change in 2030 is presented in relation to 2011 of all mentioned parameters. Thus, the group layer contains a total of twelve cards. The data are based on the 2011 census and population projections in NRW based on it, which were carried out by IT.NRW. Population numbers and density have an impact on the urban climate and are also important in the context of demographic change and an ageing population that is more susceptible to heat in climate change. The group layer “Bioclimatic stress” comprises three maps: the bioclimate card, the cold stimulus and the heat load. The maps were calculated on the basis of long-term measurement data by the German Weather Service (DWD). For the reference period 1981-2010, the maps show the expected frequency of heat loads in the summer half-year and cold stimuli in the winter half year as individual values as well as in the bioclimate map.WMS服务（Web Map Service）"人类健康"隶属于专业信息系统气候适应（Climate Adaptation），其官网为www.klimaanpassung.nrw.de。该WMS服务涵盖"人类健康"行动领域的相关参数，整体分为两个图层组，分别承载生物气候压力（bioclimatic stress）与人口统计类数据。其中人口统计图层组包含社区层面的居民总数、人口密度，以及65岁以上与3岁以下人口占比等信息；数据集涵盖2011年与2030年（人口预计算值）的相关内容，此外还展示了上述所有参数在2030年相较于2011年的变化情况，因此该图层组共计包含12幅地图。本数据集基于2011年人口普查数据，以及由IT.NRW编制的北莱茵-威斯特伐利亚州（NRW）同期人口预测结果。人口总数与密度会对城市气候产生影响，同时在气候变化背景下的人口结构变迁与更易受高温影响的老龄化社会议题中亦具备重要价值。生物气候压力图层组包含3幅地图：生物气候图、冷刺激指数与热负荷指数。上述地图均基于德国气象局（German Weather Service, DWD）的长期观测数据计算生成；在1981-2010年这一参考时段内，各地图分别展示了夏半年热负荷与冬半年冷刺激的预期发生频率，生物气候图则整合了上述两类指标的相关信息。