未来情境下中国高温的人口暴露度变化及影响因素研究（英文）

编号 zgly0001645368

文献类型 期刊论文

文献题名 未来情境下中国高温的人口暴露度变化及影响因素研究（英文）

作者 黄大鹏  张蕾  高歌  孙劭 

作者单位 NationalClimateCenter  ChinaMeteorologicalAdministration  CollaborativeInnovationCenteronForecastandEvaluationofMeteorologicalDisasters  NanjingUniversityofInformationScience&Technology  NationalMeteorologicalCenter  ChinaMeteorologica 

母体文献 Journal of Geographical Sciences 

年卷期 2018年10期

年份 2018 

分类号 C924.2 

关键词 RCP8.5scenario  populationexposure  hightemperature  extremelyhightemperature  drivingforces 

文摘内容 Overall population exposure is measured by multiplying the annual average number of extremely hot days by the number of people exposed to the resultant heat. Extreme heat is also subdivided into high temperature(HT) and extremely high temperature(EHT) in cases where daily maximum temperature exceeds 35℃ and 40℃, respectively. Chinese population exposure to HT and EHT over four periods in the future(i.e., 2021–2040, 2041–2060, 2060–2081 and 2081–2100) were projected at the grid cell level in this study using daily maximum temperature based on an ensemble mean of 21 global climate models under the RCP8.5 scenario and with a population projection based on the A2 r socio-economic scenario. The relative importance of population and climate as drivers of population exposure was evaluated at different spatial scales including national and meteorological geographical divisions. Results show that, compared with population exposure seen during 1981–2010, the base period, exposure to HT in China is likely to increase by 1.3, 2.0, 3.6, and 5.9 times, respectively, over the four periods, while concomitant exposure to EHT is likely to increase by 2.0, 8.3, 24.2, and 82.7 times, respectively. Data show that population exposure to HT is likely to increase significantly in Jianghuai region, Southwest China and Jianghan region, in particular in North China, Huanghuai region, South China and Jiangnan region. Population exposure to EHT is also likely to increase significantly in Southwest China and Jianghan region, especially in North China, Huanghuai, Jiangnan, and Jianghuai regions. Results reveal that climate is the most important factor driving the level of population exposure in Huanghuai, Jianghuai, Jianghan, and Jiangnan regions, as well as in South and Southwest China, followed by the interactive effect between population and climate. Data show that the climatic factor is also most significant at the national level, followed by the interactive effect between population and climate. The rate of contribution of climate to national-level projected changes in exposure is likely to decrease gradually from ca. 70% to ca. 60%, while the rate of contribution of concurrent changes in both population and climate is likely to increase gradually from ca. 20% to ca. 40% over the four future periods in this analysis.