The Risk of Heat Wave along the Jakarta-Bandung High-Speed Railway in Indonesia

• Main Authors: Dai Xin, Liu Qingsheng, Wu Xilin, Huang Chong, Li He
• Format: Article
• Language: zho
• Published: Editorial Committee of Tropical Geography 2021-01-01
• Series: Redai dili
• Subjects: jakarta-bandung high-speed railway; heat wave; risk assessment; h-ahp
• Online Access: http://www.rddl.com.cn/CN/10.13284/j.cnki.rddl.003301

Since heat wave is currently one of the most important meteorological disasters, it has a significant impact on residents' health and social economy. The accurate identification and assessment of heat wave risk is an effective means to deal with this problem. In this paper, the hazard, vulnerability and regional comprehensive prevention ability factors were selected as the indexes for evaluating heat wave risk. The index weight was determined by the H-AHP method, and the spatial distribution map of the risk level of heat wave was calculated by the graph cascade method. The results show that there is a significant spatial difference in the risk of heat wave in the regions along the Jakarta-Bandung High-Speed railway. On the whole, the risk in the northern region is higher than that in the southern region, and the risk in the western region is higher than that in the eastern region. The high-risk areas are mainly concentrated in Jakarta, the capital of Indonesia. The medium-high-risk areas were mainly distributed in Jakarta's peripheral suburbs and Bandung City. The low-risk areas are distributed in the central region, forming a typical V-shaped distribution being high on both sides and low in the middle. The overall risk of heat wave in this region is at a medium level, with the medium-level risk area accounting for nearly 50%. With the exception of Jakarta, Bekasi, Bandung, and Cimahi cities, half or even more than half of the other counties are at medium-level risk. The area with low risk level accounts for the least, only 8.10%, mainly distributed in the northern part of Karawang county near the Java sea, and in the southwest part of Bandung county and West Bandung county with high forest coverage. In this paper, a method of heat wave risk assessment based on remote sensing is proposed, and spatial social and economic data are used, providing a new idea for heat wave risk assessment for countries along the Belt and Road region.