
doi: 10.3233/atde230792
In recent years, global climate change is abnormal. Affected by extreme weather, rainstorm disasters, mountain torrents and geological disasters occur frequently, causing irreparable losses to people’s lives and property safety. At present, rainstorm early warning, mountain torrent disaster meteorological early warning and mountain torrent disaster early warning are poorly linked, and the collaborative early warning capability is insufficient. There are problems with short foresight period and incomplete warning mechanism. To solve this problem, this paper takes Zhangqiu District of Jinan City as the research area, combs out the early warning indicators of rainstorm in Zhangqiu District, calculates the early warning indicators of mountain flood disasters in Zhangqiu District, and calculates the meteorological early warning indicators of mountain flood disasters using previous research results. And based on the above work results, a joint warning indicator chart was drawn, and the ideas and methods of joint warning were analyzed, filling the gap in joint warning and providing new methods for early warning work.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
