气候变化领域集成服务门户(CCPortal): Using expert knowledge to map the level of risk of shallow landslides in Brazil

CCPortal

DOI	10.1007/s11069-021-04752-3
	Using expert knowledge to map the level of risk of shallow landslides in Brazil
	Goto E.A.; Clarke K.
发表日期	2021
ISSN	0921030X
起始页码	1701
结束页码	1729
卷号	108 期号:2
英文摘要	Shallow landslides are common in Brazil's urban areas. Geomorphology and land use are contributing factors, and rainfall is the triggering one. In these urban areas, anthropogenic activities that increase the level of landslide risk are common, such as cutting and filling or discharging wastewater onto the slopes. The Brazilian Government has developed a methodology to map the risk level in landslide-prone areas. The methodology is based on field observation and divides the risk into four main categories: low, moderate, high, and very high. Technicians in the field decide the sector's landslide risk level based on their professional and personal experiences, but without mathematical calculations or without using specific weights for the contributing factors. This study proposes a method for automatically computing the risk level by involving many experts for deriving each classifier weight, thereby reducing the subjectivity in selecting the final risk level. The weights were calculated using the Analytical Hierarchical Process based on 23 experts on landslides, and the standard deviation was used to define the risk level threshold. We validated the study using a prior risk mapping of São Paulo city. Finally, an application (app) that can be used on a tablet, computer, or smartphone was created to facilitate data collection during fieldwork and to automatically compute the risk level. Risk areas in Brazil are frequently changing as new residents move to the area or changes in the buildings or terrain are made. In addition, mapping the risk areas is expensive and time-demanding for municipalities. Therefore, an application that gathers the data easily and automatically computes the risk level can help municipalities rapidly update their risk sectors, allowing them to use updated risk mapping during the rainy season and be less dependent on rarely available financial resources to hire a risk mapping service. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.
关键词	AHP App Brazil Expert knowledge Landslide Landslide assessment Risk Sao Paulo Shallow landslide
英文关键词	analytical hierarchy process; expert system; landslide; map; mapping; risk assessment; urban area; Brazil; Sao Paulo [Brazil]; Sao Paulo [Sao Paulo (STT)]
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206249
作者单位	Department of Geography, University of California, Santa Barbara (UCSB), Ellison Hall 1723, Santa Barbara, CA 93106, United States
推荐引用方式 GB/T 7714	Goto E.A.,Clarke K.. Using expert knowledge to map the level of risk of shallow landslides in Brazil[J],2021,108(2).
APA	Goto E.A.,&Clarke K..(2021).Using expert knowledge to map the level of risk of shallow landslides in Brazil.Natural Hazards,108(2).
MLA	Goto E.A.,et al."Using expert knowledge to map the level of risk of shallow landslides in Brazil".Natural Hazards 108.2(2021).