Kirschbaum Dalia, Watson C Scott, Rounce David R, Shugar Dan, Kargel Jeffrey S, Haritashya Umesh K, Amatya Pukar, Shean David, Anderson Eric R, Jo Minjeong
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
Department of Hydrology & Atmospheric Sciences, University of Arizona, Tucson, Arizona, USA.
Front Earth Sci (Lausanne). 2019 Sep 4;7. doi: 10.3389/feart.2019.00197.
Cascading hazard processes refer to a primary trigger such as heavy rainfall, seismic activity, or snow melt, followed by a chain or web of consequences that can cause subsequent hazards influenced by a complex array of preconditions and vulnerabilities. These interact in multiple ways and can have tremendous impacts on populations proximate to or downstream of these initial triggers. High Mountain Asia (HMA) is extremely vulnerable to cascading hazard processes given the tectonic, geomorphologic, and climatic setting of the region, particularly as it relates to glacial lakes. Given the limitations of surveys in steep and often inaccessible terrain, remote sensing data are a valuable resource for better understanding and quantifying these processes. The present work provides a survey of cascading hazard processes impacting HMA and how these can be characterized using remote sensing sources. We discuss how remote sensing products can be used to address these process chains, citing several examples of cascading hazard scenarios across HMA. This work also provides a perspective on the current gaps and challenges, community needs, and view forward towards improved characterization of evolving hazards and risk across HMA.
级联灾害过程是指诸如暴雨、地震活动或融雪等主要触发因素,随后是一系列后果链或后果网络,这些后果可能导致后续灾害,其受一系列复杂的先决条件和脆弱性影响。这些因素以多种方式相互作用,可能对这些初始触发因素附近或下游的人群产生巨大影响。鉴于该地区的构造、地貌和气候背景,特别是与冰川湖相关的背景,亚洲高山地区极易受到级联灾害过程的影响。鉴于在陡峭且通常难以进入的地形中进行调查存在局限性,遥感数据是更好地理解和量化这些过程的宝贵资源。本研究对影响亚洲高山地区的级联灾害过程以及如何利用遥感数据源对其进行特征描述进行了综述。我们讨论了如何利用遥感产品来处理这些过程链,并列举了亚洲高山地区级联灾害情景的几个例子。这项工作还对当前的差距和挑战、社区需求以及改进亚洲高山地区不断演变的灾害和风险特征描述的未来展望提供了一个视角。