A. Mussina, Zh. T. Raimbekova, M. Shahgedanova, M. Barandun, K. Narbayeva, Assel Abdullayeva, A. Nyssanbayeva
{"title":"Mountain Resilience: A Tool for Mudflow Risk Management in the Ile Alatau Mountains, Kazakhstan","authors":"A. Mussina, Zh. T. Raimbekova, M. Shahgedanova, M. Barandun, K. Narbayeva, Assel Abdullayeva, A. Nyssanbayeva","doi":"10.1659/MRD-JOURNAL-D-22-00004","DOIUrl":null,"url":null,"abstract":"The densely populated central part of the Ile Alatau mountains is one of the most mudflow-prone areas of Kazakhstan. Implementation of protection measures, early warning systems, and risk management plans is crucial to protect livelihoods and infrastructure from damage caused by mudflows. Increasing harm and damage from mudflows in recent decades—due to more frequent events, as well as increased economic development of the area—has made the establishment and implementation of a mudflow risk management system a priority. The effectiveness of such a system largely depends on the scientific validity of the management plan and hence is determined by the level of knowledge of the physical processes triggering such events. This knowledge is based on information that must be collected, analyzed, and systematized. However, such data are not easy to access; they are scattered over different archives and research institutes or simply missing. In recent years, scientific monographs, articles, and reports have been published that attempt to collect and systematize data on mudflow phenomena in general. These efforts provide a basis for further work but are often not readily available for use. This article presents the updateable, interactive, intelligent information system “Mudflow phenomena of the central part of the Ile Alatau” that links cartographic information with data on mudflow formation centers. This system concentrates and collates existing knowledge, making it accessible to stakeholders and decision-makers who can turn this knowledge into suitable applications for adaptive and sustainable risk management.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1659/MRD-JOURNAL-D-22-00004","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The densely populated central part of the Ile Alatau mountains is one of the most mudflow-prone areas of Kazakhstan. Implementation of protection measures, early warning systems, and risk management plans is crucial to protect livelihoods and infrastructure from damage caused by mudflows. Increasing harm and damage from mudflows in recent decades—due to more frequent events, as well as increased economic development of the area—has made the establishment and implementation of a mudflow risk management system a priority. The effectiveness of such a system largely depends on the scientific validity of the management plan and hence is determined by the level of knowledge of the physical processes triggering such events. This knowledge is based on information that must be collected, analyzed, and systematized. However, such data are not easy to access; they are scattered over different archives and research institutes or simply missing. In recent years, scientific monographs, articles, and reports have been published that attempt to collect and systematize data on mudflow phenomena in general. These efforts provide a basis for further work but are often not readily available for use. This article presents the updateable, interactive, intelligent information system “Mudflow phenomena of the central part of the Ile Alatau” that links cartographic information with data on mudflow formation centers. This system concentrates and collates existing knowledge, making it accessible to stakeholders and decision-makers who can turn this knowledge into suitable applications for adaptive and sustainable risk management.
Ile Alatau山脉人口稠密的中部是哈萨克斯坦最容易发生泥石流的地区之一。实施保护措施、预警系统和风险管理计划对于保护生计和基础设施免受泥石流破坏至关重要。近几十年来,由于事件更加频繁,以及该地区经济发展的加快,泥石流造成的危害和破坏越来越大,因此建立和实施泥石流风险管理系统成为当务之急。这种系统的有效性在很大程度上取决于管理计划的科学有效性,因此由引发此类事件的物理过程的知识水平决定。这些知识是基于必须收集、分析和系统化的信息。然而,这些数据并不容易获取;它们分散在不同的档案馆和研究机构,或者干脆不见了。近年来,已经出版了科学专著、文章和报告,试图收集和系统化有关一般泥石流现象的数据。这些努力为进一步的工作提供了基础,但通常不容易使用。本文介绍了可更新、交互式、智能的信息系统“Ile Alatau中部的泥石流现象”,该系统将地图信息与泥石流形成中心的数据联系起来。该系统集中和整理现有知识,使利益相关者和决策者能够将这些知识转化为适应性和可持续风险管理的适当应用。
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.