[Malaysia] Integrated Modelling of Landslides due to Hydrometeorological Impacts in Langat Basin, Peninsular Malaysia (iModelLandslides)

[马来西亚] 马来西亚半岛冷岳盆地水文气象影响导致的山体滑坡综合模拟 (iModelLandslides)

• 批准号: NE/S003347/1
• 负责人: Ashraf Osman
• 金额: $ 49.53万
• 依托单位: Durham University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FS003347%2F1
• 关键词: Malaysia; Integrated; Modelling; Landslides; due

In recent years, Malaysia has experienced a number of landslide disasters resulting from extreme tropical rainfall. Landslides have occurred in several parts of Malaysia, such as Paya Terubong (Penang), Highland Towers (Kuala Lumpur), Hulu Langat and Pos Dipang (Perak). These landslides cost millions of pounds of property loss and hundreds of lives. On 21 October 2017, 11 workers were killed in a landslide at a construction site on Malaysia's Penang Island. The October 2002 landslide in Kuala Lumpur which completely destroyed several houses and killed six members of a family and the 2011 Hulu Langat landslide, where 15 children and a caretaker in an orphanage were killed are still in the public's memory. Population increase and subsequent urbanization have demanded the development of new residential and areas and roads in mountainous areas where there is an increased risk of slope failures. Malaysia's population is projected to rise to 41.5 million by 2040, up from 28.6 million in 2010.This proposal will produce a qualitative hazard map delineating areas prone to landslides in the Langat River Basin, Peninsular Malaysia. The hazard map will identify landslide-prone areas, including expected changes in landslide susceptibility as a result of climate change. Langat River Basin is most urbanized river basin in Malaysia. Important conurbations include towns such as Cheras, Kajang, Bangi and Putrajaya (the administrative capital of Malaysia). The basin has an area of about 2350 km2. The area has been experiencing numerous landslides disasters and has been identified by the Malaysia Public Work Department in its National Slope Master Plan Study as landslide-prone area. The proposal will involve close collaboration with the Public Works Department and the National Disaster Management Agency in Malaysia and several industrial partners to ensure the adaptation of the proposed map in practice.

近年来，马来西亚经历了一些极端热带降雨造成的山体滑坡灾害。马来西亚的几个地区都发生了山体滑坡，例如Paya Terubong（槟城）、Highland Towers（吉隆坡）、Hulu Langat和Pos Dipang（霹雳州）。这些山体滑坡造成数百万英镑的财产损失和数百人死亡。2017年10月21日，马来西亚槟榔屿一建筑工地发生山体滑坡，11名工人遇难。2002年10月在吉隆坡发生的山体滑坡完全摧毁了几座房屋，造成一个家庭的六名成员死亡，2011年Hulu Langat发生的山体滑坡造成孤儿院的15名儿童和一名看护人死亡，这些事件仍然留在公众的记忆中。人口增长和随之而来的城市化要求在山区开发新的住宅区和道路，因为山区的边坡失稳风险增加。到2040年，马来西亚的人口预计将从2010年的2860万增加到4150万。这一提议将产生一个定性的危险地图，描绘马来西亚半岛Langat河流域易发生山体滑坡的地区。灾害地图将确定易发生滑坡的地区，包括由于气候变化而预计发生的滑坡可能性变化。Langat河流域是马来西亚最城市化的河流流域。重要的大都市包括切拉斯、加影、邦吉和普特拉贾亚（马来西亚的行政首都）等城镇。盆地面积约2350平方公里。该地区经历了多次山体滑坡灾害，并已被马来西亚公共工程部在其国家斜坡总体规划研究中确定为易发生山体滑坡的地区。该提案将涉及与马来西亚公共工程部和国家灾害管理局以及若干工业伙伴的密切合作，以确保在实践中对拟议地图进行调整。

项目成果

Advances in Transportation Geotechnics IV

交通岩土工程进展 IV

• 发表时间: 2021
• 作者: Moghaddasi H

Soil-atmosphere interactions for analysing slopes in tropical soils in Singapore

用于分析新加坡热带土壤坡度的土壤-大气相互作用

• DOI: 10.1680/jenge.15.00071
• 发表时间: 2019
• 期刊: Environmental Geotechnics
• 影响因子: 2.2
• 作者: Toll D

Landslide Susceptibility Model Using Artificial Neural Network (ANN) Approach in Langat River Basin, Selangor, Malaysia

• DOI: 10.3390/land11060833
• 发表时间: 2022-06
• 期刊: Land
• 影响因子: 3.9
• 作者: S. N. Selamat;N. A. Majid;M. Taha;Ashraf Osman

The spatial relationship between landslide and land use activities in Langat River Basin: A case study

• DOI: 10.1016/j.pce.2022.103289
• 发表时间: 2023-01
• 期刊: Physics and Chemistry of the Earth, Parts A/B/C
• 作者: S. N. Selamat;N. Abd Majid;A. Mohd Taib;M. Taha;Ashraf Osman

A Comparative Assessment of Sampling Ratios Using Artificial Neural Network (ANN) for Landslide Predictive Model in Langat River Basin, Selangor, Malaysia

• DOI: 10.3390/su15010861
• 发表时间: 2023-01
• 期刊: Sustainability
• 影响因子: 3.9
• 作者: S. N. Selamat;N. Abd Majid;A. Mohd Taib