[Indonesia] Extreme rainfall and its effects on flood risk in Indonesia

[印度尼西亚] 极端降雨及其对印度尼西亚洪水风险的影响

基本信息

  • 批准号:
    NE/S003274/1
  • 负责人:
  • 金额:
    $ 47.43万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2018
  • 资助国家:
    英国
  • 起止时间:
    2018 至 无数据
  • 项目状态:
    已结题

项目摘要

Indonesia suffers from severe flood risk due to a combination of its climate (intense monsoon rainfalls), geography (steep mountains and rivers) and the mega-cities built at the outlet of rivers. This risk is already severe and it is feared it will become worse as climate change takes affect and the population of the cities grows even larger with uncontrolled development. When floods strike, they are often the combination of several sources: high river flows, intense rainfall on impermeable ground in cities and storm surges from the sea. Even worse, they often affect several cities and towns at once - stretching emergency responses and disaster recovery even further. The project aims to understand how these flood events happen so that planning and mitigation strategies can be developed. This understanding includes: - when floods occur, and what warning can be given- what controls the spatial extent (how many cities may be damaged at once)- how large the river flows can be and how often they happen- what effect land use (deforestation, urbanisation) has on the size and speed of floods- how the flood size and frequency of occurrence may change in the future - how much damage is caused in cities by the floodsStrategies to manage the flood risk will be informed by better understanding, and may take the form of:- better insurance cover- better warning systems for areas likely to be flooded- changing and controlling land use- building flood diversions, defences, or detention reservoirsThe approach being taken for the research is to use computer models of rainfall, climate, river flows and cities, so that the effects of different floods and management strategies can be simulated safely. The project team is therefore made up of experts in meteorology, climate change, hydrology and computer modelling.
由于其气候(强烈的季风降雨)、地理(陡峭的山脉和河流)以及建在河流出口处的特大城市,印度尼西亚面临着严重的洪水风险。这种风险已经很严重,而且随着气候变化的影响以及城市人口因不受控制的发展而变得更加庞大,人们担心这种风险会变得更加严重。当洪水来袭时,往往是多种原因共同作用的:河水流量大、城市不透水地面上的强降雨以及来自海上的风暴潮。更糟糕的是,它们常常同时影响多个城镇——进一步扩大了应急响应和灾难恢复的范围。该项目旨在了解这些洪水事件是如何发生的,以便制定规划和缓解策略。这种理解包括: - 洪水发生时,可以发出什么警报 - 空间范围受什么控制(有多少城市可能同时受到破坏) - 河流流量有多大以及发生的频率 - 土地利用(森林砍伐、城市化)对洪水规模和速度有何影响 - 洪水规模和发生频率未来可能如何变化 - 洪水对城市造成多少损害 管理洪水风险的策略将由 更好的理解,可以采取以下形式: - 更好的保险覆盖 - 为可能发生洪水的地区提供更好的预警系统 - 改变和控制土地利用 - 建设分洪、防御或滞留水库 研究采用的方法是使用降雨、气候、河流流量和城市的计算机模型,以便可以安全地模拟不同洪水和管理策略的影响。因此,该项目团队由气象学、气候变化、水文学和计算机建模领域的专家组成。

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Groundwater depth prediction using Shetran model in Citarum River basin
利用Shetran模型预测Citarum河流域地下水深度
Impact of Land Use Land Cover Changes on River Discharge at Brantas Catchment Area using SHETRAN Model
Assessment of TRMM rainfall data for flood modelling in three contrasting catchments in Java, Indonesia
TRMM 降雨数据评估,用于印度尼西亚爪哇三个对比流域的洪水建模
  • DOI:
    10.2166/hydro.2023.132
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    2.7
  • 作者:
    Suroso S
  • 通讯作者:
    Suroso S
Estimating of soil moisture using shetran model at Cisanggarung catchment area
使用 Shetran 模型估算 Cisanggarung 流域区的土壤湿度
Detection of Flood Inundation in the Progo Watershed using the SHETRAN Model
使用 SHETRAN 模型检测 Progo 流域的洪水淹没
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Chris Kilsby其他文献

The Changing Landscape of Water Resources Planning in England
  • DOI:
    10.1007/s11269-024-04072-8
  • 发表时间:
    2025-01-16
  • 期刊:
  • 影响因子:
    4.700
  • 作者:
    Ali Leonard;Jaime Amezaga;Richard Blackwell;Elizabeth Lewis;Chris Kilsby
  • 通讯作者:
    Chris Kilsby
A cost-benefit em‘source-receptor’/em framework for implementation of Blue-Green flood risk management
用于实施蓝绿洪水风险管理的成本效益“源-受体”框架
  • DOI:
    10.1016/j.jhydrol.2024.131113
  • 发表时间:
    2024-05-01
  • 期刊:
  • 影响因子:
    6.300
  • 作者:
    Christos Iliadis;Vassilis Glenis;Chris Kilsby
  • 通讯作者:
    Chris Kilsby

Chris Kilsby的其他文献

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{{ truncateString('Chris Kilsby', 18)}}的其他基金

Future Urban Flood Risk Management
未来城市洪水风险管理
  • 批准号:
    EP/P004334/1
  • 财政年份:
    2016
  • 资助金额:
    $ 47.43万
  • 项目类别:
    Research Grant
The creation of localized current and future weather for the built environment
为建筑环境创建本地化的当前和未来天气
  • 批准号:
    EP/M019799/1
  • 财政年份:
    2015
  • 资助金额:
    $ 47.43万
  • 项目类别:
    Research Grant
Flood MEMORY: Multi-Event Modelling Of Risk & recoverY
Flood MEMORY:风险的多事件建模
  • 批准号:
    EP/K013513/1
  • 财政年份:
    2013
  • 资助金额:
    $ 47.43万
  • 项目类别:
    Research Grant
End-to-end Quantification of Uncertainty for Impacts Prediction (EQUIP)
影响预测不确定性的端到端量化 (EQUIP)
  • 批准号:
    NE/H003517/1
  • 财政年份:
    2010
  • 资助金额:
    $ 47.43万
  • 项目类别:
    Research Grant

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将气候变化与城市水基础设施设计和管理联系起来:极端降雨过程多尺度模拟的综合概念模型框架
  • 批准号:
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Tracking Storms and Extreme Rainfall over Brazil in Convection-Permitting Simulations of Present and Future Climate (Ref: 4256)
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  • 批准号:
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Climate Resilience of EDF's Current Fleet: Impact of Flooding and Erosion from Extreme Rainfall
法国电力公司现有机队的气候适应能力:洪水和极端降雨侵蚀的影响
  • 批准号:
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  • 财政年份:
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Assessment of connections between atmospheric planetary waves and extreme rainfall events
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Rainfall variability, extreme events, and vulnerability in heterogeneous social and environmental systems
异质社会和环境系统中的降雨变化、极端事件和脆弱性
  • 批准号:
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  • 财政年份:
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  • 项目类别:
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Observation of the mesoscale structures producing the extreme rainfall at Cherrapunji, northeast India
印度东北部乞拉朋齐产生极端降雨的中尺度结构观测
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Collaborative Research: Dynamics, Thermodynamics, and Microphysics of Extreme Rainfall Observed during PRECIP (Prediction of Rainfall Extremes Campaign In the Pacific)
合作研究:PRECIP(太平洋极端降雨预测活动)期间观测到的极端降雨的动力学、热力学和微观物理学
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    $ 47.43万
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Collaborative Research: Dynamics, Thermodynamics, and Microphysics of Extreme Rainfall Observed during PRECIP (Prediction of Rainfall Extremes Campaign In the Pacific)
合作研究:PRECIP(太平洋极端降雨预测活动)期间观测到的极端降雨的动力学、热力学和微观物理学
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Evaluation of extreme rainfall distribution in spatial
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