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基于数字孪生的现实条件海平面上升模拟

Translated by Dr. Mengyi Jin

数字孪生技术正越来越多地应用于模拟海平面上升所带来的影响,为城市规划、海岸管理和灾害应对等领域的决策者提供了宝贵的工具。这些虚拟模型整合了包括地理空间影像、人工智能和环境监测系统等不同来源的实时数据,可以详细模拟海平面上升对特定区域产生的影响。

通过准确绘制当前的土地覆盖特征,并不断用新数据更新这些模型,数字孪生使研究人员和政府部门能够在不同的气候变化条件下对未来的情景进行预测。这有助于识别脆弱区域、规划基础防护设施以及优化疏散策略。例如,高分辨率地理空间数据可以显示哪些区域面临洪水风险,而由人工智能驱动的模拟则可以预测海平面上升可能对当地生态系统和城市环境产生的长期影响。

通过将海平面上升纳入数字孪生模拟,城市规划者和环境科学家可以充分了解其对沿海地区的长期影响,从而为气候变化带来的挑战做好更加充分的准备。这项技术对于直观呈现和科学规划适应性应对措施,从而减缓海平面上升可能造成的损害具有重要意义。

Digital Twin solution for realistic sea level rise simulation

Digital twin technology is increasingly being used to simulate the effects of sea level rise, providing valuable tools for decision-makers in areas such as urban planning, coastal management, and disaster preparedness. These virtual models integrate real-time data from various sources, including geospatial imagery, AI, and environmental monitoring systems, to create detailed simulations of how rising sea levels could impact specific regions. 

Interview with Felix Kasiti, PhD Researcher, University of Stirling

I am currently a PhD candidate at the University of Stirling in Scotland, funded by the Natural Environmental Research Council through the IAPETUS DTP. My research focuses on using SAR Polarimetry to map and monitor floods in Scotland and Guyana. Additionally, I use ground radar to understand signal interactions under simulated flooding conditions, aiming to improve flood detection. My goal is to enhance the management and protection of floodplains and wetlands through advanced radar satellite technology and field-tested methodologies. Before my PhD, I worked as an assistant hydrologist at the SERVIR Eastern and Southern Africa project at the Regional Centre for Mapping of Resources for Development in Nairobi, Kenya, from 2019 to 2022. In this position, I led the development of an operational hydrological model that improved access to hydrological data for ungauged rivers in East Africa. I was also the lead hydrologist in the implementation of a flood early warning system in Malawi, integrating ground measurements and satellite-derived water level data to issue flood forecasts.

Interview with Shagun Garg, Doctoral Researcher, University of Cambridge

In this interview, Shagun Garg, a Doctoral Researcher at the University of Cambridge, shares his journey working at the intersection of water and space technologies. From early experiences with groundwater-related land subsidence in Delhi to improving flood detection methods, his work highlights the advantages and limitations of satellite data in tackling real-world water challenges. Shagun discusses how nature-based solutions, remote sensing, and machine learning come together in his current research to support more sustainable water management. He also reflects on the importance of inclusive approaches that don’t leave out regions or people due to technical constraints. Throughout, he emphasises curiosity, collaboration, and the value of noticing what others might overlook.

Interview with Felix Kasiti, PhD Researcher, University of Stirling

I am currently a PhD candidate at the University of Stirling in Scotland, funded by the Natural Environmental Research Council through the IAPETUS DTP. My research focuses on using SAR Polarimetry to map and monitor floods in Scotland and Guyana. Additionally, I use ground radar to understand signal interactions under simulated flooding conditions, aiming to improve flood detection. My goal is to enhance the management and protection of floodplains and wetlands through advanced radar satellite technology and field-tested methodologies. Before my PhD, I worked as an assistant hydrologist at the SERVIR Eastern and Southern Africa project at the Regional Centre for Mapping of Resources for Development in Nairobi, Kenya, from 2019 to 2022. In this position, I led the development of an operational hydrological model that improved access to hydrological data for ungauged rivers in East Africa. I was also the lead hydrologist in the implementation of a flood early warning system in Malawi, integrating ground measurements and satellite-derived water level data to issue flood forecasts.

Interview with Shagun Garg, Doctoral Researcher, University of Cambridge

In this interview, Shagun Garg, a Doctoral Researcher at the University of Cambridge, shares his journey working at the intersection of water and space technologies. From early experiences with groundwater-related land subsidence in Delhi to improving flood detection methods, his work highlights the advantages and limitations of satellite data in tackling real-world water challenges. Shagun discusses how nature-based solutions, remote sensing, and machine learning come together in his current research to support more sustainable water management. He also reflects on the importance of inclusive approaches that don’t leave out regions or people due to technical constraints. Throughout, he emphasises curiosity, collaboration, and the value of noticing what others might overlook.

Report of the United Nations/Costa Rica/PSIPW - Sixth conference on the use of space technology for water management (San José and online, 7–10 May 2024, with on-site training on 11 May 2024)

The United Nations Office for Outer Space Affairs (UNOOSA), the Government of Costa Rica, and the Prince Sultan Bin Abdulaziz International Prize for Water (PSIPW) were jointly organizing a conference to promote the use of space technology in water management to the benefit of developing countries.

The Conference was heldin San José, Costa Rica, from 7-10 May 2024, hosted by and with the support of the Inter-American Institute for Cooperation on Agriculture (IICA) on behalf of the Government of Costa Rica.

Event

Stakeholder

Stimson Center

The Energy, Water, & Sustainability Program at the Stimson Center addresses important and timely policy issues and technical opportunities concerning energy, water, and sustainable development in the Global South from a multidisciplinary perspective.

Our work on transboundary river basins identifies pathways towards enhancing water security and optimizing tradeoffs between water, energy, and sustainable development options in the Mekong, Ganges-Brahmaputra, Indus, Aral Sea and Euphrates-Tigris river basins.

Earth Observation Data Centre for Water Resources Monitoring GmbH

Earth Observation Data Centre for Water Resources Monitoring GmbH (EODC) was established in 2014 as a direct response to the huge increase of satellite data volumes. To tackle the data streams, it has implemented an IT infrastructure and software service that supports storage, processing and re-distribution of EO data. This capability is offered to several Copernicus services, national and international research projects as well as to the private sector.

Person

Photo of Felix Isundwa Kasiti

Felix Kasiti

PhD Researcher University of Stirling

Felix is a PhD researcher at the University of Stirling, Stirling, UK, researching on the use of Synthetic Aperture Radar (SAR) in mapping floods. He recently worked as a hydrologist with SERVIR Eastern and Southern Africa project at the Regional Centre for Mapping of Resources for Development, Nairobi, Kenya from 2019 to 2022. 
 
In 2018, he obtained his M.Sc. degree on Water Science (Policy) from the Pan African University Institute of Water and Energy Sciences (PAUWES). Attained his B.Sc.