Flood Damage Assessment and Risk Scenario Analysis Based on the Upstream Supply Chain: A Case of Study 2016 Taihu Lake Basin Flood

ABSTRACT In the context of global climate change, regional flood disasters are becoming increasingly frequent, posing unprecedented challenges and threats to socioeconomic systems and fragile ecological environments. Given the highly interconnected nature of modern economic systems, the initial localized production shortages caused by floods can ripple through upstream supply chain networks and severely impact the wider region and national economy. Therefore, it is particularly urgent and important to assess in depth the economic losses of the upstream supply chain triggered by flood disasters and implement effective risk management strategies. To this end, we adopted a high‐precision multiregional input–output analysis framework to systematically analyze the chain reactions and economic losses of severe floods in the Taihu Lake Basin in 2016. This study not only quantifies the direct and indirect economic losses caused by floods but also explores the trajectories and strategies for postdisaster production recovery.

Authors

Institutions

Publication Details

Journal
Transactions in GIS
Published
2026-02-01
DOI
https://doi.org/10.1111/tgis.70201
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flood Damage Assessment and Risk Scenario Analysis Based on the Upstream Supply Chain: A Case of Study 2016 Taihu Lake Basin Flood

Yuan Liu, Lei Zhao, L. Zhang, Xiaojun Deng et al.
Transactions in GIS
Infrastructure Resilience and Vulnerability Analysis
article

Flood Damage Assessment and Risk Scenario Analysis Based on the Upstream Supply Chain: A Case of Study 2016 Taihu Lake Basin Flood

Yuan Liu, Lei Zhao, L. Zhang, Xiaojun Deng, Ling Xie
article en

Abstract

ABSTRACT In the context of global climate change, regional flood disasters are becoming increasingly frequent, posing unprecedented challenges and threats to socioeconomic systems and fragile ecological environments. Given the highly interconnected nature of modern economic systems, the initial localized production shortages caused by floods can ripple through upstream supply chain networks and severely impact the wider region and national economy. Therefore, it is particularly urgent and important to assess in depth the economic losses of the upstream supply chain triggered by flood disasters and implement effective risk management strategies. To this end, we adopted a high‐precision multiregional input–output analysis framework to systematically analyze the chain reactions and economic losses of severe floods in the Taihu Lake Basin in 2016. This study not only quantifies the direct and indirect economic losses caused by floods but also explores the trajectories and strategies for postdisaster production recovery.

Transactions in GISVol. 30(1)
Guangxi Normal University (CN), National Center for Climate Change Strategy and International Cooperation (CN), Zhejiang University of Finance and Economics (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 67%
Infrastructure Resilience and Vulnerability Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.