2018
DOI: 10.3390/w10020157
|View full text |Cite
|
Sign up to set email alerts
|

Impacts of Climate Change and Land Subsidence on Inundation Risk

Abstract: In this study, a physiographic drainage-inundation model was used to analyse the impacts of land subsidence and climate change on inundation disaster and risk in a land subsidence area. The results indicated that for land subsidence and land subsidence combined with climate change, inundation area, and volume increased under one-and two-day storms for 2-, 5-, 10-, 25-, 50-, 100-, and 200-year return periods. Moreover, locations that originally had high inundation depth showed even greater inundated areas and v… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
13
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
10

Relationship

2
8

Authors

Journals

citations
Cited by 14 publications
(13 citation statements)
references
References 8 publications
0
13
0
Order By: Relevance
“…In recent decades, climate change has altered the frequency and intensity of storms and their spatial distribution [17], leading to remarkable environmental changes such as increased sediment transfer from slope land to river channels [18], inundation, distribution and behavior of plants [19], and so forth. In addition, Schleiss, Franca, Juez, and De Cesare [12] have emphasized the pervasive role climate change has on processes related to reservoir sedimentation.…”
Section: Introductionmentioning
confidence: 99%
“…In recent decades, climate change has altered the frequency and intensity of storms and their spatial distribution [17], leading to remarkable environmental changes such as increased sediment transfer from slope land to river channels [18], inundation, distribution and behavior of plants [19], and so forth. In addition, Schleiss, Franca, Juez, and De Cesare [12] have emphasized the pervasive role climate change has on processes related to reservoir sedimentation.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, IPCC identifies A2, A1B and B1 as the most probable scenarios; hence, this study adopted the A1B-S for analysis, which is regarded as a worse scenario and is similar to the A1B scenario. The worst-case scenario is primarily obtained through subtracting or adding one standard deviation between the estimated values of GCMs from the multi-model ensemble of all GCMs [30]. Monthly precipitation scenario information was further combined with a weather generator to evaluate the impact of climate change on daily precipitation volume.…”
Section: Input Data and Model Setupmentioning
confidence: 99%
“…The rainfall-runoff model adopted in this study was the physiographic drainage-inundation (PHD) model, which has been successfully applied to estimate rainfall runoff of various areas in Taiwan [21][22][23][24][25][26]. Conducting analysis with this model first involved categorizing the analysis areas by topography and water system.…”
Section: Rainfall-runoff Modelmentioning
confidence: 99%