Coastal Dam Inundation Assessment for the Yellow River Delta: Measurements, Analysis and Scenario
Coastal dams along the Yellow River Delta are built to prevent seawater intrusion. However, land subsidence caused by significant oil, gas and brine extraction, as well as sediment compaction, could exacerbate the flooding effects of sea-level rise and storm surge. In order to evaluate the coastal d...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/21/3658 |
_version_ | 1797548550057361408 |
---|---|
author | Guoyang Wang Peng Li Zhenhong Li Dong Ding Lulu Qiao Jishang Xu Guangxue Li Houjie Wang |
author_facet | Guoyang Wang Peng Li Zhenhong Li Dong Ding Lulu Qiao Jishang Xu Guangxue Li Houjie Wang |
author_sort | Guoyang Wang |
collection | DOAJ |
description | Coastal dams along the Yellow River Delta are built to prevent seawater intrusion. However, land subsidence caused by significant oil, gas and brine extraction, as well as sediment compaction, could exacerbate the flooding effects of sea-level rise and storm surge. In order to evaluate the coastal dam vulnerability, we combined unmanned aerial vehicle (UAV) Light Detection and Ranging (LiDAR) with small baseline subsets (SBAS) interferometric synthetic aperture radar (InSAR) results to generate an accurate coastal dam digital elevation model (DEM) over the next 10, 30 and 80 years. Sea-level simulation was derived from the relative sea-level rise scenarios published by the Intergovernmental Panel on Climate Change (IPCC) and local long-term tide gauge records. Assuming that the current rate of dam vertical deformation and sea-level rise are linear, we then generated different inundation scenarios by the superposition of DEMs and sea-levels at different periods by way of a bathtub model. We found that the overtopping event would likely occur around Year 2050, and the northern part of the dam would lose its protective capability almost entirely by the end of this century. This article provides an alternative cost-effective method for the detection, extraction and monitoring of coastal artificial infrastructure. |
first_indexed | 2024-03-10T15:01:04Z |
format | Article |
id | doaj.art-7493b03d6ffe4b8594ea909a37a053bb |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-10T15:01:04Z |
publishDate | 2020-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj.art-7493b03d6ffe4b8594ea909a37a053bb2023-11-20T20:11:59ZengMDPI AGRemote Sensing2072-42922020-11-011221365810.3390/rs12213658Coastal Dam Inundation Assessment for the Yellow River Delta: Measurements, Analysis and ScenarioGuoyang Wang0Peng Li1Zhenhong Li2Dong Ding3Lulu Qiao4Jishang Xu5Guangxue Li6Houjie Wang7Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Lab of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao 266100, ChinaInstitute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Lab of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao 266100, ChinaInstitute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Lab of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao 266100, ChinaInstitute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Lab of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao 266100, ChinaInstitute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Lab of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao 266100, ChinaInstitute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Lab of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao 266100, ChinaInstitute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Lab of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao 266100, ChinaInstitute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Lab of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao 266100, ChinaCoastal dams along the Yellow River Delta are built to prevent seawater intrusion. However, land subsidence caused by significant oil, gas and brine extraction, as well as sediment compaction, could exacerbate the flooding effects of sea-level rise and storm surge. In order to evaluate the coastal dam vulnerability, we combined unmanned aerial vehicle (UAV) Light Detection and Ranging (LiDAR) with small baseline subsets (SBAS) interferometric synthetic aperture radar (InSAR) results to generate an accurate coastal dam digital elevation model (DEM) over the next 10, 30 and 80 years. Sea-level simulation was derived from the relative sea-level rise scenarios published by the Intergovernmental Panel on Climate Change (IPCC) and local long-term tide gauge records. Assuming that the current rate of dam vertical deformation and sea-level rise are linear, we then generated different inundation scenarios by the superposition of DEMs and sea-levels at different periods by way of a bathtub model. We found that the overtopping event would likely occur around Year 2050, and the northern part of the dam would lose its protective capability almost entirely by the end of this century. This article provides an alternative cost-effective method for the detection, extraction and monitoring of coastal artificial infrastructure.https://www.mdpi.com/2072-4292/12/21/3658coastal daminundation assessmentUAV-LiDARSBAS-InSARdigital elevation modelsea-level rise |
spellingShingle | Guoyang Wang Peng Li Zhenhong Li Dong Ding Lulu Qiao Jishang Xu Guangxue Li Houjie Wang Coastal Dam Inundation Assessment for the Yellow River Delta: Measurements, Analysis and Scenario Remote Sensing coastal dam inundation assessment UAV-LiDAR SBAS-InSAR digital elevation model sea-level rise |
title | Coastal Dam Inundation Assessment for the Yellow River Delta: Measurements, Analysis and Scenario |
title_full | Coastal Dam Inundation Assessment for the Yellow River Delta: Measurements, Analysis and Scenario |
title_fullStr | Coastal Dam Inundation Assessment for the Yellow River Delta: Measurements, Analysis and Scenario |
title_full_unstemmed | Coastal Dam Inundation Assessment for the Yellow River Delta: Measurements, Analysis and Scenario |
title_short | Coastal Dam Inundation Assessment for the Yellow River Delta: Measurements, Analysis and Scenario |
title_sort | coastal dam inundation assessment for the yellow river delta measurements analysis and scenario |
topic | coastal dam inundation assessment UAV-LiDAR SBAS-InSAR digital elevation model sea-level rise |
url | https://www.mdpi.com/2072-4292/12/21/3658 |
work_keys_str_mv | AT guoyangwang coastaldaminundationassessmentfortheyellowriverdeltameasurementsanalysisandscenario AT pengli coastaldaminundationassessmentfortheyellowriverdeltameasurementsanalysisandscenario AT zhenhongli coastaldaminundationassessmentfortheyellowriverdeltameasurementsanalysisandscenario AT dongding coastaldaminundationassessmentfortheyellowriverdeltameasurementsanalysisandscenario AT luluqiao coastaldaminundationassessmentfortheyellowriverdeltameasurementsanalysisandscenario AT jishangxu coastaldaminundationassessmentfortheyellowriverdeltameasurementsanalysisandscenario AT guangxueli coastaldaminundationassessmentfortheyellowriverdeltameasurementsanalysisandscenario AT houjiewang coastaldaminundationassessmentfortheyellowriverdeltameasurementsanalysisandscenario |