Mapping inundation from sea level rise and its interaction with land cover in the Sundarbans mangrove forest DOI Creative Commons
Akbar Hossain Kanan, Francesco Pirotti, Mauro Masiero

et al.

Climatic Change, Journal Year: 2023, Volume and Issue: 176(8)

Published: July 21, 2023

Abstract The sea level rise (SLR) in the Sundarbans areas is higher than global-average rate of rise, and many studies assume that most dry land will be inundated by end twenty-first century. This study aims to analyze amount can potentially SLR impact under different cover conditions. Four scenarios, a digital elevation data grid, net subsidence are used map 2100. Results for low (35 cm), mid (52 high (70 extreme (147 cm) scenarios indicate landmass area flooded up 40 km 2 (1%), 72 (1.8%), 136 (3.4%), 918 (23%), respectively, current −2.4 mm/year Except low, mid, result riverbank beach covered water. potential inundation vegetation classes already exist today (2020) nominal scenarios. We also analyzed sensitivity results through station-based data, which fits with rate. concluded aspect not directly affect Sundarbans; however, indirectly related threats anthropogenic disturbances major drivers Sundarbans’ degradation work discusses reasonable integrating custom land-cover includes three forest-density categories. study’s findings contribute forest management planning support UN goals Bangladesh Delta Plan.

Language: Английский

Earth’s sediment cycle during the Anthropocene DOI
James P. M. Syvitski, Juan D. Restrepo, Yoshiki Saito

et al.

Nature Reviews Earth & Environment, Journal Year: 2022, Volume and Issue: 3(3), P. 179 - 196

Published: Feb. 1, 2022

Language: Английский

Citations

338
Synthesis of the distribution of subsidence of the lower Ganges-Brahmaputra Delta, Bangladesh DOI Creative Commons
M. S. Steckler, Bar Oryan, Carol A. Wilson

et al.

Earth-Science Reviews, Journal Year: 2021, Volume and Issue: 224, P. 103887 - 103887

Published: Dec. 6, 2021

Deltas, the low-lying land at river mouths, are sensitive to delicate balance between sea level rise, subsidence and sedimentation. Bangladesh Ganges-Brahmaputra Delta (GBD) have been highlighted as a region risk from sea-level but reliable estimates of limited. While early studies suggested high rates relative recent papers estimate more modest rates. Our objective is better quantify magnitude, spatial variability, depth variation sediment compaction in lower GBD evaluate processes controlling them pattern rise this vulnerable region. We combine hand-drilled tube wells historic sites (1–5 mm/y), GNSS gauges (4–8 mm/y) RSET-MH borehole vertical strainmeters (9–10 SW Bangladesh. The differences different types measurements reflect timescales, distribution sensitivity observations. Rates for times >300y providing data on timescale compaction. also observe related degree which devices measure shallow deep subsidence. Higher values greater component young deposits soil organic matter degradation. Thus, we environments physical settings. These indicate that planning adaptation rising level, hard construction with solid foundation may experience than open fields or reclaimed natural anthropogenic Land increases impact rise. six examine coastal results show causes subsidence, including sediments varies both spatially depth, degradation significant contribution This suggests foundation, such buildings embankments,

Language: Английский

Citations

64
Sediment delivery to sustain the Ganges-Brahmaputra delta under climate change and anthropogenic impacts DOI Creative Commons
Jessica L. Raff, S. L. Goodbred, Jennifer Pickering

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: April 27, 2023

The principal nature-based solution for offsetting relative sea-level rise in the Ganges-Brahmaputra delta is unabated delivery, dispersal, and deposition of rivers' ~1 billion-tonne annual sediment load. Recent hydrological transport modeling suggests that strengthening monsoon precipitation 21st century could increase this delivery 34-60%; yet other studies demonstrate decline 15-80% if planned dams river diversions are fully implemented. We validate these modeled ranges by developing a comprehensive field-based budget quantifies supply under varying Holocene climate conditions. Our data reveal natural responses comparable to previously results suggest increased may be capable accelerated rise. This prospect naturally sustained presents possibilities beyond dystopian future often posed system, but implementation currently proposed would preclude such opportunities.

Language: Английский

Citations

37
Building resilience in Asian mega-deltas DOI
Faith Ka Shun Chan, Amelie Paszkowski, Zilin Wang

et al.

Nature Reviews Earth & Environment, Journal Year: 2024, Volume and Issue: 5(7), P. 522 - 537

Published: June 4, 2024

Language: Английский

Citations

15
Arsenic contamination in the groundwater of Northeastern India: Critical understandings on geotectonic controls and the need for intervention DOI
Nikita Neog, Ritusmita Goswami, Durga Prasad Panday

et al.

Current Opinion in Environmental Science & Health, Journal Year: 2024, Volume and Issue: 38, P. 100539 - 100539

Published: Feb. 8, 2024

Language: Английский

Citations

13
Spatio-temporal changes and hydrological forces of wetland landscape pattern in the Yellow River Delta during 1986–2022 DOI Creative Commons

Mengqi Qiu,

Yanxu Liu, Peng Chen

et al.

Landscape Ecology, Journal Year: 2024, Volume and Issue: 39(3)

Published: Feb. 19, 2024

Abstract Context Estuarine wetlands provide valuable ecosystem services, but 20–78% of coastal are facing the risk loss by end century. The Yellow River Delta (YRD) wetland, one most productive delta areas in world, has undergone dramatic changes under influence a precipitous drop sediment delivery and runoff, coupled with invasion Spartina alterniflora . Monitoring spatio-temporal patterns, thresholds, drivers change wetland landscapes is critical for sustainable management wetlands. Objectives Generate annual mapping salt marsh vegetation YRD from 1986 to 2022, analyze trends patch area landscape pattern, explain hydrological pattern evolution. Methods We combined Landsat 5‒8 Sentinel-2 images, phenology, remote sensing indices, Random Forest supervised classification map typical YRD. applied piecewise linear regression stepwise multiple assess impact factors on pattern. Results identified three stages evolution 1997 2009 as junctures, including rapid expansion stage, gradual decline bio-invasion stage. In expanded 70%, while ( Phragmites australis ) was reduced 25%. 21% 16%. coverage rapidly, 68-fold increase relative 2009, expanding at an average rate 344 hm 2 per year. Conclusions Areas total tidal flat, were significantly influenced cumulative which together explained 61.5%, 75.7% 63.8% their variation, respectively. Wetland flat increased delivery, runoff had weak negative effect. For , positive effect, whereas Water resources regulation measures should be taken prevent degradation ecosystems, intervention can implemented during seedling stage control

Language: Английский

Citations

12
Coastal vulnerability assessment to multi hazards in the exposed coast of Southeastern Coastal Region of Bangladesh DOI
Dibash Deb, Mohammad Muslem Uddin,

Abu Sharif Md. Mahbub-E-Kibria

et al.

Regional Studies in Marine Science, Journal Year: 2024, Volume and Issue: 73, P. 103484 - 103484

Published: March 28, 2024

Language: Английский

Citations

11
Novel optimized deep learning algorithms and explainable artificial intelligence for storm surge susceptibility modeling and management in a flood-prone island DOI

Mohammed J. Alshayeb,

Hoang Thi Hang, Ahmed Ali A. Shohan

et al.

Natural Hazards, Journal Year: 2024, Volume and Issue: 120(6), P. 5099 - 5128

Published: Feb. 2, 2024

Language: Английский

Citations

10
Reservoir water level decline accelerates ground subsidence: InSAR monitoring and machine learning prediction of surface deformation in the Three Gorges Reservoir area DOI Creative Commons
Jinzhong Yang,

Pinglang Kou,

Dong Xu

et al.

Frontiers in Earth Science, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 13, 2025

Introduction Surface deformation in the Three Gorges Reservoir area poses significant threats to infrastructure and safety due complex geological hydrological factors. Despite existing studies, systematic exploration of long-term characteristics their driving mechanisms remains limited. This study combines SBAS-InSAR technology machine learning analyze predict surface Fengjie County, Chongqing, China, between 2020 2022, focusing on riverside urban ground, road slopes, ancient landslides reservoir area. Methods was applied 36 Sentinel-1A images monitor deformation, complemented by meteorological data. Machine models—Random Forest (RF), Extremely Randomized Trees (ERT), Gradient Boosting Decision Tree (GBDT), Support Vector Regression (SVR), Long Short-Term Memory (LSTM)—were evaluated using six metrics, including RMSE, R 2 , SMAPE, assess predictive performance across diverse settings. Results Deformation rates for were −3.48 ± 2.91 mm/yr, −5.19 3.62 −6.02 4.55 respectively, with exhibiting most pronounced deformation. A negative correlation observed water level decline subsidence, highlighting influence seasonal adjustments. Urbanization development further exacerbated processes. Among models, LSTM demonstrated superior accuracy but showed overestimation trends landslide areas. Discussion adjustments emerged as a critical driver rapid declines leading increased pore pressure soil compression. Seasonal effects particularly evident, higher subsidence during after rainy season. Human activities, urbanization construction, significantly intensified disrupting natural conditions. Progressive slope failure linked expansion underscored impacts engineering activities. For landslides, accelerated patterns prolonged drought reservoir-induced changes. While models high accuracy, limitations settings highlight need hybrid approaches combining physical models. Future research should emphasize developing integrated frameworks risk assessment mitigation strategies environments. Conclusions provides new insights into dynamics area, emphasizing interplay hydrological, geological, anthropogenic The findings adaptive management improved mitigate risks.

Language: Английский

Citations

1
Multi-asymmetry on residual sediment transport in the branching channels of the Yangtze Estuary DOI
Shengran Zhou, Chunyan Zhu, J. Lin

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132947 - 132947

Published: Feb. 1, 2025

Language: Английский

Citations

1