Data‐driven 3D modelling of long‐term Holocene delta evolution and sediment compaction: The Mekong Delta DOI Creative Commons
Selena Baldan, Philip S. J. Minderhoud,

Riccardo Xotta

et al.

Earth Surface Processes and Landforms, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 21, 2024

Summary The Vietnamese Mekong River Delta (VMD) is one of the largest and lowest elevated deltas on Earth, shaped over past thousands years following delta progradation sediment deposition. geologically young sediments have high porosity compressibility, resulting in natural consolidation (also known as autocompaction). Autocompaction a intrinsic process that governs spatio‐temporal morphological evolution shallow compaction (i.e., land subsidence) delta. As aggrades progrades, weight accumulated increases effective stress experienced by underlying sediments, driving internal processes. Compaction considerably contributes to subsidence VMD, influencing morphology elevation plain increasing exposure hazards like flooding relative sea‐level rise. In this study, we introduce novel methodology quantify accumulation autocompaction while taking into account depositional history heterogeneous nature subsurface VMD. We derived history, spatial heterogeneity palaeo‐sedimentation rates combining extensive datasets with lithological borelogs, datings geomechanical characterization delta's most representative lithologies. To simulate formation last 4000 years, employ NATSUB3D finite element model deposition time using an adaptive three‐dimensional mesh. 3D hydro‐stratigraphical provides unique insights Holocene VMD current dynamics. enables prediction under future can facilitate process‐based quantification human‐engineered sedimentation. This unlocks new opportunities evaluate effectiveness nature‐based solutions enhancing strategies aimed prevent loss combat rise similar lowly coastal‐deltaic landforms elsewhere.

Language: Английский

Evolution of groundwater system in the Pearl River Delta and its adjacent shelf since the late Pleistocene DOI Creative Commons
Chong Sheng,

Jiu Jimmy Jiao,

Jinpeng Zhang

et al.

Science Advances, Journal Year: 2024, Volume and Issue: 10(15)

Published: April 10, 2024

Our extensive field studies demonstrate that saline groundwater inland and freshened offshore coexist in the same aquifer system Pearl River delta its adjacent shelf. This counterintuitive phenomenon challenges commonly held assumption onshore is typically fresh, while saline. To address this knowledge gap, we conduct a series of sophisticated paleo-hydrogeological models to explore formation mechanism evolution process inland-shelf systems. findings indicate shelf has formed during lowstands since late Pleistocene, generated by paleo-seawater intrusion Holocene transgression. reveals terrestrial systems have undergone alternating changes on geological timescale. The exhibits hysteresis responding paleoclimate changes, with lag 7 8 thousand years, suggesting paleoclimatic forcings exert significantly residual influence present-day system.

Language: Английский

Citations

6
Data, knowledge, and modeling challenges for science-informed management of river deltas DOI Creative Commons
Rafael Schmitt, Philip S. J. Minderhoud

One Earth, Journal Year: 2023, Volume and Issue: 6(3), P. 216 - 235

Published: March 1, 2023

Language: Английский

Citations

13
Climate change and urban sprawl: Unveiling the escalating flood risks in river deltas with a deep dive into the GBM river delta DOI

Shupu Wu,

Xudong Zhou, Johan Reyns

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 947, P. 174703 - 174703

Published: Oct. 1, 2024

Language: Английский

Citations

5
Towards Integrated Flood Management: Vulnerability and Flood Risk in the Ayeyarwady Delta of Myanmar DOI Creative Commons
Anissa Vogel, Katharina Seeger, Dominik Brill

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 114, P. 104723 - 104723

Published: Aug. 6, 2024

Despite the rising global flood risk, impacts of flooding remain systematically underestimated, leading to significant consequences for particularly vulnerable river deltas. Most studies focus either on single hazards or social vulnerability while overlooking interconnected dynamics deltaic social-ecological systems. In response first priority Sendai Framework, which calls an understanding disaster risk in all its dimensions, we apply Global Delta Risk Index Ayeyarwady Myanmar. We combine 55 indicators social- and ecosystem with 100-year, 500-year, 1,000-year scenarios pluvial, fluvial, coastal exposure at sub-delta scale. Using townships as units analysis allows bridging gap between local case studies, providing insights that are meaningful risk-informed development delta a whole system. also examine distinctive characteristics define systems prone flooding. Our results reveal patterns drivers affect least 65 % delta's population 60 ecosystem, self-reinforcing dynamics, but those contribute mutual resilience both argue principles integrated management should be applied leverage scarce resources simultaneously reduce secure livelihoods preserve services.

Language: Английский

Citations

5
Delta sustainability from the Holocene to the Anthropocene and envisioning the future DOI
Edward J. Anthony,

Jaia Syvitski,

Florin Zăinescu

et al.

Nature Sustainability, Journal Year: 2024, Volume and Issue: 7(10), P. 1235 - 1246

Published: Oct. 9, 2024

Language: Английский

Citations

5
Developing a Semi-Automated Technique of Surface Water Quality Analysis Using GEE And Machine Learning: A Case Study for Sundarbans DOI Creative Commons
Sheikh Fahim Faysal Sowrav,

Sujit Kumar Debsarma,

Mohan Kumar Das

et al.

Heliyon, Journal Year: 2025, Volume and Issue: 11(3), P. e42404 - e42404

Published: Feb. 1, 2025

This study presents a semi-automated approach for assessing water quality in the Sundarbans, critical and vulnerable ecosystem, using machine learning (ML) models integrated with field remotely-sensed data. Key parameters-Sea Surface Temperature (SST), Total Suspended Solids (TSS), Turbidity, Salinity, pH-were predicted through ML algorithms interpolated Empirical Bayesian Kriging (EBK) model ArcGIS Pro. The predictive framework leverages Google Earth Engine (GEE) AutoML, utilizing deep libraries to create dynamic, adaptive that enhance prediction accuracy. Comparative analyses showed ML-based effectively captured spatial temporal variations, aligning closely measurements. integration provides more efficient alternative traditional methods, which are resource-intensive less practical large-scale, remote areas. Our findings demonstrate this technique is valuable tool continuous monitoring, particularly ecologically sensitive areas limited accessibility. also offers significant applications climate resilience policy-making, as it enables timely identification of deteriorating trends may impact biodiversity ecosystem health. However, acknowledges limitations, including variability data availability inherent uncertainties predictions dynamic systems. Overall, research contributes advancement monitoring techniques, supporting sustainable environmental management practices Sundarbans against emerging challenges.

Language: Английский

Citations

0
Applying machine learning techniques for sea level rise forecasting in Axim: tackling missing data and outliers DOI

Emmanuel Ayitey,

Francis Ayiah-Mensah, Samuel Nunoo

et al.

Modeling Earth Systems and Environment, Journal Year: 2025, Volume and Issue: 11(3)

Published: March 8, 2025

Language: Английский

Citations

0
Modeling of Hydrodynamic Processes of the Estuaries of the European Part of the Russian Arctic under Possible Climate Changes DOI
Inna Krylenko, С. В. Лебедева,

E. D. Panchenko

et al.

Water Resources, Journal Year: 2025, Volume and Issue: 52(1), P. 45 - 57

Published: Feb. 1, 2025

Language: Английский

Citations

0
How consistent are adaptation strategies with ongoing climatic and environmental changes in the Vietnamese Mekong Delta: A systematic review DOI Creative Commons
Thi Vo, T Huynh, Peter A. Tamás

et al.

Environmental Science & Policy, Journal Year: 2025, Volume and Issue: 168, P. 104064 - 104064

Published: April 21, 2025

Language: Английский

Citations

0
Implications of policy changes for coastal landscape patterns and sustainability in Eastern China DOI Creative Commons
Yafei Wang,

Jinfeng Liao,

Yuxuan Ye

et al.

Landscape Ecology, Journal Year: 2024, Volume and Issue: 39(1)

Published: Jan. 1, 2024

Abstract Context The capacity of a landscape to maintain multifunctionality through ongoing pressures relates its sustainability and is affected by land use policy environmental changes. In coastal zones, limited empirical evidence exists regarding the impact macro-level changes on local landscapes their resulting temporal spatial responses. Objectives This paper investigates national provincial policies patterns in China’s Zhejiang zone, encompassing human expansion ecological restoration terms sustainability. Methods A cluster-based pattern mining conducted from 1990 2020 using Google Earth Engine, which coupled with historical classification analysis. Results Coastal zone evolved three stages: development-oriented (1990–2010), conservation turning (2010–2017), land-sea coordination (2017-present). Consequently, significant differences are observed. Artificial surface aligned these stages, especially Hangzhou Bay, Xiangshan Sanmen Bay. Expansion responded more swiftly development-stimulating policies, exhibiting longer-lasting effects. Conservation faced delays due conflicting interests, varied implementation entities, unsynchronized cycles, lack coordinated priorities across terrestrial marine domains. Conclusions study provides insights into processes offering implications for It facilitates an evaluation effectiveness suggests differentiated sustainable transformation plans. Moreover, it underscores need strengthen between sea development effective management

Language: Английский

Citations

3