Vegetative nature-based solutions for coastal flood risk management: Benefits, challenges, and uncertainties DOI Creative Commons
Yengi Emmanuel Daro Justine, Avidesh Seenath

Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 261, P. 107520 - 107520

Published: Dec. 9, 2024

Language: Английский

Efficacy of Nature-based Solutions for coastal protection under a changing climate: A modelling approach DOI Creative Commons
Massimiliano Marino,

Sofia Nasca,

Ahmad I K Alkharoubi

et al.

Coastal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104700 - 104700

Published: Jan. 1, 2025

Language: Английский

Citations

6

The multidimensional influences of environmental factors on carbon storage: Evidence from Zagros Forests of Iran DOI

Maziar Haidari,

Yaghoub Iranmanesh,

Abolfazl Jaafari

et al.

Ecological Engineering, Journal Year: 2025, Volume and Issue: 212, P. 107523 - 107523

Published: Jan. 18, 2025

Language: Английский

Citations

0

Conserving seagrass ecosystems to meet global biodiversity and climate goals DOI
Carlos M. Duarte, Eugenia T. Apostolaki, Óscar Serrano

et al.

Published: Feb. 28, 2025

Language: Английский

Citations

0

Analyzing and Modeling Shoreline Variability at the Barrier Spit of Chilika Lagoon DOI
Subhasis Pradhan, Pratap Kumar Mohanty,

Rabindro Nath Samal

et al.

Marine Geodesy, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 36

Published: March 19, 2025

Shoreline change has emerged as an alarming threat to the coastline worldwide, impacting natural environment and human development. Among India's coastal lagoons, Chilika Lagoon bears international importance for its rich biological significance. However, growing erosion along Odisha coast poses a significant concern lagoon's stability. The present study investigates shoreline 80 km stretch of over 46-year period (1975–2020) using DSAS 5.0 model. was divided into four zones, each exhibiting distinct patterns accretion. Overall, accretion dominated erosion, with Zone 2 showing least variability 3 experiencing highest rates, particularly after artificial opening Sipakuda inlet in 2000. 4, high variability, demonstrated lower rate predictions 2013–2040, LITLINE model, revealed both erosional depositional trends, advancement south Gabakunda recession north Dhalabali inlet. Cyclonic storm landfall positions dynamics were identified key contributors change, especially Zones 4. Future wave climate simulations suggest lagoon is not at immediate risk from climate. highlights vulnerability northern spit, recommendations strategic management, mangrove restoration, periodic dredging inner channels mitigate erosion. These measures align principles SDGs 13, SDG 14, 11, 15, supporting sustainable management practices. This research underscores balancing ecological preservation resilience efforts.

Language: Английский

Citations

0

Predicting Morphological Changes Along a Macrotidal Coastline Using a Two‐Stage Machine Learning Model DOI Creative Commons
Pavitra Kumar, Nicoletta Leonardi

Water Resources Research, Journal Year: 2025, Volume and Issue: 61(4)

Published: April 1, 2025

Abstract Understanding and predicting coastal change is of the foremost importance to protect communities assets. This study analyzes field data from 125 locations along Morecambe coastline, consisting beach transects collected twice a year for more than decade (2007–2022). Wave at these were simulated using hydrodynamic Delft3D model, with full coupling FLOW WAVE modules. To model sediment volume changes observed this proposes two‐stage machine learning that incorporates behavior classification deep techniques predict in volumes environments. The first stage developed random forest classifier, classifies into four categories: eroding, accreting, stable, or undergoing short‐term fluctuations. second LSTM sequence‐to‐sequence models, uses output after erosion/accretion. classifier achieves testing accuracy 0.74. achieved regression 0.92 one‐step‐ahead (6 months) predictions time series, while 0.96 three‐time‐ahead (1.5 years) 0.88 ten‐time‐step‐ahead (5 prediction.

Language: Английский

Citations

0

Study on The Application of Nature Based Solutions (NBS) for The Mitigation of Coastal Erosion on TPI Tempursari beach Lumajang DOI Open Access

Muhammad Sirojudin,

Octavia Prihanesti Kartika Rini Suntoyo,

Wahyudi Wahyudi

et al.

IOP Conference Series Earth and Environmental Science, Journal Year: 2025, Volume and Issue: 1473(1), P. 012009 - 012009

Published: March 1, 2025

Abstract Lumajang has approximately 75 km of coastline, extending from Yosowilangun to Tempursari. Of these, 12 villages have been classified as Coastal villages. It is anticipated that these coastal will serve the primary base for management and marine areas. However, region subject erosion, observed in case TPI (Tempat Pelelangan Ikan) Tempursari Beach. The issue erosion beach area not received proper handling eroded by quite extensive severe. In response this issue, most common solutions, such construction seawalls breakwaters, are costly can unforeseen consequences surrounding vulnerable recent years, realisation prompted planners adopt an alternative approach protection environments, known Nature-Based Solutions (NBS). Nature-based solutions (NBS) constitute a category responsive beneficial responses enhance long-term ecosystem through utilisation natural processes. To address issues, ecosystems be restored, modified, rendered more adaptable or integrated. This study, particular, aims identify current problem using nature-based methods. end, it compile existing best practices tools solve occurring area. result study also contribute formulation strategies area, thereby facilitating resolution issues.

Language: Английский

Citations

0

Public perceptions of nature-based coastal solutions in the UK DOI Creative Commons
Avidesh Seenath, Scott M. R. Mahadeo, Jade Catterson

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123413 - 123413

Published: Nov. 30, 2024

Language: Английский

Citations

2

Vegetative nature-based solutions for coastal flood risk management: Benefits, challenges, and uncertainties DOI Creative Commons
Yengi Emmanuel Daro Justine, Avidesh Seenath

Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 261, P. 107520 - 107520

Published: Dec. 9, 2024

Language: Английский

Citations

0