The Science of The Total Environment, Год журнала: 2024, Номер 956, С. 177345 - 177345
Опубликована: Ноя. 7, 2024
Язык: Английский
Coastal Engineering, Год журнала: 2025, Номер unknown, С. 104700 - 104700
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
8
Ocean & Coastal Management, Год журнала: 2025, Номер 261, С. 107530 - 107530
Опубликована: Янв. 6, 2025
Язык: Английский
Процитировано
3
The Science of The Total Environment, Год журнала: 2025, Номер 973, С. 179147 - 179147
Опубликована: Март 19, 2025
Язык: Английский
Процитировано
1
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Апрель 9, 2025
Nature-based Solutions (NbS) are increasingly recognized as effective measures for mitigating flood risks and enhancing climate change adaptation. However, evaluating their efficacy in delivering risk reduction ecosystem service (FRR-ESS) is usually limited by reliance on qualitative, expert-based "quick-scan" scoring methods. While already challenging present-day evaluations, this limitation becomes even more significant when addressing future scenarios, introducing deep uncertainties the evaluation. The present study introduces a model-based framework to quantify FRR-ESS provided coastal NbS, which integrates assessments with quantitative results from an eco-hydro-morphodynamic numerical model. model enables comparative evaluation of individual combined effects NbS following Building Blocks approach. By integrating habitat map prediction evaluation, response storm scenarios (i.e. wave sea level rise) investigated. methodology applied Mediterranean lagoon Sicily (Italy), can be easily adapted diverse ecosystems. Our findings underscore role habitats reducing highlight importance physically-based modelling into This approach provides robust flexible tool policymakers stakeholders make informed decisions that support both ecological sustainability disaster reduction.
Язык: Английский
Процитировано
1
Water, Год журнала: 2025, Номер 17(6), С. 810 - 810
Опубликована: Март 12, 2025
The study evaluates the implementation of check dams as nature-based solutions to address soil erosion, improve sediment quality, and enhance water retention in Urku Huayku ravine, located on Ilaló volcano Ecuador. Weekly samples were analysed from 2021 2023. Critical parameters measured include pH, electrical conductivity, nutrient concentrations, organic matter content. Macroinvertebrates collected assess biodiversity changes using Andean Biotic Index (ABI) Shannon Diversity Index. Results show significant improvements: quality remained neutral (average pH 7.06), while increased 0.2% 3.2% Additionally, improved, with a 355.6% increase macroinvertebrate abundance. Statistical tests confirmed positive impact quality. also identified potential areas for additional dam installations QGIS analysis, emphasising steep slopes ideal locations. This demonstrates efficacy restoration degraded ecosystems underscores their pivotal role climate change mitigation. Through enhanced storage matter, facilitated capture approximately 58% carbon. they contributed improved biodiversity. Further research is recommended optimise placement explore indicators Andes Mountain bodies over 3000 m above sea level.
Язык: Английский
Процитировано
0
Frontiers in Marine Science, Год журнала: 2025, Номер 12
Опубликована: Май 19, 2025
Coastal hazards, such as erosion and flooding, pose significant threats to many coastal areas, in extreme cases, have led the decimation of some communities. Historically, management has mostly focused on use grey infrastructure seawalls groynes. However, these interventions are costly can cause unintended consequences, promoting a shift toward Nature-based Solutions (NbS), mangroves. Mangroves, particularly, been proven protect shorelines due their ability attenuate waves trap sediment. there is limited research, particularly data-deficient regions Ghana, West Africa, support NbS initiatives. This study explored potential mangroves mitigate erosion, using 1D morphodynamic model XBeach. The baseline was validated against measured profiles, results show accurate predictions sediment volume changes with an overall RMSE 0.75 m. Based calibrations, we effects mature at varying densities berm within intertidal zone under current projected sea level conditions, erosion. reduction from 28 m 3 0.9 situation, representing 97% protection; 468 2.6 future rise 0.233 by 2040, indicating 99% protection. Notably, high mangroves, introduced berm, which more practical for area, provided up 53% situation future. These scenario-based simulations demonstrate dynamic defense strategy, approach providing valuable tool testing optimizing interventions.
Язык: Английский
Процитировано
0
Journal of Marine Science and Engineering, Год журнала: 2024, Номер 12(8), С. 1326 - 1326
Опубликована: Авг. 6, 2024
This study employs the XBeach surfbeat model (XBSB) to explore effects of vegetation on wave attenuation and dune erosion in a case Mexico Beach during Hurricane Michael. The XBSB was validated against laboratory experiments wave-induced by vegetation. In dunes Michael, different drag coefficients were evaluated investigate erosion. LiDAR data profiles before after Michael used for validation. findings reveal that significantly affects Under vegetated conditions, as coefficient value increases, also leading reduction An increase density enhances area, including reductions significant height flow velocity. However, rate change decreases increases. Through simulations under regular condition Beach, an optimal identified 800 units/m2. Beyond this density, additional does not substantially improve attenuation. Furthermore, position crest elevation is related location where alongshore velocity begins decrease. highlight essential role coastal enhancing resilience hurricanes.
Язык: Английский
Процитировано
3
Applied Ocean Research, Год журнала: 2024, Номер 154, С. 104326 - 104326
Опубликована: Ноя. 17, 2024
Язык: Английский
Процитировано
2
Applied Ocean Research, Год журнала: 2024, Номер 151, С. 104153 - 104153
Опубликована: Авг. 4, 2024
Downscaling is the process to obtain high-resolution data from low-resolution data. Recently statistical models using convolutional neural networks have gained popularity for fast downscaling of environmental fields, while their application coastal sea surface height and currents lacking. This research aims downscale depth-averaged current a resolution hundreds meters in regions with dynamic shorelines networks. Hourly outputs over one year physical numerical model region German Bight are used as input ground truth network. The results show that network effectively reconstructs scale factor 16 or even 64, accurately traces moving shorelines. global mean absolute error root square found be less than 0.03 m 0.07 m, respectively, m/s 0.05 m/s, respectively. These values around ten times smaller those obtained interpolation methods including nearest neighbor, bilinear bicubic. also replicates distribution errors reconstructed time average, 1st percentile 99th significantly methods, especially current. highlight ability complex shorelines, implications other fields shoreline tracking.
Язык: Английский
Процитировано
1
The Science of The Total Environment, Год журнала: 2024, Номер 956, С. 177345 - 177345
Опубликована: Ноя. 7, 2024
Язык: Английский
Процитировано
0