Insights for River Restoration: The Impacts of Vegetation Canopy Length and Canopy Discontinuity on Riverbed Evolution

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(7)

Published: July 1, 2024

Abstract River restoration projects often involve vegetation planting to retain sediment and stabilize riverbanks. Laboratory experiments have explored the impact of rigid emergent canopies on bed morphology. Inside canopies, erosion is attributed vegetation‐induced turbulent kinetic energy ( TKE ). Based in‐canopy local criteria for movement, a method established validated predicting length region. In bare channel, related ratio canopy flow adjustment distance, L / I , exhibits two trends. At < 1, maximum depth, d s ) length, region increase with increasing length. ≥ are not influenced by remain constant. vegetated regions same plant density, discontinuous (streamwise interval width D yield weaker than continuous canopies. The mutual influence between must be considered if satisfies 3 . These results provide insights designing river projects.

Language: Английский

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Mitigating Coastal Flood Risks in the Sundarbans: A Combined InVEST and Machine Learning Approach

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2025, Volume and Issue: 138, P. 103855 - 103855

Published: Jan. 6, 2025

Language: Английский

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Integration of RUSLE model with remotely sensed data over Google Earth Engine to evaluate soil erosion in Central Indus Basin

Earth Surface Processes and Landforms, Journal Year: 2025, Volume and Issue: 50(3)

Published: March 6, 2025

Abstract Soil erosion presents a substantial environmental obstacle for farmers, especially in the plains of Indus Basin, which are characterised by rainfall scarcity. This study utilised remotely sensed data on Google Earth Engine (GEE) to estimate yearly soil implementing Revised Universal Loss Equation (RUSLE) model Central Basin. The study's primary objective was determine order importance and execute conservation strategies. input datasets were processed GEE produce essential factors, including erosivity ( R ), erodibility K slope length steepness LS land cover C ) management techniques P required model. area varied from 1 26.2 t ha −1 year . combined regions with low, moderate, high, extremely high rates amounted 445 397 ha. More precisely, 8670 (0.6%), 263 062 (18.2%) 468 310 (32.4%) allocated as first, second third‐class priority areas, respectively. These areas geographically dispersed across northwest eastern basin, sandy dunes infrequent agricultural cultivation. highlighted usability reliable estimation large scale. methodology amplifies effectiveness planning endeavours.

Language: Английский

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Weather-Driven Predictive Models for Jassid and Thrips Infestation in Cotton Crop

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 2803 - 2803

Published: March 21, 2025

Agriculture is a vital contributor to global food security but faces escalating threats from environmental fluctuations and pest incursions. Among the most prevalent destructive pests, Jassid (Amrasca biguttula) Thrips (Thrips tabaci) frequently afflict cotton, okra, other major crops, resulting in substantial yield losses worldwide. This paper integrates five machine learning (ML) models predict incidence based on key meteorological attributes, including temperature, relative humidity, wind speed, sunshine hours, evaporation. Two ensemble strategies, soft voting stacking, were evaluated enhance predictive performance. Our findings indicate that stacking yields superior results, achieving high multi-class AUC scores (0.985). To demystify underlying mechanisms of best-performing ensemble, this study employed SHapley Additive exPlanations (SHAP) quantify contributions individual weather parameters. The SHAP analysis revealed Standard Meteorological Week, evaporation, humidity consistently exert strongest influence forecasts. These insights align with biological studies highlighting role seasonality humid conditions fostering proliferation. Importantly, explainable approach bolsters practical utility AI-based solutions for integrated management (IPM), enabling stakeholders—farmers, extension agents, policymakers—to trust effectively operationalize data-driven recommendations. Future research will focus integrating real-time data satellite imagery further prediction accuracy, as well incorporating adaptive techniques refine model performance under varying climatic conditions.

Language: Английский

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Fly ash pollution causes morpho-anatomical and biochemical changes in Eichhornia crassipes (Mart.) Solms and Pistia stratiotes L: demonstrating stress-tolerant activity

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 23, 2025

Language: Английский

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Quantitative Analysis of the Seasonal Growth of Myricaria laxiflora on Flow Structure

Ecohydrology, Journal Year: 2025, Volume and Issue: 18(3)

Published: April 28, 2025

ABSTRACT Previous studies on vegetation–flow interactions have underestimated the morpho‐biomechanical complexity of riparian plants. By integrating mechanical testing and flume experiments, study deciphered morpho‐mechanical adaptations Myricaria laxiflora (a Three Gorges shrub) across its dormant period, early growth boom while analysing flow structure responses in wake area. Biomechanically, stem stiffness showed minimal variation between periods, but bending modulus increased twelvefold during period. Aquatic morphological changes were jointly determined by frontal area properties: Under maximum rates, greatest occurred followed period then From to vertical expansion zone shifted from regions distal bed areas adjacent bed, causing a corresponding descent velocity inflection points within downstream mean profiles. During development small leaves lateral branches enhanced area, elevated rates triggered vegetation reconfiguration, thereby weakening overall resistance. Turbulence analysis revealed spatially expanded sweep dominance intensified ejections vortices at shear boundary layers vegetation, amplified inward/outward linked branch growth, dense leaf morphology promoting turbulence dissipation, flexible stems homogenising stabilising vortical structures.

Language: Английский

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Assessment of soil erosion and sediment yield in response to land use and land cover changes using geospatial techniques in Dumuga Watershed, Ethiopia

All Earth, Journal Year: 2025, Volume and Issue: 37(1), P. 1 - 18

Published: Feb. 3, 2025

Soil erosion and sediment yield driven by land use cover changes; pose severe threats to ecological sustainability, agricultural productivity, watershed health. This study evaluates soil in the Dumuga Watershed, Ethiopia, from 1993 2023, with a focus on impact of changes. Utilising time series Landsat data (TM, ETM+, OLI/TIRS), analyzes key factors influencing erosion, including rainfall erosivity, erodibility, slope steepness, management, conservation practice. The findings highlight dramatic shift use, cultivated increasing 62.3% (915.3 km2) 77.0% (1,132.0 forest declining sharply 13.3% (196.0 3.8% (56.2 km2). transformation has exacerbated maximum loss rising 726.7 tons/ha/year 937.8 2023. area classified under very increased 41.0% 54.1%, directly correlating rise yield. These underscore urgent need for targeted strategies mitigate enhance retention, restore balance. Therefore, implementing integrated management approaches is essential safeguarding watershed's long-term productivity resilience.

Language: Английский

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Effects of Leafy Flexible Vegetation and Bedforms on Turbulent Flow and Sediment Transport

Journal of Geophysical Research Earth Surface, Journal Year: 2025, Volume and Issue: 130(3)

Published: March 1, 2025

Abstract Recent studies have shown that vegetation can trigger sediment resuspension and facilitate movement, highlighting the possibility of finding a linkage between turbulence transport rates in vegetated areas. This study investigates flow hydrodynamics, through double‐averaged analysis, focusing on data were acquired experiments with dunes leafy flexible characterized by different Leaf Area Indices (LAI), which denotes total one‐sided leaf area per unit ground (). Flow velocity was measured under both fixed‐ mobile‐bed conditions, fixed‐bed physical model representing final topography from experiments. The results suggest turbulent kinetic energy conditions is approximately two to three times higher than comparable experimental conditions. Moreover, spatially depth‐averaged intensity across various setups correlated dimensionless factor derived dune height wavelength , being water depth. correlation remained effective all tested setups, dominant influence geometry compared drag. show applying turbulence‐based models leads an underestimation denser vegetation, whereas near‐bed values provide better agreement measurements. Furthermore, used update bed‐load model, incorporating dunes.

Language: Английский

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Hydrodynamics and bed morphology in a double-layered partially vegetated mobile bed channel

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(3)

Published: March 1, 2025

This study investigates the hydrodynamics and sediment transport in a double-layered partially vegetated mobile bed channel, focusing on impact of submerged vegetation with submergence ratio 61.53% 30.77% flow dynamics morphology. Experiments were conducted straight, tilting rectangular flume staggered double layered covering half channel width. The three dimensional time-averaged velocity components, turbulent intensities, secondary current, kinetic energy, Reynolds shear stress are measured analyzed using contour plots along outcomes reveal that induces significant momentum exchange between non-vegetated sections. In section, dampens streamwise intensity near bed, promoting deposition enhancing stability. Momentum transfer at interface strengthens shear, increasing turbulence leading to greater erosion. Negative streamwise-vertical indicates helical flow, while transverse-vertical peaks bed. Flow diversion intensifies erosion high-energy vegetation-induced drag decelerates causing transition deeper section. Double-layered rivers or canals is more effective stabilizing materials. These findings provide critical insight for river restoration management, emphasizing necessity integrated management strategies balance across heterogeneous environments.

Language: Английский

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Optimizing nitrogen fertilization to enhance wheat productivity by regulating canopy-root traits and photosynthesis under elevated atmospheric ammonia concentration

European Journal of Agronomy, Journal Year: 2025, Volume and Issue: 169, P. 127664 - 127664

Published: May 8, 2025

Language: Английский

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