Integrating Google Earth Engine and GIS for RUSLE-based soil erosion and sediment yield assessment in Borkena Watershed, Ethiopia

Journal of Sedimentary Environments, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 10, 2025

Language: Английский

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Investigating the effects of water and wind erosion on different hillslope aspects on the Loess Plateau of China by using 137Cs

CATENA, Journal Year: 2024, Volume and Issue: 238, P. 107879 - 107879

Published: Feb. 10, 2024

Language: Английский

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Wind energy characterization using multifractal formalism at two different altitudes in a tropical country

Modeling Earth Systems and Environment, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 8, 2025

Language: Английский

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Enhanced Wind Erosion Control by Alfalfa Grassland Compared to Conventional Crops in Northern China

Agronomy, Journal Year: 2025, Volume and Issue: 15(2), P. 387 - 387

Published: Jan. 31, 2025

Wind erosion poses a significant challenge to agricultural sustainability in Northern China’s arid regions. This study investigated the effectiveness of alfalfa grassland versus conventional cropland controlling wind across nine sites three agroecological Using Sentinel-2 satellite imagery and Revised Erosion Equation (RWEQ) model, we analyzed vegetation cover duration quantified soil from 2018 2020. The results showed that extended by 80 days annually compared cropland, with most extension occurring spring. Alfalfa demonstrated superior control, reducing losses 50% (24.02 50.70 t/ha/yr) increasing retention threefold (1.52 0.59 cropland. northwest region experienced highest rates, while management practices significantly influenced alfalfa’s conservation effectiveness. Multiple regression analysis revealed annual precipitation as primary factors affecting erosion. These findings suggest integrating into crop rotations could effectively enhance erosion-prone

Language: Английский

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Comparing annual extreme winds in Iran predicted by numerical weather forecasting and Gram-Charlier statistical model with meteorological observation data

Building and Environment, Journal Year: 2024, Volume and Issue: 261, P. 111726 - 111726

Published: June 6, 2024

Language: Английский

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Geo-Environmental Risk Assessment of Sand Dunes Encroachment Hazards in Arid Lands Using Machine Learning Techniques

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11139 - 11139

Published: Dec. 19, 2024

Machine Learning Techniques (MLTs) and accurate geographic mapping are crucial for managing natural hazards, especially when monitoring the movement of sand dunes. This study presents integration MLTs with information systems (GIS) “R” software to monitor dune in Najran City, Saudi Arabia (KSA). Utilizing Linear Support Vector (SVM), Random Forest (RF), Artificial Neural Networks (ANN) nine dune-related variables, this introduces a new Drifting Sand Index (DSI) effectively identifying accumulations. The DSI incorporates multispectral sensors data demonstrates robust capability dynamics. Field surveys spatial analysis were used identify about 100 locations, which then divided into training (70%) validation (30%) sets at random. These models produced thorough encroachment risk map that areas five hazard zones: very low, medium, high, high risk. results show an average 0.8 m/year towards southeast. Performance evaluation utilizing Area Under Curve-Receiver Operating Characteristic (AUC-ROC) approach revealed AUC values 96.2% SVM, 94.2% RF, 93% ANN, indicating RF (AUC = 96.2%) as most effective MLTs. provides valuable insights sustainable development environmental protection, enabling decision-makers prioritize regions mitigation techniques against encroachment.

Language: Английский

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Predicting Annual Extreme Winds in Iran Using Numerical Weather Forecasting, Meteorological Observation, and Statistical Model

Published: Jan. 1, 2024

Iran has been experienced severe dust storm due to the occurrence of strong wind speeds causing sand erosion owing semi-arid and arid climates. Wind speed predictions by numerical weather forecasting (NWF) is indispensable; however, applicability NWF for predicting annually extreme not well known. Therefore, this study compares three-hour averaged in one year predicted a model observed at 390 stations validate model. In addition, statistical was employed estimate probability densities both observational data output. As model, mesoscale Weather Research Forecasting (WRF) utilized simulate speeds. The results indicate that observation are consistent with modeled datasets regarding relationships among mean, standard deviation, skewness, while WRF tends overestimate mean predictability annual possible using peak factor. Moreover, skewness emerged as an influential parameter winds. Lastly, Gram-Charlier series predict PDFs speeds, demonstrating effectiveness capturing positively skewed distributions. present analyses can broaden usage output methods Iran.

Language: Английский

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Monitoring the Vegetation Condition of Gorumara National Park Using NDVI and NDMI Indices

International Journal of Bio-resource and Stress Management, Journal Year: 2024, Volume and Issue: 15(Feb, 2), P. 01 - 07

Published: Feb. 19, 2024

The present study was conducted from November, 2022 to June, 2023 aims analyze and detect changes in vegetation using the Normalized Difference Vegetation Index (NDVI) Moisture (NDMI) Gorumara National Park, Jalpaiguri district, West Bengal, India. To calculate NDVI NDMI values, Landsat 8 level-1 images acquired between 2016 2021. Different band combinations of remote sensing data are analyzed classify condition cover. For this study, 4 (Red), 5 (NIR), 6 (SWIR) multi-spectral used separately. rising use satellite Geographic Information System (GIS) for civilian purposes has shown itself be most cost-effective time-effective method mapping monitoring conditions changes. Open-source software such as QGIS Semi-Automatic Classification Plugin (SCP) image pre-processing. According classifications, area under high moisture content slightly increased by 0.15% 0.23%, respectively. During period very areas covered 2020 2017, findings, helpful identifying area’s surface features, which is determining vegetation’s general health, providing required long-term conservation efforts, developing efficient management plans.

Language: Английский

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Assessment of Soil Loss Due to Wind Erosion and Dust Deposition: Implications for Sustainable Management in Arid Regions

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(23), P. 10822 - 10822

Published: Nov. 22, 2024

Soil loss due to wind erosion and dust deposition has become a growing concern, particularly in arid regions like Al-Baha, Saudi Arabia. The aim of this study was quantitatively assess soil using three different collection methods across 20 sites during the summer 2022. include Big Spring Number Eight (BSNE), which measures airborne particles passive samplers; Surface Dust Collector (SDC), designed collect settling on ground surface; Marble (MDCO), utilizes marble-coated surfaces trap measure deposition. These collectively provide comprehensive evaluation dynamics area. objective evaluate effects properties, offering insights into mechanisms environments. revealed significant variations characteristics, including low organic matter content (<1%), high calcite (up 19.62%), increased salinity levels, with notable quantities Cl− (211.58 meq kg⁻1) Na⁺ (165.98 kg⁻1). July showed highest (0.0133 ton ha−1), at site S11, while lowest S5. This research offers novel nonlinear relationship between time, contributing sustainable management strategies. By aligning Arabia’s Vision 2030 Sustainable Development Goals (SDGs), findings underscore need mitigate enhance environmental sustainability, prevent desertification, promote long-term resilience regions.

Language: Английский

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Monitoring West Africa Sanctuary Encroachment and Degradation through Remote Sensing: A Focus on National Parks in Nigeria

Published: Sept. 28, 2023

Remote sensing (RS) as a landscape planning and management tool for socio-cultural diversity inclusiveness in protected(reserved) areas through monitoring of the land-use changes, settlement/living patterns, predominant trades/socio-economic activities urban-rural locations, demography Sub-Saharan Africa (SSA). The eighteen federal governments recognized nature reserves Nigeria being giant because their green landscapes, rich biodiversity, human resources. This study aimed to explore application remote assess extent land degradation encroachment 18 national parks Nigeria. A review protection using trend park invasions which could either be natural or man-made. is line with United Nations SDG Goal 15: Life on Land- &ldquo;Protect, restore promote sustainable use terrestrial ecosystems, sustainably manage forests, combat desertification, halt reverse biodiversity loss&rdquo;. Located West subregion lying Latitude: 9&deg; 04' 39.90" N (9.077899) Longitude: 8&deg; 40' 38.84" E (8.677599), an estimated population over 220,000,000 people. intensive various literature adopted mixed approach analysis assessment geospatial data, updated aerial photographs obtained Landsat imageries (Google Earth Pro, 2023), GIS Geospatial enables collection spatial geographic data gathering use/land covers (LULC) maps, soil type, elevation maps. While exploring geophysical ecology conservation some selected Nigeria, while also providing cost-effective alternatives strategy development. implementation strategies deployment technologies, it now feasible obtain large details surface planet without conducting arduous field assistance availability multi-date, multi-resolution, multi-sensor information help prevent encroachment, loss, landscapes.

Language: Английский

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