Mapping of the territory by the LS erosion factor using a geoinformation system and a digital terrain model DOI Open Access
Mikhail Sergeevich Zverkov

Ekologiya i stroitelstvo, Journal Year: 2024, Volume and Issue: 4, P. 30 - 37

Published: Dec. 25, 2024

It is noted that the problem of protecting soils from erosion becoming more and urgent every year. This due, firstly, to awareness outstanding role soil in life biosphere, secondly, it due fact cover now critical condition. Soil has become one most significant environmental problems world. Quantitative assessment parameters an important scientific practical task. The article examines example mapping territory by LS-factor using a geographic information system digital relief model. total range was 0...118. highest specific gravity (73.3%) LS = 1 (in 126691.58 hectares with average area single plot 43.61 ± 8.44 hec-tares). not only large changes shape relief, but also small ones have impact on nature erosion. feature manifested some areas there flush, others – accumulation products. explains characteristic fluctuation map.

Language: Английский

The spatiotemporal variations of global rainfall erosivity and erosive rainfall event based on half-hourly satellite rainfall data DOI Creative Commons
Qianxi Yang, Ximeng Xu, Qiuhong Tang

et al.

CATENA, Journal Year: 2025, Volume and Issue: 252, P. 108831 - 108831

Published: Feb. 20, 2025

Language: Английский

Citations

1
Soil Erosion Assessment for the Eastern Part of Daquq District (Chai River Sides) Using a Rusle Model-Based GIS DOI Open Access

Zainab Omran Abdulrahan,

Qahtan A.M. Al Nuaimy,

Mustafa Ridha Mezaal

et al.

International Journal of Computational and Experimental Science and Engineering, Journal Year: 2025, Volume and Issue: 11(1)

Published: March 13, 2025

Soil erosion therefore poses as one of the severest environmental problems it takes away with toiled and enriched layer soil hence threatening crop food production, land productivity. The conditions such high intensity rainfall or relief however may make more accentuated would require adopting techniques and/or tools for Use advanced geospatial technologies to assess Accurately map water risks in Dakuk Chai basin. Integrating factors: Incorporates dynamic variables, involving use patterns, climate change terrain atterbuites, deliver a wide-ranging understanding erosion. In this research, RUSLE model was utilized rate on sides what is known River Daquq town, Kirkuk, Iraq. 2015, highest class over study area 0.010847 km2, while low had large areas 29.31882 km2. addtion, 2024, very covered approximately 0.01454 occupied 29.4398 km2 area. Through deeper phenomenon provided, which contributes directing efforts towards protecting environment promoting sustainable development Kirkuk. Overall, results specified significant concern regarding within complex area, warranting prompt attention from relevant authorities.

Language: Английский

Citations

0
Climate change is intensifying rainfall erosivity and soil erosion in West Africa DOI Creative Commons
Oluwafemi E. Adeyeri, Akinleye Folorunsho, Tolulope E. Adeliyi

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 955, P. 177174 - 177174

Published: Nov. 2, 2024

Soil erosion is a critical environmental challenge with significant implications for agriculture, water quality, and ecosystem stability. Understanding its dynamics essential sustainable management societal welfare. Here, we analyze rainfall erosivity patterns across West Africa (WAF) during the historical (1982-2014), near future (2028-2060), far (2068-2100) periods under Shared Socioeconomic Pathways (SSPs 370 585). Using bias-corrected-downscaled (BCD) climate models validated against reference data, ensure an accurate representation of rainfall-a key driver (R-factor) soil erosion. We compare Renard's approach Modified Fournier Index (MFI) to calculate R-factor note strong correlation. However, method shows slightly lower accuracy in Sierra Leone, Guinea, The Gambia, likely due inability capture high-intensity, short-duration events. In contrast, MFI, utilizing continuous rain gauge proves more reliable these regions. also attribute fluctuations erosivity, such as those seen 2003 floods, synoptic weather influenced by multiple processes. Furthermore, our analysis reveals regions where could exceed 20 t/ha/yr change. Under SSP scenario, WAF projected rise 14.84 % 18.65 future, increasing further 585 19.86 23.49 %, respectively. most severe increases are expected Benin Nigeria, Nigeria potentially facing 66.41 585. These findings highlight region's exposure intensified climatic conditions underscore urgent need targeted adaptation strategies mitigate erosion's ecological socioeconomic impacts.

Language: Английский

Citations

3
Exploring the Added Value of Sub-Daily Bias Correction of High-Resolution Gridded Rainfall Datasets for Rainfall Erosivity Estimation DOI Creative Commons
Roland Yonaba, Lawani Adjadi Mounirou, Amadou Keïta

et al.

Hydrology, Journal Year: 2024, Volume and Issue: 11(9), P. 132 - 132

Published: Aug. 23, 2024

This study evaluates the impact of sub-daily bias correction gridded rainfall products (RPs) on estimation erosivity in Burkina Faso (West African Sahel). Selected RPs, offering half-hourly to hourly rainfall, are assessed against 10 synoptic stations over period 2001–2020 appraise their accuracy. The optimal product (the integrated multi-satellite retrievals for GPM, IMERG) is further used as a reference correction, adjust distribution remaining RPs. RPs-derived compared global database (GloREDa) estimates. findings indicate that improves accuracy all terms quantitative, categorial metrics and spatial patterns. It also improved distributions event intensities duration across products, which significantly annual estimates at various timescales along with patterns country, raw highlights effective aligning trends those derived from therefore underscores added value practice improving representation high-resolution RPs before long-term assessment, particularly data-scarce regions vulnerable land degradation.

Language: Английский

Citations

2
Soil erosion modelling of degraded semi-arid highlands in Northern Ethiopia DOI
Araya Kahsay,

Mitiku Haile,

Girmay Gebresamuel

et al.

Hydrological Sciences Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 22, 2024

Soil erosion by water is one of the major threatening factors to agricultural production and food security. USPED (Unit Stream Power Erosion Deposition) model was applied analyse spatial distribution deposition rates in northern Ethiopia. The mean generated from area totals 12.4 t ha−1 yr−1 7.3 yr−1, respectively. About 57% lies under stable severity classes, while its 14% faces moderate very severe erosions. Slight slight accounted for ca. 10% total area. Less than 0.2% experienced deposition, whereas 7.1%, 6.8% 5.3% moderate, depositions, Topography land use have substantial implications erosion/deposition rates. has good predictive performance quantify soil accordingly can help identify hotspot areas.

Language: Английский

Citations

2
Unveiling the Accuracy of New-Generation Satellite Rainfall Estimates across Bolivia’s Complex Terrain DOI Creative Commons

S. Gutierrez,

Ayele Almaw Fenta,

Taye Minichil Meshesha

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(12), P. 2211 - 2211

Published: June 18, 2024

This study evaluated the accuracy of two new generation satellite rainfall estimates (SREs): Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and Integrated Multi-satellite Retrieval for GPM (IMERG) over Bolivia’s complex terrain. These SREs were compared against from rain gauge measurements on a point-to-pixel basis period 2002–2020. The evaluation was performed across three regions distinct topographical settings: Altiplano (Highland), Valles (Midland), Llanos (Lowland). IMERG exhibited better in detection than CHIRPS, highest skills observed Highland region. However, IMERG’s higher skill countered by its false alarm ratio. CHIRPS provided more accurate estimation amounts regions, exhibiting low random errors relative biases below 10%. tended to overestimate amounts, marked overestimation up 75% Bias decomposition revealed that high bias contributed rainfall. We showcase utility long-term investigate spatio-temporal patterns meteorological drought occurrence Bolivia. findings this offer valuable insights choosing appropriate informed decision-making, particularly topography lacking reliable data.

Language: Английский

Citations

1
GloRESatE: A dataset for global rainfall erosivity derived from multi-source data DOI Creative Commons
Subhankar Das, Manoj Jain, V. Gupta

et al.

Scientific Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: Aug. 27, 2024

Abstract Numerous hydrological applications, such as soil erosion estimation, water resource management, and rain driven damage assessment, demand accurate reliable rainfall erosivity data. However, the scarcity of gauge records inherent uncertainty in satellite reanalysis-based datasets limit assessment globally. Here, we present a new global dataset (0.1° × 0.1° spatial resolution) integrating (CMORPH IMERG) reanalysis (ERA5-Land) derived estimates with observations collected from approximately 6,200 locations across globe. We used machine learning-based Gaussian Process Regression (GPR) model to assimilate multi-source alongside geoclimatic covariates prepare unified high-resolution mean annual product. It has been shown that proposed product performs well during cross-validation inter-comparison existing datasets. Furthermore, this offers perspective, addressing limitations facilitating large-scale modelling assessments.

Language: Английский

Citations

1
Monthly and annual rainfall erosivity in Poland: An empirical model including winter snowfall effect DOI Creative Commons
Paweł Marcinkowski,

Vazgen Bagdasaryan

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 56, P. 102076 - 102076

Published: Nov. 23, 2024

Language: Английский

Citations

1
Rainfall erosivity assessment over a flooding basin, Kelani River basin, Sri Lanka DOI Creative Commons

Zumry Niyas,

Charuni I. Madhushani, Miyuru B. Gunathilake

et al.

Journal of Hydroinformatics, Journal Year: 2024, Volume and Issue: 26(6), P. 1454 - 1470

Published: May 23, 2024

ABSTRACT This study evaluates the rainfall erosivity (RE) and density (ED) over Kelani River basin, Sri Lanka for a period of 31 years (1990–2020). The river basin is well known its annual floods during southwestern monsoon season severe erosion including landslides can be observed. catchment was analyzed RE using Wischmeier Smith algorithm ED Kinnel's algorithm. monthly data spreading were used to analyze monthly, seasonal, ED. Interestingly, showed linear increasing trend line years, maximum value 2,831.41 MJ mm ha−1 h−1 yr−1 able observed in year 2016. peaks May which season. reveals that risk soil high In addition, land use cover changes have adversely impacted rates. Therefore, it highly recommended investigate in-depth then implement relevant regulations conserve layers upstream basin.

Language: Английский

Citations

0
Mapping of the territory by the LS erosion factor using a geoinformation system and a digital terrain model DOI Open Access
Mikhail Sergeevich Zverkov

Ekologiya i stroitelstvo, Journal Year: 2024, Volume and Issue: 4, P. 30 - 37

Published: Dec. 25, 2024

It is noted that the problem of protecting soils from erosion becoming more and urgent every year. This due, firstly, to awareness outstanding role soil in life biosphere, secondly, it due fact cover now critical condition. Soil has become one most significant environmental problems world. Quantitative assessment parameters an important scientific practical task. The article examines example mapping territory by LS-factor using a geographic information system digital relief model. total range was 0...118. highest specific gravity (73.3%) LS = 1 (in 126691.58 hectares with average area single plot 43.61 ± 8.44 hec-tares). not only large changes shape relief, but also small ones have impact on nature erosion. feature manifested some areas there flush, others – accumulation products. explains characteristic fluctuation map.

Language: Английский

Citations

0