Improving water infiltration in croplands mitigates the effects of extreme rainfall events

Environmental Earth Sciences, Journal Year: 2025, Volume and Issue: 84(5)

Published: Feb. 18, 2025

Language: Английский

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Evaluation of multiple time scale rainfall erosivity models: A case study of subtropical regions in Central China

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

Published: March 3, 2025

Abstract Rainfall erosivity is an essential factor affecting soil erosion, which expected to change under global climate change. Despite the existence of numerous rainfall models, there remains a scarcity research focusing on accuracy multi‐time scale models. In this study, subtropical regions central China (Hubei Province) were selected, where simulation performance six widely employed models was investigated using daily precipitation data from 70 meteorological stations spanning 2000 2020. Using optimal model, Kriging interpolation and Mann–Kendall test revealed significant temporal spatial variations in density. The results show that: (1) model more suitable for simulating Hubei Province. (2) mean annual Province 5894.25 MJ·mm·ha −1 ·h ·a , with large across regions. (3) density showed differences between different seasons, erosion most likely occur summer (June, July August). (4) distribution pattern highly consistent: long‐term high levels Xianning City, southeastern Province, risk high. findings study offer valuable insights into selection mountainous hilly areas provide reference assessing formulating control measures.

Language: Английский

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Band applied K increases agronomic and economic efficiency of K fertilization in a crop rotation under no-till in southern Brazil

European Journal of Agronomy, Journal Year: 2025, Volume and Issue: 168, P. 127595 - 127595

Published: March 12, 2025

Language: Английский

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Spatial and Temporal Variability of Rainfall Erosivity in the Niyang River Basin

Atmosphere, Journal Year: 2024, Volume and Issue: 15(9), P. 1032 - 1032

Published: Aug. 26, 2024

Rainfall erosivity is a crucial factor in the evaluation of soil erosion, significantly influencing complex relationships among water, soil, and environment. Understanding its attributes variations space time essential for effective water resource management, erosion mitigation, land-use planning. This paper utilizes daily precipitation data from 123 grid points Niyang River Basin, spanning 2008 to 2016, calculate rainfall using straightforward algorithmic model. Ordinary Kriging was used examine spatial temporal erosivity, while Spearman’s correlation analysis employed between annual various factors, including multi-year average precipitation, erosive rainfall, dry-season wet-season temperature, elevation. The results indicate year-by-year increase basin, with trend towards stabilization. over years 711 MJ·mm·hm−2·h−1, peaking at 1098 MJ·mm·hm−2·h−1 2014. A significant 93.9% concentrated wet season, maximum 191 July. left bank mainstream, especially central lower sections main river tributaries, experiences highest erosivity. factors predominantly influence showing strongest (rho = 0.93), temperature elevation have relatively minor effects. study enhances understanding forces plateau region provides scientific basis predicting loss, developing control measures, ensuring sustainable land use.

Language: Английский

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Rainfall erosivity assessment over a flooding basin, Kelani River basin, Sri Lanka

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

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Temporal and Spatial Variations in Rainfall Erosivity on Hainan Island and the Influence of the El Niño/Southern Oscillation

Land, Journal Year: 2024, Volume and Issue: 13(8), P. 1210 - 1210

Published: Aug. 5, 2024

Rainfall erosivity (RE), a pivotal external force driving soil erosion, is impacted by El Niño/Southern Oscillation (ENSO). Studying the spatiotemporal variations in RE and their response to ENSO essential for regional ecological security. In this study, daily model was identified as calculation through an evaluation of suitability. Daily precipitation data from 1971 2020 38 meteorological stations on Hainan Island, China, were utilized calculate RE. The multivariate index (MEI), Southern Index (SOI), Oceanic Niño (ONI) used characterization indices, effects investigated via cross-wavelet analysis binary wavelet coherence analysis. During whole study period, average Island 15,671.28 MJ·mm·ha−1·h−1, with fluctuating overall upward trend. There spatial temporal distribution differences RE, concentrations summer (June–August) pattern decreasing east west. events, greater during period than La Niña period. For MEI, SOI, ONI showed significant correlations resonance but there time occurrence, direction action, intensity. addition, MEI MEI–ONI affected individually or jointly at different scales. This contributes deeper understanding influence can provide important insights prediction erosion development related coping strategies.

Language: Английский

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Temperature and water content estimation in soils of the semi‐arid region of Brazil using finite difference and CFD

European Journal of Soil Science, Journal Year: 2024, Volume and Issue: 75(5)

Published: Sept. 1, 2024

Abstract Determining the temperature and water content of soil, at a given instant or along time, is fundamental to understand several soil‐related phenomena processes. Evaporation, aeration, chemical‐reaction rates types, biological processes such as germination growth seeds, root development, nutrient uptake by roots, decomposition organic matter microbes, are all strongly influenced soil temperature. On other hand, infiltration through surface allows temporarily store water, making it available for plants organisms living in soil. Furthermore, closely related physical chemical properties oxygen demand, which impacts breathing, microbial activity balance. The accurate evaluation these two parameters their interconnection even relevant semi‐arid regions, where climate conditions particularly difficult, north‐eastern zone Brazil. Thus, use computational models coupled approaches imperative rigorous descriptions. This work presents contribution estimate content, solving heat transfer equation Richards equation, respectively, finite differences. As input, model uses experimental material composition time‐dependent profile information about regional rain regime. Three different numerical were implemented: explicit, simple implicit Crank–Nicolson method. calculations obtained with compared results from Computational Fluid Dynamics (CFD). relative differences between methods less than 0.006% 2.75% using equation. maximum within model, including both constant variable water‐content profile, 3.28%. CFX tool have 0.6%, contributes verifying accuracy implemented methods.

Language: Английский

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Rainfall Erosivity over Brazil: A Large National Database

Data, Journal Year: 2024, Volume and Issue: 9(10), P. 120 - 120

Published: Oct. 14, 2024

Rainfall erosivity (RE) represents the potential of rainfall to cause soil erosion, and understanding its impact is essential for adoption water conservation practices. Although several studies have estimated RE Brazil, currently, no single reliable easily accessible database exists country. To fill this gap, work aimed review research generate a Brazil. Data were gathered from that determined observed records synthetic series. Monthly annual values organized on spreadsheet in shapefile format. In total, 54 1990 2023 analyzed, resulting compilation 5516 which 6.3% pluviographic, 93.7% synthetic. The regions with highest availability information Northeast (35.6%), Southeast (30.1%), South (19.9%), Central-West (7.7%), North (6.7%). database, can be accessed Mendeley platform, aid professionals researchers adopting public policies carrying out at environmental management basin development.

Language: Английский

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<strong></strong>Analysis of Soil Erosion Factor Changes and Soil and Water Conservation Benefits in The Yellow River Basin

Published: July 4, 2023

Soil erosion due to soil is an important ecological impact factor. In order further explore the and contribution of water conservation measures on sand production transport in watershed, also provide a reference for control, environmental protection Yellow River Basin. this paper, based measured data from Henan Water Conservation Observatory Basin, we select appropriate equations quantifying factor calculate rainfall erosion, topography, soil, vegetation basin, then analyse changes actual benefits basin. The results show that there increasing trend force R Basin; can be K value made vertical loess &gt; yellow clunamon overall change shows decreasing trend, indicating control has produced attention should paid lithosol region future; Since slope lengths runoff plots are laid out consistently with same LS values both topographic factors, severely increased when exceeds 20&deg;. C natural small, while bare land large. authorities continue promote return farmland forests grasses pay self-regulation restoration ecosystems; There P factor, have been effective providing good protection.

Language: Английский

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