Extreme rainfall and landslides as a response to human-induced climate change: a case study at Baixada Santista, Brazil, 2020 DOI Creative Commons
Danilo Couto de Souza, Natália Machado Crespo, Douglas Vieira da Silva

и другие.

Research Square (Research Square), Год журнала: 2023, Номер unknown

Опубликована: Сен. 21, 2023

Abstract In March 2020, an extreme rainfall in Baixada Santista, Brazil, led to a series of landslides affecting more than 2,800 people and resulting losses exceeding USD 43 million. This attribution study compared two distinct runs from the UK Met Office Hadley Centre HadGEM3-GA6 model: one with all forcings other natural only, considering antecedent conditions soil moisture (extreme 60-day rainfall, Rx60day) heavy 3-day Rx3day) which may trigger landslides. The long-term set-up became 74% likely, while short-term was 46% likely. anthropogenic contribution changes accounted for 20-42% total damages. greatest economic occurred Guarujá (42%), followed by São Vicente (30%) Santos (28%). Landslides were responsible 47% homes damaged, 85% destroyed, reported injuries, 51% deaths associated rainfall. Changes land cover increased urbanization showed pronounced increase urbanized area (107%), (61.7%) (36.9%) reduction farming area. Population growth estimates also indicate higher exposure events. proportion irregular and/or precarious housing indicates vulnerability, being municipality highest number (34.8%) dwellings this type. Our suggest that precipitation events are having shorter return periods due climate change population is exposing these These findings especially important decision-makers context disaster risk mitigation adaptation change.

Язык: Английский

Calibrating the rainfall erosivity of high-resolution calculation and low-resolution estimation approaches in karst areas of southwest China DOI Creative Commons
Lu Zhai, Feng Teng, Yuemin Yue

и другие.

CATENA, Год журнала: 2025, Номер 257, С. 109174 - 109174

Опубликована: Май 21, 2025

Язык: Английский

Процитировано

0
Monthly to seasonal rainfall erosivity over Italy: Current assessment by empirical model and future projections by EURO-CORDEX ensemble DOI Creative Commons
Roberta Padulano, Monia Santini, Marco Mancini

и другие.

CATENA, Год журнала: 2023, Номер 223, С. 106943 - 106943

Опубликована: Янв. 20, 2023

The estimation of rainfall erosivity in the Revised Universal Soil Loss Equation (RUSLE) requires long series sub-hourly observations. Due to endemic unavailability this information, at least with required degree detail and coverage, empirical models are frequently used for basing on easily retrievable values monthly or annual scale. In paper, an model is calibrated Italy bridge scale gap by means 10-year observations 171 Italian rain gauges, then applied using ERA5-Land gridded dataset obtain maps seasonal covering reference period 1981–2010. Successively, 29 EURO-CORDEX bias-corrected projections two future horizons (2021–2050 2051–2080 under RCP 2.6, 4.5 8.5) expected anomalies over respect period. Statistical visual analysis results shows that positive percentage large portions country, especially 2.6 but significant increases also RCPs 8.5, autumn and, secondarily, summer. This intra-annual anomaly pattern entails existence increasing trends erosion hazard cannot be captured only relying rainfall. position those related literature deeply discussed, providing insights uncertainty sources possible research developments.

Язык: Английский

Процитировано

8
Temporal and Spatial Variation in Rainfall Erosivity in the Rolling Hilly Region of Northeast China DOI Creative Commons
Xiaoyu Li, Xiaowei Wang,

Jiatong Gu

и другие.

Agronomy, Год журнала: 2023, Номер 13(12), С. 2877 - 2877

Опубликована: Ноя. 23, 2023

The Rolling Hilly Region of Northeast China (RHRNEC) is a critical grain production area in China, and soil erosion major problem this region. To determine spatial temporal changes rainfall erosivity (RE) the RHRNEC generate information useful for water conservation, agricultural management, ecological protection efforts, RE index consisting nine indices based on normal extreme precipitation was established. (NREI) comprised annual (ARE), wet season (WRE), dry (DRE), typical wet-month (TWRE), dry-month (TDRE), set (EREI) maximum one-day (RE × 1 day), five consecutive days 5 storm (RE50), continuous (CRE). ARE, WRE, TWRE decreased at relative rates 2.5%, 2.9%, 4.1%, respectively. By comparison, DRE increased non-significant rate 6.3%, all to 1981–2015 mean values. future trends were predicted be opposite historical trends. exhibited patterns. gradually from north south, DRE, significantly negatively correlated with longitude, latitude, altitude (p < 0.05). showed increasing south decreasing center. findings are especially management protection.

Язык: Английский

Процитировано

4
Measurement and modelling of kinetic energy and erosivity of rainfall and throughfall in a tropical semiarid region DOI
José Bandeira Brasil, Eunice Maia de Andrade, Maria João Guerreiro

и другие.

Journal of Hydrology, Год журнала: 2024, Номер unknown, С. 132088 - 132088

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

1
Modeling soil losses by water erosion in a coffee growing area in southeastern Brazil DOI Open Access
Derielsen Brandão Santana, Guilherme da Silva Rios, Guilherme Henrique Expedito Lense

и другие.

Revista Brasileira de Geografia Física, Год журнала: 2023, Номер 16(4), С. 2031 - 2046

Опубликована: Июль 25, 2023

Water erosion is one of the main soil degradation problems, especially in tropical areas due to high rainfall rates. Several factors affect water erosion, anthropic actions related land use and occupation. In this scenario, objective work was estimate rates loss by a coffee production area south Minas Gerais State, compare them with tolerance limits evaluate sustainability agricultural system. The hypothesis that adoption conservationist practices has potential reduce losses steep relief, highly susceptible erosion. methodology employed based on application Revised Universal Soil Loss Equation calculation tolerance. results showed variation between 0.08 21.97 Mg ha-1 year-1, highest obtained bare lowest native forest. plantations, low were observed, indicating conservation adopted crop, such as level planting management plant residues cover, have loss, slope areas. Therefore, modeling an efficient tool stage define sustainable preservation vegetation cover.Keywords: RUSLE; cover; Modelagem das perdas de solo pela erosão hídrica em uma área produção café no Sudeste do BrasilR E S U M OA é um dos principais problemas degradação solos, especialmente áreas tropicais virtude índices pluviométricos elevados. Vários fatores afetam hídrica, ações antrópicas relacionadas ao uso e ocupação solo. Neste cenário, o objetivo trabalho foi estimar taxas por cafeeira sul Estado Gerais, comparar com os limites tolerância perda avaliar sustentabilidade sistema agrícola. A hipótese presente trabalho, que adoção práticas conservacionistas nas tem potencial reduzir relevo íngreme, altamente suscetíveis hídrica. metodologia empregada baseada na aplicação da Equação Perda Solo Revisada cálculo Os resultados mostraram variação entre 0,08 21,97 ano-1, maiores solos obtidas expostos menores mata nativa. Nas plantações foram observadas baixas solo, indicando adotadas nesta cultura, como plantio nível manejo resíduos vegetais cobertura têm alta declividade. Portanto, modelagem ferramenta eficiente para estágio definir agrícola sustentáveis preservação vegetal.Palavras-chave: solo;

Язык: Английский

Процитировано

2
Spatio-Temporal Dynamics of Soil and Soil Organic Carbon Losses in Coffee Cultivation in Tropical Regions DOI
Derielsen Brandão Santana, Guilherme da Silva Rios,

Guilherme Henrique Exédito Lense

и другие.

Опубликована: Янв. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Язык: Английский

Процитировано

0
Rainfall erosivity assessment over a flooding basin, Kelani River basin, Sri Lanka DOI Creative Commons

Zumry Niyas,

Charuni I. Madhushani, Miyuru B. Gunathilake

и другие.

Journal of Hydroinformatics, Год журнала: 2024, Номер 26(6), С. 1454 - 1470

Опубликована: Май 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.

Язык: Английский

Процитировано

0
Temperature and water content estimation in soils of the semi‐arid region of Brazil using finite difference and CFD DOI
Daniel Milian Pérez, Abel Gámez Rodríguez, Yaicel Gé Proenza

и другие.

European Journal of Soil Science, Год журнала: 2024, Номер 75(5)

Опубликована: Сен. 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.

Язык: Английский

Процитировано

0
Quantifying Soil Loss in the Brazilian Savanna Ecosystem: Current Rates and Anticipated Impact of Climate Changes DOI Creative Commons
Dimaghi Schwamback, Abderraman R. Amorim Brandão, Luís Eduardo Bertotto

и другие.

Land Degradation and Development, Год журнала: 2024, Номер unknown

Опубликована: Окт. 14, 2024

ABSTRACT The Brazilian Savanna (Cerrado) is the second‐largest South American biome that corresponds to almost two‐third of national agricultural production. Extensive agricultural‐driven land‐use changes have significantly altered landscape, causing increased soil erosion. Furthermore, projections climate change effects on Cerrado raise concerns about potential exacerbation loss and its consequences ecosystem sustainability. This study investigated for by assessing current rates projecting future change. Current was based experimental plots (100 m 2 ) during 7 years maintained under typical main land cover in Brazil (sugarcane, pasture, Cerrado, bare soil). Erosivity, using Universal Soil Loss Equation (USLE), estimated from observations, parameters erodibility, cover. To assess (2100), we used calibrated USLE equation with yearly erosivity derived 12 downscaled bias‐corrected SSP2‐4.5 SSP5‐8.5 scenarios CMIP6 model projections. practices induce considerable erosion, where sugarcane has 3.4 times higher as compared natural Regarding an increase 4.9% 7.6% loss, respectively, all covers. observed underscore critical importance implementing sustainable management mitigate further degradation. Climate may impose additional stress ecosystem, amplifying urgency adaptive measures safeguard this important biome.

Язык: Английский

Процитировано

0
Rainfall Erosivity over Brazil: A Large National Database DOI Creative Commons

Mariza P. Oliveira-Roza,

Roberto Avelino Cecílio, David Bruno de Sousa Teixeira

и другие.

Data, Год журнала: 2024, Номер 9(10), С. 120 - 120

Опубликована: Окт. 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.

Язык: Английский

Процитировано

0