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Wyszukujesz frazę "erosivity" wg kryterium: Temat


Wyświetlanie 1-8 z 8
Tytuł:
Evaluating annual and seasonal patterns of suspended sediment loads in a semi-arid watershed, central Algeria
Autorzy:
Rabah, Mosbah
Bouchelkia, Hamid
Belarbi, Fadila
Millares, Agustin
Powiązania:
https://bibliotekanauki.pl/articles/1841958.pdf
Data publikacji:
2021
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
erosivity
seasonality
sediment yield
semi-arid environments
suspended sediment dynamics
Opis:
Soil loss is a major problem for watersheds management in semi-arid environments. The objective of the present study is to analyze the annual and seasonal patterns of suspended loads and quantify the specific sediment yields in a semi-arid environment of the Mazafran Watershed in central Algeria. The obtained information of water discharge and suspended sediment load, recorded during 19 years, was confronted with precipitation data in order to establish the relationships between theforcing agents and erosive processes. The specific sediment yield was estimated by assessing rating curve data under two types of identified responses. The obtained results allowedconfirming the seasonality on suspended sediment transport in the studied basin, which accounts for 56% of the total suspended sediment load estimated in winter. The mean annual suspended sediment is estimated at 17.52 Mg∙ha–1·y–1. The results highlighted that the type 2 event dominates the production of sediment in the study area in comparison with type 1 event. The analysis of the variability of rainfall erosivity index showed that there is a strong correlation between the annual precipitation and modified Fournier index (MFI), and a weak correlation with the monthly precipitation concentration index (PCI). Moreover, the spatial distribution of the modified Fournier index at the basin scale showed the highest precipitation aggressiveness in the Southern part of the study region for both type of events, whereas the precipitation aggressiveness low to moderate in the remaining part of the study region.
Źródło:
Journal of Water and Land Development; 2021, 50; 158-172
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evaluation of Rainfall-Runoff Erosivity Factor for Cameron Highlands, Pahang, Malaysia
Autorzy:
Abdulkadir, T. S.
Mustafa, M. R.
Yusof, K. W.
Hashim, A. M.
Powiązania:
https://bibliotekanauki.pl/articles/123050.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
rainfall
erosivity factor
soil erosion
USLE/RUSLE
runoff
Opis:
Rainfall-runoff is the active agent of soil erosion which often resulted in land degradation and water quality deterioration. Its aggressiveness to induce erosion is usually termed as rainfall erosivity index or factor (R). R-factor is one of the factors to be parameterized in the evaluation of soil loss using the Universal Soil Loss Equation and its reversed versions (USLE/RUSLE). The computation of accurate R-factor for a particular watershed requires high temporal resolution rainfall (pluviograph) data with less than 30-minutes intensities for at least 20 yrs, which is available only in a few regions of the world. As a result, various simplified models have been proposed by researchers to evaluate R-factor using readily available daily, monthly or annual precipitation data. This study is thus aimed at estimating R-factor and to establish an approximate relationship between R-factor and rainfall for subsequent usage in the estimation of soil loss in Cameron highlands watershed. The results of the analysis showed that the least and peak (critical) R-factors occurred in the months of January and April with 660.82 and 2399.18 MJ mm ha-1 h-1year-1 respectively. Also, it was observed that erosivity power starts to increase from the month of January through April before started falling in the month of July. The monthly and annual peaks (critical periods) may be attributed to increased rainfall amount due to climate change which in turn resulted to increased aggressiveness of rains to cause erosion in the study area. The correlation coefficient of 0.985 showed that there was a strong relationship rainfall and R-factor.
Źródło:
Journal of Ecological Engineering; 2016, 17, 3; 1-8
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Geomodelling of Destruction of Soils of Ukrainian Steppe Due to Water Erosion
Autorzy:
Dudiak, Nataliia Vasylivna
Pichura, Vitalii Ivanovich
Potravka, Larisa Aleksandrovna
Stratichuk, Natalia Vladimirovna
Powiązania:
https://bibliotekanauki.pl/articles/123599.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
water erosion
RUSLE
rainfall erosivity
soil erodibility
topography factor
erosion index
crops
steppe zone
GIS technologies
geomodeling
Opis:
Spatial raster distribution models of the values of factors influencing the potential soil erosion hazard were created using GIS technologies. The erosion hazard was estimated using the modified RUSLE (Revised Universal Soil Loss Equation) model. The potential of annual soil loss of arable land was calculated. The spatial gradation of erosion violation of administrative and territorial units in the steppe zone of Ukraine was provided. About 32.7% of arable land that is subject to high erosion hazard was allocated. About 48 administrative and territorial units have a specific area less than 5% of erosion disturbed lands. They are characterized by a resistant type of agrolandscapes regarding the water-erosion processes. Most administrative and territorial units with high erosive-accumulative potential (the percentage of the area is 15% or more) are located in the western and southwestern parts of the steppe zone of Ukraine. The specific area of erosion hazardous lands reaches up to 32% in separate administrative-territorial units. The obtained results allow determining the need for a spatially discrete-distribution implementation of adaptive-landscape anti-erosion design with the elements of soil-protective agriculture.
Źródło:
Journal of Ecological Engineering; 2019, 20, 8; 192-198
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Land-use Assessment and its Influence on Spatial Distribution of Rainfall Erosivity: Case Study of Cameron Highlands Malaysia
Autorzy:
Ul Mustafa, Muhammad Raza
Sholagberu, Abdulkadir Taofeeq
Syazwan, Muhammad Asyraf
Yusof, Khamaruzaman Wan
Hashim, Ahmad Mustafa
Abdurrasheed, Abdurrasheed S.
Powiązania:
https://bibliotekanauki.pl/articles/124485.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
land-use
land cover
erosivity
Cameron Highlands
GIS
Opis:
Over the years, Cameron Highlands have witnessed extensive land-use and land-cover (LULC) changes due to the massive agricultural and urbanization activities. This significantly contributed to the erosion problems in the area. Rainfall erosivity that measures the aggressiveness of raindrop in triggering soil erosion is one of its major components that could be influenced by the LULC changes in watersheds. However, the research relating to the LULC changes with the erosivity especially in the complex landscape is scarce. Hence, this study applies geographic information system (GIS) and remote sensing techniques to assess the LULC changes and their influence on the rainfall erosivity distribution in mountainous watershed of Cameron Highlands. Four Landsat images and the rainfall data from the period of thirty years were analysed for the development of LULC and erosivity maps respectively in ArcGIS environment. The study showed that the study area experienced immense land-use changes especially in agriculture and urbanization which affected the erosivity distribution. The LULC change for agriculture increased linearly in the last 30 years from 7.9% in 1986 to almost 16.4% in 2016. The results showed that urban development increased from 5.1% in 1986 to 11.4% in 2016. The increasing urbanization trend was targeted to meet up with tourism requirement in Cameron Highlands. However, forest class declined tremendously due to the exploration of land for agriculture practice and other various types of development. Watershed managers and other stakeholders should find this study beneficial in tackling erosion and its associated ecological challenges.
Źródło:
Journal of Ecological Engineering; 2019, 20, 2; 183-190
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Określenie strat gleby na terenie RZD Puczniew w warunkach różnych prawdopodobieństw występowania deszczów erozyjnych
Estimating the loss of soil at different probabilities of erosive rainfalis - a case study of experimental farm in Puczniew
Autorzy:
Baryła, A.
Powiązania:
https://bibliotekanauki.pl/articles/339056.pdf
Data publikacji:
2012
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
erozja gleb
erozyjność deszczów
równanie strat glebowych USLE
soil erosion
USLE equation
rainfall erosivity factor
Opis:
W pracy wyliczono masę erodowanej gleby dla warunków Puczniewa (woj. łódzkie). Do obliczeń wykorzystano roczne maksymalne dobowe sumy opadów z lat 1972-2002. Wykonano test Kołmogorowa- Smirnowa, aby ocenić zgodność danej cechy z rozkładem normalnym, następnie opracowano dystrybuantę rozkładu prawdopodobieństwa. Dla prawdopodobieństwa 1, 20 i 50% wyliczono erozyjność opadów i straty gleby za pomocą opracowanego przez Wischmeiera i Smitha równania strat glebowych - USLE. Przyjęto następujące warianty: stoki o spadkach 5%, 10%; zagospodarowanie: użytki zielone i grunty orne; założono użytkowanie płużne - uprawa w poprzek stoku i wzdłuż. Straty gleby są ponad 10-krotnie mniejsze w przypadku użytków zielonych niż gruntów ornych.
The mass of eroded soil was calculated for the conditions prevailing in Puczniew (Poland). Annual maximum daily rainfall from the years 1972-2002 was used for calculations. Kołmogorow-Smirnow test was used to check the distribution of a given characteristics and then the probabilisty distribution was developed. For a probability of 1%, 20% and 50% the erosive rainfall properties and soil loss were calculated using Wischmeier and Smith's equation for soil losses - USLE. The following variants were adopted: slopes of the inclination of 5% and 10%; land use: grassland and arable land; arable land use with soil ploughing across and along the slope was assumed. Soil losses were over 10 times smaller in grasslands than in arable lands in Puczniew.
Źródło:
Woda-Środowisko-Obszary Wiejskie; 2012, 12, 4; 7-16
1642-8145
Pojawia się w:
Woda-Środowisko-Obszary Wiejskie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Spatial-Temporal Trend Analysis of Rainfall Erosivity and Erosivity Density of Tropical Area in Air Bengkulu Watershed, Indonesia.
Autorzy:
Supriyono, Supriyono
Utaya, Sugeng
Taryana, Didik
Handoyo, Budi
Powiązania:
https://bibliotekanauki.pl/articles/2054939.pdf
Data publikacji:
2021-09-01
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
erosivity
IDW
tropical
watershed
Opis:
There have been many studies on rainfall erosivity and erosivity density (ED). However, it was not widely developed in Indonesia as a tropical country and has unique precipitation patterns. They are indicators for assessing the potential risk of soil erosion. The Air Bengkulu Watershed is undergoing severe land degradation due to soil erosion. This study aimed to analyze spatial-temporal in rainfall erosivity and ED based on monthly rainfall data (mm). The data used consisted of 19 weather stations during the period 2006–2020 and which are sparsely distributed over the watershed. The analysis was done by using Arnold’s equation. Then, the trend was tested using parametric and non-parametric statistics, and analysed with linear regression equation, and Spearman’s Rho and Mann Kendall’s tests. The spatial distribution of both algorithms was analysed using the inverse distance weighted (IDW) method based on the geographic information system (GIS). Unlike previous research findings, The long-term average monthly rainfall erosivity and ED revealed a general increase and decreasing trend, whereas it was found to be non-signifi- cant when both indices were observed. However, these results indicate a range from 840.94 MJ · mm−1 · ha−1 · h−1 · a−1,552.42 MJ · mm−1 · ha−1 · h−1 · a−1 to 472.09 MJ · mm−1 · ha−1 · h−1 · a−1  in that November month followed by December and April are the most susceptible months for soil erosion. Therefore, The upstream area of the region shows that various anthropogenic activities must be managed properly by taking into account the rainfall erosivity on the environment and that more stringent measures should be followed in soil and water conservation activities.
Źródło:
Quaestiones Geographicae; 2021, 40, 3; 125-142
0137-477X
2081-6383
Pojawia się w:
Quaestiones Geographicae
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use of archived precipitation data in the assessment of soil erosion risk in the Świętokrzyskie Province of central-southern Poland
Autorzy:
Jarzyna, K.
Krupa, J.
Zieliński, A.
Powiązania:
https://bibliotekanauki.pl/articles/184555.pdf
Data publikacji:
2017
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
rainfall erosivity index [EI30]
archived precipitation data
Świętokrzyskie Province
Opis:
The usefulness of archived IMGW–PIB published reports was discussed as a source of information on high total and intensity precipitation that generates the risk of soil erosion. The study area consist of the Świętokrzyskie Province of central-southern Poland. The data were obtained mainly from yearbooks: The Atmospheric Precipitation Yearbooks and Results of pluviographic studies and precipitation of high intensity for the period 1959–1981. The analysis is limited to the occurrence of rainfall events that produced at least 30 mm of rainwater and were classified as A 3 or higher on the Chomicz scale of rainstorms and downpours. A total of 247 rainstorms and downpours were recorded at 74 weather stations in the Świętokrzyskie Province. The utilized data sets allowed he estimation of erosivity index values using a simplified Wischmeier and Smith equation. Their erosivity index reached up to 6,387.8 MJ∙mm∙ha −1 ∙h −1 with a median value of 455.8 MJ∙mm∙ha −1 ∙h −1. This maximum value of EI was recorded at the Słupia weather station in the southwestern part of the study area. However, high erosivity rainfalls most often occurred in the lower section of the Nida Valley (in the Wiślica weather station). Precipitation characterized by the greatest erosivity occurred in June and July.
Źródło:
Geology, Geophysics and Environment; 2017, 43, 3; 201-211
2299-8004
2353-0790
Pojawia się w:
Geology, Geophysics and Environment
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wskaźnik średniej rocznej erozyjności deszczu i spływu powierzchniowego (R) na przykładzie stacji meteorologicznej w Łazach k. Bochni (region klimatu Pogórza Karpackiego)
Mean annual R factor for Łazy near Bochnia meteorological station (Carpathian Foothills climatic region)
Autorzy:
Święchowicz, J.
Powiązania:
https://bibliotekanauki.pl/articles/294797.pdf
Data publikacji:
2013
Wydawca:
Stowarzyszenie Geomorfologów Polskich
Tematy:
wskaźnik erozyjności deszczu [EI30]
wskaźnik R
USLE
region klimatu Pogórza Karpackiego
Polska
rainfall erosivity index [EI30]
R factor
Carpathian Foothills climatic region
Polska
Opis:
Wskaźnik rocznej erozyjności deszczu i spływu powierzchniowego (R) jest jednym z parametrów empirycznego równania USLE (Uniwersalnego Równania Strat Glebowych) oraz innych modeli (np. RUSLE – Revised Universal Soil Loss Equation, USPED – Unit Stream Power based Erosion/Deposition). Jak dotąd nie dokonano szczegółowej charakterystyki erozyjności deszczów w Polsce, a wartości wskaźnika R zgodnie z procedurą opracowaną przez Wischmeiera i Smitha (1965, 1978) obliczono jedynie dla 13 stacji meteorologicznych. Celem pracy jest określenie wskaźnika erozyjności deszczu i spływu powierzchniowego (R) dla regionu klimatu Pogórza Karpackiego na podstawie pomiarów opadów atmosferycznych w wieloleciu 1987–2008 pochodzących ze stacji meteorologicznej w Łazach k. Bochni (Pogórze Wiśnickie). Średnia roczna z wielolecia 1987–2008 wartość wskaźnika R wynosi w Łazach 106,6 MJ cm ha–1 h–1. Jest ona większa od wartości podawanych dla Polski zachodniej (Wrocław-Swojec), północnej (Elbląg), północno-wschodniej (Suwałki), centralnej (Otwock, Sandomierz, Puczniew), zbliżona do wartości podawanych dla Karpat (Lesko, Limanowa, Szymbark). Roczne wartości wskaźnika R zmieniały się w Łazach w bardzo szerokim zakresie od 27,7 do 455,9 MJ cm ha–1 h–1. Maksymalne miesięczne wartości wskaźnika Rr w roku zmieniały się od 6,1 w lipcu (1993) do 428,7 MJ cm ha–1 h–1 w czerwcu (2006). Największa potencjalna erozja wodna gleby uzależniona od erozyjności deszczu możliwa była w czerwcu, lipcu, maju i sierpniu.
Rainfall and runoff erosivity factor (R) is a key input parameter to the USLE (Universal Soil Loss Equation) and many other models (RUSLE – Revised Universal Soil Loss Equation, USPED – Unit Stream Power based Erosion/Deposition). There is still no precise characteristic of rainfall erosivity in Poland. Local R factor values, according to Wischmeier and Smith procedure (1965, 1978) were calculated only for 13 meteorological stations. The main aim of the paper is to estimate rainfall and runoff erosivity factor (R) for the Carpathian Foothills climatic region on the basis of 1987–2008 rainfall data for Łazy near Bochnia meteorological station (Wiśnicz Foothills). The average rainfall and runoff factor (R) for Łazy calculated for the years 1987–2008 equalled 106.6 MJ cm ha–1 h–1. This value was bigger in comparison with the values for other locations in western (Wrocław-Swojec), northern (Elbląg) northeastern (Suwałki) or central Poland (Otwock, Sandomierz, Puczniew) and similar to the values for the Carpathians (Lesko, Limanowa, Szymbark). The annual values of R factor for Łazy ranged between 27.7 in 1993 and 455.9 MJ cm ha–1 h–1 in 2006. Maximum monthly values of rainfall factor Rr in a year varied from 6.1 in July (1993) to 428.7 MJ cm ha–1 h–1 in June (2006). The most intensive potential soil erosion by water due to erosivity of rains is likely to happen in June, July, May and August.
Źródło:
Landform Analysis; 2013, 24; 85-95
1429-799X
Pojawia się w:
Landform Analysis
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-8 z 8

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