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Wyświetlanie 1-15 z 20
Tytuł:
Potential of agroforestry systems in preserving Europe’s soil productivity in lowland and highland landscapes by limiting soil erosion by water
Autorzy:
Wawer, Rafał
Koza, Piotr
Borek, Robert
Gliga, Adrian-Eugen
Ghaley, Bhim Bahadur
Xu, Ying
Smith, Jo
Smith, Laurence
Șandor, Mignon
Pisanelli, Andrea
Augusti, Angela
Russo, Giuseppe
Lauteri, Marco
Ciolfi, Marco
Mølgaard Lehmann, Lisa
Nowocień, Eugeniusz
Badora, Damian
Powiązania:
https://bibliotekanauki.pl/articles/2148186.pdf
Data publikacji:
2021-12-30
Wydawca:
Instytut Uprawy Nawożenia i Gleboznawstwa – Państwowy Instytut Badawczy
Tematy:
innovative food and non-food systems
agroforestry
soil erosion by water
RUSLE
Opis:
Over the past half-century, an expansion of agriculture on lands is observed, followed with increased intensification through larger fields of monoculture crops and application of high level of inputs, that icreases the pressures agriculture sets upon the environment. Raising awareness of consumers and environmentalists led to the promotion of several alternative farming practices, including integrated food and non-food systems (IFNS). Here we explore the potential of different kinds of IFNS systems in delivering environmental benefits, focusing on preserving soil functions as the form of land use limiting the loos of soil by water erosion. Six successfully implemented IFNS systems located in UK, Poland, Italy, Denmark and Romania, were taken as a baseline to investigate their potential impact onto lowering soil loss by water erosion in their respective NUTS3 regions, when they would be applied widely on a regional scale. The results of analyses performed within GIS systems based upon European datasets revealed, that altogether the highest potential of limiting the area of soil erosion exceeding 0,5 Mg ha-1y-1 by an IFNS existing in a particular NUTS is observed in Romania, where 531km2 may be protected effectively with exiting silvopastoral system, while applied in a longer term on non-pastoral land cover classes it could provide effective protection for another 1362 km2. Second largest influence can be achieved in Polish NUTS region, where 125 km2 may be taken into protection directly and an another 1140 km2 may be transformed into agroforestry systems to lower the risk of soil erosion by water. In all investigated regions, a wide introduction of IFNS, that are already proven to be economically successful, would decrease soil loss considerably on existing land cover classes similar to IFNS systems covering 4927km2, while potentially on all agricultural land up to 8854km2.
Źródło:
Polish Journal of Agronomy; 2021, 47; 78-86
2081-2787
Pojawia się w:
Polish Journal of Agronomy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Water Erosion Mapping by RUSLE: A Geomatic Approach by GIS and Remote Sensing in the Oued Isser Watershed, Tlemcen, Algeria
Autorzy:
Talbi, Okacha
Fatmi, Belaïd
Benhanifia, Khatir
Talbi, Djilali
Powiązania:
https://bibliotekanauki.pl/articles/1838018.pdf
Data publikacji:
2021
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
water erosion
RUSLE
ArcGIS
remote sensing
the Oued Isser watershed
Opis:
Prolonged water erosion leads to severe soil degradation, with highly visible scars. Consequently, the quantitative and descriptive estimation by mapping of the phenomenon has become the main objective of a great deal of research. It is this perspective that this study takes, based on the Revised Universal Soil Losses Equation (RUSLE) for a relatively accurate estimate, by integrating Arc GIS tools and remote sensing using high spatial resolution (10 m) image from the Sentinel 2A satellite. The model uses data on precipitation, soil, topography and vegetation cover management. The methodological approach taken implements this model in order to optimize its use by the various potential users in their planning and decision making studies. An application was carried out in the Oued Isser watershed (Tlemcen, Algeria). Soil loss maps were produced and the results indicate a high variation in soil losses in the study area and show that the highest values are concentrated on steep slopes, hence the great influence of the topographic parameter relative to other factors in the model.
Źródło:
Geomatics and Environmental Engineering; 2021, 15, 2; 89-104
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Soil erosion prediction and risk assessment using RUSLE model and GIS techniques in the Nangka watershed
Autorzy:
Saadi, Yusron
Mardiana, Sus
Pradjoko, Eko
Powiązania:
https://bibliotekanauki.pl/articles/2174352.pdf
Data publikacji:
2022
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
conservation measures
erosion hazard level
GIS techniques
RUSLE
soil erosion
watershed
Opis:
Soil erosion in the Nangka watershed has always been a matter of concern. Over the last decade, soil erosion has led to continuous environmental problems. A thorough examination of the extent of the problem was required to identify an appropriate soil conservation strategy within the watershed. This study was conducted to observe erosion rates and map out the erosion hazard level. Erosion predictions were analysed by using the Revised Universal Soil Loss Equation (RUSLE) model with the help of ArcGIS software. RUSLE was selected because of its quantitative ability to estimate average annual soil erosion and its compatibility with the GIS interface. The potential hazard of soil erosion was classified and ranked into five class categories as set by the national authority. The results reveal that the Nangka watershed is prone to soil erosion with the annual average values ranging from 1.33 Mg·ha-1·y-1 to 2472.29 Mg·ha-1·y-1. High soil erosion rates of 9.8% are in severe (class IV) and very severe (class V) conditions, primarily in the upper course of the watershed. The low annual average of soil erosion (class I and class II), which accounted for 75.95% of the total erosion, mostly took place in the steepness below 35%. The remaining area of 14.25% within the watershed is in moderate condition (class III). It is expected that the results of this study will help the authority in the implementation of soil conservation measures.
Źródło:
Journal of Water and Land Development; 2022, 55; 185--191
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evaluation of soil water erosion risk in the Mściwojów water reservoir drainage basin on the basis of numeric modelling
Autorzy:
Pijanowski, J. M.
Radecki-Pawlik, A.
Wałęga, A.
Wojkowski, J.
Powiązania:
https://bibliotekanauki.pl/articles/100330.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie
Tematy:
soil water erosion
RUSLE
GIS
spatial modelling
Wierzbiak River
Mściwojów water reservoir
erozja wodna gleby
modelowanie przestrzenne
zagospodarowanie przestrzenne
Wierzbiak
Opis:
The paper presents the evaluation of soil water erosion risk of the Mściwojów water reservoir drainage basin. In the present study, modelling with the use of GIS (Geographical Information Systems) and RUSLE (Revised Universal Soil Loss Equation) erosion models were exploited. Values of topographic factor (LS) were calculated after formulas proposed by Moore et al. [1991] as well as Desmet and Govers [1996]. The results of erosion prognosis by means of RUSLE method after Moore's formula are by 40% higher than values evaluated after Desmet and Gover's formula. Eroded soil mean mass from area unit during the year is estimated at the level of 10.35-14.53 Mg • ha-1 • year-1, depending on computable formula used. Results of this research enabled to divide the drainage basin area into soil water erosion intensity zones based on predicted soil loss values according to Marks et al. [1989]. The study shows that water erosion risk of soil in the Mściwojów water reservoir drainage basin is very high. Almost one third of its area is located in the high and very high class of erosion risk.
Źródło:
Geomatics, Landmanagement and Landscape; 2013, 1; 83-95
2300-1496
Pojawia się w:
Geomatics, Landmanagement and Landscape
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessing the intra-annual variability of agricultural soil losses: a RUSLE application in Nord-Pas-de-Calais, France
Autorzy:
Nouaim, Wafae
Rambourg, Dimitri
Merzouki, Mohamed
El Harti, Abderrazak
Karaoui, Ismail
Powiązania:
https://bibliotekanauki.pl/articles/2073744.pdf
Data publikacji:
2022
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
agriculture
Nord-Pas-de-Calais
Revised Universal Soil Loss Equation
RUSLE
water erosion
Opis:
The control of water erosion is an important economic and societal challenge. Reduction of the agronomic potential of the parcels, muddy flows, siltation of dams are harmful consequences that mobilize farmers, water managers, local authorities and scientific researchers. This study focuses on mapping and quantifying seasonal soil losses in the territory of the former Nord-Pas-de-Calais administrative region, using the Revised Universal Soil Loss Equation (RUSLE) which incorporates five factors: rainfall erosivity, soil erodibility, topography, land use and erosion control practices. The seasonal (3-months) time scale is chosen to better account for the parameters governing the soil water erosion, especially rainfall and vegetation cover, that show great asynchronous intra-annual variability. Also, high resolution data concerning agricultural plots allows to evaluate which type of culture are the more subject to soil losses. In Nord-Pas-de-Calais, water erosion occurs almost ubiquitously, but the areas characterized by steep slopes are the most at risk (Artois Hills and Flanders), with loss rates up to 54 t∙ha-1∙y-1. The majority of erosion occurs during fall (46% of the computed annual losses of 1.69∙Mt), on plots left bare after harvest (especially corn and beets crops). The study also demonstrates that extending the intercrop technique over the region, and therefore maintaining a fall and winter cover, could reduce the soil losses by 37%.
Źródło:
Journal of Water and Land Development; 2022, 52; 210--220
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The estimation of water erosion with RUSLE and deposition model : A case study of the Bin El-Ouidane dam catchment area (High Atlas, Morocco)
Autorzy:
Nouaim, Wafae
Rambourg, Dimitri
El Harti, Abderrazak
Abderrahim, Ettaqy
Merzouki, Mohamed
Karaoui, Ismail
Powiązania:
https://bibliotekanauki.pl/articles/28411633.pdf
Data publikacji:
2023
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
remote sensing
RUSLE
unit stream power theory
water erosion
Opis:
Water erosion is a critical issue for Morocco, especially in its semi-arid regions, where climatic and edaphic conditions only allow erratic soil formation and vegetation growth. Therefore, water erosion endangers human activity both directly (loss of arable land, landslides, mudflows) and indirectly (siltation of dams, river pollution). This study is part of the Kingdom’s effort to assess the risk of water erosion in its territory. It is dedicated to the Bin El-Ouidane dam water catchment, one of the biggest water storage facilities in the country, located in the High Atlas Mountains. The poorly developed soils are very sensitive to erosion in this mountainous area that combines steep slopes and sparse vegetation cover. The calculation of soil losses is carried out with the RUSLE model and corrected by estimating areas of deposition based on the unit stream power theory. This method produces a mean erosion rate of around 6.3 t·ha-1·y-1, or an overall annual loss of 4.1 mln t, consistently with the siltation rate of the dam. Primary risk areas (erosion rates > 40 t·ha-1·y-1) account for 54% of the total losses, while they cover only 7% of the catchment. This distribution of the soil losses also shows that the erosion risk is mainly correlated to slope, directing the means of control toward mechanical interventions.
Źródło:
Journal of Water and Land Development; 2023, 58; 136--147
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Soil Loss Estimation for Conservation Planning in the Dolago Watershed Central Sulawesi, Indonesia
Autorzy:
Naharuddin, Naharuddin
Malik, Adam
Ahyauddin, Ahyauddin
Powiązania:
https://bibliotekanauki.pl/articles/1955433.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
watershed
RUSLE
soil conservation
erosion hazard classification
Opis:
Soil loss assessment in watersheds is useful in developing plans for the protection and conservation of soil and water in a sustainable manner. This study aimed to determine erosion hazard classification and erosion hazard map using Revised Universal Soil Loss Equation (RUSLE) as the basis of a soil and water conservation planning program. The RUSLE model was used to assess soil loss and guide the soil conservation efforts. Annual rainfall data, digital elevation model (DEM), land use map were used to generate the RUSLE parameters, namely rainfall-runoff erosivity factor (R), soil erodibility factor (K), slope length and steepness factor (LS), cover-management factor (C), and support practices factor (P). Erosion hazard is classified into five classes, namely very low, low, medium, high, and very high. On the basis of the results, at the Dolago watershed, very high erosion hazard was found in dryland of 577.95 t/ha/yr. Meanwhile, very low erosion hazard was found in the rice field of 2.22 t/ha/yr. The results help in planning and implementing soil and water conservation, both vegetatively and mechanically, to minimize the damage to watershed ecosystems. Validation and testing of the RUSLE model should be carried out in future studies because this is a strategic step to develop modeling of sediment yields effectively in an effort to mitigate major land damage in watersheds.
Źródło:
Journal of Ecological Engineering; 2021, 22, 7; 242-251
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ocena zagrożenia gleb erozją wodną w rejonie Zbiornika Dobczyckiego w oparciu o wyniki numerycznego modelowania
Risk assessment for soil water erosion within the Dobczyce Reservoir area based on numerical modeling results
Autorzy:
Mularz, S.
Drzewiecki, W.
Powiązania:
https://bibliotekanauki.pl/articles/131170.pdf
Data publikacji:
2007
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
erozja wodna gleb
modelowanie przestrzenne
GIS
RUSLE
soil erosion
spatial modelling
USPED
Opis:
W artykule przedstawiono rezultaty modelowania rozkładu przestrzennego nasilenia procesów erozji (i depozycji) materiału glebowego w obszarze północnej części bezpośredniej zlewni Zbiornika Dobczyckiego, otrzymane z wykorzystaniem modeli RUSLE (Revised Universal Soil Loss Equation) (Renard i in., 1991) i USPED (Unite Stream Power-based Erosion/Deposition) (Mitasova i in., 1998). Szczególną uwagę poświęcono ocenie wpływu, jaki na wynik modelowania wywiera rozdzielczość przestrzenna zastosowanego Numerycznego Modelu Rzeźby Terenu. Wykorzystano w tym celu modele wysokościowe o rozdzielczości przestrzennej 30, 10 oraz 5 metrów wygenerowane przy zastosowaniu tej samej metody z danych źródłowych w postaci modeli TIN otrzymanych w trakcie realizacji projektu LPIS żaden z dwu testowanych modeli (RUSLE, USPED) nie daje w pełni wiarygodnego obrazu zagrożenia erozyjnego. RUSLE prognozuje występowanie erozji (i to nawet o znacznym stopniu nasilenia) na obszarach, na których w rzeczywistości zachodzić może depozycja materiału glebowego. USPED daje możliwość identyfikacji obszarów depozycji, ale prognozowane przez ten model wielkości erozji obarczone są znaczną niepewnością (por. np. Mitasova i in. 1998). Rozwiązanie stanowić może łączną analiza wyników uzyskanych z wykorzystaniem obu modeli. Rozdzielczość użytego NMT w znacznym stopniu determinuje możliwość geometryzacji obszarów zagrożonych. Szczególnie wyraźna różnica widoczna jest pomiędzy wynikami uzyskanymi dla modelu o rozdzielczości 30 metrów, a dwoma pozostałymi testowanymi rozmiarami oczek siatki NMT. Za wystarczający do przeprowadzenia modelowania uznać można model o rozdzielczości 10 metrów. Rozpatrywany obszar (północna część bezpośredniej zlewni Zbiornika Dobczyckiego) jest narażony na procesy erozji wodnej gleb w niewielkim stopniu. W wyniku przeprowadzonego modelowania jedynie dla ok. 2 procent powierzchni analizowanego obszaru stopień zagrożenia określono jako wysoki.
The paper presents results of spatial modelling of soil erosion and deposition in the north part of the Dobczyce Reservoir direct watershed. The Revised Universal Soil Loss Equation (RUSLE) and Unite Stream Power-based Erosion/Deposition (USPED) model were applied. The influence of Digital Terrain Model (DTM) on modelling results was given particular attention. Three DTMs with different grid size (30, 10 and 5 meters) were generated from the same source data – TIN models from LPIS project. No reliable spatial distribution of water soil erosion was achieved with any of tested models used alone. In case of RUSLE, high soil erosion rates were predicted in areas where deposition should occur. The USPED model shows deposition areas, but predicted erosion rates are of high degree of uncertainty. For that reason, the results of both models should be taken into account.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2007, 17b; 535-548
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Using RUSLE and GIS for the soil loss assessment in arid regions: The case of the Ain Sefra catchment in the Ksour Mountains, Algeria
Autorzy:
Melalih, Ahmed
Mazour, Mohamed
Powiązania:
https://bibliotekanauki.pl/articles/1844352.pdf
Data publikacji:
2021
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
Ain Sefra watershed
Algeria
arid region
GIS
RUSLE
soil erosion
Opis:
The loss of soil quality due to erosion is a global problem, particularly affecting natural resources and agricultural production in Algeria. In this study, the Revised Universal Soil Loss Equation (RUSLE) is applied to estimate the risk of water erosion in the Ain Sefra arid watershed (Algeria). The coupling of this equation with Geographic Information Systems (GIS) allows to assess and map the soil loss rates. The land erosion is influenced by many control variables, such as the topographic factor of the terrain and the length of slope (LS factor), rainfall erosivity (R factor), sensitivity of soil to erosion (K factor), presence of vegetation (C factor) and the antierosion cultivation techniques (P factor). To calculate the average annual soil loss, these five factors were considered and multiplied in the RUSLE Equation. The result shows that the average rate of soil loss is estimated at about 5.2 t·ha–1·y–1 over the whole watershed. This study is the first of its kind in the region and aims to assess the soil loss caused by water erosion processes in this arid zone. Consequently, it is essential to take real intervention measures in these upstream areas in order to combat this scourge, based on priorities ensuring the sustainable management of natural resources in the study area.
Źródło:
Journal of Water and Land Development; 2021, 48; 205-214
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mapping of soil erodibility and assessment of soil losses using the RUSLE model in the Sebaa Chioukh Mountains (northwest of Algeria)
Mapowanie erozyjności gleb i ocena strat gleby w górach Sebaa Chioukh (północno-zachodnia Algieria) za pomocą modelu RUSLE
Autorzy:
Meghraoui, M.
Habi, M.
Morsli, B.
Regagba, M.
Seladji, A.
Powiązania:
https://bibliotekanauki.pl/articles/293128.pdf
Data publikacji:
2017
Wydawca:
Instytut Technologiczno-Przyrodniczy
Tematy:
GIS
remote sensing
RUSLE
Sebaa Chioukh Mountains
góry Sebaa Chioukh
model RUSLE
teledetekcja
Opis:
In Algeria, erosion and solid transport constitute a major constraint to the development of agriculture and to the management of hydrotechnical works (more than 20% are silted). Due to the irregular rains that characterize the Mediterranean semi-arid zones, the topography of the mountainous areas, the fragility of the soils, the absence of vegetation cover and the inappropriate cropping systems, the Sabaa Chioukh Mountains shows a dissected topography, frequent and violent floods. It is therefore absolutely important and crucial to assess, spatially and quantitatively, the effects of soil erosion in order to face the phenomenon and to propose the best strategies for conservation and land management. This study aims to map the soils erodibility, using remote sensing, and Geographic Information Systems (GIS) taking into account the soil types. In order to achieve the objective, we calculated the factors of the RUSLE equation. The results obtained showed that 26,760 ha i.e. 56.58% of our study area are exposed to an annual soil loss of 150 to 200 t∙ha–1. These areas are located in fersiallitic soils and vertisols and especially in non-cultivable areas which have high slope values.
Erozja i transport zawiesiny stanowią w Algierii główne ograniczenie rozwoju rolnictwa i zarządzania infrastrukturą hydrotechniczną (ponad 20% urządzeń jest zamulonych). Z powodu nieregularnych opadów typowych dla półpustynnych obszarów śródziemnomorskich, topografii rejonów górskich, wrażliwości gleb, braku pokrywy roślinnej i niewłaściwych systemów upraw w górach Sebaa Chioukh o zróżnicowanej topografii występują częste i gwałtowne powodzie. Dlatego bezwzględnie konieczne jest dokonanie oceny (w skali przestrzennej i ilościowej) skutków erozji glebowej w celu zmierzenia się z tym zjawiskiem i zaproponowania najlepszej strategii ochrony i gospodarki przestrzennej. Przedstawione badania miały na celu wykonanie map erozyjności gleb z użyciem teledetekcji i systemu GIS z uwzględnieniem typów gleb. Aby to osiągnąć, obliczono współczynniki w równaniu RUSLE. Uzyskane wyniki dowodzą, że 26 760 ha, tzn. 56,58% obszaru badań, doświadcza rocznych strat gleby w ilości od 150 do 200 t∙ha–1. Obszar badań położony jest na glebach krzemionkowo-żelazistych i vertisolach występujących szczególnie na terenach niewykorzystywanych rolniczo o dużym stopniu nachylenia.
Źródło:
Journal of Water and Land Development; 2017, 34; 205-213
1429-7426
2083-4535
Pojawia się w:
Journal of Water and Land Development
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
High-resolution soil erodibility K-factor estimation using machine learning generated soil dataset and soil pH levels
Autorzy:
Mammadli, Nurlan
Gojamanov, Magsad
Powiązania:
https://bibliotekanauki.pl/articles/1836655.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
erozja gleby
Kaukaz Południowy
podatność gleb na erozję
soil erodibility
RUSLE
SoilGrids
K factor
soil pH
Opis:
Soil Erodibility Factor (K-factor) is a crucial component of a widely used equation for soil erosion assessment known as the USLE (Universal Soil Loss Equation) or its revised version – RUSLE. It reflects the potential of the soil of being detached due to rainfalls or runoffs. So far, an extensive number of researches provide different approaches and techniques in the evaluation of K-factor. This study applies soil erodibility estimation in the soils of the South Caucasian region using soil data prepared by the International Soil Reference and Information Centre (ISRIC) with 250 m resolution, whereas the recent K-factor estimation implemented in the EU scale was with 500 m resolution. Soil erodibility was assessed using an equation involving soil pH levels. The study utilises Trapesoidal equation of soil data processing and preparation, as suggested by ISRIC, for various layers of surface soil data with up to 0-30 cm depth. Both usage of SoilGrids data and its processing as well as estimation of K-factor applying soil pH levels have demonstrated sufficient capacity and accuracy in soil erodibility assessment. The final output result has revealed the K-factor values varying from 0.037 and more than 0.060 t ha h/MJ mm within the study area.
Źródło:
Geodesy and Cartography; 2021, 70, 1; 44-55
2080-6736
2300-2581
Pojawia się w:
Geodesy and Cartography
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Potential erosion of the areas deforested for ski slopes - an example of mount Jaworzyna Krynicka
Autorzy:
Gołąb, J.
Urban, K.
Powiązania:
https://bibliotekanauki.pl/articles/101454.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Stowarzyszenie Infrastruktura i Ekologia Terenów Wiejskich PAN
Tematy:
potential erosion
RUSLE
deforestation
ski slope
GIS
Opis:
Erosion is a natural phenomenon which constantly changes the shape of the Earth’s surface, yet it is regarded as a very serious harmful factor by people in view of their economic and investments activities. Ski slopes are a special example of areas with a serious erosion hazard due to a permanent deforestation, considerable longitudinal slopes, engineering works, levelling ski slopes, but also because of abundant surface runoff. The aim of the research was to compare the extent of potential soil erosion in deforested areas intended for ski slopes, with various anti-erosion measures implemented, as well as to discuss the possibility of RUSLE erosion model application under these conditions. The researched objects were ski runs on the eastern slopes of Mount Jaworzyna Krynicka (The Beskid Sądecki Mts.). Potential erosion was computed in the areas of seven ski slope segments in four variants of the area cover and applied anti-erosion measures. Some computational data (the ski slope area, average slope gradients, soil granulometric composition) were obtained from the Forest Digital Map and Digital Terrain Model, whereas numerical indicators used for the model were established on the basis of the subject literature. Under presented conditions, potential erosion losses were greatly diversified. The biggest losses, expressed as erosion losses factor A, have been indicated for variant I (naked soil, without anti-erosion measures) and varied from ca. 18 to ca. 36 Mg•ha-1•year-1. Sodding ski slopes dimin ished potential erosion to 4.5% of the value obtained for the comparative variant (variant I), while shortening of the surface runoff length without sodding may reduce potential erosion losses to ca. 20÷25%. Combination of both measures may significantly reduce the erosion in these areas (to ca. 0.04%). The obtained results are analogous to other authors’ findings.
Źródło:
Infrastruktura i Ekologia Terenów Wiejskich; 2017, IV/1; 1415-1426
1732-5587
Pojawia się w:
Infrastruktura i Ekologia Terenów Wiejskich
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:
Próba kalibracji modelu RUSLE/SDR dla oceny ładunku zawiesiny wprowadzanego do Zbiornika Dobczyckiego ze zlewni bezpośredniej
Calibration of RUSLE/SDR model for estimation of suspended matter load supplied to The Dobczyce Reservoir from its immediate catchment
Autorzy:
Drzewiecki, W.
Mularz, S.
Twardy, S.
Kopacz, M.
Powiązania:
https://bibliotekanauki.pl/articles/1050696.pdf
Data publikacji:
2008
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
erozja wodna gleb
modelowanie przestrzenne
jakość wód powierzchniowych
GIS
RUSLE
SDR
soil erosion
spatial modelling
surface water quality
Opis:
Prognozowanie wielkości ładunku zawiesiny wprowadzanego do zbiornika retencyjnego wraz z zasilającymi je wodami posiada istotne znaczenie, zarówno w kontekście jakości wody zbiornika jak i jego pojemności dyspozycyjnej. Znaczącym wsparciem dla opracowania tego rodzaju prognoz może być realizowane w środowisku Systemów Informacji Geograficznej modelowanie efektów erozji wodnej gleb w obszarze zlewni zbiornika. W artykule przedstawiono rezultaty kalibracji modelu RUSLE/SDR (Revised Universal Soil Loss Equation / Sediment Delivery Ratio) uzyskane w oparciu o wyniki pomiarów przeprowadzonych w czterech ciekach zasilających Zbiornik Dobczycki: Wolnicy, Trzemeśniance, Brzezówce i Bulince. W trakcie przeprowadzonych badań podjęto próby kalibracji modelu w oparciu o wyniki pomiarów ładunków zawiesin Nie udało się uzyskać pozytywnych efektów kalibracji stosując te same parametry modelu dla wszystkich zlewni. Powodzeniem zakończyły się natomiast próby kalibracji w wariantach, w których nie uwzględniono wyników uzyskanych w zlewni Wolnicy. Spośród testowanych wariantów obliczeniowych najlepsze rezultaty dawało zastosowanie do obliczeń wskaźnika topograficznego wzorów McCool’a et al. (1987, 1989) przy użyciu do określenia sieci erozyjno-drenażowej algorytmu D8. Uzyskane rezultaty kalibracji, pomimo iż nie w pełni satysfakcjonujące, pozwalają przypuszczać, że model RUSLE/SDR będzie mógł być wykorzystany do prognozowania zmian ładunków zawiesiny docierającej do zbiornika. Hipoteza ta poddana zostanie weryfikacji w trakcie dalszych badań, w oparciu o pomiary ładunków zawiesiny przeprowadzone w latach 2007/2008.
Synoptic information on suspended matter supply to reservoirs is important because of a potential storage capacity reduction and water contamination. Such prediction is difficult to obtain from in situ measurement only. The suspended matter load can be estimated by modelling water soil erosion effect in GIS environment, using Digital Elevation Model, climate data, soil type parameters, and land-use/land-cover data obtained from remote sensing multitemporal imageries. To predict sediment yields from watersheds, a calibrated model is needed. The paper presents a study on the Dobczyce Reservoir in southern Poland. In the 1980s, detailed measurements of sediment yields in rovers of the Reservoir's immediate catchment were taken. We tried to calibrate the RUSLE/SDR (Revised Universal Soil Loss Equation / Sediment Delivery Ratio) erosion model to predict sediment loads. Different topographical factor equations and runoff routing algorithms were tested. The RUSLE/SDR model calibration was based on sediment loads measured in four streams (Wolnica, Trzemeśnianka, Brzezówka, Bulinka) during three years (1982-84). First, we tried to use one model for all four catchments modelled. The calibration attempts were based on the yearly sediment loads and on average sediment yields for 1982-1984, measured in every catchment. Both attempts failed. Successful calibration was achieved in both approaches when the Wolnica catchment was excluded. Sediment yields measured in the remaining three catchments showed little year-to-year variation. In the Wolnica catchment, the sediment yield in 1982 was thirteen times greater than that in 1984. The differences in the measured sediment yields occurred mainly in winter months. The Wolnica catchment differs from the remaining ones in its location: it is located on the south slopes (at the north side of the existing reservoir). This can bring about differences in climatic conditions. It is possible that the calculated rainfall erosivity factor used was not appropriate for that watershed. The best result was obtained with the use of D8 runoff routing algorithm and the LS-equations proposed by McCool et al. (1987, 1989). The results obtained show the potential of this simple approach in prediction of sediment supply to the Dobczyce Reservoir from its immediate catchment. An improved version of the model (with rainfall erosivity factor calculated in a diferent way or with different parameter values for different catchments) will be tested in the future along with other soil erosion models capable of prediction sediment yields. These models will be validated based on measurements taken last year.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2008, 18a; 83-98
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wpływ algorytmu określania dróg spływu powierzchniowego na wyniki oceny zagrożenia gleb erozją wodną w skali zlewni z zastosowaniem modelu RUSLE
The influence of flow routing algorithm on the results of RUSLE-based catchment-wide erosion risk assessment
Autorzy:
Drzewiecki, W.
Ziętara, S
Powiązania:
https://bibliotekanauki.pl/articles/346100.pdf
Data publikacji:
2013
Wydawca:
Polskie Towarzystwo Informacji Przestrzennej
Tematy:
erozja wodna gleb
RUSLE
spływ powierzchniowy
ocena wrażliwości
water erosion
flow routing
sensitivity assessment
Opis:
Celem pracy było określenie wpływu wyboru algorytmu generowania dróg spływu powierzchniowego na wyniki oszacowania zagrożenia gleb erozją aktualną przeprowadzonego w skali zlewni przy użyciu modelu RUSLE. Zagadnienie to zostało zbadane zarówno w odniesieniu do wielkości jak i rozkładu przestrzennego szacowanych strat gleby. Porównano wyniki uzyskane z zastosowaniem siedmiu tego rodzaju algorytmów: D8, Rho8, Kinematic Routing, DEMON, D∞, Multiply Flow Direction (MFD) oraz Triangular Multiply Flow Direction (MD∞). Uzyskane wyniki upoważniają do stwierdzenia, iż dobór algorytmu określenia dróg spływu powierzchniowego nie pozostaje bez wpływu na wyniki oceny zagrożenia erozyjnego. Oszacowanie powierzchni obszarów zagrożonych przy zastosowaniu poszczególnych algorytmów dało zbliżone rezultaty, jednak wystąpiły różnice w określeniu miejsc ich występowania. Za preferowane z punktu widzenia modelowania erozji uznano stosownie algorytmów kierujących spływ do przynajmniej dwóch położonych niżej komórek, a w szczególności algorytm DEMON.
The objective of the presented research was to evaluate the influence of flow routing algorithm on RUSLE-based soil erosion assessment on catchment scale. Both, the amount of soil loss and the pattern of erosion risk classes were compared. Seven flow routing algorithms were tested: D8, Rho8, Kinematic Routing, DEMON, D∞, Multiply Flow Direction (MFD) and Triangular Multiply Flow Direction (MD∞). Based on the results achieved, we can conclude that the choice of flow routing algorithm influences the soil erosion risk assessment. Particular approaches gave similar results when total area of endangered soils in the catchment was considered. However, the patterns of erosion differ. Multiple-direction algorithms (especially DEMON) seem to be better suited for water erosion studies.
Źródło:
Roczniki Geomatyki; 2013, 11, 1(58); 57-68
1731-5522
2449-8963
Pojawia się w:
Roczniki Geomatyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 20

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