Sediment yield assessment by EPM and PSIAC models using GIS data in semi-arid region

Bagherzadeh, Ali; Daneshvar, Mohammad Reza Mansouri

doi:10.1007/s11707-011-0168-z

Cited by 25 publications

(22 citation statements)

References 18 publications

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“…The calculation of soil loss was performed using the Erosion Potential Method (EPMGavrilović 1972), which was developed in Serbia and is still in use, mainly in the countries of the former Yugoslavia and the Western Balkans (Zorn & Komac 2008, Tošić et al 2012, Ristić et al 2013), but also in Iran (Tangestani 2006, Bagherzadeh et al 2011. In this study, the level of erosion was assessed based on annual soil loss (Wyear) immediately before afforestation (Wyear0), 10 years after afforestation (Wyear10) and 60 years after afforestation (Wyear60).…”

Section: Soil Lossmentioning

confidence: 99%

Effects of black locust and black pine on extremely degraded sites 60 years after afforestation - a case study of the Grdelica Gorge (southeastern Serbia)

Lukić¹,

Pantić²,

Simić³

et al. 2016

iForest

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The selection of tree species can affect the success of afforestation in the rehabilitation of degraded forest sites and forest restoration. In general, black locust (Robinia pseudoacacia L.) and black pine (Pinus nigra Arnold.) represent the most commonly used species in the afforestation of soils that have been degraded by erosion. As far as the extent of the ameliorative effects of black locust and black pine are concerned, it was found that they may play an important role in the selection of species for the afforestation of extremely degraded sites. This study is aimed at determining the potential of black locust and black pine to affect several soil properties, erosion control and C stock, thus creating favourable site conditions for the restoration of previous forest vegetation. This research was conducted in the Grdelica Gorge in south east Serbia, where eight sample plots with an average size of 0.47 ha were established 60 years ago on terrain afforested with black locust and black pine. In each sample plot, we measured the diameter at breast height of all black locust and black pine trees, and the height of 10 black locust and 10 black pine trees in each diameter class. In addition, samples of mineral soil (from depths of 0-5, 5-10 and 10-20 cm) were taken at 4 randomly selected soil profiles in each sample plot, and 8 samples of litter (30 × 30 cm) were also collected. Additionally, laboratory analyses of the physical and chemical properties of the soil and litter were performed in 2 replicates. The obtained results showed that: (1) at the 0-5 cm depth, there was no statistically significant difference in the reaction of the soil solution, although a significant difference in the reaction of the soil solution between the soils under the two species was observed at soil depths greater than 5 cm; (2) there was a significantly higher N content under black locust in the 0-5 cm soil layer; (3) the reduction of soil loss under black locust is statistically significant in all observation periods; (4) black pine is more efficient in C storage. Our results demonstrate that black locust has the potential to improve soil properties and reduce soil loss caused by erosion, while its favourable impact does not decrease over time, making it more suitable for afforestation on degraded land in the examined area.

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Section: Soil Lossmentioning

confidence: 99%

Effects of black locust and black pine on extremely degraded sites 60 years after afforestation - a case study of the Grdelica Gorge (southeastern Serbia)

Lukić¹,

Pantić²,

Simić³

et al. 2016

iForest

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“…A visual field overview with GPS confirmed a good estimation for areas of moderate and heavy erosion with the Gavrilović method, and a poorer accuracy for areas with slight erosion potential. Another comparison with the PSIAC method [16,17] showed the same pattern for the predicted sediment yield by both methods, with a correlation coefficient of 0.95, which confirmed applicability of both methods for semi-arid and arid catchments. Ghobadi et al [42] compared the Gavrilović method with PSIAC and MPSIAC and concluded that the Gavrilović method is not suitable for weather conditions in Iran, and that it provides much less accurate annual sediment production assessments compared to the MPSIAC method.…”

Section: Comparison Of Gavrilović Methods With Other Erosion Assessmenmentioning

confidence: 61%

“…These technologies provide an improvement by enabling defragmentation of catchments to arbitrary cell sizes. For example, Bagherzadeh et al [16,17] subdivided a catchment into eight homogeneous terrain units based on a visual interpretation of satellite images and field observations. Additionally, Globevnik et al [14] and Milevski et al [22] analysed applicability of the Gavrilović method in combination with a GIS technique.…”

Section: Gavrilović Method Gis and Remote-sensing Datamentioning

confidence: 99%

“…Haghizadeh et al [21] and Tangestani [30] used a comparison of model output results with field observations and a GLASGOD (Global Assessment of Soil Degradation) map as a verification method. Bagherzadeh et al [16,17] verified model outputs by a field survey using GPS and a visual comparison of areas characterised as areas with moderate and heavy annual sediment yields. Amini et al [10] applied the Gavrilović method to the Ekbatan Dam drainage basin in Iran and concluded that sediment yield can be overestimated by this method because it lacks the grain size distribution structure, humus concentration, slope morphology, and runoff parameters that affect erosion processes, all of which are usually included in physical models, which is not the case for empirical models such as Gavrilović.…”

Section: Field Measurement and Gavrilović Methods Verificationmentioning

confidence: 99%

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Pregled primjene Gavrilovićeve metode (metoda potencijala erozije)

Dragičević¹,

Karleuša²,

Ožanić³

2016

JCE

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A detailed review of application of the Gavrilović method (Erosion Potential Method) and its modifications, with a focus on the potential surface erosion, is presented in the paper, together with the guidelines and recommendations for future analysis and research as needed for physical planning and urban development. The Gavrilović method results are based on the source of information, expert experience, accuracy, and level of detail of the model input and output data. For further analysis, the authors propose investigation of additional sources of erosion materials, such as construction plots in expanding urban areas. Pregled primjene Gavrilovićeve metode (metoda potencijala erozije) U ovome radu dan je detaljan pregled primjene Gavrilovićeve metode i njezinih modifikacija, s fokusom na potencijalnu površinsku eroziju, kao i smjernice te preporuke za buduće analize i istraživanja neophodna za prostorno planiranje i urbani razvoj. Rezultati Gavrilovićeve metode uvjetovani su izvorom informacija, iskustvom stručnjaka, točnošću i razinom detalja ulaza i izlaza iz modela. Za buduće analize autori predlažu da se u obzir uzmu dodatni izvori erozijskog nanosa poput gradilišta u područjima urbanog razvoja.

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“…These methods have been used successfully in many watersheds (Bagherzadeh & Daneshvar, 2011;Daneshvar & Bagherzadeh, 2012;Kothyari et al, 2002;Naqvi, Athick, Ganaie, & Siddiqui, 2015;Solaimani, Modallaldoust, & Lotfi, 2009). In times of flood, large volumes of sediment were carried by water.…”

Section: Introductionmentioning

confidence: 99%

Assessment of sediment yield using RS and GIS at two sub-basins of Dez Watershed, Iran

Noori

Siadatmousavi

Mojaradi

2016

International Soil and Water Conservation Research

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a b s t r a c tSoil erosion is a serious threat to soil and water resources in semi-arid regions. Modified Pacific Southwest Inter Agency Committee (MPSIAC) and Erosion Potential Method (EPM), as two well-known models, have shown their performance in many case studies. The goal of present study is to assess the efficiency of these methods for estimating the sediments yield and erosion intensity within short-term and longterm timeframes over two sub-basins of Dez watershed, west of Iran. The results showed that the study area can be categorized into slight, moderate, high and very high erosion zones. Almost half of the study area is highly susceptible to erosion due to the geological formations and land cover. Moreover, the longterm (i.e. 30 years) sediment yield of 387 and 615 (kton) y À 1 estimated by MPSIAC and EPM models demonstrated the superiority of EPM. Compared to the measured value of 612 (kton) y À 1 , the performance of EPM was astonishing. By splitting the dataset into six periods of five years, the sediment yield was predicted in short-term periods by both aforementioned methods. Such segmentation provides the opportunity to evaluate the impact of extreme flooding events on the models performances. The results showed that both models failed in estimation of sediment load during flood conditions. Nevertheless, the correlation coefficients for estimating the sediment yield were found to be R ¼0.93 and R ¼0.85 for EPM and MPSIAC models respectively, for short-term simulations.

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Sediment yield assessment by EPM and PSIAC models using GIS data in semi-arid region

Cited by 25 publications

References 18 publications

Effects of black locust and black pine on extremely degraded sites 60 years after afforestation - a case study of the Grdelica Gorge (southeastern Serbia)

Effects of black locust and black pine on extremely degraded sites 60 years after afforestation - a case study of the Grdelica Gorge (southeastern Serbia)

Pregled primjene Gavrilovićeve metode (metoda potencijala erozije)

Assessment of sediment yield using RS and GIS at two sub-basins of Dez Watershed, Iran

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