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001-es BibID:	BIBFORM093929
035-os BibID:	(cikkazonosító)e06764
Első szerző:	Mohammed Safwan (agrármérnök)
Cím:	Assessing the WEPP model performance for predicting daily runoff in three terrestrial ecosystems in western Syria / Safwan Mohammed, Mais Hussien, Karam Alsafadi, Ali Mokhtar, Guido Rianna, Issa Kbibo, Mona Barkat, Swapan Talukdar, Szilárd Szabó, Endre Harsanyi
Dátum:	2021
ISSN:	2405-8440
Megjegyzések:	Soil erosion is one of the main threats facing the agriculture and natural resources sector all over the world, and the same is true for Syria. Several empirical and physically based tools have been proposed to assess erosion induced soil losses and runoff driving the processes, from plot to regional spatial scales. The main goal of this research is to evaluate the performance of the Water Erosion Prediction Project (WEPP) model in predicting runoff in comparison with field experiments in the Al-Sabahia region of Western Syria in three ecosystems: agricultural lands (AG), burned forest (BF) and forest (FO). To achieve this, field experimental plots (2?1.65?0.5 m) were prepared to obtain runoff observation data between September 2012 and December 2013. In addition, the input data (atmospheric forcing, soil, slope, land management) were prepared to run the WEPP model to estimate the runoff. The results indicate that the average observed runoffs in the AG, BF and FO were 12.54 ? 1.17, 4.81 ? 0.97 and 1.72 ? 0.16 mm/event, respectively, while the simulated runoffs in the AG, BF and FO were 15.15 ? 0.89, 9.23 ? 1.48 and 2.61 ? 0.47mm/event, respectively. The statistical evaluation of the model's performance showed an unsatisfactory performance of the WEPP model for predicting the run-offs in the study area. This may be caused by the structural flaws in the model, and/or the insufficient site-specific input parameters. So, to achieve good performance and reliable results of the WEPP model, more observation data is required from different ecosystems in Syria. These findings can provide guidance to planners and environmental engineers for proposing environmental protection and water resources management plans in the Coastal Region in Syria.
Tárgyszavak:	Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk soil erosion wepp model runoff prediction ecosystem statistical analysis
Megjelenés:	Heliyon. - 7 : 4 (2021), p. 1-12. -
További szerzők:	Hussien, Mais Alsafadi, Karam Mokhtar, Ali Rianna, Guido Kbibo, Issa Barkat, Mona Talukdar, Swapan Szabó Szilárd (1974-) (geográfus) Harsányi Endre (1976-) (agrármérnök)
Pályázati támogatás:	TKP2020-IKA-04 Egyéb 2020-4.1.1-TKP2020 Egyéb
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001-es BibID:	BIBFORM089395
Első szerző:	Mohammed Safwan (agrármérnök)
Cím:	Impacts of rainstorms on soil erosion and organic matter for different cover crop systems in the western coast agricultural region of Syria / Safwan Mohammed, Ebaa Hassan, Hazem Ghassan Abdo, Szilard Szabo, Ali Mokhtar, Karam Alsafadi, Issam Al-Khouri, Jesus Rodrigo-Comino
Dátum:	2021
ISSN:	0266-0032
Tárgyszavak:	Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Soil Use And Management. - 37 : 1 (2021), p. 196-213. -
További szerzők:	Hassan, Ebaa Abdo, Hazem Ghassan Szabó Szilárd (1974-) (geográfus) Mokhtar, Ali Alsafadi, Karam Al-Khouri, Issam Rodrigo-Comino, Jesús
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001-es BibID:	BIBFORM088332
035-os BibID:	(cikkazonosító)2786 (Scopus)85092708721 (WoS)000585255400001
Első szerző:	Mohammed Safwan (agrármérnök)
Cím:	Estimating Human Impacts on Soil Erosion Considering Different Hillslope Inclinations and Land Uses in the Coastal Region of Syria / Safwan Mohammed, Hazem G. Abdo, Szilard Szabo, Quoc Bao Pham, Imre J. Holb, Nguyen Thi Thuy Linh, Duong Tran Anh, Karam Alsafadi, Ali Mokhtar, Issa Kbibo, Jihad Ibrahim, Jesus Rodrigo-Comino
Dátum:	2020
ISSN:	2073-4441
Megjegyzések:	Soils in the coastal region of Syria (CRoS) are one of the most fragile components of natural ecosystems. However, they are adversely affected by water erosion processes after extreme land cover modifications such as wildfires or intensive agricultural activities. The main goal of this research was to clarify the dynamic interaction between erosion processes and different ecosystem components (inclination, land cover/land use, and rainy storms) along with the vulnerable territory of the CRoS. Experiments were carried out in five different locations using a total of 15 erosion plots. Soil loss and runoff were quantified in each experimental plot, considering different inclinations and land uses (agricultural land (AG), burnt forest (BF), forest/control plot (F)). Observed runoff and soil loss varied greatly according to both inclination and land cover after 750 mm of rainfall (26 events). In the cultivated areas, the average soil water erosion ranged between 0.14 ? 0.07 and 0.74 ? 0.33 kg/m2; in the BF plots, mean soil erosion ranged between 0.03 ? 0.01 and 0.24 ? 0.10 kg/m2. The lowest amount of erosion was recorded in the F plots where the erosion ranged between 0.1 ? 0.001 and 0.07 ? 0.03 kg/m2. Interestingly, the General Linear Model revealed that all factors (i.e., inclination, rainfall and land use) had a significant (p < 0.001) effect on the soil loss. We concluded that human activities greatly influenced soil erosion rates, being higher in the AG lands, followed by BF and F. Therefore, the current study could be very useful to policymakers and planners for proposing immediate conservation or restoration plans in a less studied area which has been shown to be vulnerable to soil erosion processes.
Tárgyszavak:	Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk soil management land cover changes Syria soil erosion hillslopes
Megjelenés:	Water. - 12 : 10 (2020), p. 1-25. -
További szerzők:	Abdo, Hazem Ghassan Szabó Szilárd (1974-) (geográfus) Pham, Quoc Bao Holb Imre (1973-) (agrármérnök) Linh, Nguyen Thi Thuy Anh, Duong Tran Alsafadi, Karam Mokhtar, Ali Kbibo, Issa Ibrahim, Jihad Rodrigo-Comino, Jesús
Pályázati támogatás:	Tématerületi Kiválósági Program (ED_18-1-2019-0028) Egyéb
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