تعداد نشریات | 31 |
تعداد شمارهها | 743 |
تعداد مقالات | 7,072 |
تعداد مشاهده مقاله | 10,134,759 |
تعداد دریافت فایل اصل مقاله | 6,852,148 |
Application of M5 algorithm of decision tree in simulation and investigation of effective factors of erosion in rangelands and forests | ||
Caspian Journal of Environmental Sciences | ||
دوره 21، شماره 3، مهر 2023، صفحه 533-541 اصل مقاله (1.15 M) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22124/cjes.2023.6929 | ||
نویسندگان | ||
Hatem Ghaleb Maabreh* 1؛ Khlood Waheeb2؛ Abrar Ryadh3؛ Saja Basheer Abdulghani4؛ Zainab Jamal Hamoodah5؛ Nisreen Yasir Jasim6؛ Fakhri Alajeeli7؛ Ali H. O. Al Mansor8؛ Mikhail Andreevich9 | ||
1People’s Friendship University of Russia, Moscow, Russia | ||
2Medical Technical College, Al-Farahidi University, Iraq | ||
3Medical Laboratory Techniques Department, Al-Mustaqbal University College, 51001 Hillah, Babylon, Iraq | ||
4Department of Computer Technology Engineering, Al-Hadba University College, Iraq | ||
5Medical Laboratory Techniques Department, Mazaya University College, Iraq | ||
6National University of Science and Technology, Dhi Qar, Iraq | ||
7Al-Hadi University College, Baghdad,10011, Iraq | ||
8Department of Optical Techniques, Al-Zahrawi University College, Karbala, Iraq | ||
9Moscow Aviation Institute, Moscow, Russia | ||
چکیده | ||
Interrill erosion is the process of soil erosion that occurs on small, un-vegetated areas between ridges or furrows caused by raindrops falling on sloped land. The impact of raindrops can cause the soil to detach and be carried away by runoff. Interrill erosion can be a significant contributor to overall soil erosion and is considered a problem in agricultural areas, construction sites, and other areas with disturbed soil. The aim of this paper was to identify the factors affecting interrill erosion using the M5 algorithm of decision tree in four different regions. The M5 algorithm is considered to be a robust and powerful method for time series forecasting and has been widely used in a variety of applications. To study interrill erosion, 200 soil samples were collected from two rangelands and two forests in Ramadi, Iraq. The soil samples underwent analysis to determine various chemical and physical properties, and the amount of interrill erosion was calculated using the Kamphorst rainfall simulator. The results showed that in the studied areas, the properties of clay, silt, sand, geometric standard deviation and geometric mean particle diameter had the greatest role in interrill erosion. The highest amount of interrill erosion occurred in the disturbed rangeland with a value of 7 tons/hectare and the lowest amount in the protected forest with a value of 3 tons/hectare. | ||
کلیدواژهها | ||
Forest؛ Rangelands؛ Soil erosion؛ Decision tree؛ M5 model tree | ||
مراجع | ||
Alewell, C, Borrelli, P, Meusburger, K & Panagos, P 2019, Using the USLE: Chances, challenges and limitations of soil erosion modelling. International Soil and Water Conservation Research, 7: 203-225.
Ayubi Rad, M & Ayubirad, MS 2017, Comparison of artificial neural network and coupled simulated annealing based least square support vector regression models for prediction of compressive strength of high-performance concrete. Scientia Iranica, 24: 487-496.
Batista, PVG, Davies, J, Silva, MLN & Quinton, JN 2019, On the evaluation of soil erosion models: Are we doing enough? Earth-Science Reviews, 197:102898.
Belayneh, M, Yirgu, T & Tsegaye, D 2019, Potential soil erosion estimation and area prioritization for better conservation planning in Gumara watershed using RUSLE and GIS techniques. Environmental Systems Research, 8: 20.
Berberoglu, S, Cilek, A, Kirkby, M & Irvine, B & Donmez, C 2020, Spatial and temporal evaluation of soil erosion in Turkey under climate change scenarios using the Pan-European Soil Erosion Risk Assessment (PESERA) model. Environmental Monitoring and Assessment, 192: 491.
Burzyńska, I 2019, Monitoring of selected fertilizer nutrients in surface waters and soils of agricultural land in the river valley in Central Poland. Journal of Water and Land Development, 43: 41-48.
Chalise, D, Kumar, L & Kristiansen, P 2019, Land degradation by soil erosion in Nepal: A review. Soil Systems, 3: 12.
Dalir, P, Naghdi, R, Gholami, V 2021, Assessing the rice straw effects on the soil erosion rate in forest road cut
slope embankments. Caspian Journal of Environmental Sciences, 19: 325-339
Du X, Jian, J, Du, C & Stewart RD 2022, Conservation management decreases surface runoff and soil erosion. 10: 188-196.
Gholami, SH, Vafakhah, M, Ghaderi, K, Javadi, MR 2020, Simulation of rainfall-runoff process using
Geomorphology-based adaptive neuro-fuzzy inference system. Caspian Journal of Environmental Sciences,
18: 109-122
Guimarães, DV, Naves Silva, ML, Curi, N, Martins, RP & Melo Neto JDO 2019, Modeling of soil losses on a yellow argisol under planted forest. Floresta e Ambiente, 26: e20160292.
Khosravi, M, Afshar, A & Molajou, A, 2022, Decision tree-based conditional operation rules for optimal conjunctive use of surface and groundwater. Water Resources Management, 36: 2013-2025.
Kidane M, Bezie, A, Kesete, N & Tolessa, T 2019, The impact of land use and land cover (LULC) dynamics on soil erosion and sediment yield in Ethiopia. Heliyon, 5: e02981.
Klik, A & Rosner, J 2020, Long-term experience with conservation tillage practices in Austria: Impacts on soil erosion processes. Soil and Tillage Research, 203: 104669.
Kumar, N & Kumar Singh, S 2021, Soil erosion assessment using earth observation data in a trans-boundary river basin. Natural Hazards, 107: 1-34.
Lal, R 2019, Accelerated Soil erosion as a source of atmospheric CO2. Soil and Tillage Research, 188: 35-40.
Liu M, Han, G & Li, X 2021, Using stable nitrogen isotope to indicate soil nitrogen dynamics under agricultural soil erosion in the Mun River basin, Northeast Thailand. Ecological Indicators, 128: 107814.
Nasir Ahmad, NSB, Mustafa, FB, Muhammad Yusoff, SY & Didams, G 2020, A systematic review of soil erosion control practices on the agricultural land in Asia. International Soil and Water Conservation Research, 8: 103-115.
Nourani, V & Molajou, A 2017, Application of a hybrid association rules/decision tree model for drought monitoring. Global and Planetary Change, 159, 37-45.
Nourani, V, Davanlou Tajbakhsh, A, Molajou, A & Gokcekus, H 2017, Hybrid wavelet-M5 model tree for rainfall-runoff modeling. Journal of Hydrologic Engineering, 24: 04019012.
Novara, A, Stallone, G, Cerdà, A & Gristina, L 2019, The effect of shallow tillage on soil erosion in a semi-arid vineyard. Agronomy, 9: 257.
Panagos, P & Katsoyiannis, A 2019, Soil erosion modelling: The new challenges as the result of policy developments in Europe. Environmental Research, 172: 470-474.
Pereira da Silva, AJ & Lima Rios, M 2020, Terracing recovers the quality of a riverbank soil degraded by water erosion in Brazilian Semiarid. Floresta e Ambiente, 27: e20190094.
Pijl, A, Reuter, LEH, Quarella, E, Vogel, TA & Tarolli, P 2020, GIS-based soil erosion modelling under various steep-slope vineyard practices. ScienceDirect.com by Elsevier, 193: 104604.
Rezaei, K & Vadiati, MA 2020, comparative study of artificial intelligence models for predicting monthly river suspended sediment load. Journal of Water and Land Development, 45: 107-118.
Ricci, GF, Jeong, J, De Girolamo, AM 2020, Gentile F. Effectiveness and feasibility of different management practices to reduce soil erosion in an agricultural watershed. Land Use Policy, 90: 104306.
Rodrigo Comino, J 2018, Five decades of soil erosion research in “terroir”. The State-of-the-Art. Earth-Science Reviews, 179: 436-447.
Saha, S, Gayen, A, Pourghasemi, HR & Tiefenbacher, JP 2019, Identification of soil erosion-susceptible areas using fuzzy logic and analytical hierarchy process modeling in an agricultural watershed of Burdwan district, India. Environmental Earth Sciences, 78: 649.
Sharifi, A, Shirani, H, Besalatpour, AA & Esfandiarpour Borujeni, I 2021, Modelling of the factors affecting interrill erosion in pasture and forest land uses using artificial neural networks. Journal of Water and Soil Conservation, 27: 85-102 (In Persian).
Sirjani, E, Sameni, A, Moosavi, AA, Mahmoodabadi, M & Laurent, B 2019, Portable wind tunnel experiments to study soil erosion by wind and its link to soil properties in the Fars province, Iran. Geoderma, 333: 69-80.
Teng, HF, Hu, J, Zhou, Y, Zhou, LQ & Shi, Z 2019, Modelling and mapping soil erosion potential in China. Journal of Integrative Agriculture, 18: 251-264.
Wen, X & Zhen, L 2020, Soil erosion control practices in the Chinese Loess Plateau: A systematic review. Environmental Development, 34: 100493.
Zerihun, M, Mohammedyasin, MS, Sewnet, D, Adem, AA & Lakew, M 2018, Assessment of soil erosion using RUSLE, GIS and remote sensing in NW Ethiopia. Geoderma Regional. | ||
آمار تعداد مشاهده مقاله: 602 تعداد دریافت فایل اصل مقاله: 455 |