منابع
بهرهمند، عبدالرضا، و حسینعلیزاده، محسن (1401). توسعه مدل مفهومی هیدرولوژی FLEX-Topo برای حوزههای آبخیز لسی متأثر از فرسایشهای پایپینگ و تونلی استان گلستان. پژوهشهای حفاظت آب و خاک، ۲۹(۱)، 133-115. doi: 10.22069/jwsc.2022.20050.3544
جلالی فرد، علیرضا، حسینعلیزاده، محسن، کمکی، چوقی بایرام، و عظیم محسنی، مجید (1397). مدلسازی فرسایش پایپینگ در اراضی لسی.
پژوهشهای فرسایش محیطی، 8 (4):، 18-1. doi:
20.1001.1.22517812.1397.8.4.1.4
همتی دایو، علیرضا، زارع گاریزی، آرش، شیخ، واحدبردی، و محمدیان بهبهانی، علی (1402). ارزیابی اثر پوستههای زیستی خاک بر کیفیت رواناب. مدلسازی و مدیریت آب و خاک، 3(4)، 93-106. doi 10.22098/mmws.2022.11617.1151
یعقوبی، ثریا، حسینعلیزاده، محسن، کمکی، چوقی بایرام، نجفینژاد، علی، و پورقاسمی، حمیدرضا (1403). ارزیابی کارآمدی سه مدل دادهکاوی در پهنهبندی مناطق حساس به رخداد آبکند (مطالعة موردی: حوزة آبخیز بالادست سد بوستان، استان گلستان). مدلسازی و مدیریت آب و خاک، 4(4)، 238-219. doi: 10.22098/mmws.2023.13511.1343
References
Arabameri, A., Chen, W., Loche, M., Zhao, X., Li, Y., Lombardo, L., Cerda, A., Pradhan, B., & Bui, D.T. )2020(. Comparison of machine learning models for gully erosion susceptibility mapping. Geoscience Frontiers, 11(5), 1609-1620. doi: 10.1016/j.gsf.2019.11.009
Bahremand, A., & Hosseinalizadeh, M. (2022). Development of conceptual hydrological FLEX-Topo model for loess watersheds influenced by piping and tunnel erosion in Golestan Province of Iran. Journal of Water and Soil Conservation, 29(1), 115-133. doi: 10.22069/jwsc.2022.20050.3544 [In Persian]
Bae, S., Yu, J., Wang, L., Jeong, Y., Kim, J., & Yang, D.Y. )2019(. Experimental analysis of sand grain size mapping using UAV remote sensing. Remote Sensing Letters, 10(9), 893-902. doi: 10.1080/2150704X.2019.1629713
Bai, R., Wang, X., Li, J., Yang, F., Shangguan, Zh., & Deng, L. (2024). The impact of vegetation reconstruction on soil erosion in the Loess Plateau
. Journal of Environmental Management, 363, 121382.
doi: 10.1016/j.jenvman.2024.121382
Bao, H., Lann, T., Ao, X., Yang, L., Lan, H., & Peng, J. (2024). Evolution characteristic of soil water in loess slopes with different slope angles. Geoenvironmental Disasters, 11(1). doi: 10.1186/s40677-024-00293-6
Bernatek-Jakiel, A., Kacprzak, A., & Stolarczyk, M. (2016). Impact of soil characteristics on piping activity in a mountainous area under a temperate climate (Bieszczady Mts., Eastern Carpathians).
Catena, 141, 117-129. doi:
10.1016/j.catena.2016.03.001
Bernatek-Jakiel, A. & Nadal-Romero, E. (2022). Can soil piping impact environment and society? Identifying new research gaps.
Earth Surface Processes and Landforms, 48(1), 72-86. doi:
https://doi.org/10.1002/esp.5431
Bernatek-Jakiel, A. & Poesen, J. (2018). Subsurface erosion by soil piping: significance and research needs.
Earth-Science Reviews, 185, 1107-1128. doi:
10.1016/j.earscirev.2018.08.006
Bhagyalekshmi, S., Mohan, M., Sreedharan, K., & Ajaykumar, B. (2015). Evaluation of the factors controlling the spatial distribution of soil piping: A case study from the southern Western Ghats, India.
Arabian Journal of Geosciences, 8(10), 8055-8067. doi:
10.1007/s12517-015-1793-8
Bovi, R.C., Moreira, C. A., Rosolen, V.S., Rosa, F.T.G., Furlan, L.M., & Helene, L.P.I. (2020). Piping process: Genesis and network characterization through a pedological and geophysical approach.
Geoderma, 361, 114101.
doi: 10.1016/j.geoderma.2019.114101
Dai, W., Hu, J., Wang, B., Fan, M., Zhou, Y., & Zhang, M. (2024). Effects of Digital Elevation Model Resolution on Unmanned Aerial Vehicle-Based Topographic Change Detection in Human-Altered Landscapes. Drones, 8(11), 610. doi: 10.3390/drones8110610
D'Oleire-Oltmanns, S., Marzolff, I., Tiede, D. & Blaschke, T. (2014). Detection of gully-affected areas by applying object-based image analysis (OBIA) in the region of Taroudannt, Morocco.
Remote Sensing, 6(9), 8287-8309.
doi: 10.3390/rs6098287
Eltner, A., Kaiser, A., Castillo, C., Rock, G., Neugirg, F. & Abellan, A. (2015). Image-based surface reconstruction in geomorphometry-merits, limits and developments of a promising tool for geoscientists.
Earth Surface Dynamics Discussions, 3, 1445-1508.
doi: 10.5194/esurf-4-359-2016
Fang, R., Deng, L., Fan, W., Yang, G., Tang, D., & Amini, M. (2024). Research on response characteristics of loess slope and disaster mechanism caused by structural plane extension under excavation.
Scientific Reports, 14, 28700.
doi:10.1038/s41598-024-80016-x
Faulkner, H. (2013). Badlands in marl lithologies: a field guide to soil dispersion, subsurface erosion and piping-origin gullies.
Catena, 106, 42-53.
doi: 10.1016/j.catena.2012.04.005
Feizi, V., Azizi, G., Mollashahi, M., & Alimohammadian, H. (2025). Magnetic properties and geochemistry of loess/paleosol sequences at Nowdeh section in northeastern Iran.
Climate of the Past, 21, 941-955.
doi: 10.5194/cp-21-941-2025
Gu, Zh., Ji, K., Yi, Q., Cao, Sh., Li, P., & Feng, D. (2024). Quantitative evaluation of soil erosion in loess hilly area of western Henan based on sampling approach.
Water, 16(20), 2895.
doi: 10.3390/w16202895
Hamshaw, S.D., Engel, T., Rizzo, D.M., O’Neil-Dunne, J. & Dewoolkar, M.M. (2019). Application of unmanned aircraft system (UAS) for monitoring bank erosion along river corridors. Geomatics, Natural Hazards and Risk, 10(1), 1285-1305. doi: 10.1080/19475705.2019.1571533
He, L., Guo, J., Zhang, X., Liu, B., Guzmán, G., & Gómez, J.A. (2023). Vegetation restoration dominated the attenuated soil loss rate on the Loess Plateau, China over the last 50 years. Catena, 228, 107149. doi: 10.1016/j.catena.2023.107149
Hosseinalizadeh, M., Kariminejad, N., & Alinejad, M. (2018). An application of different summary statistics for modelling piping collapses and gully headcuts to evaluate their geomorphological interactions in Golestan Province, Iran. Catena, 171, 613-621. doi: 10.1016/j.catena.2018.08.005
Hosseinalizadeh, M., Kariminejad, N., Bahremand, A., Gangi, N., Bernatek Jakiel, A., Tazikeh, H., Shafaie, V., & Movahedi Rad, M. (2025a). Integrating geophysical techniques and UAV mapping for the detection and temporal analysis of soil pipes and pipe collapses in agricultural loess landscapes. Geoenvironmental Disasters, 12, 37. doi: 10.1186/s40677-025-00343-7
Hosseinalizadeh, M., Alinejad, M., Tazikeh, H., Kariminejad, N., Bernatek‑Jakiel, A., & Khormali, F. (2025b). Piping erosion in semi‐arid loess hillslope: The influence of soil characteristics. Land Degradation & Development. doi: 10.1002/ldr.70202
Hosseinalizadeh, M., Kariminejad, N., Chen, W., Pourghasemi, H.R., Alinejad, M., Behbahani, A.M., & Tiefenbacher, J.P. (2019). Spatial modelling of gully headcuts using UAV data and four best-first decision classifier ensembles (BFTree, Bag-BFTree, RS-BFTree, and RF-BFTree). Geomorphology, 329, 184-193. doi: 10.1016/j.geomorph.2019.01.006
Hossini, H., Karimi, H., Mustafa, Y.T., & Fadhil Al-Quraishi, A.M. (2022). Role of Effective Factors on Soil Erosion and Land Degradation: A Review. In book: Environmental Degradation in Asia Land Degradation. Environmental Contamination, and Human Activities, 221-235. doi: 10.1007/978-3-031-12112-8_11
Hemati Daiv, A., Zare Garizi, A., Sheikh, V., & Mohammadian Behbahani, A. (2023). Effects of biological soil crust on surface runoff quality. Water and soil management and modeling, 3(4), 93-106. doi: 10.22098/mmws.2022.11617.1151 [In Persian]
Jalalifard, A., Hosseinalizadeh M., Komaki C.B., & Azimmohseni M. (2019). Modeling of piping erosion in loess soils.
Environmental Erosion Research, 8 (4), 1-18. doi:
20.1001.1.22517812.1397.8.4.1.4 [In Persian]
Kariminejad, N., Hosseinalizadeh, M., Pourghasemi, H. R., & Tiefenbacher, J. (2021). Change detection in piping, gully head forms, and mechanisms.
Catena, 206, 105550.
doi: 10.1016/j.catena.2021.105550
Kariminejad, N., Kazemi Garajeh, M., Hosseinalizadeh, M., Golkar, F., & Pourghasemi, H. R. (2023a). Harnessing the power of remote sensing and unmanned aerial vehicles: A comparative analysis for soil loss estimation on the Loess Plateau.
Drones, 7(11), 659.
doi: 10.3390/drones7110659
Kariminejad, N., Rossi, M., Hosseinalizadeh, M., Pourghasemi, H. R., & Santosh, M. (2020). Gully head modelling in Iranian Loess Plateau under different scenarios. Catena, 194, 104769.
doi: 10.1016/j.catena.2020.104769
Kariminejad, S., Sepehr, A., Poesen, J., & Hassanli, A. (2023b). Combining UAV remote sensing and pedological analyses to better understand soil piping erosion.
Geoderma, 429, 116267.
doi: 10.1016/j.geoderma.2022.116267
Koci, J., Jarihani, B., Leon, J. X., Sidle, R. C., Wilkinson, S. N., & Bartley, R. (2017). Assessment of UAV and ground-based Structure from Motion with multi-view stereo photogrammetry in a gullied savanna catchment.
ISPRS International Journal of Geo-Information, 6(11): 328. doi:
10.3390/ijgi6110328
Krenz, J., Greenwood, P. & Kuhn, N.J. (2019). Soil degradation mapping in drylands using unmanned aerial vehicle (UAV) data.
Soil Systems, 3(2), 33.
doi: 10.3390/soilsystems3020033
Llena, M., Carreras, S., Bernatek-Jakiel, A., Ollero, A., & Nadal-Romero, E. (2024). Agricultural land abandonment linked to pipe collapse and gully development: Reconstruction from archival SfM and LiDAR datasets.
Geoderma, 449, 116995.
doi: 10.1016/j.geoderma.2024.116995
Liu, Y., Hou, X., Qiao, J., Zhang, W., Fang, M., & Lin, M. (2023). Evaluation of soil erosion rates in the hilly-gully region of the Loess Plateau in China in the past 60 years using global fallout plutonium. Catena, 220, 106666. doi: 10.1016/j.catena.2022.106666
Li, D., Li, P., Hu, J., Bai, X., Latifi, H., Liu, L., & Yao, W. (2025a). Mapping catchment-scale soil erosion and deposition using an improved DoD method based on multi-temporal UAV-borne laser scanning.
IEEE Transactions on Geoscience and Remote Sensing, 63(1), 5701113. doi:
10.1109/TGRS.2025.3531495
Li, P., Li, D., Hu, J., Fassnacht, F. E., Latifi, H., Yao, W., Gao, J., Chan, F., Dang, T., & Tang, F. (2024). Improving the
application of UAV-LiDAR for erosion monitoring through accounting for uncertainty in DEM of difference.
Catena, 234, 107534.
doi: 10.1016/j.catena.2023.107534
Li, D., Li, P., Hu, J., Yao, W., Yan, L., Fassnacht, F. E., Latifi, H., Dan, Y., Liu, L., Gao, J., & Dang, T. (2025c). Comparing methods of assessing uncertainty in DEM of difference for soil erosion detection based on UAV laser scanning data.
Geomorphology, 491, 110034.
doi: 10.1016/j.geomorph.2025.110034
Li, W., Li, p., Yan, L., Hu, J., Wang, L., Li, D., Dan, Y., Huang, L., & Zhao, G. (2025b). Impacts of spatial resolutions of UAV-LiDAR-derived DEMs on erosion modelling in the hilly and gully Loess Plateau.
Catena, 225, 109059.
doi: 10.1016/j.catena.2025.109059
Mlambo, R., Woodhouse, I., Gerard, F. & Anderson, K. (2017). Structure from motion (SfM) Photogrammetry with drone data: A low-cost method for monitoring greenhouse gas emissions from forests in developing countries. Forests, 8(3), 68.
doi: 10.3390/f8030068
Niculiță, M., Mărgărint, M.C., & Tarolli, P. (2020). Using UAV and LiDAR data for gully geomorphic changes monitoring.
Developments in Earth Surface Processes, 23, 271-315.
doi: 10.1016/B978-0-444-64177-9.00010-2
Poesen J. (2017). Soil erosion in the Anthropocene: Research needs.
Surface Processes and Landforms, 43(1), 64-84.
doi: 10.1002/esp.4250
Pereyra, M.A., Fernández, D.S., Marcial, E.R., & Puchulu, M.E. (2020). Agricultural land degradation by piping erosion in Chaco Plain, Northwestern Argentina.
Catena, 189, 104295.
doi: 10.1016/j.catena.2019.104295
Rabiu, A., & Ahmad, A. (2023). Unmanned aerial vehicle photogrammetric products accuracy assessment: A review.
The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences,
XLVIII-4/W6, 279–288.
doi: 10.5194/isprs-archives-XLVIII-4-W6-279-2023
Rodzik, J., Kołodyńska-Gawrysiak, R., Franczak, Ł., Zgłobicki, W., & Poesen, J. (2024). Impact of Land Use Changes on Collapsed Pipes Development in the Loess Gully (Lublin Upland, East Poland).
Quaestiones Geographicae. 43(4), 17-33.
doi: org/10.14746/quageo-2024-0042
Rafaeli, O., Nahlieli, A., & Svoray, T. (2023). Dynamics of subsurface soil erosion in a semiarid region: A time-series study of sinkhole area and morphology.
Catena, 233, 107511.
doi: 10.1016/j.catena.2023.107511
Stocker, C., Eltner, A. & Karrasch, P. (2015). Measuring gullies by synergetic application of UAV and close-range photogrammetry — A case study from Andalusia, Spain. Catena, 132, 1-11. doi: 10.1016/j.catena.2015.04.004
Sartori, M., Ferrari, E., M’Barek, R., Philippidis, G., Boysen-Urban, K., Borrelli, P., Montanarella, L., & Panagos, P. (2024). Remaining loyal to our soil: A prospective integrated assessment of soil erosion on global food security.
Ecological Economics, 219, 108103.
doi: 10.1016/j.ecolecon.2023.108103
Verachtert, E., Maetens, W., Van Den Eeckhaut, M., Poesen, J., & Deckers, J. (2011). Soil loss rates due to piping erosion.
Earth Surface Processes and Landforms, 36(13), 1715-1725.
doi.: 10.1002/esp.2186
Vega, F., Ramírez, F., Siaz, M. & Rosua, F. (2015). Multi-temporal imaging using an unmanned aerial vehicle for monitoring a sunflower crop. Biosystems Engineering, 132: 19-72. doi: 10.1016/j.biosystemseng.2015.01.008
Verachtert, E., Van Den Eeckhaut, M., Poesen, J., Govers, G., Deckers, J. 2010. Factors controlling the spatial distribution of soil piping erosion on loess-derived soils: a case study from central Belgium. Geomorphology, 195, 28-39. doi: 10.1016/j.geomorph.2010.02.001
Vaze, J., Teng, J., Spencer, G. 2010.
Impact of DEM accuracy and resolution on topographic indices. Environmental Modelling & Software 25(10), 1086-1098.
doi: 10.1016/j.envsoft.2010.03.014
Wang, J., Yang, J., Li, Zh., Ke, L., Li, Q., Fan, J., & Wang, X. (2025). Research on soil erosion based on remote sensing technology: A review.
Agriculture, 15(1), 18.
doi: 10.3390/agriculture15010018
Wang, Z., Zeng, R., & Ma, P. (2024). Determining of gully erosion susceptibility based on UAV and machine learning in Loess Plateau. Geomatics,
Natural Hazards and Risk, 15(1).
doi: 10.1080/19475705.2024.2421382
Yaghobi, S., Hosseinalizdeh, M., Komaki, C.B., Najafinejad, A., & Pourghasemi, H. (2024). Evaluation of the efficiency of three data mining models in zoning areas prone to gully erosion (Case study: Upper Watershed of Boustan Dam).
Water and Soil Management and Modeling, 4(4), 219-238.
doi: 10.22098/mmws.2023.13511.1343 [In Persian]
Zeng, Y., Jing, T., Xu, B., Yang, X., Jian, J., Zong, R., Wang, B., Dai, W., Deng, L., Fang, N., & Shi, Z. (2024). Vectorized dataset of silted land formed by check dams on the Chinese Loess Plateau.
Scientific Data, 11, 348.
doi: 10.1038/s41597-024-03198-z.
Zakerinejad, R., & Maerker, M. (2015). An integrated assessment of soil erosion dynamics with special emphasis on gully erosion in the Mazayjan basin, southwestern Iran.
Natural Hazards, 79(1), 25-50.
doi: 10.1007/s11069-015-1700-3.
Zhuang, J., Peng, J., Du, Ch., Zhu, Y., & Kong, J. (2024). Hallow-landslide stability evaluation in loess areas according to the Revised Infinite Slope Model: a case study of the 7.25 Tianshui sliding-flow landslide events of 2013 in the southwest of the Loess Plateau, China.
Hazards Earth Syst. Sci., 24, 2615-2631.
doi: 10.5194/nhess-24-2615-2024.
)