Water Harvesting Research

Water Harvesting Research

Multiannual Soil-Erosion Potential and Structural Connectivity in the Deli Watershed, Southwestern Iran (2005–2025)

Document Type : Research Paper

Authors
1 Department of Soil Conservation and Watershed Management Research, Khuzestan Agricultural and Natural Resource Research Center, Agricultural Research, Education and Extension Organization, Ahvaz, Iran.
2 Department of Natural Engineering, Faculty of Agriculture, Khuzestan University of Agricultural Sciences and Natural Resources, Ahvaz, Iran.
Abstract
Water erosion in semi-arid mountain watersheds depends on both sediment-source potential and the structural connection of source areas to the drainage network. A multiannual, sensitivity-aware screening workflow was developed for the 105.20 km² Deli watershed, southwestern Iran, for 2005–2025. Landsat 5/7 indices were transformed to an Operational Land Imager-equivalent scale using local near-coincident Landsat 7–8 pairs, annual cover-management factors were derived, rainfall erosivity was represented using a CHIRPS–modified Fournier proxy, soil erodibility was estimated from SoilGrids, and topographic controls were derived from a 30 m DEM. Annual RUSLE products were combined with structural connectivity, hotspot persistence and conditional support-practice scenarios. The uncertainty measure is the low-to-high structural sensitivity range across alternative R, K, C and P assumptions, not a probabilistic confidence interval. All erosion and delivery results are unitless comparative index values rather than physical soil-loss or sediment-yield rates. The long-term mean potential soil-loss index was 582.11 index units; annual means ranged from 138.33 in 2010 to 1040.20 in 2018, with no significant monotonic watershed-scale trend. The annual response closely followed the rainfall-erosivity proxy (Spearman ρ = 0.98, p < 0.001), whereas its association with the watershed-mean C factor was weak and non-significant (ρ = −0.07, p = 0.758). Hotspots recurring in at least half of the years occupied 10.42 km², and mean relative structural uncertainty was 37.40%. Moderate and strong conditional P scenarios, representing 10–45% and 55–72.5% local reductions across eligible cells, lowered the index within 4.85 km² of stable cropland by 36.87% and 68.38%, but reduced the watershed-wide mean by only 0.34% and 0.63% because the treated domain covered about 4.6% of the watershed. The maps provide first-tier evidence for prioritizing field verification, monitoring and sediment pre-treatment. CHIRPS intensity limitations, the approximately 250 m support of SoilGrids and the absence of sediment observations preclude calibrated rates or stand-alone siting decisions.
Keywords
Subjects

Alsaihani, M., & Alharbi, R. (2024). Mapping of soil erosion vulnerability in Wadi Bin Abdullah using remote sensing and GIS techniques. Water, 16(18), 2663. https://doi.org/10.3390/w16182663
Barbadori, F., Confuorto, P., Chouksey, B., Moretti, S., & Raspini, F. (2024). Multi-temporal assessment of soil erosion after a wildfire in Tuscany using Google Earth Engine. Land, 13(11), 1950. https://doi.org/10.3390/land13111950
Batista, P. V. G., Fiener, P., Scheper, S., & Alewell, C. (2022). A conceptual-model-based sediment connectivity assessment for patchy agricultural catchments. Hydrology and Earth System Sciences, 26, 3753–3770. https://doi.org/10.5194/hess-26-3753-2022
Benavidez, R., Jackson, B., Maxwell, D., & Norton, K. (2018). A review of the (Revised) Universal Soil Loss Equation. Hydrology and Earth System Sciences, 22, 6059–6086. https://doi.org/10.5194/hess-22-6059-2018
Borrelli, P., Alewell, C., Alvarez, P., Anache, J. A. A., Baartman, J., Ballabio, C., Bezak, N., Biddoccu, M., Cerdà, A., Chalise, D., Chen, S., Chen, W., De Girolamo, A. M., Gessesse, G. D., Deumlich, D., Diodato, N., Efthimiou, N., Erpul, G., Fiener, P., … Panagos, P. (2021). Soil erosion modelling: A global review and statistical analysis. Science of the Total Environment, 780, 146494. https://doi.org/10.1016/j.scitotenv.2021.146494
Borrelli, P., Robinson, D. A., Panagos, P., Lugato, E., Yang, J. E., Alewell, C., Wuepper, D., Montanarella, L., & Ballabio, C. (2020). Land use and climate change impacts on global soil erosion by water (2015–2070). Proceedings of the National Academy of Sciences, 117(36), 21994–22001. https://doi.org/10.1073/pnas.2001403117
Borselli, L., Cassi, P., & Torri, D. (2008). Prolegomena to sediment and flow connectivity in the landscape: A GIS and field numerical assessment. Catena, 75(3), 268–277. https://doi.org/10.1016/j.catena.2008.07.006
Cavalli, M., Trevisani, S., Comiti, F., & Marchi, L. (2013). Geomorphometric assessment of spatial sediment connectivity in small Alpine catchments. Geomorphology, 188, 31–41. https://doi.org/10.1016/j.geomorph.2012.05.007
Crema, S., & Cavalli, M. (2018). SedInConnect: A stand-alone, free and open source tool for the assessment of sediment connectivity. Computers & Geosciences, 111, 39–45. https://doi.org/10.1016/j.cageo.2017.10.009
Deli Watershed Detailed Studies Project. (2008a). Geology, hydrology, meteorology and physiography reports for the Deli watershed [Unpublished executive project reports in Persian]. Khuzestan Province, Iran.
Deli Watershed Detailed Studies Project. (2008b). Pedology, erosion, rangeland and forest reports for the Deli watershed [Unpublished executive project reports in Persian]. Khuzestan Province, Iran.
Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S., Husak, G., Rowland, J., Harrison, L., Hoell, A., & Michaelsen, J. (2015). The Climate Hazards Infrared Precipitation with Stations—A new environmental record for monitoring extremes. Scientific Data, 2, 150066. https://doi.org/10.1038/sdata.2015.66
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031
Heckmann, T., Cavalli, M., Cerdan, O., Foerster, S., Javaux, M., Lode, E., Smetanová, A., Vericat, D., & Brardinoni, F. (2018). Indices of sediment connectivity: Opportunities, challenges and limitations. Earth-Science Reviews, 187, 77–108. https://doi.org/10.1016/j.earscirev.2018.08.004
La Licata, M., Bosino, A., Sadeghi, S. H., De Amicis, M., Mandarino, A., Terret, A., & Maerker, M. (2025). HOTSED: A new integrated model for assessing potential hotspots of sediment sources and related sediment dynamics at watershed scale. International Soil and Water Conservation Research, 13(1), 80–101. https://doi.org/10.1016/j.iswcr.2024.06.002
Moore, I. D., & Burch, G. J. (1986). Physical basis of the length-slope factor in the Universal Soil Loss Equation. Soil Science Society of America Journal, 50(5), 1294–1298. https://doi.org/10.2136/sssaj1986.03615995005000050042x
Najafi, S., Dragovich, D., Heckmann, T., & Sadeghi, S. H. (2021). Sediment connectivity concepts and approaches. Catena, 196, 104880. https://doi.org/10.1016/j.catena.2020.104880
Panagos, P., Ballabio, C., Poesen, J., Lugato, E., Scarpa, S., Montanarella, L., & Borrelli, P. (2020). A soil erosion indicator for supporting agricultural, environmental and climate policies in the European Union. Remote Sensing, 12(9), 1365. https://doi.org/10.3390/rs12091365
Pérez-Cutillas, P., Benabdelouahab, S., & Salhi, A. (2026). Mitigating erosion and enhancing sediment retention through sustainable land management scenarios. Earth Systems and Environment, 10, 1147–1166. https://doi.org/10.1007/s41748-025-00660-9
Poggio, L., de Sousa, L. M., Batjes, N. H., Heuvelink, G. B. M., Kempen, B., Ribeiro, E., & Rossiter, D. (2021). SoilGrids 2.0: Producing soil information for the globe with quantified spatial uncertainty. SOIL, 7, 217–240. https://doi.org/10.5194/soil-7-217-2021
Renard, K. G., & Freimund, J. R. (1994). Using monthly precipitation data to estimate the R-factor in the revised USLE. Journal of Hydrology, 157, 287–306. https://doi.org/10.1016/0022-1694(94)90110-4
Renard, K. G., Foster, G. R., Weesies, G. A., McCool, D. K., & Yoder, D. C. (1997). Predicting soil erosion by water: A guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE). USDA Agriculture Handbook No. 703. https://www.tucson.ars.ag.gov/unit/publications/PDFfiles/717.pdf
Roy, D. P., Kovalskyy, V., Zhang, H. K., Vermote, E. F., Yan, L., Kumar, S. S., & Egorov, A. (2016). Characterisation of Landsat-7 to Landsat-8 reflective wavelength and normalised difference vegetation index continuity. Remote Sensing of Environment, 185, 57–70. https://doi.org/10.1016/j.rse.2015.12.024
Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall's tau. Journal of the American Statistical Association, 63(324), 1379–1389. https://doi.org/10.1080/01621459.1968.10480934
Shi, C., Liang, Y., Qin, W., Ding, L., Cao, W., Zhang, M., & Zhang, Q. (2025). Review of sediment connectivity: Conceptual connotations, characterization indicators, and their relationships with soil erosion and sediment yield. Earth-Science Reviews, 264, 105091. https://doi.org/10.1016/j.earscirev.2025.105091
Van der Knijff, J. M., Jones, R. J. A., & Montanarella, L. (2000). Soil erosion risk assessment in Europe. EUR 19044 EN. Office for Official Publications of the European Communities, Luxembourg, 34 pp.
Williams, J. R., Renard, K. G., & Dyke, P. T. (1983). EPIC: A new method for assessing erosion’s effect on soil productivity. Journal of Soil and Water Conservation, 38(5), 381–383. https://doi.org/10.1080/00224561.1983.12436327 
Xiong, M., Leng, G., & Tang, Q. (2023). Global analysis of the cover-management factor for soil erosion modelling. Remote Sensing, 15(11), 2868. https://doi.org/10.3390/rs15112868
Zanaga, D., Van De Kerchove, R., Daems, D., De Keersmaecker, W., Brockmann, C., Kirches, G., Wevers, J., Cartus, O., Santoro, M., Fritz, S., Lesiv, M., Herold, M., Tsendbazar, N.-E., Xu, P., Ramoino, F., & Arino, O. (2022). ESA WorldCover 10 m 2021 v200. Zenodo. https://doi.org/10.5281/zenodo.7254221   
Zoratipour, A., & Heidary, K. (2022). Cell-scale sediment variation using the structural connectivity index: Abolabbas watershed, Khuzestan Province. Iranian Journal of Soil and Water Research, 53(6), 1213–1226. https://doi.org/10.22059/ijswr.2022.340158.669224