Althuwaynee, O. F., Pradhan, B., & Lee, S. (2012). Application of an evidential belief function model in landslide susceptibility mapping. Computers & Geosciences, 44, 120–135. https://doi.org/10.1016/j.cageo.2012.03.003 Autoridad Nacional del Agua. (2012). Mapa de unidades hidrográficas. https://snirh.ana.gob.pe/onrh/MapaTematicoUH.aspx Beven, K. J., & Kirby, M. C. (1979). A physically based, single-source catchment model of the hydrologic response to rainfall and evapotranspiration. Hydrological Sciences Journal, 24(1), 103–110. Hornik, K., Stinchcombe, M., & White, H. (1989). Multilayer feedforward networks are universal approximators. Neural Networks, 2(5), 359–366. Instituto Geológico, Minero y Metalúrgico (2010). Mapa de susceptibilidad por movimientos en masa del Perú https://hdl.handle.net/20.500.12544/2906 Kumar, C., Walton, G., Santi, P., & Luza, C. (2023). An ensemble approach of feature selection and machine learning models for regional landslide susceptibility mapping in the arid mountainous terrain of southern Peru. Remote Sensing, 15(5), 1376. Luque Poma, G., Gomez Velásquez, H. D., Pari Pinto, W., Peña Laureano, F., & Huamán Nieto, M. (2021). Peligro geológico en la región Tacna (Boletín Serie C, No. 82). INGEMMET. Mandal, S., & Mondal, S. (2019). Statistical approaches for landslide susceptibility assessment and prediction (Vol. 27). Springer. Mandelbrot, B. B. (1983). The fractal geometry of nature. W. H. Freeman. McNab, W. H. (1993). A topographic index to quantify the effect of mesoscale landform on site productivity. Canadian Journal of Forest Research, 23(6), 1100–1107. Moore, I. D., Grayson, R. B., & Ladson, A. R. (1991). Digital terrain modelling: A review of hydrological, geomorphological, and biological applications. Hydrological Processes, 5(1), 3–30. https://doi.org/10.1002/hyp.3360050103 Puente-Sotomayor, F., Egas, A., & Teller, J. (2021). Land policies for landslide risk reduction in Andean cities. Habitat International, 107, 102298. Riedmiller, M. (1994). Advanced supervised learning in multi-layer perceptrons—from backpropagation to adaptive learning algorithms. Computer Standards & Interfaces, 16(3), 265–278. Rosi, A., Frodella, W., Nocentini, N., Caleca, F., Havenith, H. B., Strom, A., Saidov, M., Bimurzaev, G. A., & Tofani, V. (2023). Comprehensive landslide susceptibility map of Central Asia. Natural Hazards and Earth System Sciences, 23(6), 2229–2250.
RkJQdWJsaXNoZXIy MTM0Mzk2