Análisis de susceptibilidad a deslizamientos empleando el proceso de jerarquía analítica en una carretera Amazónica del Ecuador
Contenido principal del artículo
Resumen
Palabras Clave
susceptibilidad, deslizamiento, proceso de jerarquía analítica, sistema de información geográfica (SIG), modelo cartográfico de susceptibilidad susceptibility, landslide, analytical hierarchy process, geographic information system (GIS), susceptibility mapping model
Citas
Achour, Y. y col. (2017). «Landslide susceptibility mapping using analytic hierarchy process and information value methods along a highway road section in Constantine, Algeria». En: Arabian Journal of Geosciences 10, 1-16. Online: https://n9.cl/ggext0.
Ali, S. y col. (2019). «Landslide susceptibility mapping by using a geographic information system (GIS) along the China–Pakistan Economic Corridor (Karakoram Highway), Pakistan». En: Natural Hazards and Earth System Sciences 19.5,999-1022. Online: https://n9.cl/3qz9h.
Althouse, A. (2016). «Statistical graphics in action: making better sense of the ROC curve». En: International Journal of Cardiology 215, 9-10. Online: https://n9.cl/hipk6.
Althuwaynee, O. y B. Pradhan (2017). «Semiquantitative landslide risk assessment using GIS-based exposure analysis in Kuala Lumpur City». En: Geomatics, Natural Hazards and Risk 8.2, 706-732. Online: https://n9.cl/44j52.
Asmare, D. (2023). «Application and validation of AHP and FR methods for landslide susceptibility mapping around choke mountain, northwestern ethiopia». En: Scientific African 19, e01470. Online: https://n9.cl/7vjlh.
Bahrami, Y., H. Hassani y A. v Maghsoudi (2021). «Landslide susceptibility mapping using AHP and fuzzy methods in the Gilan province, Iran». En: GeoJournal 86, 1797-1816. Online: https://n9.cl/frz7v.
Barella, C., F. Sobreira y J. Zêzere (2019). «A comparative analysis of statistical landslide susceptibility mapping in the southeast region of Minas Gerais state, Brazil». En: Bulletin of Engineering Geology and the Environment 78, 3205-3221. Online: https://n9.cl/z8lcl2.
Basu, T. y S. Pal (2020). «A GIS-based factor clustering and landslide susceptibility analysis using AHP for Gish River Basin, India». En: Environment, development and sustainability 22, 4787-4819. Online: https://n9.cl/uh67s2.
Benchelha, S. y col. (2020). «Landslide susceptibility mapping in the commune of Oudka, Taounate Province, North Morocco: A comparative analysis of logistic regression, multivariate adaptive regression spline, and artificial neural network models». En: Environmental & Engineering Geoscience 26.2, 185-200. Online: https://n9.cl/fxlus.
Bien, T. y col. (2022). «Landslide susceptibility mapping at sin Ho, Lai Chau province, Vietnam
using ensemble models based on fuzzy unordered rules induction algorithm». En: Geocarto International 37.27, 17777-17798.
Bragagnolo, L., R. da Silva y J. Grzybowski (2020). «Landslide susceptibility mapping with r. landslide: A free open-source GIS-integrated tool based on Artificial Neural Networks». En: Environmental Modelling & Software 123, 104565. Online: https://n9.cl/2lss7i.
Bravo-López, E. y col. (2022). «Landslide susceptibility mapping of landslides with artificial neural networks: Multi-approach analysis of backpro-pagation algorithm applying the neuralnet package in Cuenca, Ecuador». En: Remote Sensing 14.14, 3495. Online: https://n9.cl/zihph.
Bravo, C. y col. (2017). «Indicadores morfológicos y estructurales de calidad y potencial de erosión del suelo bajo diferentes usos de la tierra en la Amazonía ecuatoriana». En: Anales de Geografía de la Universidad Complutense 37.2, 247-264. Online: https://n9.cl/2lss7i.
Carrara, A. (1983). «Multivariate models for landslide hazard evaluation». En: Journal of the International Association for Mathematical Geology 15, 403-426. Online: https://n9.cl/ij7ke.
Chanu, M. y O. Bakimchandra (2022). «Landslide susceptibility assessment using AHP model and multi resolution DEMs along a highway in Manipur, India». En: Environmental Earth Sciences 81.5, 156. Online: https://n9.cl/55hjo.
Correo (2017). Tramos de 21 vías de once provincias siguen cerrados.
Cruden, D. (1991). «A simple definition of a landslide» En: Bulletin of Engineering Geology & the Environment 43.1, 27-29. Online: https://n9.cl/b5nhdd.
Cruden, D. y D. Varnes (1996). «Landslides: investigation and mitigation». En: Transportation Research Board. Cap. Chapter 3 - Landslide types and processes, págs. 36-75.
Dahal, B. y R. Dahal (2017). «Landslide hazard map: tool for optimization of low-cost mitigation ». En: Geoenvironmental Disasters 4, 1-9. Online: https://n9.cl/xd5dr.
Dai, F. y col. (2001). «Assessment of landslide susceptibility on the natural terrain of Lantau Island, Hong Kong». En: Environmental geology 40, 381-391. Online: https://n9.cl/pktic.
Demir, G. y col. (2013). «A comparison of landslide susceptibility mapping of the eastern part of the North Anatolian Fault Zone (Turkey) by likelihood-frequency ratio and analytic hierarchy process methods». En: Natural hazards 65, 1481-1506. Online: https://n9.cl/4vxpj.
Dolui, B., R. Yuvaraj y G. Geetha (2019). «Landslide susceptibility mapping using AHP model in Nilgiri District». En: Thematics Journal of Geography 8.12, 189-208. Online: https://n9.cl/vy1ht.
Ecoamazónico (2014). MTOP atiende inmediatamente los 6 deslizamientos de tierra.
Ecoamazónico (2020). Reporte de un derrumbe en la vía al Tena.
Ecoamazónico (2021). Vía habilitada en el Paso Lateral.
Ercanoglu, M. y C. Gokceoglu (2004). «Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey)». En: Engineering geology 75.3-4, 229-250. Online: https://n9.cl/gyhr2c.
Feizizadeh, B. y T. Blaschke (2013). «GISmulticriteria decision analysis for landslide susceptibility mapping: comparing three methods for the Urmia lake basin, Iran». En: Natural hazards 65, 2105-2128. Online: https://n9.cl/qlba92.
Gameiro, S., G. de Oliveira y L. Guasselli (2022). «The influence of sampling on landslide susceptibility mapping using artificial neural networks». En: Geocarto International, 1-23. Online: https://n9.cl/qiex9x.
Gobierno Cantonal de Pastaza (2020). Plan de Desarrollo y Ordenamiento Territorial del cantón Pastaza 2020-2030. Gobierno Cantonal de Pastaza.
Gobierno Provincial de Napo (2020). Plan de Desarrollo y Ordenamiento Territorial Napo 2020-2023. Gobierno Provincial de Napo.
Gudiyangada Nachappa, T. y col. (2020). «Comparison and validation of per-pixel and objectbased approaches for landslide susceptibility mapping». En: Geomatics, Natural Hazards and Risk 11.1, 572-600. Online: https://n9.cl/bxnw9.
Guevara, M. de J., N. Carbajal y J. Tuxpan Vargas (2020). «Soil deterioration in the southern Chihuahuan Desert caused by agricultural practices and meteorological events». En: Journal of Arid Environments 176, 104097. Online: https://n9.cl/j313s.
Guillen, K. y col. (2022). «Landslide susceptibility analysis based on a semiquantitative method in the sierra-costa region, michoacán, mexico». En: Physical Geography 43.4, 463-486. Online: https://n9.cl/84ebbv.
Guzzetti, F. y col. (1999). «Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy». En: Geomorphology 31.1-4, 181-216. Online:
Hamza, T. y T. Raghuvanshi (2017). «GIS based landslide hazard evaluation and zonation– A case from Jeldu District, Central Ethiopia». En: Journal of King Saud University-Science 29.2, 151-165. Online: https://n9.cl/i8u6e.
Harris, I. y col. (2020). «Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset». En: Scientific data 7.1, 109. Online: https://n9.cl/6huao.
He, Y. y R. Beighley (2008). «GIS-based regional landslide susceptibility mapping: a case study in southern California». En: Earth Surface Processes and Landforms: The Journal of the British Geomorphological Research Group 33.3, 380-393. Online: https://n9.cl/977ea.
Hearn, G. y A. Hart (2019). «Landslide susceptibility mapping: a practitioner’s view». En: Bulletin of Engineering Geology and the Environment 78.8, 5811-5826. Online: https://n9.cl/kvril.
Hepdeniz, K. (2020). «Using the analytic hierarchy process and frequency ratio methods for landslide susceptibility mapping in Isparta-Antalya highway (D-685), Turkey». En: Arabian Journal of Geosciences 13.16, 795. Online: https://n9.cl/dzcxg.
Igwe, O. y col. (2020). «GIS-based gully erosion susceptibility modeling, adapting bivariate statistical method and AHP approach in Gombe town and environs Northeast Nigeria». En: Geoenvironmental Disasters 7, 1-16. Online: https://n9.cl/9d7nz.
Jamir, M. y col. (2022). «Landslide susceptibility mapping of Noklak Town, Nagaland, Northeast India using bivariate statistical method». En: Geological Journal 57.12, 5250-5264. Online: https://n9.cl/q0qdk.
Kincal, C. y H. Kayhan (2022). «A combined method for preparation of landslide susceptibility map in Izmir (Türkiye)». En: Applied Sciences 12.18, 9029. Online: https://n9.cl/u3cks.
Klimeš, J. y V. Rios Escobar (2010). «A landslide susceptibility assessment in urban areas based on existing data: an example from the Iguaná Valley, Medellín City, Colombia». En: Natural Hazards and Earth System Sciences 10.10, 2067-2079. Online: https://n9.cl/v4r15.
Komac, M. (2006). «A landslide susceptibility model using the analytical hierarchy process method and multivariate statistics in perialpine Slovenia». En: Geomorphology 74.1-4, 17-28. Online: https://n9.cl/gw7og.
Laraque, A. y col. (2004). «ediment Transfer through the fluvial system». En: vol. 288. IAHS. Cap. Sediment yields and erosion rates in the Napo River Basin: an Ecuadorian Andean Amazon tributary, 220-225. Online: https://bit.ly/irPY.
Lee, S. y K. Min (2001). «Statistical analysis of landslide susceptibility at Yongin, Korea». En: Environmental Geology 40.9, 1095-1113. Online: https://bit.ly/3tzABol.
Mallick, J. y col. (2018). «GIS-based landslide susceptibility evaluation using fuzzy-AHP multicriteria decision-making techniques in the Abha Watershed, Saudi Arabia». En: Environmental Earth Sciences 77, 1-25. Online: https://n9.cl/uuy8p.
Mansouri Daneshvar, M. (2014). «Landslide susceptibility zonation using analytical hierarchy process and GIS for the Bojnurd region, northeast of Iran». En: Landslides 11.6, 1079-1091. Online: https://n9.cl/2azojx.
Ministerio del Ambiente de Ecuador (2014). Sistema de Clasificación de Ecosistemas del Ecuador Continental. Ministerio del Ambiente de Ecuador.
Nguyen, V. y col. (2019). «Hybrid machine learning approaches for landslide susceptibility modeling ». En: Forests 10.2, 157. Online: https://n9.cl/2i4cc.
Nhu, V. y col. (2020). «Shallow landslide susceptibility mapping: A comparison between logistic model tree, logistic regression, naïve bayes tree, artificial neural network, and support vector machine algorithms». En: International journal of environmental research and public health 17.8, 2749. Online: https://n9.cl/am82bp.
Nicu, I. y A. As andulesei (2018). «GIS-based evaluation of diagnostic areas in landslide susceptibility analysis of Bahluiet, River Basin (Moldavian Plateau, NE Romania). Are Neolithic sites in danger? » En: Geomorphology 314, 27-41. Online: https://n9.cl/71hsz.
Nilsen, T. y col. (1979). Relative slope stability and land-use planning. Selected examples from the San Francisco Bay region, California. Ministerio del Ambiente de Ecuador.
Obras Públicas Ecuador (2022). Trabajamos con maquinaria y personal en coordinación con @GadPastaza y GAD de Santa Clara debido a un deslizamiento en el sector.
Okoli, J. y col. (2023). «High-Resolution Lidar- Derived DEM for Landslide Susceptibility Assessment Using AHP and Fuzzy Logic in Serdang, Malaysia». En: Geosciences 13.2, 34. Online: https://n9.cl/43tlc.
Orejuela, I. y T. Toulkeridis (2020). «Evaluation of the susceptibility to landslides through diffuse logic and analytical hierarchy process (AHP) between Macas and Riobamba in Central Ecuador». En: 2020 Seventh International Conference on eDemocracy y eGovernment (ICEDEG), págs. 201-207.
Ortiz, J. y A. Martínez-Graña (2018). «A neural network model applied to landslide susceptibility analysis (Capitanejo, Colombia) ». En: Geomatics, Natural Hazards&Risk 9.1, 1106-1128. Online: https://n9.cl/hg8r7.
Ozdemir, A. (2020). «A comparative study of the frequency ratio, analytical hierarchy process, artificial neural networks and fuzzy logic methods for landslide susceptibility mapping: Ta¸skent (Konya), Turkey». En: Geotechnical and Geological Engineering 38, 4129-4157. Online: https://n9.cl/w77582.
Ozturk, D. y N. Uzel-Gunini (2022). «Investigation of the effects of hybrid modeling approaches, factor standardization, and categorical mapping on the performance of landslide susceptibility mapping in Van, Turkey». En: Natural Hazards 114.3, 2571-2604. Online: https://n9.cl/f0ct7.
Panchal, S. y A. Shrivastava (2020). «Application of analytic hierarchy process in landslide susceptibility mapping at regional scale in GIS environment ». En: Journal of Statistics and Management Systems 23.2, 199-206. Online: https://n9.cl/7uzpk.
Panchal, S. y A. Shrivastava (2022). «Landslide hazard assessment using analytic hierarchy process (AHP): A case study of National Highway 5 in India». En: Ain Shams Engineering Journal 13.3, 101626. Online: https://n9.cl/b2pkh.
Pham, Q. y col. (2021). «A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping». En: Geomatics, Natural Hazards and Risk 12.1, 1741-1777. Online: https://n9.cl/719xzd.
Pourghasemi, H., B. Pradhan y C. Gokceoglu (2012). «Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran». En: Natural hazards 63, 965-996. Online: https://n9.cl/l2h6a.
Pourghasemi, H. y col. (2018). «Analysis and evaluation of landslide susceptibility: a review on articles published during 2005–2016 (periods of 2005-2012 and 2013-2016) ». En: Arabian Journal of Geosciences 11, 1-12. Online: https://n9.cl/06bsn.
Raghuvanshi, T., J. Ibrahim y D. Ayalew (2014). «Slope stability susceptibility evaluation parameter (SSEP) rating scheme–an approach for landslide hazard zonation». En: Journal of African Earth Sciences 99, 595-612. Online: https://n9.cl/zxw0it.
Rivadeneira, F. y col. (2007). Breves fundamentos sobre los terremotos en el Ecuador. Corporación Editora Nacional.
Roccati, A. y col. (2021). «GIS-based landslide susceptibility mapping for land use planning and risk assessment». En: Land 10.2, 162. Online: https://n9.cl/oke3i.
Roy, J. y S. Saha (2019). «Landslide susceptibility mapping using knowledge driven statistical models in Darjeeling District, West Bengal, India». En: Geoenvironmental Disasters 6.1, 1-18. Online: https://n9.cl/ro35j.
Saaty, Thomas L. (1977). «A scaling method for priorities in hierarchical structures». En: Journal of mathematical psychology 15.3, 234-281. Online: https://n9.cl/zvwbr.
Saaty, Thomas L (1990). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. Analytic hierarchy process series. RWS Publications.
Salcedo, D. y col. (2022). «Smart City Planning Based on Landslide Susceptibility Mapping Using Fuzzy Logic and Multi-criteria Evaluation Techniques in the City of Quito, Ecuador». En: Doctoral Symposium on Information and Communication Technologies - DSICT, págs. 89-103.
Salehpour Jam, A. y col. (2021). «GIS-based landslide susceptibility mapping using hybrid MCDM models». En: Natural Hazards 108, 1025-1046. Online: https://n9.cl/in8wa.
Secretaría Técnica de la Circunscripción Territorial Especial Amazónica (2021). Plan Integral para la Amazonía 2021-203. Secretaría Técnica de la Circunscripción Territorial Especial Amazónica.
Servicio Nacional de Gestión de Riesgos y Emergencias (2022a). Informe Nro. 136 - Época lluviosa del 01 de enero al 22 de julio de 2022. Inf. téc. Servicio Nacional de Gestión de Riesgos y Emergencias.
Servicio Nacional de Gestión de Riesgos y Emergencia (2022b). Informe de Situación No. 45 – Época lluviosa a nivel Nacional - cierre. Inf. téc. Servicio Nacional de Gestión de Riesgos y Emergencias.
Soeters, R. y C. VanWesten (1996). «Slope instability recognition, analysis and zonation». En: Landslides: investigation and mitigation 247, 129-177. Online: https://n9.cl/vma1z.
Sonker, I., J. Tripathi y A. Singh (2021). «Landslide susceptibility zonation using geospatial technique and analytical hierarchy process in Sikkim Himalaya». En: Quaternary Science Advances 4, 100039. Online: https://n9.cl/czyzla.
Teši´c, D. y col. (2020). «Landslide susceptibility mapping using AHP and GIS weighted overlay method: a case study from Ljig, Serbia». En: Serbian Journal of Geosciences 6.1, 9-21. Online: https://n9.cl/h2k7n.
Van Westen, C. (1997). «ILWIS Applications Guide ». En: The International Institute for Aerospace Survey y Earth Sciences. Cap. Statistical landslide hazard analysis, págs. 73-84.
Varnes, D. e International Association of Engineering Geology (2021). Landslide hazard zonation: a review of principles and practice. Unesco.
Vásquez J. y Estrada, M. (2023). «A comparative study of the bivariate statistical methods and the Analytical Hierarchical Process for the assessment of mass movement susceptibility. A case study: The LM-116 Road-Peru». En: Rudarsko-geološko-naftni zbornik 38.1, 149-166. Online: https://n9.cl/u17f0.
Wang, Z. y col. (2022). «Refined zoning of landslide susceptibility: a case study in Enshi County, Hubei, China». En: International journal of environmental research and public health 19.15, 9412. Online: https://n9.cl/kwqq4.
Wieczorek, G. (1984). «Preparing a detailed landslide-inventory map for hazard evaluation and reduction». En: Bulletin of the Association of Engineering Geologists 21.3, 337-342. Online: https://n9.cl/d0l2y.
Williams, C. y col. (1999). «A comparison of statistical methods for prenatal screening for Down syndrome». En: Applied Stochastic Models in Business and Industry 15.2, 89-101. Online: https://n9.cl/38to7.
Wubalem, A. y M. Meten (2020). «Landslide susceptibility mapping using information value and logistic regression models in Goncha Siso Eneses area, northwestern Ethiopia». En: SN Applied Sciences 2, 1-19. Online: https://n9.cl/pg3ik.
Zhou, S., S. Zhou y X. Tan (2020). «Nationwide susceptibility mapping of landslides in Kenya using the fuzzy analytic hierarchy process model». En: Land 9.12, 535. Online: https://n9.cl/a1cjp.
Zumpano, V. y col. (2014). «A landslide susceptibility analysis for Buzau County, Romania». En: Rev. Roum. Géogr./Rom. Journ. Geogr 58.1, 9-16. Online: https://n9.cl/ten7t.