Maramureş Land is mostly characterized by agricultural and forestry land use due to its specific configuration of topography and its specific pedoclimatic conditions. Taking into consideration the trend of the last century from the perspective of land management, a decrease in the surface of agricultural lands to the advantage of built-up and grass lands, as well as an accelerated decrease in the forest cover due to uncontrolled and irrational forest exploitation, has become obvious. The field analysis performed on the territory of Maramureş Land has highlighted a high frequency of two geomorphologic processes — landslides and soil erosion — which have a major negative impact on land use due to their rate of occurrence. The main aim of the present study is the GIS modeling of the two geomorphologic processes, determining a state of vulnerability (the USLE model for soil erosion and a quantitative model based on the morphometric characteristics of the territory, derived from the HG. 447/2003) and their integration in a complex model of cumulated vulnerability identification. The modeling of the risk exposure was performed using a quantitative approach based on models and equations of spatial analysis, which were developed with modeled raster data structures and primary vector data, through a matrix highlighting the correspondence between vulnerability and land use classes. The quantitative analysis of the risk was performed by taking into consideration the exposure classes as modeled databases and the land price as a primary alphanumeric database using spatial analysis techniques for each class by means of the attribute table. The spatial results highlight the territories with a high risk to present geomorphologic processes that have a high degree of occurrence and represent a useful tool in the process of spatial planning.
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AGS (Australian Geomechanics Society Subcommitte on Landslide Risk Management) (2000). Landslide Risk Management Concepts and Guidelines. Australian Geomechanics, 35(1): 49–92
Armaş I (2011). An analytic multicriteria hierarchical approach to assess landslide vulnerability. Case study: Cornu Village, Subcarpathian Prahova Valley/Romania. Z Geomorphol, 55(2): 209–229
Bilaşco Şt., Horvath C, Cocean P, Sorocovschi V, Oncu M (2009). Implementation of the USLE model using GIS techniques. Case study the Somesean Plateau. Carpath J Earth Environ Sci, 4(2): 123–132
Bilaşco Şt., Horvath C, Roşian G, Filip S, Keller I E (2011). Statistical model using GIS for the assessment of landslide susceptibility. Casestudy: the Somes plateau. Rom Journ Geogr, 55(2): 91–101
Carrara A, Cardinali M, Guzzetti F (1992). Uncertainty in assessing landslide hazard and risk. ITC J, (2): 172–183
Corominas J (2008). Framework for Landslide Quantitative Risk Assessment. Intensive Course on QRA, Civil Engineering School of Barcelona, Technical University of Catalonia
Cutter S (2001). A research agenda for vulnerability and environmental hazards. IHDP Newsletter Update 2, Article 3
Dârja M, Budiu V, Tripon D, Pacurar I, Neag V (2002). Erosion by water and its impact on the enviroment. Cluj Napoca, Romania: Risoprint (in Romanian)
Fell R (1994). Landslide risk assessment and acceptable risk. Can Geotech J, 31(2): 261–272
Fell R, Corominas J, Bonnard C, Cascini L, Leroi E, Savage W (2008). Guidelines for landslide susceptibility, hazard, and risk zoning for land use planning. Eng Geol, 102(3–4): 85–98
Furtuna P (2017). Temporal and spatial variation of forest coverage in Apuseni Matural Park, 2000–2014 period. Geographia Technica, 12 (1): 46–56
Ilies G (2007). Country of Maramures. Study of regional geography. Cluj Napoca: Presa Universitara Clujeana (in Romanian)
Ionita I (2000). Applied Geomorphology. Processes of degradation of hilly lands. Editura Univ. “Al. I. Cuza”, Iasi: Al. I. Cuza Publishing House (in Romanian)
Long M H, John J I (1993). Risk-based Emergency Response. Paper presented at the ER93 conference on the practical approach to hazardous substances accidents. St. John, New Brunswick, Canada
Marzocchi W, Mastellone M L,Di Ruocco, Novelli A, Romeo P, Gasparini P (2009). Principle of multi-risk assessment, research performed in the frame of Na.R.As (Natural Risks Assessment) FP6 SSA Project No. 511264, Napoli, Italia
Micu M, Balteanu D (2009). Landslide hazard assessment in the Curvature Carpathias and Subcarpathians, Romania. Z Geomorphol, 53(2): 31–47
Mitasova H, Mitas L, Brown W M, Johnston D (1998). Multidimensional Soil Erosion/Deposition Modeling and Visualization Using GIS. Final report for USA CERL. University of Illinois, Urbana-Champaign. Online tutorial
Morgan R P C, Quinton J N, Smith R E, Govers G, Poesen J W A, Auerswald K, Cnisci G, Torri D (1998). The EUROSEM model. In: Boardman J B, Favis-Mortlock D, eds. Global Change: Modelling Soil Erosion by Water, NATO ASI series, Series 1: Global Environmental Change. London: Springer Verlag, 373–382
Motoc M, Sevastel M (1979). Assessment of factors that determine the risk of water erosion in the surface. Bucuresti: Bren (in Romanian)
Motoc M, Sevastel M (2002). Assessment of factors that determine the risk of water erosion in the surface. Bucuresti: Bren (in Romanian)
Motoc M, Stanescu P, Luca Al, Popescu C N (1973). Instructions on the studies and calculations required to design soil erosion control work. Redactia Revistelor Agricole, Bucuresti (in Romanian)
Motoc M, Stanescu P, Taloescu I (1979). Current conception of the erosion phenomenon and its control. Bilbioteca Agricola. Bucuresti (in Romanian)
Patriche C V, Capatâna V, Stoica D (2006). Aspects regarding soil erosion spatial modeling using the USLE/RUSLE equation within GIS. Geographia Technica, 2: 87–97
Petrea D, Bilasco St., Rosca S, Vescan I, Fodorean I (2014). The determination of the Landslide occurence probability by spatial analysis of the Land Morphometric characteristics (case study: the Transylvanian Plateau). Carpath J Environ Sci, 9: 91–110
Radoane M, Radoane N (2006). Applied Geomorphology. Suceava: Universitatii Pulishing House (in Romanian)
Rosca S (2015). Niraj Basin Study of Applied Geomorphology. Cuj Napoca: Risoprint (in Romanian)
Rosca S, Bilasco St, Petrea D, Vescan I, Fodorean I (2016). Comparative assessment of landslide susceptibility. Case study: the Niraj river basin (Transylvania depression, Romania). Geomatics Nat Hazards Risk, 7(3): 1043–1064
Rosca S, Bilasco St, Petrea D, Vescan I, Fodorean I, Filip S (2015). Application of landslide hazard scenarios at annual scale in the Niraj River basin (Transylvania Depression, Romania). Nat Hazards, 77: 1573
Singh R, Phadke V S (2006). Assessing soil loss by water erosion in Jamni river basin, Bundelkhand region, India, adopting universal soil loss equation using GIS. Curr Sci, 90: 1431–1435
Varnes D J (1984). Landslide hazard zonation: a review of principales and practice. Paris: UNESCO
Wischmeier W H, Smith D D (1965). Predicting rainfall-erosion losses from cropland east of the Rocky Mountains. Agr. Handbook No. 282, U.S. Dept. Agr., Washington, DC
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Ştefan, B., Sanda, R., Ioan, F. et al. Quantitative evaluation of the risk induced by dominant geomorphological processes on different land uses, based on GIS spatial analysis models. Front. Earth Sci. 12, 311–324 (2018). https://doi.org/10.1007/s11707-017-0679-3