Suchergebnisse

The need for smart sustainable urban solutions has never been greater than it is today. Master plan (MP) represents rather significant document for a city development and the City of Belgrade has a tradition and long history of development under MP framework (Djuric et al 2013). Current MP (Fig. 1), made by the Urban Planning Institute of Belgrade, has been adopted in 2003 and refers to the development period by the year of 2021 (http://www.urbel.com/default.aspx?ID=uzb_BG_planovi&LN=ENG). On the other hand the City of Belgrade is facing a rapid urban sprawl so suburbanization problem is particularly pronounced. Since MP is following the current needs of the city, active subjects of economic development as well as urban municipalities, there is strong initiative to expand its current extents for the suburb areas. Among other significant points of the MP, determination of the Land-Use Suitability (LUS) is considered to be one of the foremost planning references. LUS analysis is a tool used to define future land uses or their potential. Suitability techniques enable environmental managers, planners and engineers to analyze the interactions among various factors. Decision makers and developers can use the outputs to set policies and make decisions regarding the use of land. Contemporary environmental managers and planners are aware of the technological advancements in land-use allocation and suitability modelling. New methods of spatial analysis are now commonly used in the development of land-use plans, environmental impact reviews, and site selection studies for many different land uses and public and private facilities (Collins, 2001). The earliest applications of suitability analysis conducted by engineering geologists and civil engineers for Belgrade MP area, in form of hand-drawn sieve mapping overlays was done by Šutić et al. (1972). Later, numerous researchers performed similar suitability analysis for different purposes (urban planning, defining best/optimal road routes etc). First work involving suitability analysis in GIS environment has been done in 2009/2010 (Marjanović, 2009; Djurić, 2010), but none for Belgrade area. This paper introduces a new approach and represents in fact, a pioneering work performed for the City of Belgrade. It represents how available thematic data, processed in GIS environment, can be and was used for LUS assessment. One of the statistical methods involving the Conditional Probability (CP) approach with the Weight of Evidence technique, has been used. Conventional methods on the other hand, are still needed to validate the outcomes and to calibrate these GIS-based methods, which are still to be developed and perfected. There was a strong motif supporting this research, since in-charged City's government services have shown interest in extending the Master Plan (MP) to the Belgrade suburb areas.

The Third-year publication of the Open Access Book Series "Progress in Landslide Research and Technology" -- Part I: ICL Landslide Lesson -- Interpretation and mapping for the prediction of sites at risk of landslide disasters: from aerial photography to detection by DTMs -- Part II: Original Articles -- Observation of seismic ground motion and pore water pressure in lineated valley fill of Wakayama, southwest Japan -- Global warming may accelerate submarine landslides in the oceans -Possible disaster chain reactions -- Landslide hazard evaluation of a large waste landfill in Bogotá city -- Multiple Landslides in an Area Draped in Volcanic Matters: The Dual Impacts of Rains and Earthquakes -- Loess Landslides - Peculiarities of Deformation Mechanism -- Spatio-temporal distribution of rainfall-induced landslides in Nicaragua (2000-2022): Preliminary insights to communicate landslide disaster risk -- Emerging Seismicity Trends Linked to Catastrophic Landslides Behavior in Sri Lanka -- Centrifugemodeling of slopes subjected to groundwater flow and rainfall infiltration -- Evaluation of Assessment Models for Landslide Susceptibility Mapping in Permafrost Areas -- The slope monitoring using embedded system with optical-thermal image fusion and machine learning -- Sendai Framework Voluntary Commitments: Monitoring Landslide Stakeholders' Contributions -- Influence of intra-particle saturation ratio on strength degradation of pumice soil -- Regional debris flow hazard assessment of the Grdelica Gorge (Serbia) -- Introducing Japanese Landslide Warning and Evacuation System to Sri Lanka: Field Survey of Social Aspect in the Arayanake Area -- Towards An Optimization of Foundation Anchors of Landslide-resisting Flexible Barriers: Dynamic Pullout Resistance of Anchors -- Part III: Review Articles -- Global Promotion of Understanding and Reducing Landslide Disaster Risk: Two years on P-LRT -- Landslide prediction model based upon intelligent processing of multi‐point monitoring information: A review -- Mud-mark-based Estimations of Mass-wasting Processes Caused by the 2008 Iwate-Miyagi Nairiku Earthquake, Japan -- Assessment of the Structural Geological, Hydrogeological, and Geomorphological Relationships of the Athwelthota Landslide, Sri Lanka -- Part IV: IPL Projects, World Centres of Excellence on Landslide Risk Reduction, and Kyoto Landslide Commitment 2020 -- Increasing the local road network resilience from natural hazards in municipalities in Serbia -- Recent UL FGG contributions to the 2020 Kyoto Commitment -- The integrated Landslides Monitoring System of Gimigliano Municipality, Southern Italy -- Part V: Technical Notes and Case sturdies -- Assessing landslide distribution for landform hazard zoning purposes: A case study on the western flank of Iztaccíhuatl volcano, Puebla, México -- Identification of potential natural slope failure zones by geomorphological analyses using raster slope shading of LiDAR; case study from Kegalle, Sri Lanka -- Assessing the potential rapidand long travelling landslides in Sri Lanka – A case study of Athwelthota landslide -- Experimental Study on Residual Shear Strength of Soil Using Undrained Ring Shear Apparatus -- Part VI: World Landslide Reports -- Physical mechanism and numerical simulation of landslide dam formation -- An integration of the Fractal method and the Statistical Index method for mapping landslide susceptibility.