Ensemble of ground subsidence hazard maps using fuzzy logic

Park, Inhye; Lee, Jiyeong; Lee, Saro

doi:10.2478/s13533-012-0175-y

Cited by 45 publications

(32 citation statements)

References 41 publications

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“…fuzzy approach to ground subsidence mapping (Choi et al 2010), and various statistical and artificial neural network methods (Oh and Lee 2011;Guo et al 2011;Lee and Park 2013;Mathey 2013;Park et al 2014). These studies focus predominately on horizontal, single coal seam cases and in none of them, thickness, inclination of exploited coal panels and mining system factors have been considered.…”

Section: Gwr Model Resultsmentioning

confidence: 99%

“…The relations were then used as factor ratings in GIS overlay analysis to create ground subsidence hazard indices and maps. In another study in Korea, Lee and Park (2013) and Park et al (2014) have analysed land subsidence hazard caused by abandoned underground mines using the decision tree approach and factors that can influence subsidence in a geographic information system (GIS). They have produced and verified land subsidence hazard maps for the study site.…”

Section: Introductionmentioning

confidence: 99%

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Application of GIS spatial regression methods in assessment of land subsidence in complicated mining conditions: case study of the Walbrzych coal mine (SW Poland)

Blachowski

2016

Nat Hazards

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Land subsidence in the area of the city of Walbrzych (SW Poland) has been a consequence of underground mining of hard coal. Exploitation of multiseam deposit took place for several 100 years and ended in the late 90'ties of the twentieth century. During this time, many buildings and constructions were affected by subsidence-related damages and new landforms including mining waste dumps have developed on the surface in a consequence of underground extraction of coal. Previous studies indicated that cumulative subsidence calculated with the empirical Knothe theory reached -22 m, whereas calculations based on results of cartographic data processing showed more than -30 m (± 3 m) pointing to insufficient reliability of traditional methods when applied in complex and complicated conditions (multiseam and steeply inclined deposits). Present-day height of manmade landforms in areas affected by subsidence reaches 63 m (± 3 m). Therefore, in the presented research, a weighted spatial regression method has been proposed for analysis and modelling of mining induced land subsidence. The study concerned the former Walbrzych coal mine area and the 1886-2009 period. The subsidence modelling has been done in geographic information systems with geographically weighted regression (GWR) method that allows for spatial variability of subsidence factors. Four, out of the analysed seven, subsidence factors were identified as significant (thickness, inclination and depth of coal levels and surface slope) and used as independent (explanatory) variables in construction of the subsidence model with the GWR method. The validated model was used to estimate subsidence in up to now unmapped areas transformed by manmade landforms. The maximum predicted subsidence in these parts for the 1886-2009 period reaches -10.5 m. In the result, a spatial representation (hybrid map) of subsidence for the entire Walbrzych coal mine has been produced.

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Section: Gwr Model Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of GIS spatial regression methods in assessment of land subsidence in complicated mining conditions: case study of the Walbrzych coal mine (SW Poland)

Blachowski

2016

Nat Hazards

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“…2). The fuzzy relations can be easily incorporated into geographic information systems (GIS) and the sensitivity values can be calculated on pixel basis, therefore it is effective for comparing the results with other sites [57].…”

Section: Calculation Of Sensitivity Mapsmentioning

confidence: 99%

Assessment of future scenarios for wind erosion sensitivity changes based on ALADIN and REMO regional climate model simulation data

et al. 2016

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Abstract:The changes in rate and pattern of wind erosion sensitivity due to climate change were investigated for 2021-2050 and 2071-2100 compared to the reference period in Hungary. The sensitivities of the main influencing factors (soil texture, vegetation cover and climate factor) were evaluated by fuzzy method and a combined wind erosion sensitivity map was compiled. The climate factor, as the driving factor of the changes, was assessed based on observed data for the reference period, while REMO and ALADIN regional climate model simulation data for the future periods. The changes in wind erosion sensitivity were evaluated on potentially affected agricultural land use types, and hot spot areas were allocated. Based on the results, 5-6% of the total agricultural areas were high sensitive areas in the reference period. In the 21st century slight or moderate changes of wind erosion sensitivity can be expected, and mostly 'pastures', 'complex cultivation patterns', and 'land principally occupied by agriculture with significant areas of natural vegetation' are affected. The applied combination of multi-indicator approach and fuzzy analysis provides novelty in the field of land sensitivity assessment. The method is suitable for regional scale analysis of wind erosion sensitivity changes and supports regional planning by allocating priority areas where changes in agro-technics or land use have to be considered.

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“…Because of unavailable or inaccurate information with respect to other natural risks [30][31][32][33] assessment of dismissed mines demands for approaches based on simplifying assumptions for the quanti cation of risk [34].…”

Section: Introductionmentioning

confidence: 99%

The risk of collapse in abandoned mine sites: the issue of data uncertainty

et al. 2016

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Abstract:Ground collapses over abandoned underground mines constitute a new environmental risk in the world. The high risk associated with subsurface voids, together with lack of knowledge of the geometric and geomechanical features of mining areas, makes abandoned underground mines one of the current challenges for countries with a long mining history. In this study, a stability analysis of Montevecchia marl mine is performed in order to validate a general approach that takes into account the poor local information and the variability of the input data. The collapse risk was evaluated through a numerical approach that, starting with some simplifying assumptions, is able to provide an overview of the collapse probability. The nal results is an easy-accessible-transparent summary graph that shows the collapse probability. This approach may be useful for public administrators called upon to manage this environmental risk. The approach tries to simplify this complex problem in order to achieve a roughly risk assessment, but, since it relies on just a small amount of information, any nal user should be aware that a comprehensive and detailed risk scenario can be generated only through more exhaustive investigations.

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Ensemble of ground subsidence hazard maps using fuzzy logic

Cited by 45 publications

References 41 publications

Application of GIS spatial regression methods in assessment of land subsidence in complicated mining conditions: case study of the Walbrzych coal mine (SW Poland)

Application of GIS spatial regression methods in assessment of land subsidence in complicated mining conditions: case study of the Walbrzych coal mine (SW Poland)

Assessment of future scenarios for wind erosion sensitivity changes based on ALADIN and REMO regional climate model simulation data

The risk of collapse in abandoned mine sites: the issue of data uncertainty

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