The third spatial dimension risk approach for individual risk and group risk in multiple use of space

Suddle, S.I.; Ale, B.J.M.

doi:10.1016/j.jhazmat.2005.04.024

Cited by 11 publications

(5 citation statements)

References 7 publications

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“…The area of the city is 38.8 km 2 , which means that the city's territory is quite densely inhabited. The average population density is ca 2600 inhabitants per square kilometre.…”

Section: Risk Assessment In Tartumentioning

confidence: 99%

“…The consequences of unwanted events are spatially distributed, depending on multiple hazard and safety factors: the character of the risk source, the pathways of hazard factors, the vulnerability of specific objects and systems, protective barriers etc. Population growth has made land scarcer, especially in urban areas, which leads to ever more intensive use of available space [2] and an increasing likelihood of adverse interactions and impacts.…”

Section: Introductionmentioning

confidence: 99%

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Aspects of risk assessment in land use planning: the case study of Tartu

Tammepuu¹,

Sepp²,

Uiga³

2007

WIT Transactions on the Built Environment, Vol 94

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The purpose of this work was to analyse the problems connected with the risk assessment of emergency situations in Estonia and their relations with land use planning. The research was carried out on the basis of a case study: the preliminary risk assessment of Tartu, the second largest city of Estonia, conducted by the specialists of the Estonian University of Life Sciences.The Estonian Emergency Preparedness Act designates risk assessment as an important task of crisis management, on the basis of which all of the following measures should be planned and implemented. The act specifies two types of risk assessment, functional and territorial. The first involves the ministries and their areas of government, whereas the second concerns the counties and the largest cities and communities. The methodical basis of territorial risk assessment is established by special regulation of the Minister of the Interior. The regulation requires the determination and risk assessment of 15 (or more) different types of possible emergency situations. The outcomes of the risk assessments will serve as the basis for composing crisis management plans and spatial (land use) planning, concerning county plans, comprehensive plans, detailed plans, and also specific building projects.At present, the risk assessments of all of the counties and most of the largest cities in Estonia have been performed, but the possibilities for the application of the outcomes for spatial planning remain uncertain. Our intention was to select and group the scenarios of development of emergency situation in relation with land use and spatial planning, and to draw up proposals for specific planning activities. On the basis of their relations to city area, the 15 types of possible emergency hazards were divided into five groups, which were described and analysed separately. The conclusions concerned the opportunities for taking into consideration the results of risk assessment in planning and design procedures.

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“…The area of the city is 38.8 km 2 , which means that the city's territory is quite densely inhabited. The average population density is ca 2600 inhabitants per square kilometre.…”

Section: Risk Assessment In Tartumentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Aspects of risk assessment in land use planning: the case study of Tartu

Tammepuu¹,

Sepp²,

Uiga³

2007

WIT Transactions on the Built Environment, Vol 94

View full text Add to dashboard Cite

show abstract

“…The authors built a mathematical model to calculate radiation-related parameters and the 3D radiation risk distribution was obtained through computer simulations. Suddle and Ale [ 34 ] indicated that t height is a crucial parameter for the 3D risk assessment. Chemical facilities and instruments can also be analyzed better by 3D risk assessment [ 35 ].…”

Section: Introductionmentioning

confidence: 99%

Risk Field of Rock Instability using Microseismic Monitoringdata in Deep Mining

Dong

Zhu

Yan

et al. 2023

Sensors

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With the gradual depletion of surface resources, rock instability caused by deep high stressand mining disturbance seriously affects safe mining. To create effective risk management, a rockinstability risk field model using microseismic monitoring data is proposed in this study. Rockinstability risk was presented visually in 3D visualization. The in-situ microseismic monitoringdata was collected and analyzed to make calculation of peak ground velocity (PGV), peak groundacceleration (PGA), energy flux, energy and seismic moment. Indicator weights of PGV, PGA, energyflux are confirmed by using the analytic hierarchy process (AHP) to calculate risk severity. The Copulafunction is then used to solve the joint probability distribution function of energy and seismic moment.Then the spatial distribution characteristics of risk can be obtained by data fitting. Subsequently, thethree-dimensional (3D) risk field model was established. Meanwhile, the established risk field isverified by comparing monitoring data without disturbance and the blasting data with disturbance.It is suggested that the proposed risk field method could evaluate the regional risk of rock instabilityreasonably and accurately, which lays a theoretical foundation for the risk prediction and managementof rock instability in deep mining.

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“…Among these shortcomings, the lack of height parameters may affect the assessment results. Suddle and Ale indicated that height became an important parameter for regional risk assessments because different functions are layered in 3D space [ 6 , 7 ]. With the addition of height to regional risk assessments, 2D risk assessments were improved and a risk isosurface can be employed to evaluate risk in 3D space.…”

Section: Introductionmentioning

confidence: 99%

“…It is necessary and significant to develop 3D risk assessments because 3D risk assessments have practical advantages for regional risk assessments. Suddle and Ale proposed a comprehensive model for 3D risk assessments that involved calculations of isosurfaces with respect to individual risks and societal risks [ 7 ]. Yet-Pole and Cheng pointed out that CFD simulation can be integrated with 3D risk assessments [ 2 ].…”

Section: Introductionmentioning

confidence: 99%