A fully automated and integrated multi-scale forecasting scheme for emergency preparedness

Akbar, Muhammad; Aliabadi, Shahrouz; Patel, Reena; Watts, Marvin

doi:10.1016/j.envsoft.2011.12.006

Cited by 32 publications

(15 citation statements)

References 23 publications

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“…For instance, for optimising the coverage of mobile radio signal coverage (i.e., to optimise the network to cover more people) [340], and emergency response for aid delivery and evacuation [341] (e.g., by estimating the affected population by a flooding [342]). …”

Section: Estimating the Population In An Areamentioning

confidence: 99%

Applications of 3D City Models: State of the Art Review

Biljecki

Stoter

Ledoux

et al. 2015

IJGI

630

380

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In the last decades, 3D city models appear to have been predominantly used for visualisation; however, today they are being increasingly employed in a number of domains and for a large range of tasks beyond visualisation. In this paper, we seek to understand and document the state of the art regarding the utilisation of 3D city models across multiple domains based on a comprehensive literature study including hundreds of research papers, technical reports and online resources. A challenge in a study such as ours is that the ways in which 3D city models are used cannot be readily listed due to fuzziness, terminological ambiguity, unclear added-value of 3D geoinformation in some instances, and absence of technical information. To address this challenge, we delineate a hierarchical terminology (spatial operations, use cases, applications), and develop a theoretical reasoning to segment and categorise the diverse uses of 3D city models. Following this framework, we provide a list of identified use cases of 3D city models (with a description of each), and their applications. Our study demonstrates that 3D city models are employed in at least 29 use cases that are a part of more than 100 applications. The classified inventory could be useful for scientists as well as stakeholders in the geospatial industry, such as companies and national mapping agencies, as it may serve as a reference document to better position their operations, design product portfolios, and to better understand the market.

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Section: Estimating the Population In An Areamentioning

confidence: 99%

Applications of 3D City Models: State of the Art Review

Biljecki

Stoter

Ledoux

et al. 2015

IJGI

630

380

View full text Add to dashboard Cite

show abstract

“…From the perspective of the real world, multiple geographic processes are significantly interacted to shape patterns and phenomenon, such as emergency planning, which is conducted based on the modeling of hurricane forecasting, storm surge, overland flooding (Akbar et al, 2013). This complex interaction is the motivation for integrated modeling, particularly for researchers in different disciplines (Argent and Houghton, 2001;Parker et al, 2002;Randhir and Raposa, 2014).…”

Section: Integrated Modeling and Main Issuesmentioning

confidence: 99%

“…Thus, they can only be observed on corresponding scales and conclusions based on one scale may not be applicable to another scale (Perveen and James, 2010;Wilbanks and Kates, 1999). As a result, multiscale integrated simulation technology is developed to obtain holistic cognition (Akbar et al, 2013). 4.1.2.1.…”

Section: Multiscale Modelingmentioning

confidence: 99%

What's going on about geo-process modeling in virtual geographic environments (VGEs)

Zhang

Chen

et al. 2016

Ecological Modelling

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“…In more detail, WRF was designed to be a flexible atmospheric simulation system in order to study numerically based weather prediction, regional climate, air quality, regional hydrology and water resources [53,54]. The model had numerous options for various physical processes, including a planetary boundary layer scheme, land-surface models, etc.…”

Section: Meteorological and Air Quality Modelsmentioning

confidence: 99%

Design of a Model Base Framework for Model Environment Construction in a Virtual Geographic Environment (VGE)

Zhang

Zheng

et al. 2017

IJGI

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Abstract:The model environment is a key component that enables a virtual geographic environment (VGE) to meet the scientific requirements for simulating dynamic phenomena and performing analyses. Considering the comprehensiveness of geographic processes and the requirements for the replication of model-based research, this paper proposes a model base framework for a model environment of a VGE that supports both model construction and modelling management, resulting in improved reproducibility. In this framework, model management includes model metadata, creation, deposition, encapsulation, integration, and adaptation; while modelling management focuses on invoking the model, model computation, and runtime control of the model. Based on this framework, to consider the problem of ever-worsening air quality, we applied the Linux-Apache-MySQL-Perl stack plus Supervisor to implement the model base to support a VGE prototype using professional meteorological and air quality models. Using this VGE prototype, we simulated a typical air pollution case for January 2010. The prototype not only illustrates how a VGE application can be built on the proposed model base, but also facilitates air quality simulations and emergency management.

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A fully automated and integrated multi-scale forecasting scheme for emergency preparedness

Cited by 32 publications

References 23 publications

Applications of 3D City Models: State of the Art Review

Applications of 3D City Models: State of the Art Review

What's going on about geo-process modeling in virtual geographic environments (VGEs)

Design of a Model Base Framework for Model Environment Construction in a Virtual Geographic Environment (VGE)

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