scholarly journals Open data repositories and Geo Small Data for mapping the wildfire risk exposure in wildland urban interface (WUI) in Spain: A case study in the Valencian Region

2021 ◽  
Vol 22 ◽  
pp. 100500
Author(s):  
José Tomás Navarro-Carrión ◽  
Paul León-Cadena ◽  
Alfredo Ramon-Morte
Keyword(s):  
Open Data ◽  
Risk Exposure ◽  
Small Data ◽  
Wildland Urban Interface ◽  
Data Repositories ◽  
Wildfire Risk ◽  
Valencian Region

Climate change and wildfire risk in an expanding wildland–urban interface: a case study from the Colorado Front Range Corridor

2015 ◽  
Vol 30 (10) ◽  
pp. 1943-1957 ◽  
Author(s):  
Zhihua Liu ◽  
Michael C. Wimberly ◽  
Aashis Lamsal ◽  
Terry L. Sohl ◽  
Todd J. Hawbaker
Keyword(s):  
Climate Change ◽  
Colorado Front Range ◽  
Front Range ◽  
Wildland Urban Interface ◽  
Wildfire Risk

scholarly journals Usability of IoT and Open Data Repositories for Analyzing Water Pollution. A Case Study in the Czech Republic

2020 ◽  
Vol 9 (10) ◽  
pp. 591
Author(s):  
Jan Pavlík ◽  
Markéta Hrnčírová ◽  
Michal Stočes ◽  
Jan Masner ◽  
Jiří Vaněk
Keyword(s):  
Water Management ◽  
Water Pollution ◽  
Czech Republic ◽  
Open Data ◽  
Capital City ◽  
Data Repositories ◽  
The Czech Republic ◽  
The Public ◽  
The Impact

Recently, the process of data opening has intensified, especially thanks to the involvement of many institutions that have not yet shared their data. Some entities provided data to the public long before the trend of open data was pushed to a wider level, but many institutions have only engaged in this process recently thanks to a systemic state-level effort to make data repositories available to the public. Therefore, there are many new potential sources of data available for research, including the area of water management. This article analyses the current state of available data in the Czech Republic—their content, structure, format, availability, costs and other indicators that affect the usability of these data for independent researchers in the area of water management. The case study was conducted to ascertain the levels of accessibility and usability of data in open data repositories and the possibilities of obtaining data from IoT (Internet of Things) devices such as networked sensors where required data is either not available from existing sources, too costly, or otherwise unsuitable for the research. The goal of the underlying research was to assess the impact/ratio of various watershed factors based on monitored indicators of water pollution in a model watershed. Such information would help propose measures for reducing the volume of pollution resulting in increased security in terms of available drinking water for the capital city Prague.

Mapping Queries to the Linking Open Data Cloud: A Case Study Using DBpedia

2011 ◽  
Author(s):  
Edgar Meij ◽  
Marc Bron ◽  
Laura Hollink ◽  
Bouke Huurnink ◽  
Maarten de Rijke
Keyword(s):  
Open Data

Pig production and risk exposure: A case study in Hung Yen, Vietnam

2016 ◽  
Vol 04 ◽  
pp. 95
Author(s):  
Huyen, N.T.T. ◽  
Hung, P.V.
Keyword(s):  
Risk Exposure ◽  
Pig Production

scholarly journals A Comparative Analysis of Two Major Approaches for Mapping the Wildland-Urban Interface: A Case Study in California

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 679
Author(s):  
Avi Bar-Massada
Keyword(s):  
At Risk ◽  
Comparative Analysis ◽  
Spatial Patterns ◽  
Practical Purpose ◽  
Spatial Arrangement ◽  
Spatial Accuracy ◽  
Wildland Urban Interface ◽  
Spatial Correspondence ◽  
Data Requirements

The Wildland Urban Interface (WUI) is where human settlements border or intermingle with undeveloped land, often with multiple detrimental consequences. Therefore, mapping the WUI is required in order to identify areas-at-risk. There are two main WUI mapping methods, the point-based approach and the zonal approach. Both differ in data requirements and may produce considerably different maps, yet they were never compared before. My objective was to systematically compare the point-based and the zonal-based WUI maps of California, and to test the efficacy of a new database of building locations in the context of WUI mapping. I assessed the spatial accuracy of the building database, and then compared the spatial patterns of WUI maps by estimating the effect of multiple ancillary variables on the amount of agreement between maps. I found that the building database is highly accurate and is suitable for WUI mapping. The point-based approach estimated a consistently larger WUI area across California compared to the zonal approach. The spatial correspondence between maps was low-to-moderate, and was significantly affected by building numbers and by their spatial arrangement. The discrepancy between WUI maps suggests that they are not directly comparable within and across landscapes, and that each WUI map should serve a distinct practical purpose.

scholarly journals Neighbourhood Modelling for Urban Sustainability Assessment

2021 ◽  
Vol 13 (9) ◽  
pp. 4654
Author(s):  
Javier Orozco-Messana ◽  
Milagro Iborra-Lucas ◽  
Raimon Calabuig-Moreno
Keyword(s):  
Sustainable Development ◽  
Impact Assessment ◽  
Urban Policy ◽  
Sustainability Assessment ◽  
Open Data ◽  
Policy Impact ◽  
Physical Parameters ◽  
Data Repositories ◽  
Digital Twins ◽  
Climate Action

Climate change is becoming a dominant concern for advanced countries. The Paris Agreement sets out a global framework whose implementation relates to all human activities and is commonly guided by the United Nations Sustainable Development Goals (UN SDGs), which set the scene for sustainable development performance configuring all climate action related policies. Fast control of CO2 emissions necessarily involves cities since they are responsible for 70 percent of greenhouse gas emissions. SDG 11 (Sustainable cities and communities) is clearly involved in the deployment of SDG 13 (Climate Action). European Sustainability policies are financially guided by the European Green Deal for a climate neutral urban environment. In turn, a common framework for urban policy impact assessment must be based on architectural design tools, such as building certification, and common data repositories for standard digital building models. Many Neighbourhood Sustainability Assessment (NSA) tools have been developed but the growing availability of open data repositories for cities, together with big-data sources (provided through Internet of Things repositories), allow accurate neighbourhood simulations, or in other words, digital twins of neighbourhoods. These digital twins are excellent tools for policy impact assessment. After a careful analysis of current scientific literature, this paper provides a generic approach for a simple neighbourhood model developed from building physical parameters which meets relevant assessment requirements, while simultaneously being updated (and tested) against real open data repositories, and how this assessment is related to building certification tools. The proposal is validated by real data on energy consumption and on its application to the Benicalap neighbourhood in Valencia (Spain).

Quantitative risk assessment of storm surge using GIS techniques and open data: A case study of Daya Bay Zone, China

2021 ◽  
Vol 289 ◽  
pp. 112514
Author(s):  
Si Wang ◽  
Lin Mu ◽  
Mengnan Qi ◽  
Zekun Yu ◽  
Zhenfeng Yao ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Storm Surge ◽  
Open Data ◽  
Quantitative Risk Assessment ◽  
Daya Bay ◽  
Gis Techniques

scholarly journals Navigating the Wildfire–Pandemic Interface: Public Perceptions of COVID-19 and the 2020 Wildfire Season in Arizona

Fire ◽  
2020 ◽  
Vol 3 (3) ◽  
pp. 41
Author(s):  
Catrin M. Edgeley ◽  
Jack T. Burnett
Keyword(s):  
Risk Mitigation ◽  
Public Perceptions ◽  
Fire Season ◽  
Future Research ◽  
Wildland Urban Interface ◽  
Wildfire Management ◽  
Wildfire Risk ◽  
Close Proximity ◽  
Literature Highlight ◽  
Wildfire Season

COVID-19 has complicated wildfire management and public safety for the 2020 fire season. It is unclear whether COVID-19 has impacted the ability of residents in the wildland–urban interface to prepare for and evacuate from wildfire, or the extent to which residents feel their household’s safety has been affected. Several areas with high wildfire risk are also experiencing record numbers of COVID-19 cases, including the state of Arizona in the southwestern United States. We conducted a mixed-mode survey of households in close proximity to two recent wildfires in rural Arizona to better understand whether residents living in the wildland–urban interface perceive COVID-19 as a factor in wildfire safety. Preliminary data suggest that the current challenges around collective action to address wildfire risk may be further exacerbated due to COVID-19, and that the current pandemic has potentially widened existing disparities in household capacity to conduct wildfire risk mitigation activities in the wildland–urban interface. Proactive planning for wildfire has also increased perceived ability to practice safe distancing from others during evacuation, highlighting the benefits that household planning for wildfire can have on other concurrent hazards. Parallels in both the wildfire and pandemic literature highlight vast opportunities for future research that can expand upon and advance our findings.

Open data project for e-government: case study of Stockholm open data project

2017 ◽  
Vol 9 (1/2) ◽  
pp. 55 ◽  
Author(s):  
Serdar Temiz ◽  
Terrence Brown
Keyword(s):  
Open Data

Transit networks, social contacts and open data meet public transportation plans for post-COVID-19: A Canadian case study

2021 ◽  
Author(s):  
Oliver Benning ◽  
Jonathan Calles ◽  
Burak Kantarci ◽  
Shahzad Khan
Keyword(s):  
Public Transportation ◽  
Population Distribution ◽  
Open Data ◽  
Practical Method ◽  
Municipal Services ◽  
Transit Network ◽  
Research Findings ◽  
Pandemic Response ◽  
The Impact

This article presents a practical method for the assessment of the risk profiles of communities by tracking / acquiring, fusing and analyzing data from public transportation, district population distribution, passenger interactions and cross-locality travel data. The proposed framework fuses these data sources into a realistic simulation of a transit network for a given time span. By shedding credible insights into the impact of public transit on pandemic spread, the research findings will help to set the groundwork for tools that could provide pandemic response teams and municipalities with a robust framework for the evaluations of city districts most at risk, and how to adjust municipal services accordingly.

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