scholarly journals A real‐time hybrid aurora alert system: Combining citizen science reports with an auroral oval model

2016 ◽  
Vol 3 (6) ◽  
pp. 257-265 ◽  
Author(s):  
N. A. Case ◽  
D. Kingman ◽  
E. A. MacDonald
Keyword(s):  
Real Time ◽  
Citizen Science ◽  
Auroral Oval ◽  
Alert System

scholarly journals Processing Collections of Geo-Referenced Images for Natural Disasters

2018 ◽  
Vol 18 (03) ◽  
pp. e22
Author(s):  
Fernando Loor ◽  
Veronica Gil-Costa ◽  
Mauricio Marin
Keyword(s):  
High Risk ◽  
Natural Disasters ◽  
Real Time ◽  
Citizen Science ◽  
Emergency Response ◽  
P2p Network ◽  
Limited Time ◽  
Real Time Processing ◽  
Time Processing ◽  
Powerful Mechanism

After disaster strikes, emergency response teams need to work fast. In this context, crowdsourcing has emerged as a powerful mechanism where volunteers can help to process different tasks such as processing complex images using labeling and classification techniques. In this work we propose to address the  problem of how to efficiently process large volumes of georeferenced images using crowdsourcing in the context of high risk such as natural disasters. Research on citizen science and crowdsourcing indicates that volunteers should be able to contribute in a useful way with a limited time to a project, supported by the results of usability studies. We present the design of a platform for real-time processing of georeferenced images. In particular, we focus on the interaction between the crowdsourcing and the volunteers connected to a P2P network.

scholarly journals Development of geoportal for landslide monitoring

2012 ◽  
Vol 92 (4) ◽  
pp. 63-78
Author(s):  
Dubravka Sladic ◽  
Milan Vrtunski ◽  
Ivan Alargic ◽  
Aleksandra Ristic ◽  
Dusan Petrovacki
Keyword(s):  
Real Time ◽  
Spatial Data ◽  
Service Oriented Architecture ◽  
Reference Value ◽  
Landslide Monitoring ◽  
Alert System ◽  
Service Oriented ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures

The paper presents the implementation of geoportal for landslide monitoring which which includes two subsystems: a system for acquisition, storage and distribution of data on landslides and real time alert system. System for acquisition, storage and distribution of data on landslides include raster and vector spatial data on landslides affected areas, as well as metadata. Alert system in real time is associated with a sensor for detecting displacement, which performs constant measurements and signals in case of exceeding the reference value. The system was developed in accordance with the standards in the field of GIS: ISO 19100 series of standards and OpenGIS Consortium and is based on service-oriented architecture and principles of spatial data infrastructures.

Developing a public information and engagement portal of urban waterways with real-time monitoring and modeling

2011 ◽  
Vol 63 (2) ◽  
pp. 248-254 ◽  
Author(s):  
T. A. Cochrane ◽  
D. Wicke ◽  
A. O’Sullivan
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Monitoring System ◽  
Public Awareness ◽  
Mesh Network ◽  
Web Portal ◽  
Alert System ◽  
Urban Waterways ◽  
Effective Manner ◽  
Urban Catchments

Waterways can contribute to the beauty and livelihood of urban areas, but maintaining their hydro-ecosystem health is challenging because they are often recipients of contaminated water from stormwater runoff and other discharges. Public awareness of local waterways’ health and community impacts to these waterways is usually poor due to of lack of easily available information. To improve community awareness of water quality in urban waterways in New Zealand, a web portal was developed featuring a real-time waterways monitoring system, a public forum, historical data, interactive maps, contaminant modelling scenarios, mitigation recommendations, and a prototype contamination alert system. The monitoring system featured in the web portal is unique in the use of wireless mesh network technology, direct integration with online modelling, and a clear target of public engagement. The modelling aims to show the origin of contaminants within the local catchment and to help the community prioritize mitigation efforts to improve water quality in local waterways. The contamination alert system aims to keep managers and community members better informed and to provide a more timely response opportunity to avert any unplanned or accidental contamination of the waterways. Preliminary feedback has been positive and is being supported by local and regional authorities. The system was developed in a cost-effective manner providing a community focussed solution for quantifying and mitigating key contaminants in urban catchments and is applicable and transferable to other cities with similar stormwater challenges.

A Seismic Alert System for Oil & Gas Offshore Fields

2021 ◽  
Author(s):  
Pamela Poggi ◽  
Emilia Fiorini ◽  
Daniela Tonoli ◽  
Francesca Ioele ◽  
Eric John Parker ◽  
...  
Keyword(s):  
Real Time ◽  
Ground Motion ◽  
Oil And Gas ◽  
Focal Depth ◽  
Threshold Values ◽  
Alert System ◽  
Ground Acceleration ◽  
Gas Field ◽  
Expected Values ◽  
Earthquake Data

Abstract Objectives/Scope This paper presents an innovative web tool developed for the seismic monitoring of critical infrastructure. As an example, we describe an application for the ENI offshore facilities, Jangkrik and Merakes Fields Development, offshore Indonesia. Methods, Procedures, Process The system monitors reported seismic activity in a project area, and issues warnings when earthquakes detected may have directly or indirectly impacted facilities. Notifications allow the owner to optimize decisions regarding post-earthquake asset surveys and maintenance, avoiding the need for inspections in areas not significantly affected. A system of email alerts and a web based GIS platform provide the end-user with a tool to control its own assets. Results, Observations, Conclusions The purpose of the tool is to indirectly monitor earthquakes in an area and identify those which may have damaged the Oil and Gas facilities of interest. This identification requires accurate near real-time earthquake data such as date, time, location, magnitude, and focal depth. To this end, the system retrieves earthquake data from a qualified set of public seismic agencies. The system computes the expected values of shaking at the specific offshore facilities (platforms, subsea structures, pipelines, etc.). Calculations are based on sets of Ground Motion Prediction Equations (GMPEs) selected to match the seismotectonic environment. The expected values of seismic acceleration generated by an earthquake are compared with threshold values and a warning message is issued to the facilities supervisors when the ground acceleration exceeds design values. Threshold values related to secondary seismic effects (e.g., seismically induced landslides, debris flow) which could affect facilities integrity are also considered in the alert system. Threshold values are defined considering project seismic and geohazard documents, to summarize strong ground motion parameters that could potentially trigger damaging seismic geohazards, and project design documents to collect all data about seismic design of the assets. Monitoring intervals are defined based on the documentation screening. Several alarm levels are selected, based on the potential severity of earthquake effects. The more severe levels of ground motion, with high damage potential, can trigger recommendation for inspection. Novel/Additive Information Asset integrity and safety are key drivers in the offshore petroleum industry. Safety performance with respect to earthquakes is a fundamental issue in all seismic prone areas. The seismic alert system presented highlights, in near real time, earthquakes that are potentially critical for structures in an Oil and Gas field. This allows the owners to make quick decisions and plan necessary intervention regarding assets affected directly or indirectly by earthquakes. Exploiting the wide background of knowledge in engineering and geoscience and the modern availability of global earthquake data, the tool can provide useful assistance in managing asset integrity, regardless of the availability of local seismic networks or strong motion stations.

Wildfires increasingly impact rivers and water supplies

2021 ◽  
Author(s):  
Ashley Webb
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Citizen Science ◽  
Water Monitoring ◽  
Rapid Response ◽  
River Systems ◽  
Water Supplies ◽  
Changing Climate

Wildfires are increasing in frequency, severity, duration and extent with potentially catastrophic impacts on river systems and water supplies. Scientists are quantifying these impacts and studying the underlying factors driving the susceptibility of landscapes to post-fire erosion in a changing climate. Recommended actions include: (1) rapid response water monitoring during and after fires, (2) citizen science and (3) machine learning to provide communities with data and predicted impacts in near real-time.

The Probabilistic Innovation Field of Scientific Enquiry

2017 ◽  
Vol 9 (2) ◽  
pp. 56-72 ◽  
Author(s):  
Chris William Callaghan
Keyword(s):  
Real Time ◽  
Citizen Science ◽  
Theoretical Framework ◽  
Innovation Theory ◽  
Theoretical Frameworks ◽  
Academic Fields

This paper outlines a developing stream of literature related to a theoretical framework, namely probabilistic innovation, relating it to certain literature critiquing developing academic fields and offering criteria against which a developing field can be held to be scientific or not. With ontological and epistemological roots in citizen science, participant-research and other emerging academic movements, probabilistic innovation theory is underpinned by a shift toward the democratisation of knowledge, increasing inclusivity and transparency in its processes, and a novel methodology drawing from methods such as expert crowdsourcing, crowdfunding, swarm solving and maximisation of efficiencies related to collaborations in research. With the enablement of real time research capability, or ability to solve serious scientific problems in hours and days instead of years and decades as its primary raison d'être, probabilistic innovation seeks to maximise probability of scientific breakthroughs. However, for this stream of literature to develop, it is important to proactively identify academic or scientific pitfalls facing developing areas of enquiry, and this paper attempts to offer this, deriving propositions potentially useful for developing fields in general. It is hoped real time research capability will one day become a reality, and to increase the likelihood of this, theoretical frameworks seeking this end need to face useful critique to ensure their robust development, and this paper proposed four core tensions such fields need to manage in order to successfully evolve.

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