Semantic Conceptual Framework for Environmental Monitoring and Surveillance—A Case Study on Forest Fire Video Monitoring and Surveillance

This paper presents a semantic conceptual framework and definition of environmental monitoring and surveillance and demonstrates an ontology implementation of the framework. This framework is defined in a mathematical formulation and is built upon and focused on the notation of observation systems. This formulation is utilized in the analysis of the observation system. Three taxonomies are presented, namely, the taxonomy of (1) the sampling method, (2) the value format and (3) the functionality. The definition of concepts and their relationships in the conceptual framework clarifies the task of querying for information related to the state of the environment or conditions related to specific events. This framework aims to make the observation system more queryable and therefore more interactive for users or other systems. Using the proposed semantic conceptual framework, we derive definitions of the distinguished tasks of monitoring and surveillance. Monitoring is focused on the continuous assessment of an environment state and surveillance is focused on the collection of all data relevant for specific events. The proposed mathematical formulation is implemented in the format of the computer readable ontology. The presented ontology provides a general framework for the semantic retrieval of relevant environmental information. For the implementation of the proposed framework, we present a description of the Intelligent Forest Fire Video Monitoring and Surveillance system in Croatia. We present the implementation of the tasks of monitoring and surveillance in the application domain of forest fire management.

Thermocline Model for Estimating Argo Sea Surface Temperature

Argo has become an important constituent of the global ocean observation system. However, due to the lack of sea surface measurements from most Argo profiles, the application of Argo data is still limited. In this study, a thermocline model was constructed based on three key thermocline parameters, i.e, thermocline upper depth, the thermocline bottom depth, and thermocline temperature gradient. Following the model, we estimated the sea surface temperature of Argo profiles by providing the relationship between sea surface and subsurface temperature. We tested the effectiveness of our proposed model using statistical analysis and by comparing the sea surface temperature with the results obtained from traditional methods and in situ observations in the Pacific Ocean. The root mean square errors of results obtained from thermocline model were found to be significantly reduced compared to the extrapolation results and satellite retrieved temperature results. The correlation coefficient between the estimation result and in situ observation was 0.967. Argo surface temperature, estimated by the thermocline model, has been theoretically proved to be reliable. Thus, our model generates theoretically feasible data present the mesoscale phenomenon in more detail. Overall, this study compensates for the lack surface observation of Argo, and provides a new tool to establish complete Argo data sets.

Pipeline Leak Detection and Estimation Using Fuzzy PID Observer

A pipe is a ubiquitous product in the industries that is used to convey liquids, gases, or solids suspended in a liquid, e.g., a slurry, from one location to another. Both internal and external cracking can result in structural failure of the industrial piping system and possibly decrease the service life of the equipment. The chaos and complexity associated with the uncertain behaviour inherent in pipeline systems lead to difficulty in detection and localisation of leaks in real time. The timely detection of leakage is important in order to reduce the loss rate and serious environmental consequences. The objective of this paper is to propose a new leak detection method based on an autoregressive with exogenous input (ARX) Laguerre fuzzy proportional-integral-derivative (PID) observation system. The objective of this paper is to propose a new leak detection method based on an autoregressive with exogenous input (ARX) Laguerre fuzzy proportional-integral-derivative (PID) observation system. In this work, the ARX–Laguerre model has been used to generate better performance in the presence of uncertainty. According to the results, the proposed technique can detect leaks accurately and effectively.

Study on observation system of seismic forward prospecting in tunnel: A case on tailrace tunnel of Wudongde hydropower station

Seismic method is a major approach for detecting the seismic geological features ahead of the tunnel, understanding the distribution of unfavorable geology, and ensuring the safety of tunnel construction. Observation system is the key for seismic detection, many studies have been conducted to optimize the observation system; however, most of them focused on the surface seismic investigation and numerical simulation rather than in tunnel field environment (limited aperture and full space environment). How to obtain better wavefield information with limited observation aperture is a great challenge. In this study numerical simulation and instrumental techniques (GPR, DC, etc.) were implemented to further check the result of seismic detection at the 1# tailrace tunnel at the Wudongde hydropower station. In the field case, observation detectors were arranged spatially in the tunnel and source points were placed in four ways: linearly along a single side, on the tunnel face, in front of the detectors, and behind the detectors. Then, after data acquisition, the data processing is conducted to carry out the migration results. The imaging results indicate that the observation system with sources and detectors in liner arrangement (with equal interval) helps to suppress artifacts, further supporting the advantages of spatial observation system with liner observation line (detectors). Moreover, the study provides suggestions for geological prospecting in similar tunnel projects.

Analysis of Upwelling Events in the Southern South China Sea Using Multi-Mission Satellite Altimeter

Upwelling is a vital ocean behaviour, especially for the Fisheries Industry, where upwelling will help to detect fish ground at a particular ocean area. However, the study of upwelling is minimal and not well understood due to some reasons and constraints, such as limited observation. Upwelling lacks a comprehensive in-situ observation system where it relies on limited information collected from the ground-truthing execution such as ships, buoys, and current meter. This study aims to analyse the upwelling pattern in the southern region of the South China Sea by using a multi-mission satellite altimeter. In order to derive the physical oceanography that involves upwelling, such as sea surface height (SSH), Mean Dynamic Topography (MDT), and the Sea Level Anomaly (SLA), the Radar Altimeter Database System is used. Five Satellite Altimeter mission is used in this study, which is JASON-2, JASON-3, CYROSAT2, SARAL, SENTINAL3A from 2013 to 2017. Validation is made using a statistical method showing a good correlation between Altimetry data and Tidal Data at tide gauge, which is 0.84 to 0.97, respectively. Also, monthly altimetry derived Geostrophic Current was assessed by analysing the current pattern where it shows a similarity with a previous study where the current velocity is 0.5ms-1 to 2ms-1. From the result, eddies can be seen in the seasonal and monthly Absolute Geostrophic Ocean Current (AGOC) map, indicating the present presence of upwelling. In conclusion, this study will benefit other researchers in terms of both upwelling and eddy studies.

Operationelle in-situ Messungen von Luftschadstoffen und Klimagasen im nationalen und internationalen Kontext

<p>Im Unterschied zu Forschungsinfrastrukturen in anderen Disziplinen, zeichnen sich Forschungsinfrastrukturen für Umweltbeobachtungen in der Regel durch langfristige Messungen zahlreicher Parameter mit verschiedenen Instrumenten an unterschiedlichen Orten aus. Bodengestützte, atmosphärische Beobachtungen von Luftschadstoffen und Klimagasen können unterschiedliche Ziele verfolgen, wie zum Beispiel die Überwachung regulatorischer Massnahmen und die Einhaltung von Grenzwerten, die wissenschaftliche Untersuchung von Variabilitäten und Trends, die Validierung von Modellrechnungen und Satellitenbeobachtungen oder die Früherkennung von neu auftretenden Substanzen. Die Qualitätskontrolle und Qualitätssicherung müssen nicht nur dem dezentralen Charakter der Beobachtungen Rechnung tragen, sondern auch sicherstellen, dass die der Fragestellung angepassten Datenqualitätsziele erreicht werden. Zusätzlich müssen Beobachtungen, die Teil von mehreren Messnetzen und Infrastrukturen sind, verschiedene Kriterien erfüllen, z.B. im Hinblick auf das Normal der Rückführbarkeit, die Präzision, aber auch bezüglich Dokumentation und Bereitstellung der Resultate in Datenbanken.</p> <p>Die Präsentation gibt einen Überblick über die langfristigen Luftqualitätsmessungen in der Schweiz im Rahmen des Nationalen Beobachtungsnetzes für Luftfremdstoffe (NABEL), ihre Einbettung in das European Monitoring and Evaluation Programme (EMEP), die Kooperation mit den europäischen Forschungsinfrastrukturen ICOS (Integrated Carbon Observation System) und ACTRIS (Aerosols, Clouds, and Trace gases Research Infrastructure Network), und die Zusammenarbeit in globalen Aktivitäten wie dem Advanced Global Atmospheric Gases Experiment (AGAGE) zur kontinuierlichen Messung von klimawirksamen und ozonabbauenden Substanzen und dem von der Weltorganisation für Meteorologie (WMO) koordinierten Global Atmosphere Watch (GAW) Programm.</p>

Study of GPS Radiosonde observation system in Goa

Meteorological Radiosonde in the past used to apply navigation system to rout to determine the upper air pressure, temperature, humidity and the wind data through Radars. In this paper GPS Radiosonde test has been recently introduced in IMD is studied. The observations taken from M2K2 Radiosonde have been discussed. GPS Radiosonde obtains wind data as well.

Hydrometeor Classification of Winter Precipitation in Northern China Based on Multi-Platform Radar Observation System

Hydrometeor classification remains a challenge in winter precipitation cloud systems. To address this issue, 42 snowfall events were investigated based on a multi-platform radar observation system (i.e., X-band dual-polarization radar, Ka-band millimeter wave cloud radar, microwave radiometer, airborne equipment, etc.) in the mountainous region of northern China from 2016 to 2020. A fuzzy logic classification method is proposed to identify the particle phases, and the retrieval result was further verified with ground-based radar observation. Moreover, the hydrometeor characteristics were compared with the numerical simulations to clarify the reliability of the proposed hydrometeor classification approach. The results demonstrate that the X-/Ka- band radars are capable of identifying hydrometeor phases in winter precipitation in accordance with both ground observations and numerical simulations. Three particle categories, including snow, graupel and the mixture of snow and graupel are also detected in the winter precipitation cloud system, and there are three vertical layers identified from top to bottom, including the ice crystal layer, snow-graupel mixed layer and snowflake layer. Overall, this study has the potential for improving the understanding of microphysical processes such as freezing, deposition and aggregation of ice crystal particles in the winter precipitation cloud system.

IMT-1 A translational research for practical use of dendritic cell-based immunotherapy against malignant glioma

Background: Although a therapeutic effect of dendritic cell (DC)-based immunotherapy, a kind of regenerative medicine, has been recognized in various types of cancer including malignant glioma, it is still impractical because of several unsolved problems. This study is aimed to solve the problems in regenerative medicine through a clinical trial of immunotherapy using fusions of DCs and glioma cells (GCs) against malignant glioma, and to put it into practical use. Methods: Primary cultured GCs and glioma stem cells (GSCs) were generated from surgical specimens of patient. DCs were generated from PBMC of same patient, and were fused with GCs and GSCs. The entire process of cell production must be performed by pairs of two cell-culture operators in a dedicated cell processing facility. We developed a remote cell-observation system for reducing hands work of operators. As a project to establish a preservation method, cryopreservation of glioma tissues, GCs/GSCs, DCs and fusion cells followed by their viability examination. Results: The remote cell-observation system worked stable in morphological observation and cell-counting for adhesion cells. A growth curve was also automatically and accurately created. Although a morphological observation of floating cells such as GSCs and DCs was possible, there was some error in counting of those cells. A project to establish a preservation method is currently underway, including the development of storage containers and storage liquids. Conclusions: Although the remote cell-observation system required some modifications at the observation site, depth of focus, etc. for floating cells, there was no problem in accuracy for adhesion cells compared with operator’s observation. This system, which can be easily installed at low cost, seemed to be helpful for practical use of regenerative medical products including this therapy. We are working on a project to establish a stable transportation and preservation method for prevalence of this treatment.