Sensor Mathematical Model Data Fusion Biobjective Optimization

Sensors are an important tool to quantify the changes and an important part of the information acquisition system; the performance and accuracy of sensors are more strictly desired. In this paper, a highly sensitive fiber optic sensor for measuring temperature and refractive index is prepared by using femtosecond laser micromachining technology and fiber fusion technology. The multimode fiber is first spliced together with single-mode fiber in a positive pair, and then, the multimode fiber is perforated using a femtosecond laser. The incorporation of data model sensors has led to a rapid increase in the development and application of sensors as well. Based on the design concept and technical approach of the wireless sensor network system, a general development plan of the indoor environmental monitoring system is proposed, including the system architecture and functional definition, wireless communication protocols, and design methods of node applications. The sensor has obvious advantages over traditional electrical sensors; the sensor is resistant to electromagnetic interference, electrical insulation, corrosion resistance, low loss, small size, high accuracy, and other advantages. The upper computer program of the indoor environment monitoring system was developed in a Visual Studio development environment using C# language to implement the monitoring, display, and alarm functions of the indoor environment monitoring system network. The sensor-data model interfusion with each other for mutual integration performs the demonstration of the application.

The integrated environmental monitoring system as a key factor of environmental safety of chemical weapons storage and destruction facilities

In the destruction of chemical weapons initiated in the Russian Federation in 1996, environmental safety issues played a key role in the creation of facilities for storing and destroying chemical weapons. The process of destroying chemical weapons is at the stage of eliminating consequences of activities and involving former destruction facilities in the economic turnover. The issue of development of safety systems is relevant. The purpose of the article is to study problems in the system of environmental safety insurance at chemical weapons destruction facilities and to identify possible ways of further development. The main methods used are analysis of information, induction, analogies, and generalization. The following conclusions were drawn: the environmental safety system fits into the system of safety insurance; the key subsystem is highly accurate and prompt environmental monitoring. Responding to the principles of the construction of head systems, complex monitoring systems were created at chemical weapons destruction facilities. The improvement of this subsystem can improve the environmental safety at these facilities; further development of the integrated environmental monitoring system requires the methods of data analysis and processing tools. Since the result of the monitoring system is information, its processing and interpretation is the most complex and time-consuming process. The use of modern information processing tools can reduce the time for an analysis, improve the quality, and create an information base for decision support systems in the environmental safety system. The research made it possible to outline further ways to improve the environmental safety systems at chemical weapons destruction facilities, which will further ensure the environmental safety and sustainability of chemical weapons destruction facilities and other potentially dangerous facilities that affect the environment.

The environmental monitoring system at the COSINE-100 experiment

The COSINE-100 experiment is designed to test the DAMA experiment which claimed an observation of a dark matter signal from an annual modulation in their residual event rate. To measure the 1 %-level signal amplitude, it is crucial to control and monitor nearly all environmental quantities that might systematically mimic the signal. The environmental monitoring also helps ensure a stable operation of the experiment. Here, we describe the design and performance of the centralized environmental monitoring system for the COSINE-100 experiment.

Prospects for digitalization of the environmental monitoring system

Currently, digitalization affects various sectors of the economy. The state plays a significant role in regulating digitalization. Digital transformation opens up great prospects for the ecology and nature management industry. The main advanced technologies that will allow the industry to reach a qualitatively new level are big data, the Internet of Things and artificial intelligence. The introduction of digital technologies and platform solutions into an integrated environmental monitoring system will allow to quickly carry out integrated collection, processing and analysis of data, forecasting and management decisions on environmental protection issues, and ensure the openness of data and decisions made. Key words: digital technologies, digitalization, digital economy, ecology, nature management, environmental monitoring.

Potential Development of Digital Environmental Surveillance System in Dengue Control: A Qualitative Study

Background: The development of digital environmental technology can be conducted to implement reports, surveillance, and manage dengue control. Therefore, this study aims to determine the barriers to the use of paper-based and the potential development of digital environmental technology in dengue control. Methods In-depth qualitative interviews were conducted using 14 key informants and four focus group discussions (FGD) from May-August 2021 in Denpasar City, Bali. The interviews were consistent with the flow of the epidemiological and entomological surveillance system, the obstacles to the dengue control program, the potential for the application of digital technology, and the challenges in the application of digital surveillance technology. Furthermore, open-ended questions and content analysis by qualitative study procedures were adopted. The results were transcribed verbatim and triangulation of sources was conducted for data validation. Results The reporting system that used paper-based was not optimally implemented due to repetition of reporting, speed of information, data bias, performance measurement as well as case surveillance and reporting system constraints. An integrated digital environmental surveillance system (SILIRA) was also developed for dengue control. In the current Covid-19 pandemic, the need for digital applications is high due to the policy of not accepting guests and keeping a distance. Epidemiological surveillance for case data collection, entomological surveillance for larva density, case reporting, and educational videos are the required data in the application. Conclusion The development of an integrated application for an environmental monitoring system can be created for the continuous reporting of case information and larval density for dengue hemorrhagic fever control. Keywords: digital, surveillance, environment, dengue

Corruption as a factor in urban environmental crime

The proposed article is devoted to studying issues related to the scientific and practical understanding of the impact of corruption on environmental crime in cities. Based on the analysis of empirical data, the authors conclude the existence of objective causes of environmental crime in cities and its high latency. Along with high urbanization, the Russian economy has been focusing on mining since Soviet times. Combustion of hydrocarbons, automobile fuel, gas, and large industrial enterprises seriously degrades the ecological situation, especially in industrial cities. At the same time, according to the authors, corruption acts as a bright background for committing environmental crimes. The article states the coincidence of the most common causes and conditions of corruption and environmental attitudes (low income of officials; low morale and ethical qualities of officials, shortcomings of the current legislation), which indicates a close correlation between corruption and environmental crime. In addition, it is proposed to strengthen the specialized environmental function of government bodies, including prosecutors, including the creation of such bodies in all environmentally disadvantaged cities, as well as the inclusion of civil society institutions and environmental activists in the state environmental monitoring system, subject to the appropriate conditions.

Photoneutron activation analysis and multivariate geostatistical approach to assess the spatial occurrence of trace heavy metals in Crisuri Basin

The Crisuri Basin, with its total length of 1093 km (among which 670 km in Romania), is subjected to an effective environmental monitoring system consisting of 18 water stations network. Their integrated information is used for the water assessment problem to understand the biogeochemical processes leading to significant pollution levels in some running water sectors. The goal of this research is to predict the most important factors causing the change of the geochemical measured parameters of some components of the Crisuri water resources. In the present paper, we developed a multivariate statistical model to estimate the spatiotemporal distribution of heavy metals in the field and to identify the contamination sources of Basin River waters. Two methods were deployed as an overall approach to fulfill the proposed objectives, namely the photoneutron activation analysis followed by high-resolution gamma-ray spectrometry and the multivariate statistical analysis. The elements analyzed by different analytical techniques and introduced in databases were As, Cd, Ca, Cu, Fe, Mg, Hg, Na, Ni, Pb, Zn, N-NH4, N-NO2, N-NO3, P-PO4, fixed residues, S-SO4, Cl, phenols and, additional oil compounds. By combining the spatially distributed geochemical data on trace heavy metals with the spatially distributed geophysical data, we obtained the most significant fingerprint factors and their associated uncertainty information concerning the water quality.