scholarly journals Development of recommendations on the effectiveness of monitoring in the territories of traditional nature management in the Khanty-Mansiysk Autonomous Okrug

2021 ◽  
Vol 937 (2) ◽  
pp. 022056
Author(s):  
E Gaevaya ◽  
I Kustysheva ◽  
V Petuhova
Keyword(s):  
Environmental Monitoring ◽  
Ecological Monitoring ◽  
Nature Management ◽  
Monitoring Systems ◽  
Effective Management ◽  
Ecological Efficiency ◽  
Economic Activities ◽  
Traditional Use ◽  
Industrial Companies ◽  
The North

Abstract In the article, the authors consider the features of the studied territory of traditional nature management in order to develop recommendations for optimizing the system of local environmental monitoring. The existing local regulations and requirements for the development and maintenance of local environmental monitoring systems are analyzed using the example of the Khanty-Mansiysk Autonomous Okrug. The ecological efficiency of the local ecological monitoring systems has been proved and recommendations have been developed for the unification of this system. The information obtained in the course of the study showed that monitoring in territories of traditional nature use is a necessary procedure for the purposes of effective management of these territories. Finding a balance between the economic activities of industrial companies and the traditional use of natural resources by the indigenous small-numbered peoples of the North constantly arouses interest in the scientific community, since the territories of traditional nature use are quite vulnerable and require special measures for their use and protection.

Maritime and River Traders, Landing Places, and Emporia Ports in the Merovingian Period in and Around the Low Countries

2020 ◽  
pp. 763-796
Author(s):  
Dries Tys
Keyword(s):  
North Sea ◽  
Institutional Economics ◽  
New Institutional Economics ◽  
Central Position ◽  
Economic Activities ◽  
Early Medieval ◽  
Low Countries ◽  
Long Distance ◽  
The North ◽  
The North Sea

The origin, rise, and dynamics of coastal trade and landing places in the North Sea area between the sixth and eighth centuries must be understood in relation to how coastal regions and seascapes acted as arenas of contact, dialogue, and transition. Although the free coastal societies of the early medieval period were involved in regional to interregional or long-distance trade networks, their economic agency must be understood from a bottom-up perspective. That is, their reproduction strategies must be studied in their own right, independent from any teleological construction about the development of trade, markets, or towns for that matter. This means that the early medieval coastal networks of exchange were much more complex and diverse than advocated by the simple emporium network model, which connected the major archaeological sites along the North Sea coast. Instead, coastal and riverine dwellers often possessed some form of free status and large degrees of autonomy, in part due to the specific environmental conditions of the landscapes in which they dwelled. The wide estuarine region of the Low Countries, between coastal Flanders in the south and Friesland in the north, a region with vast hinterlands and a central position in northwestern Europe, makes these developments particularly clear. This chapter thus pushes back against longstanding assumptions in scholarly research, which include overemphasis of the influence of large landowners over peasant economies, and on the prioritization of easily retrievable luxuries over less visible indicators of bulk trade (such as wood, wool, and more), gift exchange, and market trade. The approach used here demonstrates that well-known emporia or larger ports of trade were embedded in the economic activities and networks of their respective hinterlands. Early medieval coastal societies and their dynamics are thus better understood from the perspective of integrated governance and economy (“new institutional economics”) in a regional setting.

Using Machine Learning for Dependable Outlier Detection in Environmental Monitoring Systems

2021 ◽  
Vol 5 (3) ◽  
pp. 1-30
Author(s):  
Gonçalo Jesus ◽  
António Casimiro ◽  
Anabela Oliveira
Keyword(s):  
Machine Learning ◽  
Environmental Monitoring ◽  
Data Quality ◽  
Outlier Detection ◽  
Prediction Models ◽  
Sensor Data ◽  
Natural Phenomenon ◽  
Monitoring Systems ◽  
Data Errors ◽  
Redundant Data

Sensor platforms used in environmental monitoring applications are often subject to harsh environmental conditions while monitoring complex phenomena. Therefore, designing dependable monitoring systems is challenging given the external disturbances affecting sensor measurements. Even the apparently simple task of outlier detection in sensor data becomes a hard problem, amplified by the difficulty in distinguishing true data errors due to sensor faults from deviations due to natural phenomenon, which look like data errors. Existing solutions for runtime outlier detection typically assume that the physical processes can be accurately modeled, or that outliers consist in large deviations that are easily detected and filtered by appropriate thresholds. Other solutions assume that it is possible to deploy multiple sensors providing redundant data to support voting-based techniques. In this article, we propose a new methodology for dependable runtime detection of outliers in environmental monitoring systems, aiming to increase data quality by treating them. We propose the use of machine learning techniques to model each sensor behavior, exploiting the existence of correlated data provided by other related sensors. Using these models, along with knowledge of processed past measurements, it is possible to obtain accurate estimations of the observed environment parameters and build failure detectors that use these estimations. When a failure is detected, these estimations also allow one to correct the erroneous measurements and hence improve the overall data quality. Our methodology not only allows one to distinguish truly abnormal measurements from deviations due to complex natural phenomena, but also allows the quantification of each measurement quality, which is relevant from a dependability perspective. We apply the methodology to real datasets from a complex aquatic monitoring system, measuring temperature and salinity parameters, through which we illustrate the process for building the machine learning prediction models using a technique based on Artificial Neural Networks, denoted ANNODE ( ANN Outlier Detection ). From this application, we also observe the effectiveness of our ANNODE approach for accurate outlier detection in harsh environments. Then we validate these positive results by comparing ANNODE with state-of-the-art solutions for outlier detection. The results show that ANNODE improves existing solutions regarding accuracy of outlier detection.

MONITORING OF RADIATION POLLUTION OF THE TERRITORY OF THE CHORNOBYL ZONE

2020 ◽  
pp. 297-307
Author(s):  
Victor Movenko ◽  
Keyword(s):  
Environmental Monitoring ◽  
Forest Fires ◽  
Safety Management ◽  
Ecological Monitoring ◽  
The State ◽  
Radiation Environment ◽  
Radiation Hazard ◽  
Actual State ◽  
Exclusion Zone ◽  
Chernobyl Zone

Urgency of the Research. Thirty-five years have passed since the Chernobyl accident. During this time, the environment has undergone constant changes under the influence of natural and human factors. Knowledge of these changes is impossible without the separation of anthropogenic processes from natural, which is why they organize special observations on various parameters of the biosphere, which change as a result of human activity. It is in the observation of the environment, the assessment of its actual state, and the forecasting of its development, that the essence of monitoring of radiation pollution of the territory of the Chernobyl zone is under the present conditions. Target setting. Investigation of modern technological procedures and technical means of monitoring to further create a system of integrated radiological control of the environment will ensure the prevention and elimination of negative changes in the state of the environment in the territory of both the Chernobyl Exclusion Zone (ChEZ) and throughout Ukraine. Actual scientific researches and issues analysis. Recent publications and reports on open access concerning the problems of monitoring of radiation pollution of the Chernobyl zone in the current conditions have been considered. Uninvestigated parts of general matters defining. Maintaining integrated radio-ecological environmental monitoring in areas where radiation hazards are located requires constant monitoring and monitoring of the radiation environment in the environment in order to determine its level of contamination and respond quickly to emergencies and prevent possible radiation accidents, as well as to prevent their occurrence. and the environment. The research objective. Comprehensive monitoring of radiation pollution requires the adaptation of the RODOS system to the conditions of the Chernobyl Exclusion Zone and potential specific sources of emissions in the ChEZ, the creation of a complete register of collected data for the adaptation of the RODOS system to the conditions of the ChEZ, a systematic description of sources of emissions from forest fires, fires, during the decommissioning of the ChNPP. The statement of basic materials. The article deals with the issues of integrated radio-ecological monitoring of the environment in the areas of radiation hazard objects, the use of an automated radiation monitoring system (ASCRO), the implementation of a real time decision support system in response to nuclear accidents - RODOS in Chernobyl. Conclusions. The implementation of ASCRO and RODOS systems in the Chernobyl zone has allowed to create a comprehensive system of radio-ecological environmental monitoring of the state, regional and local levels, which is intended to solve the main tasks of environmental safety management, including, at high risk objects.

scholarly journals Combining single- and repeated-visit occupancy models to make the best of monitoring surveys

2019 ◽  
Author(s):  
Valentin Lauret ◽  
Hélène Labach ◽  
Matthieu Authier ◽  
Olivier Gimenez
Keyword(s):  
Bottlenose Dolphins ◽  
Ecological Monitoring ◽  
Western Mediterranean ◽  
List Type ◽  
Occupancy Models ◽  
Single Visit ◽  
The North ◽  
Aerial Surveys ◽  
Single Method ◽  
Repeated Visit

AbstractA major challenge in applied ecology consists in integrating knowledge from different datasets to produce robust ecological indicators. To estimate species distribution, occupancy models are a flexible framework that can accommodate several datasets obtained from different sampling methods. However, repeating visits at sampling sites is a prerequisite for using standard occupancy models, which may limit their use. Under certain conditions, detection/non-detection data collected during single visit can be analysed with occupancy models. To date however, single-visit occupancy models have never been used to combine several different datasets.Here, we developed an approach that combines multi-method and single-visit occupancy models. As a case study, we estimated the distribution of Bottlenose dolphins (Tursiops truncatus) over the North-western Mediterranean Sea by combining 24,624 km of aerial surveys and 21,464 km of at-sea monitoring. We compared the outputs of single-vs. repeated-visit multi-method occupancy models, and that of single-method occupancy models.Multi-method models allowed a better sampling coverage in both coasts and high seas and provided a better precision for occupancy estimates than single-method occupancy models using aerial surveys or at-sea surveys in isolation.Overall, single- and repeated-visit multi-method occupancy models produced similar inference about the distribution of bottlenose dolphins. This suggests that single-visit occupancy models provide robust occupancy estimates, which open promising perspectives for the use of non-standardized datasets.Synthesis and applications: Single-visit multi-method occupancy models can help making the best out of ecological monitoring programs by optimizing cost effectiveness through the formal combination of datasets.

scholarly journals Dynamics of the abundance of cuckoo wasps (Hymenoptera, Chrysididae) in the conditions of the altitudinal-belt heterogeneity of the North Caucasus

2021 ◽  
Vol 35 ◽  
pp. 00023
Author(s):  
Nikolay Vinokurov
Keyword(s):  
Population Dynamics ◽  
New Species ◽  
Weather Conditions ◽  
Nature Management ◽  
North Caucasus ◽  
Protection Measures ◽  
Altitudinal Belt ◽  
The North ◽  
Short Period ◽  
First Time

The work provides data on the dynamics of the abundance of 205 taxa from 19 genera: Cleptes, Colpopyga, Elampus, Omalus, Philoctetes, Pseudomalus, Hedychridium, Hedychrum, Holopyga, Chrysidea, Chrysis, Euchroeus, Chrysura, Pseudochrysis, Spinolia, Spinolia, including species rare and new for the fauna of the North Caucasus and Russia. By the nature of the population dynamics, five groups of cuckoo wasps were identified: spring – represented by 7 species from 4 genera; spring-summer – 76 species from 10 genera; summer – 113 species from 16 genera; summer-autumn – 4 species from 2 genera and spring-summer-autumn – 5 species from 3 genus. According to the duration of flight, eurychronous species of cuckoo wasps were identified, which are found throughout the season from spring to autumn; mesochronous – the years of which affect the end of May and summer months and stenochronous – confined to a short period of time. Eurychronic accounted for 2.4%, mesochronous 24.9%, stenochronic 72.7%. The number of generations of cuckoo wasps is related to the dynamics of the number of the host. In the mountains, the peaks of activity shift towards the middle of summer, most species have one peak of activity; due to the frequent changes in weather conditions in the mountains, the phenological characteristics of the cuckoo wasps and their hosts do not coincide in terms with the lowland populations and the periods of activity can be extended in time. Phenological characteristics of rare and new species for the fauna of the North Caucasus and Russia are presented for the first time. The data obtained expand the understanding of the biodiversity and dynamics of the abundance of cuckoo wasps in the North Caucasus and can be used for environmental protection measures and rational nature management in the south of Russia.

Sign in / Sign up

Export Citation Format

Share Document