<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>The Technology of a Long-Term Environmental Monitoring of Gas Emmission in the Arctic Region of Russia by WSN Equpment</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Elena I. Chesalova SGM RAS e.chesalova@sgm.ru</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Alesey M. Asavin Institute of Geochemistry RAS</institution>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Sergey S. Baskakov Bauman Moscow State Technical University</institution>
        </aff>
      </contrib-group>
      <abstract>
        <p>The aim of our work is the organization of long-term ecological monitoring of modern composition of the atmosphere in the area of active ore mining on the base of modern WSN (wireless sensor network) technologies. Wireless sensor network monitoring (WSN) is last innovation for the industry. WSN are spatially distributed autonomous sensors to monitor physical or environmental conditions, such as gas, temperature, pressure, etc. and to cooperatively pass their data through the network to a main location The WSN is built of "nodes" - from a few to several hundreds or even thousands, where each node is connected to one (or sometimes several) sensors. Each such sensor network node has a radio transceiver with an internal antenna or connection to an external antenna, a microcontroller, an electronic circuit for interfacing with the sensors and an energy source, usually a battery or an embedded form of energy harvesting. The project includes the development of informational and analytical system, which includes a network of rock soil gas emission sensors and internet webpage based on modern WEB-GIS technologies. The first technical and methodical solution was tested in condition of Arctic region - the Khibiny and Lovozero massifs (Kola Peninsula). The developed equipment allows to carry out measurements directly in the zone of blasting operations with high discreteness in time.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1 Introduction</title>
      <p>Our work is directed on a solution of the problem of studying of change of modern structure of the atmosphere
around active production of ores in the conditions of Far North and an assessment of a contribution of a
lithospheric component to balance of the polluting atmospheric components.</p>
      <p>A lithospheric gas emission has a strong influence on the lithosphere, the atmosphere and the biosphere. This
problem has become more and more relevant, because of greenhouse gas emission increase, which changes the
energetic balance in the atmosphere and, as a result, changes global climate of the Earth. These changes are most
remarkable on high latitudes of the Northern hemisphere. Today planetary maximum of the main greenhouse
gases such as carbon and methane dioxide is registered in Arctic. One of the ecological problems is the global
decline of stratospheric ozone and the formation of the ozone holes. The main hypothesis, which explain the
destruction of ozone layer, is “Technogenic-Freon” hypothesis. However, exists another theory – “Hydrogen”
hypothesis – the emission of ozone-depleting gases (primarily hydrogen and less methane) from geological
structures [Syv02]. It is expected that one of these structures are the Khibiny and Lovozero massifs. Hydrogen
anomaly are regularly observed in these areas [Iko92; Niv05, Niv09, Niv16].</p>
      <p>High concentration of hydrocarbon and hydrogen-hydrocarbon gases in alkaline complexes occluded as fluid
inclusions in minerals. The presence of these gases has a number of practical implications and it is therefore
important to understand their source and distribution. The inverse relationship between hydrogen emission and
total ozone oscillation over the Kola Peninsula is established.</p>
      <p>Under certain conditions, combustible and exposable gas components can accumulate in the space of the
underground mines. This may be a serious danger for the mining workflows and for human life and health. If you
had to forecast an increase of gas emission in the mines, it is necessary to determine their spatial and time
variations and a condition of their appearance. According to their mobility, gas components are very sensitive to
conditions of geological environment and can be effective indicators of the dangerous and adverse geodynamic
factors.</p>
    </sec>
    <sec id="sec-2">
      <title>2 Methods</title>
      <p>The basic task of project is organization of the ecological monitoring in the district of exploitation of large deposits
of rare earth ore deposit (Lovozero massive) on the base of modern WSN (wireless sensor network) technologies,
consisting of sensors of gas H2, CH4, CO2, complex autonomous controls of temperature, pressure, humidity and
network of telecommunications (used ZigBee protocol).</p>
      <p>The advantages of this technology is autonomous work (to several months and more), high-frequency
programmable measurement of gas sensor, low cost (on one node of network), and possibility to connect to one
node of supervision a several types of sensors. At this moment, ZigBee protocol communication for WSN is set
the standard since the 2004. This specification has been repeatedly updated and expanded. Platform MeshLogic
software was chosen to create WSN (www.meshlogic.ru) [Bas12]. MeshLogic platform is a complete solution to
develop wireless sensor networks for industrial or scientific automation applications, represents a complex of
hardware and software that implements a set of network protocols for packet data transfer between any network
devices (Figure 1)
MeshLogic standard to be distinct from other products its own network protocol stack that provides the
following key benefits:
▪ Fully homogenous network topology and algorithm of calculation position nodes in spatial;
▪ All nodes are equal and are routers;
▪ Self-organization, and automatic search routers;
▪ Resistance to conflicts between nodes with simultaneously inter transmit data;
▪ High scalability and reliability of data delivery;
▪ Ability all the nodes to work on independent power supply.
▪ Special software for service monitor radio equipment and sensors tools.</p>
      <p>Because all MeshLogic nodes are equal and serve as routers, so there is no need to plan nodes placement in
advance (Figure 2). And it increases tolerance to faults of individual nodes and links and it ensures network ability
to self-adapt to environment conditions.</p>
      <p>The universal modular construction of the ML-SM-N wireless node allows you to install in each node up to 4
interface external modules with various types of sensors in any combinations. Thus, each ML-SM-N wireless node
is a multi-channel (up to 64 external channels) measuring system with a flexible configuration that can be changed
during operation. It is also possible to automatically determine the spatial position of the node, which allows in
case of failure of a single node to rebuild the network topology. At the same time, the nodes independently
determine the optimal data delivery routes and correct network topology and node spatial position.</p>
      <p>Unique devices have been developed for maintenance service of gas emissions monitoring. Tools were
constructed in department of physics and nano system of National Research Nuclear University of Moscow
Engineering Physics in laboratory «Mining and examination of sensor controls on the basis of MDP structure».
Heart of gas analyzer is device D-1. Data device D-1 represent sensing devices for measuring of concentrations of
hydrogen, hydrogen sulphide, dioxide of nitrogen, chlorine and ammonia. A basic element is MDP
(metaldielectric-semiconductor) - structure of type Pd-Ta2O5-SiO2-Si which electric capacitance changes at interaction
with gas. The sensing device can be used for definition of concentrations of any of the numbered gases in a ambient
temperatures from-30 to +40 [Nik07].</p>
      <p>To transmit real-time data and store them on remote server we use GPRS cellular mfodem.</p>
      <p>The database was developed to collect and store online data of gas monitoring. This database provide a secure
centrally administered data repository for information imported from the field data collection system. In addition,
this database connect with GIS system and processing program of time series. The developed geo-information
system of monitoring contains geological, geophysical maps and 3D model of Hibiny and Lovoozero massifs.</p>
    </sec>
    <sec id="sec-3">
      <title>3 Results</title>
      <p>The first technical and methodical solution was tested at the northeastern Lovozero massif (Kola Peninsula), in the
underground Karnasurt Mine exploiting the same name section of the rare-metal deposit. The presence of freely
emitted hydrogen-hydrocarbon gases is a peculiar feature of the Lovozero rare metal deposit related to the
samename agpaitic nepheline-syenite massif. A monitoring station was equipped at a blind drift of mines at +430-m
horizon (~ 300 m below the day surface.</p>
      <p>Unfortunately, low temperatures in the tunnel and high measurement frequency led to a rapid discharge of
autonomous power supplies. The network node together with the power battery allow working autonomously
approximately 2 to 3 weeks. Thus, the working scheme of the network is as follows: The sensor is in the zone
closest to the explosion zone; it is connected by cable to the network node; the node is equipped with sensor radio
control equipment; the system of data collection and transfer of information to a neighboring node and further to
the central hub was established (Figure 3). There were 3-5 nodes in the segment of the network. It was done in
order to duplicate the measurement near the explosion and to maximally secure the hub data collection</p>
      <p>The tests were carried out in two drifts (Figure 4). They are quite different of a level of water saturation
condition. The maximal water flow was in the network segment of upper track number 13. This created the most
unfavorable conditions for radio communication. It was the working network segment, where was the explosion
station.</p>
    </sec>
    <sec id="sec-4">
      <title>4 Conclusions</title>
      <p>This work is the first experiment in technical decision for long-term monitoring of gas emission on the base of
WSN, the high-sensitive sensors of hydrogen and methane, software and equipment attended with a transmitter
network. The advantages of this technology is autonomous work (to several months and more), high-frequency
programmable measurement of gas sensor, low cost (on one node of network), possibility to connect to one node
of supervision a several types of sensors. In addition to scientific task, this monitoring system also allows to
monitor an explosive situation in mines as a result of high concentration of explosive gas mixtures.
[Bas12]
[Nik07]
[Niv09]
[Syv02]</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [Khe10]
          <article-title>[Niv16] [Niv05] [Tim11] Baskakov S.S. Building telecommunication systems based on wireless sensor network</article-title>
          .
          <source>Automation in industry 12</source>
          :
          <fpage>30</fpage>
          -
          <lpage>36</lpage>
          ,
          <year>2012</year>
          <article-title>(in Russian) Khedo K.K</article-title>
          .,
          <string-name>
            <surname>Perseedoss</surname>
            <given-names>R.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mungur</surname>
            <given-names>A</given-names>
          </string-name>
          .
          <article-title>A wireless Sensor Network Air Pollution Monitoring System</article-title>
          .
          <source>International Journal of Wireless &amp; Mobile Networks</source>
          <volume>2</volume>
          (
          <issue>2</issue>
          ):
          <fpage>31</fpage>
          -
          <lpage>45</lpage>
          ,
          <year>2010</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          <string-name>
            <surname>Nikolaev</surname>
            <given-names>I.N.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Litvinov</surname>
            <given-names>A.V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Emelin</surname>
            ,
            <given-names>E.V.</given-names>
          </string-name>
          <article-title>Applicability of MDS-sensors as detector elements of gas analyzers</article-title>
          .
          <source>Sensors &amp; Systems</source>
          <volume>5</volume>
          :
          <fpage>66</fpage>
          -
          <lpage>73</lpage>
          ,
          <year>2007</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          <string-name>
            <surname>Nivin</surname>
            <given-names>V. A.</given-names>
          </string-name>
          <article-title>Free hydrogen-hydrocarbon gases from the Lovozero loparite deposit (Kola Peninsula, NW Russia)</article-title>
          .
          <source>Applied Geochemistry</source>
          ,
          <volume>74</volume>
          :
          <fpage>44</fpage>
          -
          <lpage>55</lpage>
          ,
          <year>2016</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          <string-name>
            <surname>Nivin</surname>
            <given-names>V. A.</given-names>
          </string-name>
          <string-name>
            <surname>Diffusively Disseminated</surname>
          </string-name>
          Hydrogen-Hydrocarbon Gases in Rocks of Nepheline Syenite Complexes Geochemistry International,
          <volume>47</volume>
          (
          <issue>7</issue>
          ):
          <fpage>672</fpage>
          -
          <lpage>691</lpage>
          ,
          <year>2009</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          <string-name>
            <surname>Nivin</surname>
            <given-names>V.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Treloar</surname>
            <given-names>P.J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Konopleva</surname>
            <given-names>N.G.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ikorsky</surname>
            <given-names>S.V.</given-names>
          </string-name>
          <article-title>A review of the occurrence, form and origin of C-bearing species in the Khibiny alkaline igneous complex, Kola Peninsula</article-title>
          ,
          <source>NW Russia. Lithos</source>
          <volume>85</volume>
          (
          <issue>1-4</issue>
          ):
          <fpage>93</fpage>
          -
          <lpage>112</lpage>
          ,
          <year>2005</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          <string-name>
            <surname>Syvorotkin V.L. Deep</surname>
          </string-name>
          <article-title>Degassing of the Earth and Global Catastrophes</article-title>
          . Geoinformtsentr, Moscow,
          <volume>250</volume>
          ,
          <year>2002</year>
          .
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          <string-name>
            <given-names>Timashev S.F.</given-names>
            ,
            <surname>Nivin</surname>
          </string-name>
          <string-name>
            <given-names>V.A.</given-names>
            ,
            <surname>Syvorotkin</surname>
          </string-name>
          <string-name>
            <given-names>V.L.</given-names>
            ,
            <surname>Polyakov</surname>
          </string-name>
          <string-name>
            <surname>Yu. S. .</surname>
          </string-name>
          <article-title>Flicker-noise spectroscopy in dynamic analysis of hydrogen evolution in the Lovozero and Khibiny massifs (Kola Peninsula)</article-title>
          .
          <article-title>Dynamic phenomena in complicated systems</article-title>
          , Kazan, MESRT,
          <fpage>263</fpage>
          -
          <lpage>278</lpage>
          ,
          <year>2011</year>
          (in Russian)
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>