The use of the Monte Carlo method for predicting environmental risk in construction zones
The article analyzes the problem of determining environmental risk. The author took into account the features of natural landscapes when choosing a model of environmental risk in order to predict the level of interaction of the construction project with the environment. The matrix of construction zo...
Saved in:
Published in | Journal of physics. Conference series Vol. 1614; no. 1; pp. 12083 - 12097 |
---|---|
Main Author | |
Format | Journal Article |
Language | English |
Published |
Bristol
IOP Publishing
01.08.2020
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | The article analyzes the problem of determining environmental risk. The author took into account the features of natural landscapes when choosing a model of environmental risk in order to predict the level of interaction of the construction project with the environment. The matrix of construction zones distributions and the risk of environmental vulnerability are compiled on the bases of the study of the anthropogenic impact parameters on natural landscapes. Monte Carlo simulation method allows predicting the process of techno genesis relative to the natural environment within the limits of confidence interval. The industrial territories of the Far North and the regions equated to them are characterized by the highest probability and level of risk, as well as vulnerability. The impact of techno genesis on all four components of the environment (atmospheric air, hydrosphere, lithosphere and biosphere) in all areas of construction work normalization will continue to increase. This is indicated by trend graphs of the predicted values of anthropogenic impact within the industrial and residential zones. The quantitative characteristic of possible ecosystem "failures" as a result of anthropogenic interference is analyzed using a point scale. The worst-case scenario can be defined as post-catastrophic (ultra-high risk, emergency measures in emergency situations, score 26-30). The reliability of the simulated forecast is confirmed by the anthropogenic accident in Norilsk in June 2020, the largest and most unprecedented in the history of the Arctic. |
---|---|
AbstractList | The article analyzes the problem of determining environmental risk. The author took into account the features of natural landscapes when choosing a model of environmental risk in order to predict the level of interaction of the construction project with the environment. The matrix of construction zones distributions and the risk of environmental vulnerability are compiled on the bases of the study of the anthropogenic impact parameters on natural landscapes. Monte Carlo simulation method allows predicting the process of techno genesis relative to the natural environment within the limits of confidence interval. The industrial territories of the Far North and the regions equated to them are characterized by the highest probability and level of risk, as well as vulnerability. The impact of techno genesis on all four components of the environment (atmospheric air, hydrosphere, lithosphere and biosphere) in all areas of construction work normalization will continue to increase. This is indicated by trend graphs of the predicted values of anthropogenic impact within the industrial and residential zones. The quantitative characteristic of possible ecosystem “failures” as a result of anthropogenic interference is analyzed using a point scale. The worst-case scenario can be defined as post-catastrophic (ultra-high risk, emergency measures in emergency situations, score 26-30). The reliability of the simulated forecast is confirmed by the anthropogenic accident in Norilsk in June 2020, the largest and most unprecedented in the history of the Arctic. Abstract The article analyzes the problem of determining environmental risk. The author took into account the features of natural landscapes when choosing a model of environmental risk in order to predict the level of interaction of the construction project with the environment. The matrix of construction zones distributions and the risk of environmental vulnerability are compiled on the bases of the study of the anthropogenic impact parameters on natural landscapes. Monte Carlo simulation method allows predicting the process of techno genesis relative to the natural environment within the limits of confidence interval. The industrial territories of the Far North and the regions equated to them are characterized by the highest probability and level of risk, as well as vulnerability. The impact of techno genesis on all four components of the environment (atmospheric air, hydrosphere, lithosphere and biosphere) in all areas of construction work normalization will continue to increase. This is indicated by trend graphs of the predicted values of anthropogenic impact within the industrial and residential zones. The quantitative characteristic of possible ecosystem “failures” as a result of anthropogenic interference is analyzed using a point scale. The worst-case scenario can be defined as post-catastrophic (ultra-high risk, emergency measures in emergency situations, score 26-30). The reliability of the simulated forecast is confirmed by the anthropogenic accident in Norilsk in June 2020, the largest and most unprecedented in the history of the Arctic. |
Author | Smirnova, E |
Author_xml | – sequence: 1 givenname: E surname: Smirnova fullname: Smirnova, E email: esmirnovaee@mail.ru organization: Saint Petersburg State University of Architecture and Civil Engineering , Russia |
BookMark | eNqFkFtLwzAUx4NMcJt-BgO-CbO5tEn6KMMrEwXng0-hl1PXuSU1aQX99KZUJoLgeTkHzv9_Lr8JGhlrAKFjSs4oUSqiMmYzkaQiooLGEY0IZUTxPTTedUa7WqkDNPF-TQgPIcfoebkC3HnAtsJtKO-saQHPM7exeAvtypa4sg43Dsq6aGvzgsG8186aLZg222BX-1dcG1xY41vXBYk1-DNc6A_RfpVtPBx95yl6urxYzq9ni_urm_n5YlbEQrQzYHGpuIQSeMKEyvMiZUUKUqWMkoqoHASTWR4DLTjhuSgpJ2lBq0Sw0FOKT9HJMLdx9q0D3-q17ZwJKzVLJJE8fC2DSg6qwlnvHVS6cfU2cx-aEt1z1D0h3dPSPUdN9cAxOPngrG3zM_p_1-kfrtuH-eNvoW7Kin8BRqyEUg |
CitedBy_id | crossref_primary_10_3390_en15186736 crossref_primary_10_1051_e3sconf_202337105041 |
Cites_doi | 10.4236/jep.2012.31005 10.4236/jsea.2015.810051 10.1016/j.ress.2015.03.013 10.1051/e3sconf/202017514015 10.1016/j.ssci.2014.03.002 10.1016/j.ecoleng.2016.02.043 10.1016/j.ejor.2015.12.023 10.1016/j.ejor.2015.06.032 10.1016/j.psep.2015.07.005 10.1111/risa.12132 10.1051/e3sconf/202016407006 10.17059/2018-4-26 10.1051/matecconf/201819604022 |
ContentType | Journal Article |
Copyright | Published under licence by IOP Publishing Ltd 2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
Copyright_xml | – notice: Published under licence by IOP Publishing Ltd – notice: 2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
DBID | O3W TSCCA AAYXX CITATION 8FD 8FE 8FG ABUWG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO H8D HCIFZ L7M P5Z P62 PIMPY PQEST PQQKQ PQUKI PRINS |
DOI | 10.1088/1742-6596/1614/1/012083 |
DatabaseName | IOP_英国物理学会OA刊 IOPscience (Open Access) CrossRef Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) ProQuest Central Advanced Technologies & Aerospace Database (1962 - current) ProQuest Central Essentials AUTh Library subscriptions: ProQuest Central Technology Collection ProQuest One Community College ProQuest Central Aerospace Database SciTech Premium Collection (Proquest) (PQ_SDU_P3) Advanced Technologies Database with Aerospace ProQuest Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest - Publicly Available Content Database ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China |
DatabaseTitle | CrossRef Publicly Available Content Database Advanced Technologies & Aerospace Collection Technology Collection Technology Research Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central Advanced Technologies & Aerospace Database Aerospace Database ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest One Academic Advanced Technologies Database with Aerospace |
DatabaseTitleList | Publicly Available Content Database CrossRef |
Database_xml | – sequence: 1 dbid: O3W name: IOP_英国物理学会OA刊 url: http://iopscience.iop.org/ sourceTypes: Enrichment Source Publisher – sequence: 2 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Physics |
DocumentTitleAlternate | The use of the Monte Carlo method for predicting environmental risk in construction zones |
EISSN | 1742-6596 |
ExternalDocumentID | 10_1088_1742_6596_1614_1_012083 JPCS_1614_1_012083 |
GroupedDBID | 1JI 29L 2WC 4.4 5B3 5GY 5PX 5VS 7.Q AAJIO AAJKP ABHWH ACAFW ACHIP AEFHF AEJGL AFKRA AFYNE AIYBF AKPSB ALMA_UNASSIGNED_HOLDINGS ARAPS ASPBG ATQHT AVWKF AZFZN BENPR BGLVJ CCPQU CEBXE CJUJL CRLBU CS3 DU5 E3Z EBS EDWGO EQZZN F5P FRP GROUPED_DOAJ GX1 HCIFZ HH5 IJHAN IOP IZVLO J9A KNG KQ8 LAP N5L N9A O3W OK1 P2P PIMPY PJBAE RIN RNS RO9 ROL SY9 T37 TR2 TSCCA UCJ W28 XSB ~02 AAYXX CITATION 8FD 8FE 8FG ABUWG AZQEC DWQXO H8D L7M P62 PQEST PQQKQ PQUKI PRINS |
ID | FETCH-LOGICAL-c466t-e24d837ede35268bbc92c9e789210f08be627ab4e1c303b6d1309c1f5628be883 |
IEDL.DBID | BENPR |
ISSN | 1742-6588 |
IngestDate | Fri Sep 13 09:07:26 EDT 2024 Fri Aug 23 01:03:26 EDT 2024 Thu Jan 07 14:56:20 EST 2021 Wed Aug 21 03:33:31 EDT 2024 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Language | English |
License | Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c466t-e24d837ede35268bbc92c9e789210f08be627ab4e1c303b6d1309c1f5628be883 |
OpenAccessLink | https://www.proquest.com/docview/2570736587/abstract/?pq-origsite=%requestingapplication% |
PQID | 2570736587 |
PQPubID | 4998668 |
PageCount | 15 |
ParticipantIDs | iop_journals_10_1088_1742_6596_1614_1_012083 proquest_journals_2570736587 crossref_primary_10_1088_1742_6596_1614_1_012083 |
PublicationCentury | 2000 |
PublicationDate | 20200801 |
PublicationDateYYYYMMDD | 2020-08-01 |
PublicationDate_xml | – month: 08 year: 2020 text: 20200801 day: 01 |
PublicationDecade | 2020 |
PublicationPlace | Bristol |
PublicationPlace_xml | – name: Bristol |
PublicationTitle | Journal of physics. Conference series |
PublicationTitleAlternate | J. Phys.: Conf. Ser |
PublicationYear | 2020 |
Publisher | IOP Publishing |
Publisher_xml | – name: IOP Publishing |
References | Abrahamsen (JPCS_1614_1_012083bib18) 2012; 105 Knight (JPCS_1614_1_012083bib2) 2013 Le Coze (JPCS_1614_1_012083bib20) 2014; 67 Borch (JPCS_1614_1_012083bib21) 2016 Aven (JPCS_1614_1_012083bib17) 2016; 253 Smirnova (JPCS_1614_1_012083bib16) 2020; 175 Mander (JPCS_1614_1_012083bib29) 2015; 4 Bolsherotov (JPCS_1614_1_012083bib25) 2012 Yuan (JPCS_1614_1_012083bib8) 2012; 3 Tabim (JPCS_1614_1_012083bib32); 8 Borgonovo (JPCS_1614_1_012083bib4) 2015 Salah (JPCS_1614_1_012083bib10) 2015 Borgonovo (JPCS_1614_1_012083bib13) 2016; 248 Slesarev (JPCS_1614_1_012083bib27) 2018; 196 Smirnova (JPCS_1614_1_012083bib24) 2020 Aven (JPCS_1614_1_012083bib5) 2014 Gollier (JPCS_1614_1_012083bib6) 2018 Loginov (JPCS_1614_1_012083bib26) 2018; 14 Aronson (JPCS_1614_1_012083bib30) 2016; 91 Smirnova (JPCS_1614_1_012083bib12) 2020; 164 Grote (JPCS_1614_1_012083bib22) 2009 Jaeger (JPCS_1614_1_012083bib3) 2013 Aven (JPCS_1614_1_012083bib9) 2014; 34 Lundberg (JPCS_1614_1_012083bib23) 2015; 141 Guerrero (JPCS_1614_1_012083bib14) 2010 Khan (JPCS_1614_1_012083bib19) 2015; 98 Kreider (JPCS_1614_1_012083bib1) 2012; 9 Pastorok (JPCS_1614_1_012083bib28) 2008; 2 Redlarski (JPCS_1614_1_012083bib31) 2015; 1 Khan (JPCS_1614_1_012083bib7) 2015; 98 Smirnova (JPCS_1614_1_012083bib11) 2020; 157 Veres (JPCS_1614_1_012083bib15) 2013; 22 |
References_xml | – volume: 3 start-page: 41 year: 2012 ident: JPCS_1614_1_012083bib8 publication-title: J. Environ. Protect. doi: 10.4236/jep.2012.31005 contributor: fullname: Yuan – volume: 105 start-page: 472 year: 2012 ident: JPCS_1614_1_012083bib18 publication-title: Reliab. Eng. Sys. Safe. contributor: fullname: Abrahamsen – volume: 8 start-page: 539 ident: JPCS_1614_1_012083bib32 publication-title: J. Soft. Eng. Appl. doi: 10.4236/jsea.2015.810051 contributor: fullname: Tabim – volume: 9 year: 2012 ident: JPCS_1614_1_012083bib1 publication-title: Undergrad. Econ. Rev. contributor: fullname: Kreider – volume: 4 start-page: 532 year: 2015 ident: JPCS_1614_1_012083bib29 contributor: fullname: Mander – volume: 141 start-page: 22 year: 2015 ident: JPCS_1614_1_012083bib23 publication-title: Reliab. Eng. Sys. Safe. doi: 10.1016/j.ress.2015.03.013 contributor: fullname: Lundberg – volume: 2 start-page: 1165 year: 2008 ident: JPCS_1614_1_012083bib28 contributor: fullname: Pastorok – volume: 175 year: 2020 ident: JPCS_1614_1_012083bib16 publication-title: E3S Web of Conf. doi: 10.1051/e3sconf/202017514015 contributor: fullname: Smirnova – year: 2013 ident: JPCS_1614_1_012083bib3 contributor: fullname: Jaeger – volume: 67 start-page: 1 year: 2014 ident: JPCS_1614_1_012083bib20 publication-title: Safe. Sci. doi: 10.1016/j.ssci.2014.03.002 contributor: fullname: Le Coze – volume: 91 start-page: 392 year: 2016 ident: JPCS_1614_1_012083bib30 publication-title: Ecol. Eng. doi: 10.1016/j.ecoleng.2016.02.043 contributor: fullname: Aronson – year: 2016 ident: JPCS_1614_1_012083bib21 contributor: fullname: Borch – year: 2009 ident: JPCS_1614_1_012083bib22 contributor: fullname: Grote – volume: 253 start-page: 1 year: 2016 ident: JPCS_1614_1_012083bib17 publication-title: Europ. J. Operat. Res. doi: 10.1016/j.ejor.2015.12.023 contributor: fullname: Aven – volume: 157 year: 2020 ident: JPCS_1614_1_012083bib11 publication-title: E3S Web of Conf. contributor: fullname: Smirnova – volume: 22 start-page: 1698 year: 2013 ident: JPCS_1614_1_012083bib15 publication-title: Ann. Univ. Oradea: Econ. Sci. contributor: fullname: Veres – volume: 248 start-page: 869 year: 2016 ident: JPCS_1614_1_012083bib13 publication-title: Europ. J. Oper. Res. doi: 10.1016/j.ejor.2015.06.032 contributor: fullname: Borgonovo – year: 2015 ident: JPCS_1614_1_012083bib10 contributor: fullname: Salah – volume: 98 start-page: 116 year: 2015 ident: JPCS_1614_1_012083bib7 publication-title: Proc. Safe. Environ. Protec. doi: 10.1016/j.psep.2015.07.005 contributor: fullname: Khan – year: 2018 ident: JPCS_1614_1_012083bib6 contributor: fullname: Gollier – volume: 1 year: 2015 ident: JPCS_1614_1_012083bib31 publication-title: BioMed Res. Int. contributor: fullname: Redlarski – year: 2013 ident: JPCS_1614_1_012083bib2 contributor: fullname: Knight – volume: 98 start-page: 116 year: 2015 ident: JPCS_1614_1_012083bib19 publication-title: Proc. Safe. Environ. Protec. doi: 10.1016/j.psep.2015.07.005 contributor: fullname: Khan – year: 2020 ident: JPCS_1614_1_012083bib24 article-title: Ensuring environmental safety at Garabogaz by identifying environmental risks (in press) contributor: fullname: Smirnova – volume: 34 start-page: 1164 year: 2014 ident: JPCS_1614_1_012083bib9 publication-title: Risk Anal doi: 10.1111/risa.12132 contributor: fullname: Aven – year: 2014 ident: JPCS_1614_1_012083bib5 contributor: fullname: Aven – volume: 164 year: 2020 ident: JPCS_1614_1_012083bib12 publication-title: E3S Web of Conf. doi: 10.1051/e3sconf/202016407006 contributor: fullname: Smirnova – year: 2010 ident: JPCS_1614_1_012083bib14 contributor: fullname: Guerrero – year: 2012 ident: JPCS_1614_1_012083bib25 contributor: fullname: Bolsherotov – volume: 14 start-page: 1399 year: 2018 ident: JPCS_1614_1_012083bib26 publication-title: Ekonomika regiona Economy of Region doi: 10.17059/2018-4-26 contributor: fullname: Loginov – start-page: 1265 year: 2015 ident: JPCS_1614_1_012083bib4 contributor: fullname: Borgonovo – volume: 196 year: 2018 ident: JPCS_1614_1_012083bib27 publication-title: MATEC Web of Conf. doi: 10.1051/matecconf/201819604022 contributor: fullname: Slesarev |
SSID | ssj0033337 |
Score | 2.3191335 |
Snippet | The article analyzes the problem of determining environmental risk. The author took into account the features of natural landscapes when choosing a model of... Abstract The article analyzes the problem of determining environmental risk. The author took into account the features of natural landscapes when choosing a... |
SourceID | proquest crossref iop |
SourceType | Aggregation Database Enrichment Source Publisher |
StartPage | 12083 |
SubjectTerms | Biosphere Confidence intervals Human influences Impact prediction Lithosphere Monte Carlo simulation Physics Risk levels Statistical analysis |
SummonAdditionalLinks | – databaseName: IOP_英国物理学会OA刊 dbid: O3W link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1dS8MwFA1uIvgifuJ0SkAfjWuaNh-PMhxjMBV0OJ9Ck6YgyFq2-eKv96YfbENE7FOht2k5aXNPyLknCF3HUrA0ZjGxkHtIpEJKkjAQBLhDYE1Ks4T52uHxAx9OotE0nq7XwuRFPfTfwmllFFxBWAviZA84dEh4rHgP2ErUoz1f_ylZC21D8g29rO-RvTajMYNDVEWR_iYpG43X7w1tZKgWvMWPYbrMPYN9tFeTRnxXveIB2nKzQ7RTijft4gi9QV_jz4XDeYaBz-Gxd5zC_WT-keNqh2gM1BQXc78o42XOeK28Ddr18nL8PsM2X9nJ4i9v4n-MJoP7l_6Q1FsmEBtxviQujFKYcrrUed97aYxVoVVOADA0yAJpHA9FYiJHLeQuw1NIYcrSDFgQXJOSnaD2DNo_RVg5zq3wXjNURbEwKnNGBCY1qTCGWtlBQQOTLipnDF2uaEupPbLaI6s9sprqCtkOugE4df2XLP4Ov9oIHz31nzcjdJFmHdRtemcV6vfmEwz6W5z975nnaDf0M-pS4tdFbUDdXQDtWJrL8rv6BsWdyB4 priority: 102 providerName: IOP Publishing |
Title | The use of the Monte Carlo method for predicting environmental risk in construction zones |
URI | https://iopscience.iop.org/article/10.1088/1742-6596/1614/1/012083 https://www.proquest.com/docview/2570736587/abstract/ |
Volume | 1614 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwhV1LSxxBEC5cRfAiMSpuoktDckwz0_PqnpPExXUV1MVEYk7N9GNAkJ2Ju17y662aB5sloHPow3TRh6-6q6q7XgBfUyVjl8Ypt6h7eJJHghdRKDnaDqE1TpRFTLnD1zfZ9D65ekgfNmDa58JQWGUvExtB7SpLb-QBdVuTMepLGRSGXgHsMjit_3DqH0V-1q6ZxgC2IpGQw3br7PxmdtdL5Rg_2SZHRhxXUX2sF14Au395FqD5kwQioIRSFa9pqsFjVf8nrhsdNPkAu53xyL633N6DDT__CNtNEKdd7MNv5Dl7WXhWlQztOnZNlafYuHh-qljbKZqhicrqZ3LOULgz-yfNDdelMHP2OGe2WpWVZX-pmP8B3E_Of46nvGudwG2SZUvuo8Th1dM7T_XvlTE2j2zupUJmhGWojM8iWZjEC4s6zGQOVVluRYnWEM4pFR_C5hzXPwKW-yyzkmrOiDxJpclLb2RonHHSGGHVEMIeJl23FTJ049lWShOympDVhKwWukV2CN8QTt2dlsX75F_WyK9m4x_rFLp25RCOe-6sSFe75tPb059hJ6KbdBPadwybiLI_QXNjaUYwUJOLUbefRiT6Uxwvb2c43sa_XgHgbtDd |
link.rule.ids | 315,786,790,12792,21416,27957,27958,33408,33779,38900,38925,43635,43840,53877,53903 |
linkProvider | ProQuest |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwhV1LSwMxEA5aEb2IT6xWDejR0H0nexIp1lrbIthCPYXmsVCQ7trWi7_emX1Qi6B73Mzm8E12vkkyD0JuQsF9E_oh08A9LIg9l008hzPwHRytjJtMfMwd7g-izijojsNxeeC2KMMqK5uYG2qTajwjb2K3Ne4DX_K77INh1yi8XS1baGySrcAH6sRM8fZjZYl9eHiREOkx-FJU8V2w6SvfxVETXJ6g6TYxiVT4a-y0OU2zXyY65532PtkrHUZ6X2j4gGzY2SHZzgM39eKIvIGe6efC0jSh4MvRPlaboq3J_D2lRXdoCm4pzeZ4IYMhzvRHahvMi6HldDqjOl2VkqVfWMD_mIzaD8NWh5XtEpgOomjJrBcY2G5aY7HmvVBKx56OLRegACdxhLKRxycqsK4G3lKRAfqKtZuABwRjQvgnpDaD-U8JjW0UaY51Ztw4CLmKE6u4o4wyXClXizpxKphkVlTFkPltthASkZWIrERkpSsLZOvkFuCU5R-y-F_8ek28-9J6XZeQmUnqpFFpZyW6Wilnfw9fkZ3OsN-TvafB8znZ9XAnnYf2NUgNELcX4G4s1WW-pr4BZ2HK2w |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1ZSwMxEB60ovjiLdYzoI9u906yj1It9agWtKBPYZPNiijdYutLf72TPaxVRMR9WthJNpmZZL6QOQCOQs78JPRDS6HtsYLIc63Yc5iF2MFRMnHT2Dexw51r2u4FF_fh_Qy0PmJhskG59TfwtUgUXLCwdIjjNmJoz6JhRG1EK4Ht2ib-k_v2IElnYQ4XMDOHsPObbrUj-_iwIjDSNOS88vP6ubMpKzWLI_m2Vef2p7UMj9XIC7eT58bbSDbU-EtSx_9PbQWWSohKTopWqzCj-2swn7uKquE6PKBmkbehJllKED2SjslvRZrx60tGinrUBIEwGbyaKyDjVE0-BdNhv8aZnTz1icomyWvJ2JQM2IBe6-yu2bbKAg2WCigdWdoLEjzg6kSbLPtcShV5KtKMo8id1OFSU4_FMtCuQkspaYIGM1JuipgLv3Hub0Ktj_1vAYk0pYqZzDZuFIRMRqmWzJGJTJiUruJ1cCqBiEGRh0Pk9-ecC8M1YbgmDNeEKwqu1eEY-SzKNTn8nfxwivyi27ydphAohjrsVnowITWVAJmPmsW2__bPA1jonrbE1fn15Q4seuYon_sW7kINBaD3EO-M5H6uzO-ix-2S |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+use+of+the+Monte+Carlo+method+for+predicting+environmental+risk+in+construction+zones&rft.jtitle=Journal+of+physics.+Conference+series&rft.au=Smirnova%2C+E&rft.date=2020-08-01&rft.issn=1742-6588&rft.eissn=1742-6596&rft.volume=1614&rft.issue=1&rft.spage=12083&rft_id=info:doi/10.1088%2F1742-6596%2F1614%2F1%2F012083&rft.externalDBID=n%2Fa&rft.externalDocID=10_1088_1742_6596_1614_1_012083 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1742-6588&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1742-6588&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1742-6588&client=summon |