SMCG research on electromagnetic scattering in arid area
This article is devoted to the study of electromagnetic scattering characteristics in arid areas, and proposes environmental monitoring and improvement methods. A four-component soil dielectric model was established to study the relationship of soil dielectric constant with soil moisture and frequen...
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Veröffentlicht in: | Frequenz 2023-08, Vol.77 (7), p.337-345 |
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description | This article is devoted to the study of electromagnetic scattering characteristics in arid areas, and proposes environmental monitoring and improvement methods. A four-component soil dielectric model was established to study the relationship of soil dielectric constant with soil moisture and frequency. As the Monte Carlo Method combined with Gaussian spectral function was used to simulate the actual dry ground, the Sparse Matrix/Canonical Grid (SMCG) algorithm model based on the surface current equation was established to calculate the electromagnetic scattering coefficient of arid areas. To verify the correctness of the proposed algorithm, the results obtained by SMCG was compared with those calculated by Method of Moments (MOM), which showed great consistency. Many results were obtained by using the algorithm in this paper, based on the measured soil data in the southeastern area of Ejin Banner, Inner Mongolia. It was found that soil moisture content, area roughness and incident electromagnetic wave segment had influence on the scattering echo and showed regular change. The results of this paper are of guiding significance for soil moisture monitoring, desertification control and agricultural planting in arid areas. |
doi_str_mv | 10.1515/freq-2022-0108 |
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A four-component soil dielectric model was established to study the relationship of soil dielectric constant with soil moisture and frequency. As the Monte Carlo Method combined with Gaussian spectral function was used to simulate the actual dry ground, the Sparse Matrix/Canonical Grid (SMCG) algorithm model based on the surface current equation was established to calculate the electromagnetic scattering coefficient of arid areas. To verify the correctness of the proposed algorithm, the results obtained by SMCG was compared with those calculated by Method of Moments (MOM), which showed great consistency. Many results were obtained by using the algorithm in this paper, based on the measured soil data in the southeastern area of Ejin Banner, Inner Mongolia. It was found that soil moisture content, area roughness and incident electromagnetic wave segment had influence on the scattering echo and showed regular change. The results of this paper are of guiding significance for soil moisture monitoring, desertification control and agricultural planting in arid areas.</description><identifier>ISSN: 0016-1136</identifier><identifier>EISSN: 2191-6349</identifier><identifier>DOI: 10.1515/freq-2022-0108</identifier><language>eng</language><publisher>Berlin: De Gruyter</publisher><subject>Algorithms ; arid areas ; Aridity ; Desertification ; Electromagnetic radiation ; Electromagnetic scattering ; Environmental monitoring ; Method of moments ; Moisture content ; Moisture effects ; Monte Carlo simulation ; Scattering coefficient ; SMCG ; soil four-component dielectric model ; Soil moisture ; Sparse matrices</subject><ispartof>Frequenz, 2023-08, Vol.77 (7), p.337-345</ispartof><rights>2023 Walter de Gruyter GmbH, Berlin/Boston</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c277t-11c80202fce6398fde8a37e59fdc439daacc6df200ae9d91d8180837d1e6aa353</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Jiang, Fengyun</creatorcontrib><title>SMCG research on electromagnetic scattering in arid area</title><title>Frequenz</title><description>This article is devoted to the study of electromagnetic scattering characteristics in arid areas, and proposes environmental monitoring and improvement methods. A four-component soil dielectric model was established to study the relationship of soil dielectric constant with soil moisture and frequency. As the Monte Carlo Method combined with Gaussian spectral function was used to simulate the actual dry ground, the Sparse Matrix/Canonical Grid (SMCG) algorithm model based on the surface current equation was established to calculate the electromagnetic scattering coefficient of arid areas. To verify the correctness of the proposed algorithm, the results obtained by SMCG was compared with those calculated by Method of Moments (MOM), which showed great consistency. Many results were obtained by using the algorithm in this paper, based on the measured soil data in the southeastern area of Ejin Banner, Inner Mongolia. It was found that soil moisture content, area roughness and incident electromagnetic wave segment had influence on the scattering echo and showed regular change. The results of this paper are of guiding significance for soil moisture monitoring, desertification control and agricultural planting in arid areas.</description><subject>Algorithms</subject><subject>arid areas</subject><subject>Aridity</subject><subject>Desertification</subject><subject>Electromagnetic radiation</subject><subject>Electromagnetic scattering</subject><subject>Environmental monitoring</subject><subject>Method of moments</subject><subject>Moisture content</subject><subject>Moisture effects</subject><subject>Monte Carlo simulation</subject><subject>Scattering coefficient</subject><subject>SMCG</subject><subject>soil four-component dielectric model</subject><subject>Soil moisture</subject><subject>Sparse matrices</subject><issn>0016-1136</issn><issn>2191-6349</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNptUEtLAzEQDqJg0V49L3jemkl287gIUrQKFQ_qOQzJbN3S7rbJFum_N0sFL85hZg7fY-Zj7Ab4DGqo75pI-1JwIUoO3JyxiQALpZKVPWcTzkGVAFJdsmlKa56rslArM2Hm_XW-KCIlwui_ir4raEN-iP0WVx0NrS-Sx2Gg2Harou0KjG3IjfCaXTS4STT9nVfs8-nxY_5cLt8WL_OHZemF1kN29YbnuxpPSlrTBDIoNdW2Cb6SNiB6r0IjOEeywUIwYLiROgApRFnLK3Z70t3Ffn-gNLh1f4hdtnTCSGkMVFZl1OyE8rFPKVLjdrHdYjw64G4MyI0BuTEgNwaUCfcnwjdu8neBVvFwzMuf-v9ErbXLtlr-AJvnbK8</recordid><startdate>20230828</startdate><enddate>20230828</enddate><creator>Jiang, Fengyun</creator><general>De Gruyter</general><general>Walter de Gruyter GmbH</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>H8D</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20230828</creationdate><title>SMCG research on electromagnetic scattering in arid area</title><author>Jiang, Fengyun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c277t-11c80202fce6398fde8a37e59fdc439daacc6df200ae9d91d8180837d1e6aa353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>arid areas</topic><topic>Aridity</topic><topic>Desertification</topic><topic>Electromagnetic radiation</topic><topic>Electromagnetic scattering</topic><topic>Environmental monitoring</topic><topic>Method of moments</topic><topic>Moisture content</topic><topic>Moisture effects</topic><topic>Monte Carlo simulation</topic><topic>Scattering coefficient</topic><topic>SMCG</topic><topic>soil four-component dielectric model</topic><topic>Soil moisture</topic><topic>Sparse matrices</topic><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Fengyun</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Frequenz</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiang, Fengyun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SMCG research on electromagnetic scattering in arid area</atitle><jtitle>Frequenz</jtitle><date>2023-08-28</date><risdate>2023</risdate><volume>77</volume><issue>7</issue><spage>337</spage><epage>345</epage><pages>337-345</pages><issn>0016-1136</issn><eissn>2191-6349</eissn><abstract>This article is devoted to the study of electromagnetic scattering characteristics in arid areas, and proposes environmental monitoring and improvement methods. A four-component soil dielectric model was established to study the relationship of soil dielectric constant with soil moisture and frequency. As the Monte Carlo Method combined with Gaussian spectral function was used to simulate the actual dry ground, the Sparse Matrix/Canonical Grid (SMCG) algorithm model based on the surface current equation was established to calculate the electromagnetic scattering coefficient of arid areas. To verify the correctness of the proposed algorithm, the results obtained by SMCG was compared with those calculated by Method of Moments (MOM), which showed great consistency. Many results were obtained by using the algorithm in this paper, based on the measured soil data in the southeastern area of Ejin Banner, Inner Mongolia. It was found that soil moisture content, area roughness and incident electromagnetic wave segment had influence on the scattering echo and showed regular change. The results of this paper are of guiding significance for soil moisture monitoring, desertification control and agricultural planting in arid areas.</abstract><cop>Berlin</cop><pub>De Gruyter</pub><doi>10.1515/freq-2022-0108</doi><tpages>09</tpages></addata></record> |
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subjects | Algorithms arid areas Aridity Desertification Electromagnetic radiation Electromagnetic scattering Environmental monitoring Method of moments Moisture content Moisture effects Monte Carlo simulation Scattering coefficient SMCG soil four-component dielectric model Soil moisture Sparse matrices |
title | SMCG research on electromagnetic scattering in arid area |
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