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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">environment</journal-id><journal-title-group><journal-title xml:lang="ru">Природообустройство</journal-title><trans-title-group xml:lang="en"><trans-title>Prirodoobustrojstvo</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1997-6011</issn><publisher><publisher-name>РГАУ-МСХА имени К.А. Тимирязева</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26897/1997-6011-2026-1-55-62</article-id><article-id custom-type="elpub" pub-id-type="custom">environment-951</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ГИДРОТЕХНИЧЕСКОЕ СТРОИТЕЛЬСТВО</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>HYDRAULIC ENGINEERING CONSTRUCTION</subject></subj-group></article-categories><title-group><article-title>Прогноз технического состояния низконапорных грунтовых плотин с использованием методов машинного обучения</article-title><trans-title-group xml:lang="en"><trans-title>Prediction of the technical condition of low-pressure earth dams using machine training methods</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3968-0563</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Снежко</surname><given-names>В. Л.</given-names></name><name name-style="western" xml:lang="en"><surname>Snezhko</surname><given-names>V. L.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Вера Леонидовна Снежко, д-р техн. наук, профессор,профессор кафедры гидравлики и гидротехнического строительства</p><p>AuthorID: 696880;</p><p>Scopus Author ID: 57209333075;</p><p>ResearcherID: ABG-5645-2020</p><p>129337, г. Москва, Ярославское шоссе, 26</p></bio><bio xml:lang="en"><p>Vera L. Snezhko, DSs (Engin), Professor, Professor of the Department of Hydraulics and Hydraulic Engineering</p><p>AuthorID: 696880;</p><p>Scopus Author ID: 57209333075;</p><p>ResearcherID: ABG-5645-2020</p><p>129337, Moscow, Yaroslavskoe shosse, 26</p></bio><email xlink:type="simple">VL_Snejko@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Хомячков</surname><given-names>П. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Khomyachkov</surname><given-names>P. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Павел Евгеньевич Хомячков, магистрант кафедры гидравлики и гидротехнического строительства</p><p>129337, г. Москва, Ярославское шоссе, 26</p></bio><bio xml:lang="en"><p>Pavel E. Khomyachkov, Master’s Degree Student of the Department of Hydraulics and Hydraulic Engineering</p><p>129337, Moscow, Yaroslavskoe shosse, 26</p></bio><email xlink:type="simple">khomyachkov.pavel@list.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Национальный исследовательский Московский государственный строительный университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>National Research Moscow State University of Civil Engineering</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>04</day><month>04</month><year>2026</year></pub-date><volume>0</volume><issue>1</issue><fpage>55</fpage><lpage>62</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Снежко В.Л., Хомячков П.Е., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Снежко В.Л., Хомячков П.Е.</copyright-holder><copyright-holder xml:lang="en">Snezhko V.L., Khomyachkov P.E.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://environment.timacad.ru/jour/article/view/951">https://environment.timacad.ru/jour/article/view/951</self-uri><abstract><p>Цель исследований – разработка вероятностной модели прогноза технического состояния однородных грунтовых плотин IV класса для сооружений, возраст которых превысил 25 лет, эксплуатирующихся без персонала и применения контрольно-измерительной аппаратуры. Материалами исследований стали данные разового экспертного обследования, выполненного в 1991-2020 гг. на более чем 1000 бесхозяйных гидроузлах Московского региона. Использование методов искусственного интеллекта – в частности, машинного обучения, для выборки, включающей в себя 947 плотин, и последующая валидация прогнозной модели на выборке из 160 сооружений подтвердили высокую предсказательную способность полученной модели. Модель имела хорошие статистические оценки качества; точность классификации по ошибкам второго рода составляла 89% по обучающей выборке и 94% по валидационной выборке. В результате исследований выявлена степень влияния возраста плотины, ее высоты и наличия крепления верхового откоса на сохранение ее работоспособного состояния. Модель проста в использовании и не требует специализированного программного обеспечения. Результаты исследований могут быть использованы собственниками сооружений или службами эксплуатации для планирования на перспективу финансовых средств, необходимых для поддержания плотин в работоспособном состоянии.</p></abstract><trans-abstract xml:lang="en"><p>The purpose of the research is to develop a probabilistic model for predicting the technical condition of homogeneous earth dams of Class IV for structures that are more than 25 years old and are operated without personnel or instrumentation. The research is based on data from a one-time expert survey conducted between 1991 and 2020 on more than 1,000 unowned hydroelectric facilities in the Moscow region. The use of artificial intelligence methods, particularly machine training, for a sample of 947 dams, and the subsequent validation of the predictive model on a sample of 160 structures, confirmed the high predictive ability of the resulting model. The model had good statistical quality scores, with a classification accuracy of 89% for second-class errors on the training sample and 94% on the validation sample. As a result of the research, the degree of influence of the dam’s age, its height, and the presence of a top slope reinforcement on the dam’s ability to maintain its operational condition has been identified. The model is easy to use and does not require specialized software. The research results can be used by facility owners or maintenance services to plan for the future financial resources necessary to maintain the dams in an operational condition.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>низконапорные гидротехнические сооружения</kwd><kwd>грунтовая плотина</kwd><kwd>техническое состояние</kwd><kwd>вероятностный прогноз</kwd><kwd>машинное обучение</kwd></kwd-group><kwd-group xml:lang="en"><kwd>low-pressure hydraulic structures</kwd><kwd>earth dam</kwd><kwd>technical condition</kwd><kwd>probabilistic forecast</kwd><kwd>machine training</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Козлов Д.В. Безопасность и эксплуатационная работоспособность грунтовых плотин на водных объектах Московского региона // Гидротехника. 2021. № 1. С. 56-59. EDN: HHGKET</mixed-citation><mixed-citation xml:lang="en">Kozlov D.V. Safety and operational performance of earth dams on water bodies of the Moscow region // Hydraulic engineering. 2021. No. 1. P. 56-59. EDN: HHGKET</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Dam T.T., Pisaniello J., Burritt R. Small dams: A big cause for concern in Vietnam // International Water Power and Dam Construction. 2011. Vol. 63. Pр. 18-22.</mixed-citation><mixed-citation xml:lang="en">Dam T.T., Pisaniello J., Burritt R. Small dams: A big cause for concern in Vietnam // International Water Power and Dam Construction. 2011. Vol. 63. P. 18-22.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Jun S.M., Kang M.S., Song I., Hwan S.H., Kim K., Park J. Effects of agricultural reservoir rehabilitationon their flood control capacities // J. Korean Soc. Agric. Eng. 2013. Vol. 55. Pр. 57-68.</mixed-citation><mixed-citation xml:lang="en">Jun S.M., Kang M.S., Song I., Hwan S.H., Kim K., Park J. Effects of agricultural reservoir rehabilitationon their flood control capacities // J. Korean Soc. Agric. Eng. 2013. Vol. 55. P. 57-68.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Kondolf M., Yi J. Dam Renovation to Prolong Reservoir Life and Mitigate Dam Impacts // Water. 2022. Vol. 14. 1464. https://doi.org/10.3390/w14091464</mixed-citation><mixed-citation xml:lang="en">Kondolf M., Yi J. Dam Renovation to Prolong Reservoir Life and Mitigate Dam Impacts // Water. 2022. Vol. 14. 1464. https://doi.org/10.3390/w14091464</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Amini A., Abdollahi A., Hariri-Ardebili M.A., Lall U. Copula-based reliability and sensitivity analysis of aging dams: Adaptive Kriging and polynomial chaos Kriging methods // Applied Soft Computing. 2021. Vol. 109. 107524. https://doi.org/10.1016/j.asoc.2021.107524</mixed-citation><mixed-citation xml:lang="en">Amini A., Abdollahi A., Hariri-Ardebili M.A., Lall U. Copula-based reliability and sensitivity analysis of aging dams: Adaptive Kriging and polynomial chaos Kriging methods // Applied Soft Computing. 2021. Vol. 109. 107524. https://doi.org/10.1016/j.asoc.2021.107524</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Pisaniello J., Mckay J. (2003). A Farmer-Friendly Dam Safety Evaluation Procedure As A Key Part of Modern Australian Water Laws // Water International. 2003. Vol. 28. Pр. 90-102. https://doi.org/10.1080/02508060308691668</mixed-citation><mixed-citation xml:lang="en">Pisaniello J., Mckay J. (2003). A Farmer-Friendly Dam Safety Evaluation Procedure As A Key Part of Modern Australian Water Laws // Water International. 2003. Vol. 28. P. 90-102. https://doi.org/10.1080/02508060308691668</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Белов П.Г. Априорная оценка и снижение риска аварии гидротехнического сооружения на основе моделирования // Безопасность труда в промышленности. 2019. № 2. С. 26-34. https://doi.org/10.24000/0409-2961-2019-2-26-34</mixed-citation><mixed-citation xml:lang="en">Belov P.G. A priori assessment and reduction of the risk of accident of a hydraulic structure based on modeling // Occupational safety in industry. 2019. No. 2. P. 26-34. https://doi.org/10.24000/0409-2961-2019-2-26-34</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Едаменко А.С., Лежанко В.А. Диагностика опасностей гидротехнических сооружений на примере Белгородского // Технологии техносферной безопасности. 2020. № 2 (88). С. 63-73. https://doi.org/10.25257/TTS.2020.2.88.63-73</mixed-citation><mixed-citation xml:lang="en">Edamenko A.S., Lezhanko V.A. Diagnostics of hazards of hydraulic structures using the example of Belgorod // Technologies of technosphere safety. 2020. No. 2 (88). P. 63-73. https://doi.org/10.25257/TTS.2020.2.88.63-73</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Fan Z., Jiang S., Zhang M. Dynamic probability evaluation of safety levels of earth-rockfill dams using Bayesian approach // Water Science and Engineering. 2009. Vol. 2, Iss. 2. Pр. 61-70. https://doi.org/10.3882/j.issn.1674-2370.2009.02.007</mixed-citation><mixed-citation xml:lang="en">Fan Z., Jiang S., Zhang M. Dynamic probability evaluation of safety levels of earth-rockfill dams using Bayesian approach // Water Science and Engineering. 2009. Vol. 2, Issue 2. P. 61-70. https://doi.org/10.3882/j.issn.1674-2370.2009.02.007</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Абдразаков Ф.К., Панкова Т.А., Щербаков В.А. Факторы, влияющие на эксплуатационное состояние гидротехнических сооружений // Аграрный научный журнал. 2016. № 10. С. 56-61. EDN: WXBEVX</mixed-citation><mixed-citation xml:lang="en">Abdrazakov F.K., Pankova T.A., Shcherbakov V.A. Factors influencing the operational condition of hydraulic structures // Agrarian scientific journal. 2016. No. 10. P. 56-61. EDN: WXBEVX</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Kozlov D.V., Snezhko V.L., Simonovich O.S. Safety forecast for of low-hazard earth dams beyond their standard service life // Power Technology and Engineering. 2023. Т. 56, № 6. С. 795-800.</mixed-citation><mixed-citation xml:lang="en">Kozlov D.V., Snezhko V.L., Simonovich O.S. Safety forecast for of low-hazard earth dams beyond their standard service life // Power Technology and Engineering. 2023. Т. 56. № 6. С. 795-800.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Akbar A.Q., Mitani Y., Nakanishi R., Honda H., Taniguchi H., Djamaluddin I. Integrated Statistical Modeling for Regional Landslide Hazard Mapping in 0-Order Basins // Water. 2025. Vol. 17 (17). 2577. https://doi.org/10.3390/w17172577</mixed-citation><mixed-citation xml:lang="en">Akbar A.Q., Mitani Y., Nakanishi R., Honda H., Taniguchi H., Djamaluddin I. Integrated Statistical Modeling for Regional Landslide Hazard Mapping in 0-Order Basins // Water. 2025. Vol. 17(17). 2577. https://doi.org/10.3390/w17172577</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Kaboré M.P.J., Lawane A., Yonaba R., Biaou A.C., Nadjibou A., Pantet A. Why Do Small Earth Dams Deteriorate: Insights from Physical Investigations in the West African Sahel // Resources. 2024. Vol. 13. 71. https://doi.org/10.3390/resources13060071</mixed-citation><mixed-citation xml:lang="en">Kaboré M.P.J., Lawane A., Yonaba R., Biaou A.C., Nadjibou A., Pantet A. Why Do Small Earth Dams Deteriorate: Insights from Physical Investigations in the West African Sahel // Resources. 2024. Vol. 13. 71. https://doi.org/10.3390/resources13060071</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Акпасов А.П., Морозов М.И., Греков Д.А., Кадомцева М.Е. и др. Комплексная оценка технического состояния гидроузла на реке Малый Чембар в Пензенской области // Природообустройство. 2025. № 3. С. 53-62. https://doi.org/10.26897/1997-6011-2025-3-53-62. EDN: DQYDRX</mixed-citation><mixed-citation xml:lang="en">Akpasov A.P., Morozov M.I., Grekov D.A., Kadomtseva M.E., Tuktarov R.B. Comprehensive assessment of the technical condition of the hydraulic structure on the Maly Chembar River in the Penza Region // Prirodoobustrojstvo. 2025. No. 3. P. 53-62. https://doi.org/10.26897/1997-6011-2025-3-53-62 EDN: DQYDRX</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Akhilbekov M., Snezhko V. Predicting the safety level of small earth dams using binary choice models // E3S Web of Conferences. 2025. Vol. 670. 02002 https://doi.org/10.1051/e3sconf/202567002002</mixed-citation><mixed-citation xml:lang="en">Akhilbekov M., Snezhko V. Predicting the safety level of small earth dams using binary choice models // E3S Web of Conferences. 2025. Vol. 670. 02002 https://doi.org/10.1051/e3sconf/202567002002</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Masrom S., Abdul Samad N.H., Septiyanti R., Roslan N., Rahman A. Machine learning prediction for academic misconduct prediction: an analysis of binary classi􀃀cation metrics // Bulletin of electrical engineering and informatics. 2024. Vol. 13 (1). Pр. 388-395. https://doi.org/10.11591/eei.v13i1.5629</mixed-citation><mixed-citation xml:lang="en">Masrom S., Abdul Samad N.H., Septiyanti R., Roslan N., Rahman A. Machine training prediction for academic misconduct prediction: an analysis of binary classification metrics // Bulletin of electrical engineering and informatics. 2024. Vol. 13 (1). P. 388-395. https://doi.org/10.11591/eei.v13i1.5629</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Vabalas A., Gowen E., Poliakoff E., Casson AJ. Machine learning algorithm validation with a limited sample size // PLOS ONE. 2019. Vol. 14 (11). e0224365. https://doi.org/10.1371/journal.pone.0224365</mixed-citation><mixed-citation xml:lang="en">Vabalas A., Gowen E., Poliakoff E., Casson AJ. Machine training algorithm validation with a limited sample size // PLOS ONE. 2019. Vol. 14(11). e0224365. https://doi.org/10.1371/journal.pone.0224365</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
