{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T20:01:27Z","timestamp":1782417687308,"version":"3.54.5"},"reference-count":15,"publisher":"STEF92 Technology","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,1]]},"abstract":"<jats:p>There is a worldwide ecological problem of anthropogenic eutrophication. The problem is especially serious one for the ecosystems of lakes, water-storage basins, and closed seas, such as the Baltic Sea. The eastern part of the sea is the Neva Bay. The water area is totally located within the administrative border of St. Petersburg and is influenced by the megacity. There is monitoring of the total nitrogen and phosphorus inflow into the Neva Bay with water of the Neva River and its spill streams. Nevertheless, there are watercourses entering the bay without points of monitoring. We presented the methodology for evaluation of the total nitrogen and substances outflow from the catchment areas without the monitoring points into the Neva Bay and the eastern part of the Finnish Gulf, and the evaluation results at the previous conferences SGEM2023 and SGEM Vienna GREEN 2023 \ufffdGREEN Science for GREEN Life\ufffd. However, there is the problem: \ufffdWhat is the unaccounted income influence on the bay ecosystem life?\ufffd If the influence is negligible, the authorities have not to organize monitoring points on the unaccounted watercourses. Otherwise, the authorities have to organize the monitoring points. The paper presents methodology for the problem solution by means of the ecosystem functioning computer simulation and some results of the numerical experiments. The influence significance is evaluated by modification of the Nash\ufffdSutcliffe criterion.<\/jats:p>","DOI":"10.5593\/sgem2024\/3.1\/s15.50","type":"proceedings-article","created":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T12:26:37Z","timestamp":1733315197000},"page":"427-434","source":"Crossref","is-referenced-by-count":1,"title":["ROLE OF UNACCOUNTED SOURCES OF TOTAL NITROGEN AND PHOSPHORUS IN THE NEVA BAY ANTHROPOGENIC EUTROPHICATION"],"prefix":"10.5593","volume":"24","author":[{"given":"Victor","family":"Tretyakov","sequence":"first","affiliation":[{"name":"Saint Petersburg State University\nRussian State Hydrometeorological University","place":["Russia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stepan","family":"Klubov","sequence":"additional","affiliation":[{"name":"Russian State Hydrometeorological Univers","place":["Russia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vasiliy","family":"Dmitriev","sequence":"additional","affiliation":[{"name":"Saint Petersburg State University","place":["Russia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"Nikulina","sequence":"additional","affiliation":[{"name":"Saint Petersburg State University","place":["Russia"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"3602","reference":[{"key":"ref=1","doi-asserted-by":"crossref","unstructured":"[1]  Pein J. et al., Nitrogen cycling in the Elbe estuary from a joint 3D-modelling and observational perspective, Biogeosciences Discussions, Germany, pp 1-34, 2019, DOI: 10.5194\/bg-2019-265","DOI":"10.5194\/bg-2019-265-supplement"},{"key":"ref=2","doi-asserted-by":"crossref","unstructured":"[2]  Zhang B. et al., Variation characteristics of ocean sediment Fe levels and their relationship with grain sizes in culture areas over a long period, Helgoland Marine Research, Germany, vol. 75\/issue 9, pp 1-34, 2021, DOI: 10.1186\/s10152-021-00554-z","DOI":"10.1186\/s10152-021-00554-z"},{"key":"ref=3","unstructured":"[3]  Adams J., Determination and implementation of environmental water requirements for estuaries, Ramsar Technical Report No. 9 \/ CBD Technical Series No. 69, Switzerland\/Canada, 2012, https:\/\/www.researchgate.net\/publication\/270573861_Determination_and_implementation_of_environmental_water_requirements_for_estuaries"},{"key":"ref=4","doi-asserted-by":"crossref","unstructured":"[4]  Olisah C., Adams J.B., Rubidge G., The state of persistent organic pollutants in South African estuaries: A review of environmental exposure and sources, Ecotoxicology and Environmental Safety, Great Britain, vol. 219, art. 112316, 2021, DOI: 10.1016\/j.ecoenv.2021.112316","DOI":"10.1016\/j.ecoenv.2021.112316"},{"key":"ref=5","doi-asserted-by":"crossref","unstructured":"[5]  Deng L. et al., Vertical distribution of suspended particulate matter and its response to river discharge and seawater intrusion: a case study in the Pearl River Estuary during the 2020 dry season, Frontiers in Marine Science, France, vol. 10:1239649, pp 01-12, 2023, DOI: 10.3389\/fmars.2023.1239649","DOI":"10.3389\/fmars.2023.1239649"},{"key":"ref=6","doi-asserted-by":"crossref","unstructured":"[6]  Chowdhury M. et al., Monitoring turbidity in a highly variable estuary using Sentinel 2-A\/B for ecosystem management applications, Frontiers in Marine Science, France, vol. 10:1186441, pp 01-15, 2023, DOI: 10.3389\/fmars.2023.1186441","DOI":"10.3389\/fmars.2023.1186441"},{"key":"ref=7","doi-asserted-by":"crossref","unstructured":"[7]  Hosseini S.T. et al., Longitudinal and lateral circulation and tidal impacts in salt-plug estuaries, Frontiers in Marine Science, Portugal, vol. 10:1152625, pp 01-20, 2023, DOI: 10.3389\/fmars.2023.1152625","DOI":"10.3389\/fmars.2023.1152625"},{"key":"ref=8","unstructured":"[8]  Bach Q.D., Dynamical estuarine ecosystem modeling of phytoplankton size structure using STELLA, Vietnam Journal of Hydrometeorology, Vietnam, vol. 02, pp 35-44, 2019, DOI: 10.36335\/VNJHM.2019(2).35-44"},{"key":"ref=9","doi-asserted-by":"crossref","unstructured":"[9]  Chiu G.S., Wu M.A., Lu L., Model-Based Assessment of Estuary Ecosystem Health Using the Latent Health Factor Index, with Application to the Richibucto Estuary, PLoS ONE, International, vol. 8(6), art. e65697, pp 1-12, 2013,\nDOI: 10.1371\/journal.pone.0065697","DOI":"10.1371\/journal.pone.0065697"},{"key":"ref=10","doi-asserted-by":"crossref","unstructured":"[10]  Kremer J.N. et al., Simulating property exchange in estuarine ecosystem models at ecologically appropriate scales, Ecological Modelling, France, issue 221, pp 1080-1088, 2010, DOI: 10.1016\/j.ecolmodel.2009.12.014","DOI":"10.1016\/j.ecolmodel.2009.12.014"},{"key":"ref=11","doi-asserted-by":"crossref","unstructured":"[11]  Otogo G.A., Enin U.I., Ndome C.B., Trophic modelling of the Cross River Estuary, Nigeria, Journal of Marine Science Research and Oceanography, International, vol. 6, issue 1, pp 01-18, 2023, DOI: 10.33140\/JMSRO, ISSN: 2642-9020","DOI":"10.33140\/JMSRO.06.01.01"},{"key":"ref=12","doi-asserted-by":"crossref","unstructured":"[12]  Vaz N. et al., The Tagus Estuary as a numerical modeling test bed: A review, Geosciences, France, vol. 10(1), issue 4, pp 01-21, 2020,\nDOI: 10.3390\/geosciences10010004","DOI":"10.3390\/geosciences10010004"},{"key":"ref=13","doi-asserted-by":"crossref","unstructured":"[13]  Lopes C.L. et al., Advances in monitoring and modelling spatial and temporal dynamics of estuarine ecosystems, Frontiers in Marine Science, Australia, vol. 11:1367378, pp 01-03, 2024, DOI: 10.3389\/fmars.2024.1367378","DOI":"10.3389\/fmars.2024.1367378"},{"key":"ref=14","unstructured":"[14]  Oldakowski B. et al., Ecohydrodynamic model of the Baltic Sea. Part 1. Description of the ProDeMo model, Oceanologia, Poland, vol. 47 (4), pp 477\ufffd516, 2005, http:\/\/www.iopan.gda.pl\/oceanologia\/"},{"key":"ref=15","doi-asserted-by":"crossref","unstructured":"[15]  Tretyakov V., Dmitriev V., Sergeev Y., Kulesh V., Monitoring of an aquatic ecosystem ecological status and assessment of its resistance to anthropogenic impacts by results of simulation, 19th International multidisciplinary scientific geoconference SGEM2019\/Conference Proceedings. Volume 19. Ecology, economics, education and legislation. Issue 5.1. Ecology and environmental protection, Albena, Bulgaria, pp 485-492, 2019. DOI: 10.5593\/sgem2019\/5.1","DOI":"10.5593\/sgem2019\/5.1\/S20.061"}],"event":{"name":"24th SGEM International Multidisciplinary Scientific GeoConference 2024","theme":"Earth and Planetary Sciences","location":"Albena, Bulgaria","acronym":"SGEM24","number":"24","sponsor":["SGEM WORLD SCIENCE (SWS) Scholarly Society, Austria"],"start":{"date-parts":[[2024,7,1]]},"end":{"date-parts":[[2024,7,7]]}},"container-title":["SGEM International Multidisciplinary Scientific GeoConference\ufffd EXPO Proceedings","24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Water Resources. Forest, Marine and Ocean Ecosystems, Vol 24, Issue 3.1"],"original-title":[],"deposited":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T19:28:36Z","timestamp":1782415716000},"score":1,"resource":{"primary":{"URL":"https:\/\/epslibrary.at\/items\/ac21eb3a-9e43-43c6-842a-6f4c848b5e49\/role-of-unaccounted-sources-of-total-nitrogen-and-phosphorus-in-the-neva-bay-anthropogenic"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,1]]},"references-count":15,"URL":"https:\/\/doi.org\/10.5593\/sgem2024\/3.1\/s15.50","relation":{},"ISSN":["1314-2704"],"issn-type":[{"value":"1314-2704","type":"print"}],"subject":[],"published":{"date-parts":[[2024,11,1]]}}}