IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i12p1312-d690106.html
   My bibliography  Save this article

Influence of Anthropogenic Load in River Basins on River Water Status: A Case Study in Lithuania

Author

Listed:
  • Laima Česonienė

    (Department of Environment and Ecology, Faculty of Forest Science and Ecology, Vytautas Magnus University, Agriculture Academy, Studentų Str. 11, LT–53361 Akademija, Lithuania)

  • Daiva Šileikienė

    (Department of Environment and Ecology, Faculty of Forest Science and Ecology, Vytautas Magnus University, Agriculture Academy, Studentų Str. 11, LT–53361 Akademija, Lithuania)

  • Midona Dapkienė

    (Department of Water Engineering, Faculty of Engineering, Vytautas Magnus University, Agriculture Academy, Universiteto Str., 10, LT–53361 Akademija, Lithuania)

Abstract

Twenty-four rivers in different parts of Lithuania were selected for the study. The aim of the research was to evaluate the impact of anthropogenic load on the ecological status of rivers. Anthropogenic loads were assessed according to the pollution sources in individual river catchment basins. The total nitrogen (TN) values did not correspond to the “good” and “very good” ecological status classes in 51% of the tested water bodies; 19% had a “bad” to “moderate” BOD 7 , 50% had “bad” to “moderate” NH 4 -N, 37% had “bad” to “moderate” NO 3 -N, and 4% had “bad” to “moderate” PO 4 -P. The total phosphorus (TP) values did not correspond to the “good” and “very good” ecological status classes in 4% of the tested water bodies. The largest amounts of pollution in river basins were generated from the following sources: transit pollution, with 87,599 t/year of total nitrogen and 5020 t/year of total phosphorus; agricultural pollution, with 56,031 t/year of total nitrogen and 2474 t/year of total phosphorus. The highest total nitrogen load in river basins per year, on average, was from transit pollution, accounting for 53.89%, and agricultural pollution, accounting for 34.47%. The highest total phosphorus load was also from transit pollution, totaling 58.78%, and agricultural pollution, totaling 28.97%. Multiple regression analysis showed the agricultural activity had the biggest negative influence on the ecological status of rivers according to all studied indicators.

Suggested Citation

  • Laima Česonienė & Daiva Šileikienė & Midona Dapkienė, 2021. "Influence of Anthropogenic Load in River Basins on River Water Status: A Case Study in Lithuania," Land, MDPI, vol. 10(12), pages 1-16, November.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:12:p:1312-:d:690106
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/12/1312/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/10/12/1312/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hans Thodsen & Csilla Farkas & Jaroslaw Chormanski & Dennis Trolle & Gitte Blicher-Mathiesen & Ruth Grant & Alexander Engebretsen & Ignacy Kardel & Hans Estrup Andersen, 2017. "Modelling Nutrient Load Changes from Fertilizer Application Scenarios in Six Catchments around the Baltic Sea," Agriculture, MDPI, vol. 7(5), pages 1-17, May.
    2. Kaiyan Zhao & Huawu Wu & Wen Chen & Wei Sun & Haixia Zhang & Weili Duan & Wenjun Chen & Bin He, 2020. "Impacts of Landscapes on Water Quality in A Typical Headwater Catchment, Southeastern China," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    3. Xiao, Lu & Liu, Jianyue & Ge, Jinwen, 2021. "Dynamic game in agriculture and industry cross-sectoral water pollution governance in developing countries," Agricultural Water Management, Elsevier, vol. 243(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Laima Česonienė & Daiva Šileikienė & Vitas Marozas & Laura Čiteikė, 2021. "Influence of Anthropogenic Loads on Surface Water Status: A Case Study in Lithuania," Sustainability, MDPI, vol. 13(8), pages 1-15, April.
    2. Plunge, Svajunas & Gudas, Mindaugas & Povilaitis, Arvydas, 2022. "Effectiveness of best management practices for non-point source agricultural water pollution control with changing climate – Lithuania’s case," Agricultural Water Management, Elsevier, vol. 267(C).
    3. Antoci, Angelo & Iannucci, Gianluca & Rocchi, Benedetto & Ticci, Elisa, 2023. "The land allocation game: Externalities and evolutionary competition," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 124-133.
    4. Cristian Vasco & Diego Salazar & Darío Cepeda & Gustavo Sevillano & Juan Pazmiño & Shirley Huerta, 2022. "The Socioeconomic Drivers of Ethical Food Consumption in Ecuador: A Quantitative Analysis," Sustainability, MDPI, vol. 14(20), pages 1-14, October.
    5. Ye Pan & Yuan Yuan & Ting Sun & Yuxin Wang & Yujing Xie & Zhengqiu Fan, 2020. "Are the Water Quality Improvement Measures of China’s South-to-North Water Diversion Project Effective? A Case Study of Xuzhou Section in the East Route," IJERPH, MDPI, vol. 17(17), pages 1-21, September.
    6. Nooshin Karimi Alavijeh & Nasrin Salehnia & Narges Salehnia & Matheus Koengkan, 2023. "The effects of agricultural development on CO2 emissions: empirical evidence from the most populous developing countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 12011-12031, October.
    7. Wenzhuo Sun & Zheng Liu, 2023. "Third-Party Governance of Groundwater Ammonia Nitrogen Pollution: An Evolutionary Game Analysis Considering Reward and Punishment Distribution Mechanism and Pollution Rights Trading Policy," Sustainability, MDPI, vol. 15(11), pages 1-16, June.
    8. Zhenghong Zhang & Fu Zhang & Zhengzhong Zhang & Xuhu Wang, 2023. "Study on Water Quality Change Trend and Its Influencing Factors from 2001 to 2021 in Zuli River Basin in the Northwestern Part of the Loess Plateau, China," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    9. Dzierzbicka-Glowacka, Lidia & Dybowski, Dawid & Janecki, Maciej & Wojciechowska, Ewa & Szymczycha, Beata & Potrykus, Dawid & Nowicki, Artur & Szymkiewicz, Adam & Zima, Piotr & Jaworska-Szulc, Beata & , 2022. "Modelling the impact of the agricultural holdings and land-use structure on the quality of inland and coastal waters with an innovative and interdisciplinary toolkit," Agricultural Water Management, Elsevier, vol. 263(C).
    10. Yu Song & Xiaodong Song & Guofan Shao, 2020. "Response of Water Quality to Landscape Patterns in an Urbanized Watershed in Hangzhou, China," Sustainability, MDPI, vol. 12(14), pages 1-17, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:10:y:2021:i:12:p:1312-:d:690106. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.