IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2015i1p77-d61211.html
   My bibliography  Save this article

Identifying Watershed Regions Sensitive to Soil Erosion and Contributing to Lake Eutrophication—A Case Study in the Taihu Lake Basin (China)

Author

Listed:
  • Chen Lin

    (State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
    State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China)

  • Ronghua Ma

    (State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China)

  • Bin He

    (State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China)

Abstract

Taihu Lake in China is suffering from severe eutrophication partly due to non-point pollution from the watershed. There is an increasing need to identify the regions within the watershed that most contribute to lake water degradation. The selection of appropriate temporal scales and lake indicators is important to identify sensitive watershed regions. This study selected three eutrophic lake areas, including Meiliang Bay (ML), Zhushan Bay (ZS), and the Western Coastal region (WC), as well as multiple buffer zones next to the lake boundary as the study sites. Soil erosion intensity was designated as a watershed indicator, and the lake algae area was designated as a lake quality indicator. The sensitive watershed region was identified based on the relationship between these two indicators among different lake divisions for a temporal sequence from 2000 to 2012. The results show that the relationship between soil erosion modulus and lake quality varied among different lake areas. Soil erosion from the two bay areas was more closely correlated with water quality than soil erosion from the WC region. This was most apparent at distances of 5 km to 10 km from the lake, where the r 2 was as high as 0.764. Results indicate that soil erosion could be used as an indicator for identifying key watershed protection areas. Different lake areas need to be considered separately due to differences in geographical features, land use, and the corresponding effects on lake water quality.

Suggested Citation

  • Chen Lin & Ronghua Ma & Bin He, 2015. "Identifying Watershed Regions Sensitive to Soil Erosion and Contributing to Lake Eutrophication—A Case Study in the Taihu Lake Basin (China)," IJERPH, MDPI, vol. 13(1), pages 1-14, December.
  • Handle: RePEc:gam:jijerp:v:13:y:2015:i:1:p:77-:d:61211
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/1/77/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/13/1/77/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Erol, Ayten & Randhir, Timothy O., 2013. "Watershed ecosystem modeling of land-use impacts on water quality," Ecological Modelling, Elsevier, vol. 270(C), pages 54-63.
    2. Bahman Amiri & Kaneyuki Nakane, 2009. "Modeling the Linkage Between River Water Quality and Landscape Metrics in the Chugoku District of Japan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(5), pages 931-956, March.
    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. Chen Lin & Ronghua Ma & Zhihu Su & Qing Zhu, 2015. "Detection of Critical LUCC Indices and Sensitive Watershed Regions Related to Lake Algal Blooms: A Case Study of Taihu Lake," IJERPH, MDPI, vol. 12(2), pages 1-20, January.
    2. Hackbart, Vivian C.S. & de Lima, Guilherme T.N.P. & dos Santos, Rozely F., 2017. "Theory and practice of water ecosystem services valuation: Where are we going?," Ecosystem Services, Elsevier, vol. 23(C), pages 218-227.
    3. Qiuju Wu & Renyi Yang & Zisheng Yang, 2022. "A Study on the Rationality of Land Use Change in the Dianchi Basin during the Last 40 Years under the Background of Lake Revolution," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    4. Azam Haidary & Bahman Amiri & Jan Adamowski & Nicola Fohrer & Kaneyuki Nakane, 2013. "Assessing the Impacts of Four Land Use Types on the Water Quality of Wetlands in Japan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2217-2229, May.
    5. Mirzaei, Mohsen & Jafari, Ali & Gholamalifard, Mehdi & Azadi, Hossein & Shooshtari, Sharif Joorabian & Moghaddam, Saghi Movahhed & Gebrehiwot, Kindeya & Witlox, Frank, 2020. "Mitigating environmental risks: Modeling the interaction of water quality parameters and land use cover," Land Use Policy, Elsevier, vol. 95(C).
    6. Zhigao Wu & Kangning Xiong & Dayun Zhu & Jie Xiao, 2022. "Revelation of Coupled Ecosystem Quality and Landscape Patterns for Agroforestry Ecosystem Services Sustainability Improvement in the Karst Desertification Control," Agriculture, MDPI, vol. 13(1), pages 1-27, December.
    7. Iman Fatehi & Bahman Amiri & Afshin Alizadeh & Jan Adamowski, 2015. "Modeling the Relationship between Catchment Attributes and In-stream Water Quality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5055-5072, November.
    8. Frederick Asare & Lobina G. Palamuleni & Tabukeli Ruhiiga, 2018. "Land Use Change Assessment and Water Quality of Ephemeral Ponds for Irrigation in the North West Province, South Africa," IJERPH, MDPI, vol. 15(6), pages 1-16, June.
    9. You, L. & Li, Y.P. & Huang, G.H. & Zhang, J.L., 2014. "Modeling regional ecosystem development under uncertainty – A case study for New Binhai District of Tianjin," Ecological Modelling, Elsevier, vol. 288(C), pages 127-142.
    10. Tolera Megersa & Taffa Tullu, 2018. "Effects of Land Use/Cover Type On Surface Water Quality: In The Case Of Chancho and Sorga Watershed, East Wollega Zone, Oromia, Ethiopia," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 12(4), pages 94-103, June.
    11. Xin Zhang & Yuqi Liu & Lin Zhou, 2018. "Correlation Analysis between Landscape Metrics and Water Quality under Multiple Scales," IJERPH, MDPI, vol. 15(8), pages 1-14, July.
    12. QingHai Guo & KeMing Ma & Liu Yang & Kate He, 2010. "Testing a Dynamic Complex Hypothesis in the Analysis of Land Use Impact on Lake Water Quality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(7), pages 1313-1332, May.
    13. Bahman Jabbarian Amiri & Nicola Fohrer & Johannes Cullmann & George Hörmann & Felix Müller & Jan Adamowski, 2016. "Regionalization of Tank Model Using Landscape Metrics of Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5065-5085, November.
    14. Zhonghe Zhao & Kun Liu & Bowei Yu & Gaohuan Liu & Youxiao Wang & Chunsheng Wu, 2023. "Modeling of Agricultural Nonpoint-Source Pollution Quantitative Assessment: A Case Study in the Mun River Basin, Thailand," Sustainability, MDPI, vol. 15(13), pages 1-16, June.
    15. Mehdi Aalipour & Naicheng Wu & Nicola Fohrer & Yusef Kianpoor Kalkhajeh & Bahman Jabbarian Amiri, 2023. "Examining the Influence of Landscape Patch Shapes on River Water Quality," Land, MDPI, vol. 12(5), pages 1-15, May.
    16. Kaishan Song & Lin Li & Lenore Tedesco & Shuai Li & Kun Shi & Bob Hall, 2014. "Remote Estimation of Nutrients for a Drinking Water Source Through Adaptive Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(9), pages 2563-2581, July.
    17. Yong Li & Yi Wang & Ji Liu & Meihui Wang & Jianlin Shen & Xinliang Liu, 2023. "Topography, Soil Elemental Stoichiometry and Landscape Structure Determine the Nitrogen and Phosphorus Loadings of Agricultural Catchments in the Subtropics," Land, MDPI, vol. 12(3), pages 1-21, February.
    18. Rabia Koklu & Bulent Sengorur & Bayram Topal, 2010. "Water Quality Assessment Using Multivariate Statistical Methods—A Case Study: Melen River System (Turkey)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(5), pages 959-978, March.
    19. Li-Chi Chiang & Yi-Ting Chuang & Chin-Chuan Han, 2019. "Integrating Landscape Metrics and Hydrologic Modeling to Assess the Impact of Natural Disturbances on Ecohydrological Processes in the Chenyulan Watershed, Taiwan," IJERPH, MDPI, vol. 16(2), pages 1-21, January.
    20. Bahman Jabbarian Amiri & Gao Junfeng & Nicola Fohrer & Felix Mueller & Jan Adamowski, 2018. "Regionalizing Flood Magnitudes using Landscape Structural Patterns of Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(7), pages 2385-2403, May.

    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:jijerp:v:13:y:2015:i:1:p:77-:d:61211. 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.