IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v24y2010i5p959-978.html
   My bibliography  Save this article

Water Quality Assessment Using Multivariate Statistical Methods—A Case Study: Melen River System (Turkey)

Author

Listed:
  • Rabia Koklu
  • Bulent Sengorur
  • Bayram Topal

Abstract

This study is focused on water quality of Melen River (Turkey) and evaluation of 26 physical and chemical pollution data obtained five monitoring stations during the period 1995–2006. It presents the application of multivariate statistical methods to the data set, namely, principal component and factor analysis (PCA/FA), multiple regression analysis (MRA) and discriminant analysis (DA). The PCA/FA was employed to evaluate the high–low flow periods correlations of water quality parameters, while the principal factor analysis technique was used to extract the parameters that are most important in assessing high–low flow periods variations of river water quality. Latent factors were identified as responsible for data structure explaining 72–97% of the total variance of the each data sets. PCA/FA was supported with multiple regression analysis to determine the most important parameter in each factor. It examines the relation between a single dependent variable and a set of independent variables to best represent the relation in the each factor. Obtained important parameters provided us to determine the major pollution sources in Melen River Basin. So factors are conditionally named soil structure and erosion, domestic, municipal and industrial effluents, agricultural activities (fertilizer, irrigation water and livestock wastes), atmospheric deposition and seasonal effects factors. DA applied the data set to obtain the parameters responsible for temporal and spatial variations. Assessment of high–low flow period changes in surface water quality is an important aspect for evaluating temporal and spatial variations of river pollution. The aim of this study is illustration the usefulness of multivariate statistical analysis for evaluation of complex data sets, in Melen River water quality assessment identification of factors and pollution sources, for effective water quality management determination the spatial and temporal variations in water quality. Copyright The Author(s) 2010

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:24:y:2010:i:5:p:959-978
    DOI: 10.1007/s11269-009-9481-7
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-009-9481-7
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11269-009-9481-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jian Sha & Zeli Li & Dennis Swaney & Bongghi Hong & Wei Wang & Yuqiu Wang, 2014. "Application of a Bayesian Watershed Model Linking Multivariate Statistical Analysis to Support Watershed-Scale Nitrogen Management in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3681-3695, September.
    2. Luke Mosley & Benjamin Zammit & Emily Leyden & Theresa Heneker & Matthew Hipsey & Dominic Skinner & Kane Aldridge, 2012. "The Impact of Extreme Low Flows on the Water Quality of the Lower Murray River and Lakes (South Australia)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(13), pages 3923-3946, October.
    3. Lazhar Belkhiri & Tahoora Narany, 2015. "Using Multivariate Statistical Analysis, Geostatistical Techniques and Structural Equation Modeling to Identify Spatial Variability of Groundwater Quality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(6), pages 2073-2089, April.
    4. Ayman Awadallah & Mohsen Yousry, 2012. "Identifying Homogeneous Water Quality Regions in the Nile River Using Multivariate Statistical Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 2039-2055, May.
    5. Fabiana Liar Agudo & Bárbara Stolte Bezerra & José Alcides Gobbo Júnior, 2024. "An overview of Brazilian companies' readiness to implement industrial symbiosis," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 1066-1080, February.
    6. Honglei Chen & Junbo Yang & Xiaohua Fu & Qingxing Zheng & Xinyu Song & Zeding Fu & Jiacheng Wang & Yingqi Liang & Hailong Yin & Zhiming Liu & Jie Jiang & He Wang & Xinxin Yang, 2022. "Water Quality Prediction Based on LSTM and Attention Mechanism: A Case Study of the Burnett River, Australia," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    7. Jian Sha & Zeli Li & Dennis P. Swaney & Bongghi Hong & Wei Wang & Yuqiu Wang, 2014. "Application of a Bayesian Watershed Model Linking Multivariate Statistical Analysis to Support Watershed-Scale Nitrogen Management in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3681-3695, September.
    8. Lele Xiao & Qianqian Zhang & Chao Niu & Huiwei Wang, 2020. "Spatiotemporal Patterns in River Water Quality and Pollution Source Apportionment in the Arid Beichuan River Basin of Northwestern China Using Positive Matrix Factorization Receptor Modeling Technique," IJERPH, MDPI, vol. 17(14), pages 1-15, July.
    9. Lei Wan & Xiaohui Fan, 2018. "Water Quality of Inflows to the Everglades National Park over Three Decades (1985–2014) Analyzed by Multivariate Statistical Methods," IJERPH, MDPI, vol. 15(9), pages 1-12, August.
    10. Xiaoliang Meng & Chao Xu & Xinxia Liu & Junming Bai & Wenhan Zheng & Hao Chang & Zhuo Chen, 2018. "An Ontology-Underpinned Emergency Response System for Water Pollution Accidents," Sustainability, MDPI, vol. 10(2), pages 1-18, February.
    11. Yuankun Wang & Dong Sheng & Dong Wang & Huiqun Ma & Jichun Wu & Feng Xu, 2014. "Variable Fuzzy Set Theory to Assess Water Quality of the Meiliang Bay in Taihu Lake Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(3), pages 867-880, February.
    12. Jeremy Dominic & Ahmad Aris & Wan Sulaiman, 2015. "Factors Controlling the Suspended Sediment Yield During Rainfall Events of Dry and Wet Weather Conditions in A Tropical Urban Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(12), pages 4519-4538, September.
    13. Ana Gomes & José Pires & Sónia Figueiredo & Rui Boaventura, 2014. "Optimization of River Water Quality Surveys by Multivariate Analysis of Physicochemical, Bacteriological and Ecotoxicological Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(5), pages 1345-1361, March.
    14. Luis Alberto Alcolea-Rubio & Ana Vanessa Caparrós-Ríos & Virginia Robles-Arenas & Cristóbal García-García & Gregorio García & Rocío Millán & Araceli Pérez-Sanz & Roberto Rodríguez-Pacheco, 2022. "Environmental Implications of Saline Efflorescence Associated with Metallic Mining Waste in a Mediterranean Region," Land, MDPI, vol. 12(1), pages 1-24, December.

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Ayman Awadallah & Mohsen Yousry, 2012. "Identifying Homogeneous Water Quality Regions in the Nile River Using Multivariate Statistical Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 2039-2055, May.
    13. 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.
    14. 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.
    15. 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).
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.

    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:spr:waterr:v:24:y:2010:i:5:p:959-978. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.