IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i4p1446-d324348.html
   My bibliography  Save this article

Evaluation and Analysis of Water Quality of Marine Aquaculture Area

Author

Listed:
  • Xianyu Zhang

    (Dalian Ocean University, College of Marine Sciences, Dalian 116023, China
    Key Laboratory of Environment Controlled Aquaculture, Ministry of Education, Dalian Ocean University, Dalian 116023, China)

  • Yingqi Zhang

    (Dalian Ocean University, College of Marine Sciences, Dalian 116023, China
    Key Laboratory of Environment Controlled Aquaculture, Ministry of Education, Dalian Ocean University, Dalian 116023, China)

  • Qian Zhang

    (Dalian Ocean University, College of Marine Sciences, Dalian 116023, China
    Key Laboratory of Environment Controlled Aquaculture, Ministry of Education, Dalian Ocean University, Dalian 116023, China)

  • Peiwu Liu

    (Dalian Ocean University, College of Marine Sciences, Dalian 116023, China)

  • Rui Guo

    (Dalian Ocean University, College of Marine Sciences, Dalian 116023, China
    Key Laboratory of Environment Controlled Aquaculture, Ministry of Education, Dalian Ocean University, Dalian 116023, China)

  • Shengyi Jin

    (Dalian Ocean University, College of Marine Sciences, Dalian 116023, China)

  • Jiawen Liu

    (Dalian Ocean University, College of Marine Sciences, Dalian 116023, China)

  • Lei Chen

    (Dalian Ocean University, College of Marine Sciences, Dalian 116023, China)

  • Zhen Ma

    (Dalian Ocean University, College of Marine Sciences, Dalian 116023, China
    Key Laboratory of Environment Controlled Aquaculture, Ministry of Education, Dalian Ocean University, Dalian 116023, China)

  • Ying Liu

    (Dalian Ocean University, College of Marine Sciences, Dalian 116023, China
    Key Laboratory of Environment Controlled Aquaculture, Ministry of Education, Dalian Ocean University, Dalian 116023, China)

Abstract

In the rapid development of marine aquaculture, the water quality of aquatic environments is regarded as a main limiting factor. Therefore, it is necessary to assess the water quality and environmental conditions in marine aquaculture areas and find out the main influencing factors regarding damage to the water quality environment. In the present research, pond aquaculture and cage aquaculture areas were sampled in May, August and November in 2018. Nine water quality indicators were detected, including pH, temperature, salinity, dissolved oxygen, molybdate-reactive phosphorus, chemical oxygen demand, chlorophyll a, inorganic nitrogen and antibiotic resistance genes (ARGs). Principal component analysis (PCA) was used to analyze the water quality conditions, spatial–temporal changes, and the driving factors in pond and cage aquaculture areas. The results showed that three main components were extracted from the pond aquaculture area, which explained 66.82% of the results, the most relevant factors are salinity, dissolved oxygen and ARGs. For the cage aquaculture area, three main components were extracted which can account for 72.99% of the results, the most relevant factors are chlorophyll a, salinity and dissolved oxygen. The comprehensive scores of the principal components indicated that the heaviest polluted months in pond and aquaculture areas were August and November, respectively. The water quality of the pond aquaculture area is mainly limited by the volume of the pond, while aquaculture activities and seasonality are the main factors for cage aquaculture. ARGs in cage culture areas showed more variety and frequency compared with pond culture areas, which indicated that terrestrial input might be one of the sources for ARGs occurrence. The results would be helpful for the relevant authorities to select water quality monitoring parameters in marine aquaculture areas.

Suggested Citation

  • Xianyu Zhang & Yingqi Zhang & Qian Zhang & Peiwu Liu & Rui Guo & Shengyi Jin & Jiawen Liu & Lei Chen & Zhen Ma & Ying Liu, 2020. "Evaluation and Analysis of Water Quality of Marine Aquaculture Area," IJERPH, MDPI, vol. 17(4), pages 1-15, February.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:4:p:1446-:d:324348
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/4/1446/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/4/1446/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Luigi Aldieri & Jonas Grafström & Kristoffer Sundström & Concetto Paolo Vinci, 2019. "Wind Power and Job Creation," Sustainability, MDPI, vol. 12(1), pages 1-23, December.
    2. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
    3. Finch, Brian Karl & Beck, Audrey N., 2011. "Socio-economic status and z-score standardized height-for-age of U.S.-born children (ages 2-6)," Economics & Human Biology, Elsevier, vol. 9(3), pages 272-276, July.
    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. Kun Lang & Lijun Gu & Zhiying Chen & Chunhui Niu & Lin Li & Jinyuan Ma, 2023. "Ecological Quality Status Evaluation of Port Sea Areas Based on EW-GRA-TOPSIS Model," Sustainability, MDPI, vol. 15(11), pages 1-19, May.

    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. Bonhomme, Stphane & Robin, Jean-Marc, 2009. "Consistent noisy independent component analysis," Journal of Econometrics, Elsevier, vol. 149(1), pages 12-25, April.
    2. Fernando Castelló-Sirvent & Pablo Pinazo-Dallenbach, 2021. "Corruption Shock in Mexico: fsQCA Analysis of Entrepreneurial Intention in University Students," Mathematics, MDPI, vol. 9(14), pages 1-31, July.
    3. Rodríguez-Fuentes, Carlos Javier & Hernández-López, Montserrat, 1997. "Análisis de diferencias estructurales interregionales determinantes en el impacto de la política monetaria," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 7, pages 141-157, Junio.
    4. Ivaldi, Enrico, 2013. "Proposal of a country risk index based on a factorial analysis - Una proposta di indice di rischio paese basato sull’analisi fattoriale: una applicazione ai paesi del sud del Mediterraneo e ai paesi d," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 66(2), pages 231-249.
    5. De Nicola, Arianna & Gitto, Simone & Mancuso, Paolo, 2013. "Airport quality and productivity changes: A Malmquist index decomposition assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 67-75.
    6. Ponzoa, José M. & Gómez, Andrés & Mas, José M., 2023. "EU27 and USA institutions in the digital ecosystem: Proposal for a digital presence measurement index," Journal of Business Research, Elsevier, vol. 154(C).
    7. Thomas Despois & Catherine Doz, 2023. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 533-555, June.
    8. Xia Vivian Zhou & Kimberly L. Jensen & James A. Larson & Burton C. English, 2021. "Farmer Interest in and Willingness to Grow Pennycress as an Energy Feedstock," Energies, MDPI, vol. 14(8), pages 1-16, April.
    9. Matkovskyy, Roman & Bouraoui, Taoufik & Hammami, Helmi, 2016. "Analysing the financial strength of Tunisia: An approach to estimate an index of financial safety," Research in International Business and Finance, Elsevier, vol. 38(C), pages 485-493.
    10. Chuanbo Shen & Solomon Asante-Okyere & Yao Yevenyo Ziggah & Liang Wang & Xiangfeng Zhu, 2019. "Group Method of Data Handling (GMDH) Lithology Identification Based on Wavelet Analysis and Dimensionality Reduction as Well Log Data Pre-Processing Techniques," Energies, MDPI, vol. 12(8), pages 1-16, April.
    11. Metaxas, Theodore & Kallioras, Dimitris, 2013. "Small and medium-sized firms' competitiveness and territorial characteristics/assets: The cases of Bari, Varna and Thessaloniki," MPRA Paper 52446, University Library of Munich, Germany.
    12. Donald R. Epley, 2001. "US Real Estate Agent Income and Commercial/Investment Activities," Journal of Real Estate Research, American Real Estate Society, vol. 21(3), pages 221-244.
    13. Christiane Riedinger & Jackie Campbell & William M P Klein & Rebecca A Ferrer & Juliet A Usher-Smith, 2022. "Analysis of the components of cancer risk perception and links with intention and behaviour: A UK-based study," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-16, January.
    14. Suranjan Sinha & Surajit Chakraborty & Shatrajit Goswami, 2017. "Ecological footprint: an indicator of environmental sustainability of a surface coal mine," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(3), pages 807-824, June.
    15. Yassine Charabi & Sabah Abdul-Wahab & Abdul Majeed Al-Mahruqi & Selma Osman & Isra Osman, 2022. "The potential estimation and cost analysis of wind energy production in Oman," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 5917-5937, April.
    16. Hauck, Jana & Suess-Reyes, Julia & Beck, Susanne & Prügl, Reinhard & Frank, Hermann, 2016. "Measuring socioemotional wealth in family-owned and -managed firms: A validation and short form of the FIBER Scale," Journal of Family Business Strategy, Elsevier, vol. 7(3), pages 133-148.
    17. Gunnar Steineck & Viktor Skokic & Fei Sjöberg & Cecilia Bull & Eleftheria Alevronta & Gail Dunberger & Karin Bergmark & Ulrica Wilderäng & Jung Hun Oh & Joseph O Deasy & Rebecka Jörnsten, 2017. "Identifying radiation-induced survivorship syndromes affecting bowel health in a cohort of gynecological cancer survivors," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-15, February.
    18. Aristidis Nikoloulopoulos & Harry Joe, 2015. "Factor Copula Models for Item Response Data," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 126-150, March.
    19. Guey-Shin Shyu & Bai-You Cheng & Chi-Ting Chiang & Pei-Hsuan Yao & Tsun-Kuo Chang, 2011. "Applying Factor Analysis Combined with Kriging and Information Entropy Theory for Mapping and Evaluating the Stability of Groundwater Quality Variation in Taiwan," IJERPH, MDPI, vol. 8(4), pages 1-26, April.
    20. Urbano Lorenzo-Seva, 2000. "The weighted oblimin rotation," Psychometrika, Springer;The Psychometric Society, vol. 65(3), pages 301-318, September.

    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:17:y:2020:i:4:p:1446-:d:324348. 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.