IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v12y2015i10p13179-13194d57453.html
   My bibliography  Save this article

Spatio-Temporal Trends and Identification of Correlated Variables with Water Quality for Drinking-Water Reservoirs

Author

Listed:
  • Qing Gu

    (Institute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China)

  • Ke Wang

    (Institution of Remote Sensing and Information System Application, Zhejiang University, Hangzhou 310058, China)

  • Jiadan Li

    (Institute of Rural Development and Information, Ningbo Academy of Agricultural Sciences, Ningbo 315040, China)

  • Ligang Ma

    (College of Resource and Environmental Science, Xinjiang University, Urumqi 830046, China)

  • Jinsong Deng

    (Institution of Remote Sensing and Information System Application, Zhejiang University, Hangzhou 310058, China
    School of Civil Engineering and Environmental Sciences and School of Meteorology, University of Oklahoma, Norman, OK 73019, USA)

  • Kefeng Zheng

    (Institute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China)

  • Xiaobin Zhang

    (Institute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China)

  • Li Sheng

    (Institute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China)

Abstract

It is widely accepted that characterizing the spatio-temporal trends of water quality parameters and identifying correlated variables with water quality are indispensable for the management and protection of water resources. In this study, cluster analysis was used to classify 56 typical drinking water reservoirs in Zhejiang Province into three groups representing different water quality levels, using data of four water quality parameters for the period 2006–2010. Then, the spatio-temporal trends in water quality were analyzed, assisted by geographic information systems (GIS) technology and statistical analysis. The results indicated that the water quality showed a trend of degradation from southwest to northeast, and the overall water quality level was exacerbated during the study period. Correlation analysis was used to evaluate the relationships between water quality parameters and ten independent variables grouped into four categories (land use, socio-economic factors, geographical features, and reservoir attributes). According to the correlation coefficients, land use and socio-economic indicators were identified as the most significant factors related to reservoir water quality. The results offer insights into the spatio-temporal variations of water quality parameters and factors impacting the water quality of drinking water reservoirs in Zhejiang Province, and they could assist managers in making effective strategies to better protect water resources.

Suggested Citation

  • Qing Gu & Ke Wang & Jiadan Li & Ligang Ma & Jinsong Deng & Kefeng Zheng & Xiaobin Zhang & Li Sheng, 2015. "Spatio-Temporal Trends and Identification of Correlated Variables with Water Quality for Drinking-Water Reservoirs," IJERPH, MDPI, vol. 12(10), pages 1-16, October.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:10:p:13179-13194:d:57453
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/12/10/13179/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/12/10/13179/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Huang, Qiuqiong & Rozelle, Scott & Wang, Jinxia & Huang, Jikun, 2009. "Water management institutional reform: A representative look at northern China," Agricultural Water Management, Elsevier, vol. 96(2), pages 215-225, February.
    2. Xiaojie Meng & Yan Zhang & Xiangyi Yu & Jinyan Zhan & Yingying Chai & Andrea Critto & Yating Li & Jinjian Li, 2015. "Analysis of the Temporal and Spatial Distribution of Lake and Reservoir Water Quality in China and Changes in Its Relationship with GDP from 2005 to 2010," Sustainability, MDPI, vol. 7(2), pages 1-28, February.
    3. Markus Berger & Matthias Finkbeiner, 2010. "Water Footprinting: How to Address Water Use in Life Cycle Assessment?," Sustainability, MDPI, vol. 2(4), pages 1-26, April.
    4. Li, Lu & Shi, Zhi-Hua & Yin, Wei & Zhu, Dun & Ng, Sai Leung & Cai, Chong-Fa & Lei, A-Lin, 2009. "A fuzzy analytic hierarchy process (FAHP) approach to eco-environmental vulnerability assessment for the danjiangkou reservoir area, China," Ecological Modelling, Elsevier, vol. 220(23), pages 3439-3447.
    5. Mônica Bahia Schlee & Kenneth R. Tamminga & Vera Regina Tangari, 2012. "A Method for Gauging Landscape Change as a Prelude to Urban Watershed Regeneration: The Case of the Carioca River, Rio de Janeiro," Sustainability, MDPI, vol. 4(9), pages 1-45, August.
    6. Khan, Shahbaz & Hanjra, Munir A. & Mu, Jianxin, 2009. "Water management and crop production for food security in China: A review," Agricultural Water Management, Elsevier, vol. 96(3), pages 349-360, March.
    7. Chaithanya Merugu & Ravichandran Seetharaman, 2013. "Comparative analysis of land use and lake water quality in rural and urban zones of south Chennai, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 15(2), pages 511-528, April.
    8. Chaves, Paulo & Tsukatani, Tsuneo & Kojiri, Toshiharu, 2004. "Operation of storage reservoir for water quality by using optimization and artificial intelligence techniques," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 67(4), pages 419-432.
    9. Edmund C. Merem & Sudha Yerramilli & Yaw A. Twumasi & Joan M. Wesley & Bennetta Robinson & Chandra Richardson, 2011. "The Applications of GIS in the Analysis of the Impacts of Human Activities on South Texas Watersheds," IJERPH, MDPI, vol. 8(6), pages 1-29, June.
    10. Qing Gu & Jinsong Deng & Ke Wang & Yi Lin & Jun Li & Muye Gan & Ligang Ma & Yang Hong, 2014. "Identification and Assessment of Potential Water Quality Impact Factors for Drinking-Water Reservoirs," IJERPH, MDPI, vol. 11(6), pages 1-16, June.
    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. Jianjun Tang & Henk Folmer & Arno J. Vlist & Jianhong Xue, 2014. "The impacts of management reform on irrigation water use efficiency in the Guanzhong plain, China," Papers in Regional Science, Wiley Blackwell, vol. 93(2), pages 455-475, June.
    2. Guifang Yang & Zhenghong Chen, 2015. "RS-based fuzzy multiattribute assessment of eco-environmental vulnerability in the source area of the Lishui River of northwest Hunan Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(2), pages 1145-1161, September.
    3. Jun Nakatani & Tamon Maruyama & Kosuke Fukuchi & Yuichi Moriguchi, 2015. "A Practical Approach to Screening Potential Environmental Hotspots of Different Impact Categories in Supply Chains," Sustainability, MDPI, vol. 7(9), pages 1-15, August.
    4. Islam, AFM Tariqul & Islam, AKM Saiful & Islam, GM Tarekul & Bala, Sujit Kumar & Salehin, Mashfiqus & Choudhury, Apurba Kanti & Dey, Nepal C. & Hossain, Akbar, 2022. "Adaptation strategies to increase water productivity of wheat under changing climate," Agricultural Water Management, Elsevier, vol. 264(C).
    5. Diego Bairrão & João Soares & José Almeida & John F. Franco & Zita Vale, 2023. "Green Hydrogen and Energy Transition: Current State and Prospects in Portugal," Energies, MDPI, vol. 16(1), pages 1-23, January.
    6. Liu, Yu & Guo, Lei & Huang, Ze & López-Vicente, Manuel & Wu, Gao-Lin, 2020. "Root morphological characteristics and soil water infiltration capacity in semi-arid artificial grassland soils," Agricultural Water Management, Elsevier, vol. 235(C).
    7. repec:ajn:agdeve:2017:p:1-12 is not listed on IDEAS
    8. Zhang, Fengtai & Xiao, Yuedong & Gao, Lei & Ma, Dalai & Su, Ruiqi & Yang, Qing, 2022. "How agricultural water use efficiency varies in China—A spatial-temporal analysis considering unexpected outputs," Agricultural Water Management, Elsevier, vol. 260(C).
    9. Weixing Ma & Tinglin Huang & Xuan Li & Zizhen Zhou & Yang Li & Kang Zeng, 2015. "The Effects of Storm Runoff on Water Quality and the Coping Strategy of a Deep Canyon-Shaped Source Water Reservoir in China," IJERPH, MDPI, vol. 12(7), pages 1-17, July.
    10. Bo Yang & Ming-Han Li & Shujuan Li, 2013. "Design-with-Nature for Multifunctional Landscapes: Environmental Benefits and Social Barriers in Community Development," IJERPH, MDPI, vol. 10(11), pages 1-26, October.
    11. Zhihai Yang & Amin W. Mugera & Fan Zhang, 2016. "Investigating Yield Variability and Inefficiency in Rice Production: A Case Study in Central China," Sustainability, MDPI, vol. 8(8), pages 1-11, August.
    12. Ming Tang & Huchang Liao & Zhengjun Wan & Enrique Herrera-Viedma & Marc A. Rosen, 2018. "Ten Years of Sustainability (2009 to 2018): A Bibliometric Overview," Sustainability, MDPI, vol. 10(5), pages 1-21, May.
    13. Mohsen Mostafa & Nishtman Hatami & Kambiz Espahbodi & Farhad Asadi, 2022. "Fuzzy Analytic Hierarchy Process (FAHP) applied to evaluating the forest management approaches," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 68(7), pages 263-276.
    14. 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.
    15. Tsai, Wen-Ping & Cheng, Chung-Lien & Uen, Tinn-Shuan & Zhou, Yanlai & Chang, Fi-John, 2019. "Drought mitigation under urbanization through an intelligent water allocation system," Agricultural Water Management, Elsevier, vol. 213(C), pages 87-96.
    16. Xian’En Wang & Wei Zhan & Shuo Wang, 2020. "Uncertain Water Environment Carrying Capacity Simulation Based on the Monte Carlo Method–System Dynamics Model: A Case Study of Fushun City," IJERPH, MDPI, vol. 17(16), pages 1-18, August.
    17. Liu, Yansui & Zhou, Yang, 2021. "Reflections on China's food security and land use policy under rapid urbanization," Land Use Policy, Elsevier, vol. 109(C).
    18. Yue Zhang & Yue Chang & Kanhua Yu & Liyuan Zhang & Xuxiang Li, 2021. "Difference Analysis of Ecological Vulnerability and Zoning Changes of National Energy and Chemical Bases Using FAHP Method," IJERPH, MDPI, vol. 18(13), pages 1-14, June.
    19. Wang, Yahua & Chen, Chunliang & Araral, Eduardo, 2016. "The Effects of Migration on Collective Action in the Commons: Evidence from Rural China," World Development, Elsevier, vol. 88(C), pages 79-93.
    20. Zhao, Rongqin & Liu, Ying & Tian, Mengmeng & Ding, Minglei & Cao, Lianhai & Zhang, Zhanping & Chuai, Xiaowei & Xiao, Liangang & Yao, Lunguang, 2018. "Impacts of water and land resources exploitation on agricultural carbon emissions: The water-land-energy-carbon nexus," Land Use Policy, Elsevier, vol. 72(C), pages 480-492.
    21. Zou, Haiyang & Fan, Junliang & Zhang, Fucang & Xiang, Youzhen & Wu, Lifeng & Yan, Shicheng, 2020. "Optimization of drip irrigation and fertilization regimes for high grain yield, crop water productivity and economic benefits of spring maize in Northwest China," Agricultural Water Management, Elsevier, vol. 230(C).

    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:12:y:2015:i:10:p:13179-13194:d:57453. 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.