IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v33y2019i6d10.1007_s11269-019-02226-7.html
   My bibliography  Save this article

Wavelet Transform Based Method for River Stream Flow Time Series Frequency Analysis and Assessment in Tropical Environment

Author

Listed:
  • Kai Lun Chong

    (University of Malaya)

  • Sai Hin Lai

    (University of Malaya)

  • Ahmed El-Shafie

    (University of Malaya)

Abstract

The main aim of this study is to perform a time series frequency analysis and assessment for stream flow over the Johor River using a comparative method between wavelet transform (WT) and Fourier transform (FT). One of the wavelet analyses used was the discrete wavelet transform (DWT), which revealed the periodic wavelet components responsible for the trend detection. Using the FT, the periodicities that governed the trend can be obtained; however, in terms of the time domain analysis, FT seems to be lacking compared to the WT. The conditions for using DWT are discussed, and the selection decisions for such discretization are considered. Besides, using the global wavelet spectrum (GWS) and the continuous wavelet transform (CWT), the dominant periodicity components can be further well described in time frequency characteristic. In addition, the integration of the WT and Mann–Kendall (MK) test allows the determination of possible trends present in the stream flow dataset series. It is shown that the wavelet analysis is more suitable than the Fourier analysis as it exhibits good extraction of the time and frequency characteristics, especially for a nonstationary data series.

Suggested Citation

  • Kai Lun Chong & Sai Hin Lai & Ahmed El-Shafie, 2019. "Wavelet Transform Based Method for River Stream Flow Time Series Frequency Analysis and Assessment in Tropical Environment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2015-2032, April.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:6:d:10.1007_s11269-019-02226-7
    DOI: 10.1007/s11269-019-02226-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-019-02226-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-019-02226-7?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. Sheng Yue & ChunYuan Wang, 2004. "The Mann-Kendall Test Modified by Effective Sample Size to Detect Trend in Serially Correlated Hydrological Series," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 18(3), pages 201-218, June.
    2. Deg-Hyo Bae & Toshio Koike & Jehangir Awan & Moon-Hwan Lee & Kyung-Hwan Sohn, 2015. "Climate Change Impact Assessment on Water Resources and Susceptible Zones Identification in the Asian Monsoon Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5377-5393, November.
    3. Mojtaba Shadmani & Safar Marofi & Majid Roknian, 2012. "Trend Analysis in Reference Evapotranspiration Using Mann-Kendall and Spearman’s Rho Tests in Arid Regions of Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(1), pages 211-224, January.
    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. Kai Lun Chong & Sai Hin Lai & Yu Yao & Ali Najah Ahmed & Wan Zurina Wan Jaafar & Ahmed El-Shafie, 2020. "Performance Enhancement Model for Rainfall Forecasting Utilizing Integrated Wavelet-Convolutional Neural Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(8), pages 2371-2387, June.
    2. Shokry Abdelaziz & Ahmed Mohamed Mahmoud Ahmed & Abdelhamid Mohamed Eltahan & Ahmed Medhat Ismail Abd Elhamid, 2023. "Long-Term Stochastic Modeling of Monthly Streamflow in River Nile," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
    3. Alireza Emadi & Reza Sobhani & Hossein Ahmadi & Arezoo Boroomandnia & Sarvin Zamanzad-Ghavidel & Hazi Mohammad Azamathulla, 2022. "Multivariate modeling of agricultural river water abstraction via novel integrated-wavelet methods in various climatic conditions," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 4845-4871, April.

    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. Pratik Pathak & Ajay Kalra & Sajjad Ahmad & Miguel Bernardez, 2016. "Wavelet-Aided Analysis to Estimate Seasonal Variability and Dominant Periodicities in Temperature, Precipitation, and Streamflow in the Midwestern United States," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4649-4665, October.
    2. Jian Tang & Xin-An Yin & Pan Yang & ZhiFeng Yang, 2014. "Assessment of Contributions of Climatic Variation and Human Activities to Streamflow Changes in the Lancang River, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2953-2966, August.
    3. Brian Thomas & James Famiglietti, 2015. "Sustainable Groundwater Management in the Arid Southwestern US: Coachella Valley, California," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(12), pages 4411-4426, September.
    4. Xiaodong Ren & Diogo S. Martins & Zhongyi Qu & Paula Paredes & Luis S. Pereira, 2016. "Daily Reference Evapotranspiration for Hyper-Arid to Moist Sub-Humid Climates in Inner Mongolia, China: II. Trends of ETo and Weather Variables and Related Spatial Patterns," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3793-3814, September.
    5. Miao Fang & Xin Li & Hans W. Chen & Deliang Chen, 2022. "Arctic amplification modulated by Atlantic Multidecadal Oscillation and greenhouse forcing on multidecadal to century scales," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    6. Mansoor Ahmed & Ghulam Hussain Dars & Suhail Ahmed & Nir Y. Krakauer, 2023. "Analyzing drought trends over Sindh Province, Pakistan," 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. 119(1), pages 643-661, October.
    7. Xiaqing Feng & Guangxin Zhang & Xiongrui Yin, 2011. "Hydrological Responses to Climate Change in Nenjiang River Basin, Northeastern China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(2), pages 677-689, January.
    8. Weibin Zhang & Xiaochun Zha & Jiaxing Li & Wei Liang & Yugai Ma & Dongmei Fan & Sha Li, 2014. "Spatiotemporal Change of Blue Water and Green Water Resources in the Headwater of Yellow River Basin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4715-4732, October.
    9. Hüseyin Yavuz & Saffet Erdoğan, 2012. "Spatial Analysis of Monthly and Annual Precipitation Trends in Turkey," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(3), pages 609-621, February.
    10. Dimitrios Myronidis & Konstantinos Ioannou & Dimitrios Fotakis & Gerald Dörflinger, 2018. "Streamflow and Hydrological Drought Trend Analysis and Forecasting in Cyprus," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1759-1776, March.
    11. Wan-Jiun Chen, 2017. "Is the Green Solow Model Valid for $$\hbox {CO}_{2}$$ CO 2 Emissions in the European Union?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(1), pages 23-45, May.
    12. Roquia Salam & Abu Reza Md. Towfiqul Islam & Shakibul Islam, 2020. "Spatiotemporal distribution and prediction of groundwater level linked to ENSO teleconnection indices in the northwestern region of Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(5), pages 4509-4535, June.
    13. Md. Kamruzzaman & A. T. M. Sakiur Rahman & Md. Shakil Ahmed & Md. Enamul Kabir & Quamrul Hasan Mazumder & M. Sayedur Rahman & Chowdhury Sarwar Jahan, 2018. "Spatio-temporal analysis of climatic variables in the western part of Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(1), pages 89-108, February.
    14. Muhammad Imran Khan & Dong Liu & Qiang Fu & Shuhua Dong & Umar Waqas Liaqat & Muhammad Abrar Faiz & Yuxiang Hu & Qaisar Saddique, 2016. "Recent Climate Trends and Drought Behavioral Assessment Based on Precipitation and Temperature Data Series in the Songhua River Basin of China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4839-4859, October.
    15. Myoung-Jin Um & Jun-Haeng Heo & Momcilo Markus & Donald J. Wuebbles, 2018. "Performance Evaluation of four Statistical Tests for Trend and Non-stationarity and Assessment of Observed and Projected Annual Maximum Precipitation Series in Major United States Cities," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 913-933, February.
    16. Ayllón, Daniel & Railsback, Steven F. & Vincenzi, Simone & Groeneveld, Jürgen & Almodóvar, Ana & Grimm, Volker, 2016. "InSTREAM-Gen: Modelling eco-evolutionary dynamics of trout populations under anthropogenic environmental change," Ecological Modelling, Elsevier, vol. 326(C), pages 36-53.
    17. Milan Stojković & Srđan Kostić & Stevan Prohaska & Jasna Plavšić & Vesna Tripković, 2017. "A New Approach for Trend Assessment of Annual Streamflows: a Case Study of Hydropower Plants in Serbia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(4), pages 1089-1103, March.
    18. Anas Mahmood Al-Juboori, 2019. "Generating Monthly Stream Flow Using Nearest River Data: Assessing Different Trees Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(9), pages 3257-3270, July.
    19. Farahani Mohd Saimi & Firdaus Mohamad Hamzah & Mohd Ekhwan Toriman & Othman Jaafar & Hazrina Tajudin, 2020. "Trend and Linearity Analysis of Meteorological Parameters in Peninsular Malaysia," Sustainability, MDPI, vol. 12(22), pages 1-19, November.
    20. Mojtaba Shadmani & Safar Marofi & Majid Roknian, 2012. "Trend Analysis in Reference Evapotranspiration Using Mann-Kendall and Spearman’s Rho Tests in Arid Regions of Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(1), pages 211-224, January.

    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:33:y:2019:i:6:d:10.1007_s11269-019-02226-7. 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.