IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v34y2020i6d10.1007_s11269-020-02536-1.html
   My bibliography  Save this article

The Use of the Normalized Difference Vegetation Index to Analyze the Influence of Vegetation Cover Changes on the Streamflow in the Manhuaçu River Basin, Brazil

Author

Listed:
  • Uilson Ricardo Venâncio Aires

    (Universidade Federal de Viçosa)

  • Demetrius David Silva

    (Universidade Federal de Viçosa)

  • Michel Castro Moreira

    (Universidade Federal de Viçosa)

  • Carlos Antônio Alvares Soares Ribeiro

    (Universidade Federal de Viçosa)

  • Celso Bandeira de Melo Ribeiro

    (Universidade Federal de Viçosa)

Abstract

The intensification of anthropogenic activities in river basins has significantly altered river streamflow. Thus, the aim of this work is to evaluate the influence of temporal and spatial changes in vegetation cover on the streamflow of the Manhuaçu River, Brazil using the normalized difference vegetation index (NDVI). The NDVI values were obtained from Landsat images for 1986 to 2014 and processed on the Google Earth Engine (GEE). To characterize the hydrologic behavior of the basin, we used data from eight streamflow gauge stations and 18 rain gauge stations, and we conducted Mann-Kendall and Pettitt tests to evaluate the stationarity hypothesis. To verify the relationship between the vegetation cover changes and the streamflow, we used multiple regression models. In the analyzed period, we observed a slight increase in the vegetation cover and a reduction in pasture areas. In most cases, the annual low flow exhibited a decreasing tendency because of an increase in vegetation area. We obtained satisfactory adjustments of the multiple regression models by examining the correlations among the change in vegetation cover, rainfall and evapotranspiration data, which resulted in adjusted Ra2$$ {\mathrm{R}}_{\mathrm{a}}^2 $$ values ranging from 0.59 to 0.96. The NDVI values were a good indicator of vegetation cover dynamics in the Manhuaçu River basin, which influenced the nonstationary streamflow behavior.

Suggested Citation

  • Uilson Ricardo Venâncio Aires & Demetrius David Silva & Michel Castro Moreira & Carlos Antônio Alvares Soares Ribeiro & Celso Bandeira de Melo Ribeiro, 2020. "The Use of the Normalized Difference Vegetation Index to Analyze the Influence of Vegetation Cover Changes on the Streamflow in the Manhuaçu River Basin, Brazil," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(6), pages 1933-1949, April.
  • Handle: RePEc:spr:waterr:v:34:y:2020:i:6:d:10.1007_s11269-020-02536-1
    DOI: 10.1007/s11269-020-02536-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-020-02536-1
    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/s11269-020-02536-1?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. A. N. Pettitt, 1979. "A Non‐Parametric Approach to the Change‐Point Problem," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 28(2), pages 126-135, June.
    2. Calder, Ian R., 1986. "Water use of eucalypts -- A review with special reference to South India," Agricultural Water Management, Elsevier, vol. 11(3-4), pages 333-342, September.
    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. Mohsen Sharafatmandrad & Azam Khosravi Mashizi, 2021. "Temporal and Spatial Assessment of Supply and Demand of the Water-yield Ecosystem Service for Water Scarcity Management in Arid to Semi-arid Ecosystems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 63-82, January.
    2. Shaohong Li & Peng Cui & Ping Cheng & Lizhou Wu, 2022. "Modified Green–Ampt Model Considering Vegetation Root Effect and Redistribution Characteristics for Slope Stability Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2395-2410, 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. Kazi Ali Tamaddun & Ajay Kalra & Sajjad Ahmad, 2019. "Spatiotemporal Variation in the Continental US Streamflow in Association with Large-Scale Climate Signals Across Multiple Spectral Bands," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 1947-1968, April.
    2. Alina Bărbulescu & Cristian Ștefan Dumitriu, 2021. "On the Connection between the GEP Performances and the Time Series Properties," Mathematics, MDPI, vol. 9(16), pages 1-19, August.
    3. Alfredas Račkauskas & Martin Wendler, 2020. "Convergence of U-processes in Hölder spaces with application to robust detection of a changed segment," Statistical Papers, Springer, vol. 61(4), pages 1409-1435, August.
    4. Catherine Araujo Bonjean & Alioune N’diaye & Olivier Santoni, 2019. "Who benefits from the return of the rains? The case of the Ferlo breeders in Senegal [A qui profite le retour des pluies ? Le cas des éleveurs du Ferlo]," CERDI Working papers halshs-02419601, HAL.
    5. Sanghyuk Yoo & Sangyong Jeon & Seunghwan Jeong & Heesoo Lee & Hosun Ryou & Taehyun Park & Yeonji Choi & Kyongjoo Oh, 2021. "Prediction of the Change Points in Stock Markets Using DAE-LSTM," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
    6. Joseph Ngatchou-Wandji & Echarif Elharfaoui & Michel Harel, 2022. "On change-points tests based on two-samples U-Statistics for weakly dependent observations," Statistical Papers, Springer, vol. 63(1), pages 287-316, February.
    7. Dario Camuffo & Antonio della Valle & Francesca Becherini & Valeria Zanini, 2020. "Three centuries of daily precipitation in Padua, Italy, 1713–2018: history, relocations, gaps, homogeneity and raw data," Climatic Change, Springer, vol. 162(2), pages 923-942, September.
    8. Ijaz Ahmad & Li Wang & Faisal Ali & Fan Zhang, 2022. "Spatiotemporal Patterns of Extreme Precipitation Events over Jhelum River Basin," Sustainability, MDPI, vol. 14(23), pages 1-18, November.
    9. Tweneboah Senzu, Emmanuel, 2020. "Modern currency exchange rate behaviour and proposed trend-like forecasting model," MPRA Paper 99933, University Library of Munich, Germany.
    10. Moldir Rakhimova & Tie Liu & Sanim Bissenbayeva & Yerbolat Mukanov & Khusen Sh. Gafforov & Zhuldyzay Bekpergenova & Aminjon Gulakhmadov, 2020. "Assessment of the Impacts of Climate Change and Human Activities on Runoff Using Climate Elasticity Method and General Circulation Model (GCM) in the Buqtyrma River Basin, Kazakhstan," Sustainability, MDPI, vol. 12(12), pages 1-22, June.
    11. Vishnu Prasad Pandey & Dibesh Shrestha & Mina Adhikari & Shristi Shakya, 2020. "Streamflow Alterations, Attributions, and Implications in Extended East Rapti Watershed, Central-Southern Nepal," Sustainability, MDPI, vol. 12(9), pages 1-30, May.
    12. Lingqi Li & Kai Wu & Enhui Jiang & Huijuan Yin & Yuanjian Wang & Shimin Tian & Suzhen Dang, 2021. "Evaluating Runoff-Sediment Relationship Variations Using Generalized Additive Models That Incorporate Reservoir Indices for Check Dams," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3845-3860, September.
    13. Elton Luis Silva Abel & Rafael Coll Delgado & Regiane Souza Vilanova & Paulo Eduardo Teodoro & Carlos Antonio Silva Junior & Marcel Carvalho Abreu & Guilherme Fernando Capristo Silva, 2021. "Environmental dynamics of the Juruá watershed in the Amazon," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 6769-6785, May.
    14. Jianzhu Li & Qiushuang Ma & Yu Tian & Yuming Lei & Ting Zhang & Ping Feng, 2019. "Flood scaling under nonstationarity in Daqinghe River basin, 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. 98(2), pages 675-696, September.
    15. Zhiqiang Pang & Zhaoxu Wang, 2021. "Temperature trend analysis and extreme high temperature prediction based on weighted Markov Model in Lanzhou," 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. 108(1), pages 891-906, August.
    16. K. F. Fung & Y. F. Huang & C. H. Koo, 2020. "Assessing drought conditions through temporal pattern, spatial characteristic and operational accuracy indicated by SPI and SPEI: case analysis for Peninsular Malaysia," 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. 103(2), pages 2071-2101, September.
    17. Diana Šarauskienė & Darius Jakimavičius & Aldona Jurgelėnaitė & Jūratė Kriaučiūnienė, 2024. "Warming Climate-Induced Changes in Lithuanian River Ice Phenology," Sustainability, MDPI, vol. 16(2), pages 1-18, January.
    18. Jean-François Quessy, 2019. "Consistent nonparametric tests for detecting gradual changes in the marginals and the copula of multivariate time series," Statistical Papers, Springer, vol. 60(3), pages 717-746, June.
    19. Nekruz Gulahmadov & Yaning Chen & Aminjon Gulakhmadov & Moldir Rakhimova & Manuchekhr Gulakhmadov, 2021. "Quantifying the Relative Contribution of Climate Change and Anthropogenic Activities on Runoff Variations in the Central Part of Tajikistan in Central Asia," Land, MDPI, vol. 10(5), pages 1-29, May.
    20. Rama, Nandamuri Yamini & Ganguli, Poulomi & Chatterjee, Chandranath, 2019. "Are Detected Trends in Flood Magnitude and Shifts in the Timing of Floods of A Major River Basin in India, Linked To Anthropogenic Stressors?," Earth Arxiv kmcty, Center for Open Science.

    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:34:y:2020:i:6:d:10.1007_s11269-020-02536-1. 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.