IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v37y2023i6d10.1007_s11269-022-03324-9.html
   My bibliography  Save this article

Assessment of the Analytic and Hydrologic Methods in Separation of Watershed Response to Climate and Land Use Changes

Author

Listed:
  • Omidreza Mikaeili

    (Technical and Engineering College, Shahid Beheshti University)

  • Mojtaba Shourian

    (Technical and Engineering College, Shahid Beheshti University)

Abstract

Climate change and human activities are two major drivers that alter hydrological cycle processes and cause changes in spatio-temporal distribution of water availability. Streamflow as the most important component of hydrologic cycle is expected to be influenced by climate change as well as human activities. Three methods including hydrological sensitivity procedure, slope change ratio of cumulative quantity and hydrological modeling by SWAT are investigated and compared for separating the impact of climate change and human activities on the Minab River flow in south of Iran. Also, nine scenarios are defined for development of agricultural land and urbanization to evaluate the effect of climate change and human activities within the SWAT model. Mann–Kendall and Pettitt tests are used to analyze the trends and the change point in the climatic data time series. Results show that the share of human activities and climate change are close in three methods. Scenario H9 that includes the development of agricultural land and urbanization by 30% compared to the present situation reduced the streamflow by 88.8% that is the highest reduction among the scenarios. Also, the results indicate that human activities are the main reason for streamflow reduction in the Minab River.

Suggested Citation

  • Omidreza Mikaeili & Mojtaba Shourian, 2023. "Assessment of the Analytic and Hydrologic Methods in Separation of Watershed Response to Climate and Land Use Changes," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2575-2591, May.
  • Handle: RePEc:spr:waterr:v:37:y:2023:i:6:d:10.1007_s11269-022-03324-9
    DOI: 10.1007/s11269-022-03324-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-022-03324-9
    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/s11269-022-03324-9?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. ChaoQing Yu & Xiao Huang & Han Chen & H. Charles J. Godfray & Jonathon S. Wright & Jim W. Hall & Peng Gong & ShaoQiang Ni & ShengChao Qiao & GuoRui Huang & YuChen Xiao & Jie Zhang & Zhao Feng & XiaoTa, 2019. "Managing nitrogen to restore water quality in China," Nature, Nature, vol. 567(7749), pages 516-520, March.
    2. 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.
    3. Meilin Wang & Yaqi Shao & Qun’ou Jiang & Ling Xiao & Haiming Yan & Xiaowei Gao & Lijun Wang & Peibin Liu, 2020. "Impacts of Climate Change and Human Activity on the Runoff Changes in the Guishui River Basin," Land, MDPI, vol. 9(9), pages 1-20, August.
    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. Heng Liu & Caizhu Huang & Heng Lian & Xia Cui, 2023. "Hierarchical Spatially Varying Coefficient Process Regression for Modeling Net Anthropogenic Nitrogen Inputs (NANI) from the Watershed of the Yangtze River, China," Sustainability, MDPI, vol. 15(16), pages 1-15, August.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Tweneboah Senzu, Emmanuel, 2020. "Modern currency exchange rate behaviour and proposed trend-like forecasting model," MPRA Paper 99933, University Library of Munich, Germany.
    12. Li Wang & Siyuan Liu & Wendi Xuan & Shaopeng Li & Anlei Wei, 2022. "Efficient Nitrate Adsorption from Groundwater by Biochar-Supported Al-Substituted Goethite," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    13. 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.
    14. 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.
    15. Ling Xiao & Li Cui & Qun’ou Jiang & Meilin Wang & Lidan Xu & Haiming Yan, 2020. "Spatial Structure of a Potential Ecological Network in Nanping, China, Based on Ecosystem Service Functions," Land, MDPI, vol. 9(10), pages 1-18, October.
    16. 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.
    17. Mingqing Liu & Yuncheng Wu & Sijie Huang & Yuwen Yang & Yan Li & Lei Wang & Yunguan Xi & Jibing Zhang & Qiuhui Chen, 2022. "Effects of Organic Fertilization Rates on Surface Water Nitrogen and Phosphorus Concentrations in Paddy Fields," Agriculture, MDPI, vol. 12(9), pages 1-12, September.
    18. 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.
    19. 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.
    20. 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.

    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:37:y:2023:i:6:d:10.1007_s11269-022-03324-9. 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.