IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v23y2021i11d10.1007_s10668-021-01374-4.html
   My bibliography  Save this article

Statistical investigation of long-term meteorological data to understand the variability in climate: a case study of Jharkhand, India

Author

Listed:
  • Lakhan Lal Mahato

    (Sam Higginbottom University of Agriculture, Technology and Sciences)

  • Mukesh Kumar

    (Sam Higginbottom University of Agriculture, Technology and Sciences)

  • Shakti Suryavanshi

    (Sam Higginbottom University of Agriculture, Technology and Sciences)

  • Sudhir Kumar Singh

    (University of Allahabad)

  • Deepak Lal

    (Sam Higginbottom University of Agriculture, Technology and Sciences)

Abstract

The present study was conducted to identify long-term (1901–2002) climatic trends for the state of Jharkhand. The meteorological data utilized in this study included maximum and minimum air temperatures, diurnal temperature (DTR) and rainfall for the state of Jharkhand. This data was evaluated on annual basis as well as for monsoon (June–September), winter (October–January) and summer (February–May) seasons respectively. A nonparametric statistical test (Mann–Kendall test) was employed to statistically analyze the aforementioned meteorological data. Prior to Mann–Kendall test, the time series data was processed using pre-whitening test to remove any serial correlation present in the data. An increasing trend in maximum and minimum temperatures was apparent during winter season and on annual basis for the period of study in Jharkhand at 1%, 5% and 10% significant levels. During monsoon season, all the districts exhibited decreasing trend in DTR at 1%, 5% and 10% significant levels except Giridih district where no trend was apparent at 0.0001% significance level. In winter season, no trend in DTR was apparent for all the districts at 0.0001% significance level except Pashchimi Singhbhum which exhibited decreasing trend at 10% significance level. No trend was observed in the annual DTR for most of districts except Dhanbad, Gumla, Kodarma, Lohardaga, Pashchimi Singhbhum and Ranchi. Rainfall exhibited a decreasing trend during monsoon season for all the district at 1%, 5% and 10% significant levels except Purbi Singhbhum district where the trend was not significant at 0.0001% level. A decreasing trend in annual rainfall was apparent for most of the districts at 1%, 5% and 10% significant levels. However, no significant trend was found in annual rainfall for Pashchimi and Purbi Singhbhum districts, respectively, at 0.0001% significant level. The change point test reveals that break years occured during the 1950 decade for annual maximum temperature and rainfall. Meanwhile, for minimum temperature, break years happened in 1920 decade, whereas a mix behavior was found for DTR. The findings of current study will be useful for the local resource managers and policy makers toward informed decision making.

Suggested Citation

  • Lakhan Lal Mahato & Mukesh Kumar & Shakti Suryavanshi & Sudhir Kumar Singh & Deepak Lal, 2021. "Statistical investigation of long-term meteorological data to understand the variability in climate: a case study of Jharkhand, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16981-17002, November.
  • Handle: RePEc:spr:endesu:v:23:y:2021:i:11:d:10.1007_s10668-021-01374-4
    DOI: 10.1007/s10668-021-01374-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-021-01374-4
    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/s10668-021-01374-4?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. N. H. Saji & B. N. Goswami & P. N. Vinayachandran & T. Yamagata, 1999. "A dipole mode in the tropical Indian Ocean," Nature, Nature, vol. 401(6751), pages 360-363, September.
    2. Boelee, Eline, 2013. "Managing water and agroecosystems for food security," IWMI Books, International Water Management Institute, number 209484.
    3. Bouman, B. A.M., 2007. "A conceptual framework for the improvement of crop water productivity at different spatial scales," Agricultural Systems, Elsevier, vol. 93(1-3), pages 43-60, March.
    4. Jew Das & Nanduri V. Umamahesh, 2016. "Downscaling Monsoon Rainfall over River Godavari Basin under Different Climate-Change Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(15), pages 5575-5587, December.
    5. Boelee, Eline, 2013. "Managing water and agroecosystems for food security," IWMI Books, Reports H046118, International Water Management Institute.
    6. Boelee, Eline, 2013. "Managing water and agroecosystems for food security," Book Chapters,, International Water Management Institute.
    7. Descheemaeker, K. & Bunting, S. W. & Bindraban, P. & Muthuri, C. & Molden, D. & Beveridge, M. & van Brakel, Martin & Herrero, M. & Clement, Floriane & Boelee, Eline & Jarvis, D. I., 2013. "Increasing water productivity in Agriculture," IWMI Books, Reports H046126, International Water Management Institute.
    8. D. Pattanaik, 2007. "Analysis of Rainfall Over Different Homogeneous Regions of India in Relation to Variability in Westward Movement Frequency of Monsoon Depressions," 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. 40(3), pages 635-646, March.
    9. Descheemaeker, K. & Bunting, S. W. & Bindraban, P. & Muthuri, C. & Molden, D. & Beveridge, M. & van Brakel, Martin & Herrero, M. & Clement, Floriane & Boelee, Eline & Jarvis, D. I., 2013. "Increasing water productivity in Agriculture," Book Chapters,, International Water Management Institute.
    10. Boelee, Eline, 2013. "Managing water and agroecosystems for food security," IWMI Books, Reports H046175, International Water Management Institute.
    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. Hrabrin Bachev, 2021. "Modes of Governance for Ecosystem Services in Bulgarian Farms," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 8, pages 145-174.
    2. Mukhamedova, Nozilakhon & Wegerich, Kai, 2017. "The rising challenge of multiple water resource use at the urban fringes - evidence from Ferghana District of Uzbekistan," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 3(2), pages 41-53.
    3. Alcon, Francisco & Zabala, José A. & Martínez-García, Victor & Albaladejo, José A. & López-Becerra, Erasmo I. & de-Miguel, María D. & Martínez-Paz, José M., 2022. "The social wellbeing of irrigation water. A demand-side integrated valuation in a Mediterranean agroecosystem," Agricultural Water Management, Elsevier, vol. 262(C).
    4. Alejandro Cleves & Eva Youkhana & Javier Toro, 2022. "A Method to Assess Agroecosystem Resilience to Climate Variability," Sustainability, MDPI, vol. 14(14), pages 1-26, July.
    5. Silvia Novelli & Francesca Moino & Patrizia Borsotto, 2022. "External Benefits of Irrigation in Mountain Areas: Stakeholder Perceptions and Water Policy Implications," Land, MDPI, vol. 11(9), pages 1-14, August.
    6. Bachev, Hrabrin, 2020. "On how to define, assess and improve the governance of agro-ecosystem services," MPRA Paper 100117, University Library of Munich, Germany.
    7. Bachev, Hrabrin, 2022. "Unpacking the governance of agro-ecosystem services – the case of Bulgaria," MPRA Paper 111693, University Library of Munich, Germany.
    8. Bachev, Hrabrin, 2022. "Управленчески Форми За Снабдяване На Агро-Екосистемни Услуги От Земеделските Стопанства В България [Governance modes for the supply of agro-ecosystem services by agricultural farms in Bulgaria]," MPRA Paper 112847, University Library of Munich, Germany.
    9. Hrabrin Bachev, 2020. "Defining, analyzing and improving the governance of agroecosystem services," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 3-30,31-55.
    10. Stanisław Rolbiecki & Roman Rolbiecki & Hicran A. Sadan & Barbara Jagosz & Wiesława Kasperska-Wołowicz & Ewa Kanecka-Geszke & Ferenc Pal-Fam & Atilgan Atilgan & Anna Krakowiak-Bal & Renata Kuśmierek-T, 2024. "Sustainable Water Management of Drip-Irrigated Asparagus under Conditions of Central Poland: Evapotranspiration, Water Needs and Rainfall Deficits," Sustainability, MDPI, vol. 16(3), pages 1-16, January.
    11. Bachev, Hrabrin, 2021. "A study on type, volume and governance of ecosystem services in Bulgarian farms," MPRA Paper 110966, University Library of Munich, Germany.
    12. Bachev, Hrabrin, 2021. "Ecosystem services of Bulgarian agriculture," MPRA Paper 105437, University Library of Munich, Germany.
    13. Guofeng Wang & Nan Lin & Xiaoxue Zhou & Zhihui Li & Xiangzheng Deng, 2018. "Three-Stage Data Envelopment Analysis of Agricultural Water Use Efficiency: A Case Study of the Heihe River Basin," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    14. Subhadarsini Das & Jew Das & N. V. Umamahesh, 2023. "A Non-Stationary Based Approach to Understand the Propagation of Meteorological to Agricultural Droughts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2483-2504, May.
    15. Ren, Dongyang & Xu, Xu & Engel, Bernard & Huang, Quanzhong & Xiong, Yunwu & Huo, Zailin & Huang, Guanhua, 2021. "A comprehensive analysis of water productivity in natural vegetation and various crops coexistent agro-ecosystems," Agricultural Water Management, Elsevier, vol. 243(C).
    16. Prabal Das & D. A. Sachindra & Kironmala Chanda, 2022. "Machine Learning-Based Rainfall Forecasting with Multiple Non-Linear Feature Selection Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 6043-6071, December.
    17. Weiqing Han & Lei Zhang & Gerald A. Meehl & Shoichiro Kido & Tomoki Tozuka & Yuanlong Li & Michael J. McPhaden & Aixue Hu & Anny Cazenave & Nan Rosenbloom & Gary Strand & B. Jason West & Wen Xing, 2022. "Sea level extremes and compounding marine heatwaves in coastal Indonesia," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    18. Jew Das & Alin Treesa & N. V. Umamahesh, 2018. "Modelling Impacts of Climate Change on a River Basin: Analysis of Uncertainty Using REA & Possibilistic Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 4833-4852, December.
    19. Nyakudya, Innocent Wadzanayi & Stroosnijder, Leo & Nyagumbo, Isaiah, 2014. "Infiltration and planting pits for improved water management and maize yield in semi-arid Zimbabwe," Agricultural Water Management, Elsevier, vol. 141(C), pages 30-46.
    20. Nisa Anil & M. R. Ramesh Kumar & R. Sajeev & P. K. Saji, 2016. "Role of distinct flavours of IOD events on Indian summer monsoon," 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. 82(2), pages 1317-1326, June.

    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:endesu:v:23:y:2021:i:11:d:10.1007_s10668-021-01374-4. 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.