IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v37y2023i8d10.1007_s11269-023-03476-2.html
   My bibliography  Save this article

Influence of Land Surface Temperature and Rainfall on Surface Water Change: An Innovative Machine Learning Approach

Author

Listed:
  • Vanita Jain

    (Bharati Vidyapeeth’s College Of Engineering)

  • Aarushi Dhingra

    (Bharati Vidyapeeth’s College Of Engineering)

  • Eeshita Gupta

    (Bharati Vidyapeeth’s College Of Engineering)

  • Ish Takkar

    (Bharati Vidyapeeth’s College Of Engineering)

  • Rachna Jain

    (Bhagwan Parshuram Institute of Technology)

  • Sardar M. N. Islam

    (ISILC, Victoria University)

Abstract

The largest reservoir of drinkable water on Earth is surface water. It is crucial for maintaining ecosystems and enabling people to adapt to diverse climate changes. Despite surface freshwater is essential for life, the current research shows a striking lack of understanding in its spatial and temporal dynamics of variations in outflow and storage across a sizable country: India. Numerous restrictions apply to current research, including the use of insufficient machine learning techniques and limited data series. This work uses cutting-edge and SOTA-method to use the available data and machine learning to accurately understand spatial and temporal dynamics of variations in surface freshwater outflow and storage using extended data series. The authors did the examination of thematic maps produced using ArcMap 10.8 from June’2005 to June’2020 using JRC dataset to track changes in the intensity of surface water. Google Earth Engine in Python API has been devised to detect changes in surface water levels and quantifying shifting map trends. Raster image viewing, editing, and calculation are done with ArcMap. For determining the relationship between declines in Surface water levels, changes in rainfall intensity and land surface temperature, variables were averaged over 13 rivers for 15 years. The change in surface water is reliant on independent variables of change in land surface temperature and rainfall intensity. The authors use the correlation between these parameters to achieve an average R-squared adjusted value of 0.402. The study's findings contribute to a better understanding of the matter and can be used across the world.

Suggested Citation

  • Vanita Jain & Aarushi Dhingra & Eeshita Gupta & Ish Takkar & Rachna Jain & Sardar M. N. Islam, 2023. "Influence of Land Surface Temperature and Rainfall on Surface Water Change: An Innovative Machine Learning Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 3013-3035, June.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:8:d:10.1007_s11269-023-03476-2
    DOI: 10.1007/s11269-023-03476-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-023-03476-2
    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/s11269-023-03476-2?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. Khalil Ghorbani & Meysam Salarijazi & Nozar Ghahreman, 2022. "Developing Stepwise m5 Tree Model to Determine the Influential Factors on Rainfall Prediction and to Overcome the Greedy Problem of its Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(9), pages 3327-3348, July.
    2. Jingjing Xia & Jin Zeng, 2022. "Environmental Factors Assisted the Evaluation of Entropy Water Quality Indices with Efficient Machine Learning Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(6), pages 2045-2060, April.
    3. Richard G. Taylor & Bridget Scanlon & Petra Döll & Matt Rodell & Rens van Beek & Yoshihide Wada & Laurent Longuevergne & Marc Leblanc & James S. Famiglietti & Mike Edmunds & Leonard Konikow & Timothy , 2013. "Ground water and climate change," Nature Climate Change, Nature, vol. 3(4), pages 322-329, April.
    4. Jean-François Pekel & Andrew Cottam & Noel Gorelick & Alan S. Belward, 2016. "High-resolution mapping of global surface water and its long-term changes," Nature, Nature, vol. 540(7633), pages 418-422, December.
    5. Xiaobin Zhang & Ligang Ma & Yihang Zhu & Weidong Lou & Baoliang Xie & Li Sheng & Hao Hu & Kefeng Zheng & Qing Gu, 2022. "Temporal Stability Analysis for the Evaluation of Spatial and Temporal Patterns of Surface Water Quality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(4), pages 1413-1429, March.
    6. Harish Puppala & Ajit Pratap Singh, 2021. "Analysis of urban heat island effect in Visakhapatnam, India, using multi-temporal satellite imagery: causes and possible remedies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11475-11493, August.
    7. Aida Mehrazar & Ali Reza Massah Bavani & Alireza Gohari & Mahmoud Mashal & Hadisseh Rahimikhoob, 2020. "Adaptation of Water Resources System to Water Scarcity and Climate Change in the Suburb Area of Megacities," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(12), pages 3855-3877, September.
    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. Qingqing Zhang & Xue-yi You, 2024. "Recent Advances in Surface Water Quality Prediction Using Artificial Intelligence Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(1), pages 235-250, January.
    2. Giacomo Falchetta & Nicolò Stevanato & Magda Moner-Girona & Davide Mazzoni & Emanuela Colombo & Manfred Hafner, 2020. "M-LED: Multi-sectoral Latent Electricity Demand Assessment for Energy Access Planning," Working Papers 2020.09, Fondazione Eni Enrico Mattei.
    3. Berggreen, Steve & Mattisson, Linn, 2023. "The Curse of Bad Geography: Stagnant Water, Diseases, and Children’s Human Capital," Working Papers 2023:11, Lund University, Department of Economics.
    4. Nicolás Ruiz, Néstor & Suárez Alonso, María Luisa & Vidal-Abarca, María Rosario, 2021. "Contributions of dry rivers to human well-being: A global review for future research," Ecosystem Services, Elsevier, vol. 50(C).
    5. Jinlong Li & Genxu Wang & Chunlin Song & Shouqin Sun & Jiapei Ma & Ying Wang & Linmao Guo & Dongfeng Li, 2024. "Recent intensified erosion and massive sediment deposition in Tibetan Plateau rivers," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    6. Mohammad Zeynoddin & Hossein Bonakdari & Silvio José Gumiere & Alain N. Rousseau, 2023. "Multi-Tempo Forecasting of Soil Temperature Data; Application over Quebec, Canada," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    7. Gianluigi Busico & Maria Margarita Ntona & Sílvia C. P. Carvalho & Olga Patrikaki & Konstantinos Voudouris & Nerantzis Kazakis, 2021. "Simulating Future Groundwater Recharge in Coastal and Inland Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3617-3632, September.
    8. Romy Hulskamp & Arjen Luijendijk & Bas Maren & Antonio Moreno-Rodenas & Floris Calkoen & Etiënne Kras & Stef Lhermitte & Stefan Aarninkhof, 2023. "Global distribution and dynamics of muddy coasts," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    9. Jian Zhang & Xiaoqian Liu & Yao Qin & Yaoyuan Fan & Shuqian Cheng, 2024. "Wetlands Mapping and Monitoring with Long-Term Time Series Satellite Data Based on Google Earth Engine, Random Forest, and Feature Optimization: A Case Study in Gansu Province, China," Land, MDPI, vol. 13(9), pages 1-25, September.
    10. Vinícius B. P. Chagas & Pedro L. B. Chaffe & Günter Blöschl, 2022. "Climate and land management accelerate the Brazilian water cycle," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    11. Zhang, Yuliang & Wu, Zhiyong & Singh, Vijay P. & Lin, Qingxia & Ning, Shaowei & Zhou, Yuliang & Jin, Juliang & Zhou, Rongxing & Ma, Qiang, 2023. "Agricultural drought characteristics in a typical plain region considering irrigation, crop growth, and water demand impacts," Agricultural Water Management, Elsevier, vol. 282(C).
    12. Xueru Guo & Rui Zuo & Li Meng & Jinsheng Wang & Yanguo Teng & Xin Liu & Minhua Chen, 2018. "Seasonal and Spatial Variability of Anthropogenic and Natural Factors Influencing Groundwater Quality Based on Source Apportionment," IJERPH, MDPI, vol. 15(2), pages 1-19, February.
    13. Mitter, Hermine & Schmid, Erwin, 2021. "Informing groundwater policies in semi-arid agricultural production regions under stochastic climate scenario impacts," Ecological Economics, Elsevier, vol. 180(C).
    14. Paulilo Brasil & Pedro Medeiros, 2020. "NeStRes – Model for Operation of Non-Strategic Reservoirs for Irrigation in Drylands: Model Description and Application to a Semiarid Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(1), pages 195-210, January.
    15. Hossein Mikhak & Mehdi Rahimian & Saeed Gholamrezai, 2022. "Implications of changing cropping pattern to low water demand plants due to climate change: evidence from Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 9833-9850, August.
    16. Zehai Gao & Yang Liu & Nan Li & Kangjie Ma, 2022. "An Enhanced Beetle Antennae Search Algorithm Based Comprehensive Water Quality Index for Urban River Water Quality Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(8), pages 2685-2702, June.
    17. Donghui Xu & Gautam Bisht & Zeli Tan & Eva Sinha & Alan V. Vittorio & Tian Zhou & Valeriy Y. Ivanov & L. Ruby Leung, 2024. "Climate change will reduce North American inland wetland areas and disrupt their seasonal regimes," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    18. Qianhan Wu & Linghong Ke & Jida Wang & Tamlin M. Pavelsky & George H. Allen & Yongwei Sheng & Xuejun Duan & Yunqiang Zhu & Jin Wu & Lei Wang & Kai Liu & Tan Chen & Wensong Zhang & Chenyu Fan & Bin Yon, 2023. "Satellites reveal hotspots of global river extent change," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    19. Giada Felisa & Giulio Panini & Pietro Pedrazzoli & Vittorio Di Federico, 2022. "Combined Management of Groundwater Resources and Water Supply Systems at Basin Scale Under Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(3), pages 915-930, February.
    20. Alexey Victorov & Veronika Kapralova & Timofey Orlov & Olga Trapeznikova & Maria Arkhipova, 2022. "Research into Cryolithozone Spatial Pattern Changes Based on the Mathematical Morphology of Landscapes," Energies, MDPI, vol. 15(3), pages 1-19, February.

    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:8:d:10.1007_s11269-023-03476-2. 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.