IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v120y2024i5d10.1007_s11069-023-06373-4.html
   My bibliography  Save this article

Evaluation, bias correction and application of satellite precipitation product TRMM_3B42_V7 for extreme event-based hydrologic model in context of semi-arid region, Rajasthan, India

Author

Listed:
  • Nitin Singh Kachhawa

    (Sardar Vallabhbhai National Institute of Technology)

  • Prasit Girish Agnihotri

    (Sardar Vallabhbhai National Institute of Technology)

Abstract

The understanding and identification of peak streamflow events are important for flood risk and water resources management. Precipitation products based on the radar and satellite are an alternative or supplementary product to the areas where ground-based rain gauge station is unavailable, limited in number or sparsely located. The objectives of this study are to (1) assess the performance of TRMM_3B42 product for selected seven flood events by use of statistical and categorical matrices, and identification of elevation-related trends in them and (2) drive the HEC-HMS model by use of bias-corrected TRMM_3B42 data to reproduce the flood hydrograph in Banas River Basin, semi-arid region, Rajasthan, India. The bias-corrected TRMM_3B42 data have improved the overall accuracy of hydrologic simulation as compared to ground-based rain gauge station data. The HEC-HMS results revealed that bias-corrected TRMM_3B42 data can simulate the streamflow with less than 30% deviation in the prediction of peak discharge and flood volume and show an NSE and R2 value of 0.90 and 0.95, respectively. The bias-corrected TRMM_3B42 data are found to be excellent to reproduce the flood hydrograph at a daily temporal scale.

Suggested Citation

  • Nitin Singh Kachhawa & Prasit Girish Agnihotri, 2024. "Evaluation, bias correction and application of satellite precipitation product TRMM_3B42_V7 for extreme event-based hydrologic model in context of semi-arid region, Rajasthan, India," 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. 120(5), pages 4035-4052, March.
    • Handle: RePEc:spr:nathaz:v:120:y:2024:i:5:d:10.1007_s11069-023-06373-4
    DOI: 10.1007/s11069-023-06373-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-023-06373-4
    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/s11069-023-06373-4?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. Robyn Johnston & Vladimir Smakhtin, 2014. "Hydrological Modeling of Large river Basins: How Much is Enough?," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2695-2730, August.
    2. Yumeng Yang & Juan Du & Linlin Cheng & Wei Xu, 2017. "Applicability of TRMM satellite precipitation in driving hydrological model for identifying flood events: a case study in the Xiangjiang 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. 87(3), pages 1489-1505, July.
    3. P. Yaswanth & B. Arul Malar Kannan & V. M. Bindhu & C. Balaji & Balaji Narasimhan, 2023. "Evaluation of Remote Sensing Rainfall Products, Bias Correction and Temporal Disaggregation Approaches, for Improved Accuracy in Hydrologic Simulations," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 3069-3092, June.
    4. Muhammad Adnan Shahid & Piero Boccardo & Muhammad Usman & Adriana Albanese & Muhammad Uzair Qamar, 2017. "Predicting Peak Flows in Real Time through Event Based Hydrologic Modeling for a Trans-Boundary River Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 793-810, February.
    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. Marye Belete & Jinsong Deng & Mengmeng Zhou & Ke Wang & Shixue You & Yang Hong & Melanie Weston, 2018. "A New Approach to Modeling Water Balance in Nile River Basin, Africa," Sustainability, MDPI, vol. 10(3), pages 1-14, March.
    2. Ning Nie & Wanchang Zhang & Zhijie Zhang & Huadong Guo & Natarajan Ishwaran, 2016. "Reconstructed Terrestrial Water Storage Change (ΔTWS) from 1948 to 2012 over the Amazon Basin with the Latest GRACE and GLDAS Products," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 279-294, January.
    3. Xiufen Gu & Lailei Gu & Dayong Wang & Sajad Jamshidi, 2023. "Resolving Trans-Boundary Water Conflicts: Third-Party Mediation Using an Inverse Approach of GMCR Under Incomplete Preference Environments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(15), pages 6071-6088, December.
    4. Shi, Yingyuan & Xu, Gaohong & Wang, Yonggui & Engel, Bernard A. & Peng, Hong & Zhang, Wanshun & Cheng, Meiling & Dai, Minglong, 2017. "Modelling hydrology and water quality processes in the Pengxi River basin of the Three Gorges Reservoir using the soil and water assessment tool," Agricultural Water Management, Elsevier, vol. 182(C), pages 24-38.
    5. Qinge Peng & Xingnian Liu & Er Huang & Kejun Yang, 2019. "Experimental study on the influence of vegetation on the slope flow concentration time," 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 751-763, September.
    6. Helge Bormann & Oliver Caspari, 2015. "On the Value of Hydrological Models Developed in the Context of Undergraduate Education for Discharge Prediction and Reservoir Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3569-3584, August.
    7. Peng Li & Zhen He & Jianwu Cai & Jing Zhang & Marye Belete & Jinsong Deng & Shizong Wang, 2022. "Identify the Impacts of the Grand Ethiopian Renaissance Dam on Watershed Sediment and Water Yields Dynamics," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    8. Syeda Nadia Kiran & Muhammad Farooq Iqbal & Irfan Mahmood, 2023. "Assessing the impacts of climate change on flooding under Coupled Model Intercomparison Project Phase 6 scenarios in the river Chenab, 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. 117(1), pages 1005-1033, May.
    9. B. François & B. Hingray & J. Creutin & F. Hendrickx, 2015. "Estimating Water System Performance Under Climate Change: Influence of the Management Strategy Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4903-4918, October.
    10. Ning Nie & Wanchang Zhang & Zhijie Zhang & Huadong Guo & Natarajan Ishwaran, 2016. "Reconstructed Terrestrial Water Storage Change (ΔTWS) from 1948 to 2012 over the Amazon Basin with the Latest GRACE and GLDAS Products," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 279-294, January.
    11. Rick Hogeboom & Pieter Oel & Maarten Krol & Martijn Booij, 2015. "Modelling the Influence of Groundwater Abstractions on the Water Level of Lake Naivasha, Kenya Under Data-Scarce Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(12), pages 4447-4463, September.
    12. Smail, Robert & Nocco, Mallika & Colquhoun, Jed & Wang, Yi, 2021. "Remotely-sensed water budgets for agriculture in the upper midwestern United States," Agricultural Water Management, Elsevier, vol. 258(C).
    13. Mariusz Starzec & Sabina Kordana-Obuch & Daniel Słyś, 2023. "Assessment of the Feasibility of Implementing a Flash Flood Early Warning System in a Small Catchment Area," Sustainability, MDPI, vol. 15(10), pages 1-43, May.
    14. Ferhat Gökbulak & Kamil Şengönül & Yusuf Serengil & İbrahim Yurtseven & Süleyman Özhan & Hikmet Cigizoglu & Betül Uygur, 2015. "Comparison of Rainfall-Runoff Relationship Modeling using Different Methods in a Forested Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(12), pages 4229-4239, September.
    15. Peter Kreins & Martin Henseler & Jano Anter & Frank Herrmann & Frank Wendland, 2015. "Quantification of Climate Change Impact on Regional Agricultural Irrigation and Groundwater Demand," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3585-3600, August.
    16. Chaowei Xu & Jiashuai Yang & Lingyue Wang, 2022. "Application of Remote-Sensing-Based Hydraulic Model and Hydrological Model in Flood Simulation," Sustainability, MDPI, vol. 14(14), pages 1-14, July.

    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:nathaz:v:120:y:2024:i:5:d:10.1007_s11069-023-06373-4. 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.