IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v112y2022i2d10.1007_s11069-022-05246-6.html
   My bibliography  Save this article

Identification of wet-prone regions over Northwest Himalaya using high-resolution satellite seasonal estimates

Author

Listed:
  • Pravat Jena

    (University of Petroleum and Energy Studies)

  • Sarita Azad

    (Indian Institute of Technology Mandi)

Abstract

The present study aims to evaluate four satellite estimates, namely CMORPH v0.x, PERSIANN-CDR, TMPA-V7 and TMPA-V7-RT, over four seasons (during 2003–2017) against ground observations (0.25° × 0.25° lat./long). For this purpose, precipitation statistics such as MEAN (mean overall days), AWET (mean over wet days), NDRY (no. of dry days), NWET (no. of wet days (rain rates ≥ 1 mm)) and rainfall extremes ranging from 90 to 99.99th percentile, and contingency statistics such as the improved probability of detection (IPOD) are employed. The results reveal that TMPA-V7-RT captures NWET and AWET both in June–July–August (JJA) and September–October–November (SON), whereas TMPA-V7 and PERSIANN-CDR adequately represent them in December–January–February (DJF) and March–April–May (MAM). The satellite CMORPH v0.x performs poorly in representing precipitation statistics over all seasons. Based on the contingency statistics of IPOD, TMPA-V7 detects rainfall associated with the 99th percentile with the highest probabilities of 37.7%, 13.4%, 53.8% and 41.7%, in DJF, MAM, JJA and SON, respectively, followed by TMPA-V7-RT and PERSIANN-CDR. A conceptual model is proposed for delineating vulnerable regions that identify catastrophic events such as heavy, extreme rainfall and cloudburst events. Given the need for real-time monitoring of wet-prone areas across the NWH, the presented work is very much need of the hour. Also, it may be useful for landslide modeling, policymakers and various hydrological applications. The analysis concludes that the TMPA-V7-RT can detect rainfall extremes with a high probability followed by TMPA-V7. Based on the agreement of satellite estimates, some parts of Uttarakhand (UK) and Jammu and Kashmir (J&K) are identified to be the most wet-prone locations over the NWH.

Suggested Citation

  • Pravat Jena & Sarita Azad, 2022. "Identification of wet-prone regions over Northwest Himalaya using high-resolution satellite seasonal estimates," 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. 112(2), pages 1727-1748, June.
    • Handle: RePEc:spr:nathaz:v:112:y:2022:i:2:d:10.1007_s11069-022-05246-6
    DOI: 10.1007/s11069-022-05246-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-022-05246-6
    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/s11069-022-05246-6?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. Ashoke Basistha & D. Arya & N. Goel, 2008. "Spatial Distribution of Rainfall in Indian Himalayas – A Case Study of Uttarakhand Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(10), pages 1325-1346, October.
    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. Jet-chau Wen & Yen-jen Lee & Shin-jen Cheng & Ju-huang Lee, 2014. "Changes of rural to urban areas in hydrograph characteristics on watershed divisions," 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. 74(2), pages 887-909, November.
    2. Zhang, Lei & Traore, Seydou & Cui, Yuanlai & Luo, Yufeng & Zhu, Ge & Liu, Bo & Fipps, Guy & Karthikeyan, R. & Singh, Vijay, 2019. "Assessment of spatiotemporal variability of reference evapotranspiration and controlling climate factors over decades in China using geospatial techniques," Agricultural Water Management, Elsevier, vol. 213(C), pages 499-511.
    3. H. Assaf & M. Saadeh, 2009. "Geostatistical Assessment of Groundwater Nitrate Contamination with Reflection on DRASTIC Vulnerability Assessment: The Case of the Upper Litani Basin, Lebanon," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(4), pages 775-796, March.
    4. Alina Barbulescu, 2016. "A New Method for Estimation the Regional Precipitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 33-42, January.
    5. Nazzareno Diodato & Gianni Tartari & Gianni Bellocchi, 2010. "Geospatial Rainfall Modelling at Eastern Nepalese Highland from Ground Environmental Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(11), pages 2703-2720, September.
    6. Alina Barbulescu, 2016. "A New Method for Estimation the Regional Precipitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 33-42, January.
    7. Jian Tang & Xin-An Yin & Pan Yang & ZhiFeng Yang, 2014. "Assessment of Contributions of Climatic Variation and Human Activities to Streamflow Changes in the Lancang River, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2953-2966, August.
    8. Watinee Thavorntam & Netnapid Tantemsapya & Leisa Armstrong, 2015. "A combination of meteorological and satellite-based drought indices in a better drought assessment and forecasting in Northeast Thailand," 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. 77(3), pages 1453-1474, July.
    9. M. Samanta & P. Punetha & S. Sarkar & A. Dwivedi & M. Sharma, 2019. "Slope stability assessment and design of remedial measures for Tungnath Temple at Uttarakhand, India: a case study," 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. 96(1), pages 225-246, March.
    10. Rajesh Kumar & Shaktiman Singh & Ramesh Kumar & Atar Singh & Anshuman Bhardwaj & Lydia Sam & Surjeet Singh Randhawa & Akhilesh Gupta, 2016. "Development of a Glacio-hydrological Model for Discharge and Mass Balance Reconstruction," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3475-3492, August.
    11. Shishant Gupta & Chandra Shekhar Prasad Ojha & Vijay P. Singh & Adebayo J. Adeloye & Sanjay K. Jain, 2023. "Pixel-Based Soil Loss Estimation and Prioritization of North-Western Himalayan Catchment Based on Revised Universal Soil Loss Equation (RUSLE)," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
    12. H. Coskun & Ugur Alganci & Ebru Eris & Necati Agıralioglu & H. Cigizoglu & Levent Yilmaz & Z. Toprak, 2010. "Remote Sensing and GIS Innovation with Hydrologic Modelling for Hydroelectric Power Plant (HPP) in Poorly Gauged Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 3757-3772, November.
    13. Mohammad Kamali & Rouzbeh Nazari & Alireza Faridhosseini & Hossein Ansari & Saeid Eslamian, 2015. "The Determination of Reference Evapotranspiration for Spatial Distribution Mapping Using Geostatistics," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(11), pages 3929-3940, September.
    14. Madhuri Kumari & Chander Kumar Singh & Ashoke Basistha, 2017. "Clustering Data and Incorporating Topographical Variables for Improving Spatial Interpolation of Rainfall in Mountainous Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 425-442, January.
    15. Myoung-Jin Um & Hyeseon Yun & Woncheol Cho & Jun-Haeng Heo, 2010. "Analysis of Orographic Precipitation on Jeju-Island Using Regional Frequency Analysis and Regression," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(7), pages 1461-1487, May.
    16. Yanhu He & Kairong Lin & Xiaohong Chen & Changqing Ye & Lei Cheng, 2015. "Classification-Based Spatiotemporal Variations of Pan Evaporation Across the Guangdong Province, South China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(3), pages 901-912, February.
    17. Bardia Bayat & Mohsen Nasseri & Banafsheh Zahraie, 2015. "Identification of long-term annual pattern of meteorological drought based on spatiotemporal methods: evaluation of different geostatistical approaches," 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. 76(1), pages 515-541, March.
    18. A. Yilmaz & B. Perera, 2015. "Spatiotemporal Trend Analysis of Extreme Rainfall Events in Victoria, Australia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(12), pages 4465-4480, September.
    19. Gokhan Yildirim & Ataur Rahman, 2022. "Homogeneity and trend analysis of rainfall and droughts over Southeast Australia," 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. 112(2), pages 1657-1683, June.
    20. Nurul Nadiah Mohd FirdausHum & Suhaimi Abdul –Talib, 2016. "Spatial interpolation of monthly precipitation in selangor, Malaysia-Comparison and evaluation of methods," Journal of Applied and Physical Sciences, Prof. Vakhrushev Alexander, vol. 2(1), pages 1-9.

    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:112:y:2022:i:2:d:10.1007_s11069-022-05246-6. 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.