Abstract
This study diagnoses the Satna flood event in the Tons River basin. The occurrence of this intense flood is attributed to the rainfall associated with the movement of the monsoon depression during the peak monsoon season. The study uses Weather Research Forecast (WRF) model to examine the origin, movement, and dissipation of the monsoon depression over India. The study also incorporates remote sensing techniques and field campaigns to better understand the impact on the areas. The model captures the origin of the monsoon depression and the highest precipitating days fairly well. However, it underestimates the rainfall magnitude with respect to different observations due to the limited ability of the model to capture the rainfall maxima spatially. Moreover, the conditional instability of the second kind (CISK) mechanism seems to drive the monsoon depression. A positive feedback mechanism is observed along the track of the depression between rainfall and convective activity leading to excess rainfall over the Tons basin. The remote-sensing-based analysis using Landsat 8 products shows that around 1309 km2 area of the Tons basin was inundated during the event. Based on the computed Flood Hazard Index values, the entire basin has been divided into the low, medium, high, and very high flood hazard zones with several affected hamlets 19, 178, 155, and 91, respectively. The flood hazard values are important for the planners to adopt appropriate adaptation and mitigation to minimize the impact of future flooding in the basin.
Similar content being viewed by others
Data availability
The data/code used in the present work will be provided upon request.
References
Ajayamohan RS, Merryfield WJ, Kharin VV (2010) Increasing trend of synoptic activity and its relationship with extreme rain events over central India. J Clim 23(4):1004–1013. https://doi.org/10.1175/2009JCLI2918.1
Ashrit R (2010) A report on investigating the Leh cloudburst. NMRF/RR/2010, Accessed 2 March 2019. http://www.ncmrwf.gov.in/ncmrwf/Cloudburst Investigation Report.pdf
Berz G, Kron W, Loster T, Rauch E, Schimetschek J, Schmieder J et al (2001) World map of natural hazards–a global view of the distribution and intensity of significant exposures. Nat Hazards 23(2–3):443–465. https://doi.org/10.1023/A:1011193724026
Bhatt CM, Rao GS, Farooq M, Manjusree P, Shukla A, Sharma SVSP, Kulkarni SS, Begum A, Bhanumurthy V, Diwakar PG, Dadhwal VK (2016) Satellite based assessment of the catastrophic Jhelum floods of September 2014, Jammu & Kashmir, India. Geomat Nat Haz Riskhttps://doi.org/10.1080/19475705.2016.1218943
Boos WR, Hurley JV, Murthy VS (2015) Adiabatic westward drift of Indian monsoon depressions. Q J R Meteorol Soc 141(689):1035–1048
Census of India (2011a) Administrative Atlas of Uttar Pradesh, Vol. II, http://www.censusindia.gov.in/2011census/maps/atlas/Uttar%20pradesh2.html. Accessed 01 March 2019
Census of India (2011b) Administrative Atlas of Madhya Pradesh, Vol. I & II, http://www.censusindia.gov.in/2011census/maps/atlas/Madhya%20Pradesh.html. Accessed 01 March 2019
Chen TC, Yoon JH, Wang SY (2005) Westward propagation of the Indian monsoon depression. Tellus A 57(5):758–769. https://doi.org/10.1111/j.1600-0870.2005.00140.x
Chevuturi A, Dimri AP (2016) Investigation of Uttarakhand (India) disaster-2013 using weather research and forecasting model. Nat Hazards 82(3):1703–1726. https://doi.org/10.1007/s11069-016-2264-6
Chevuturi A, Dimri AP, Das S, Kumar A, Niyogi D (2015) Numerical simulation of an intense precipitation event over Rudraprayag in the central Himalayas during 13–14 September 2012. J Earth Syst Sci 124(7):1545–1561. https://doi.org/10.1007/s12040-015-0622-5
CWC (2012) State wise flood damage statistics (1950–2011). http://www.cwc.gov.in/main/downloads/FFM.2200-2291.27112012.pdf. Accessed 23 February 2017
Dhar ON, Nandargi S (1998) Floods in Indian rivers and their meteorological aspects. Mem Geo Soc Ind, 1-26https://doi.org/10.1023/A:1021199714487
Godbole RV (1977) The composite structure of the monsoon depression. Tellus 29(1):25–40. https://doi.org/10.1111/j.2153-3490.1977.tb00706.x
Dimri AP, Chevuturi A, Niyogi D, Thayyen RJ et al (2017) Cloudbursts in Indian Himalayas: a review. Earth-Sci Rev 168:1–23. https://doi.org/10.1016/j.earscirev.2017.03.006
Dube A, Ashrit R, Ashish A, Sharma K, Iyengar GR, Rajagopal EN, Basu S (2014) Forecasting the heavy rainfall during Himalayan flooding—June 2013. Weather and Clim Extremes 1(4):22–34. https://doi.org/10.1016/j.wace.2014.03.004
Francis PA, Gadgil S (2006) Intense rainfall events over the west coast of India. Meteorol Atmos Phys 94:27–42. https://doi.org/10.1007/s00703-005-0167-2
Grell GA, Dévényi D (2002) A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys Res Lett 29(14):38–41. https://doi.org/10.1029/2002GL015311
Harris Geospatial Solutions (2017) FLAASH advanced options. https://www.harrisgeospatial.com/docs/flaashadvancedoptions.html#Select2. Accessed 23 Sep 2017
Hersbach H, Bell B, Berrisford P, Hirahara S, Horanyi A, Mu~noz-Sabater J, Nicolas J, Peubey C, Radu R, Schepers D et al (2020) The ERA5 global analysis. Qjr Meteorol Soc 146(730):1999–2049. https://doi.org/10.1002/qj.3803
Hong SY, Lim JOJ (2006) The WRF single-moment 6-class microphysics scheme (WSM6). J Korean Meteor Soc 42(2):129–151
Hong SY, Noh Y, Dudhia J (2006) A new vertical diffusion package with an explicit treatment of entrainment processes. Mon Weather Rev 134(9):2318–2341. https://doi.org/10.1175/MWR3199.1
Huffman GJ, Bolvin DT, Nelkin EJ, Wolff DB et al (2007) The TRMM multisatellite precipitation analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J Hydrometeorol 8(1):38–55. https://doi.org/10.1175/JHM560.1
Hunt KM, Fletcher JK (2019) The relationship between Indian monsoon rainfall and low-pressure systems Clim. Dyn 53(3–4):1859–1871. https://doi.org/10.1007/s00382-019-04744-x
Hunt KM, Turner AG, Inness PM, Parker DE, Levine RC (2016) On the structure and dynamics of Indian monsoon depressions. Mon Weather Rev 144(9):3391–3416. https://doi.org/10.1175/MWR-D-15-0138.1
Hunt KM, Menon A (2020) The 2018 Kerala floods: a climate change perspective. Clim Dyn 54(3):2433–2446. https://doi.org/10.1007/s00382-020-05123-7
IMD (2016a) Weekly weather report. http://www.imd.gov.in/pages/weeklyweatherreport.php. Accessed 23 September 2016a
IMD (2016b) Track of storm and depression. http://www.imdpune.gov.in/Seasons/Pre_Monsoon/premonsoon.html. Accessed 23 September 2016b
Jadhav SK, Munot AA (2009) Warming SST of Bay of Bengal and decrease in formation of cyclonic disturbances over the Indian region during southwest monsoon season. Theor Appl Climatol 96(3–4):327–336. https://doi.org/10.1007/s00704-008-0043-3
Jiménez PA, Dudhia J, González-Rouco JF, Navarro J, Montávez JP, García-Bustamante E (2012) A revised scheme for the WRF surface layer formulation. Mon Weather Rev 140(3):898–918. https://doi.org/10.1175/MWR-D-11-00056.1
Jones RG, Murphy JM, Noguer M (1995) Simulation of climate change over Europe using a nested regional-climate model. I: assessment of control climate, including sensitivity to location of lateral boundaries. Q J Royal Meteorol Soc 121(526):1413–1449. https://doi.org/10.1002/qj.49712152610
Krishnamurthy V, Ajayamohan RS (2010) Composite structure of monsoon low pressure systems and its relation to Indian rainfall. J Clim 23(16):4285–4305. https://doi.org/10.1175/2010JCLI2953.1
Krivoruchko K (2012) Empirical bayesian kriging. ESRI: Redlands, CA. http://www.esri.com/news/arcuser/1012/empirical-byesian-kriging.Html. Accessed 18 October 2016
Kumar R (2019) Flood inundation and hazard mapping of 2017 floods in the Rapti River basin using Sentinel aperture radar images. In: Kumar P, Rani M, Pandey PC, Sajjad H, Chaudhary BS (eds) Applications and challenges of the geospatial technology: potential and future trends. Springer, Switzerland AG, pp 77–98
Kumar R, Acharya P (2016) Flood hazard and risk assessment of 2014 floods in Kashmir Valley: a space-based multisensor approach. Nat Hazards 84(1):437–464. https://doi.org/10.1007/s11069-016-2428-4
Kumar R, Singh R, Gautam H, Pandey MK (2018) Flood hazard assessment of August 20, 2016 floods in Satna District, Madhya Pradesh, India. J RSASE 11:104–118. https://doi.org/10.1016/j.rsase.2018.06.001
Kumar A, Dudhia J, Rotunno R, Niyogi D, Mohanty UC (2008) Analysis of the 26 July 2005 heavy rain event over Mumbai, India using the Weather Research and Forecasting (WRF) model. Q J Royal Meteorol Soc 134(636):1897–1910. https://doi.org/10.1002/qj.325
Kumar A, Houze RA Jr, Rasmussen KL, Peters-Lidard C (2014) Simulation of a flash flooding storm at the steep edge of the Himalayas. J Hydrometeorol 15(1):212–228. https://doi.org/10.1175/JHM-D-12-0155.1
Maharana P, Dimri AP (2014) Study of seasonal climatology and interannual variability over India and its subregions using a regional climate model (RegCM3). J Earth Syst Sci 123(5):1147–1169. https://doi.org/10.1007/s12040-014-0447-7
Maharana P, Dimri AP (2016) Study of intraseasonal variability of Indian summer monsoon using a regional climate model. Clim Dyn 46(3–4):1043–1064. https://doi.org/10.1007/s00382-015-2631-0
Maharana P, Abdel-Lathif AY, Pattnayak KC (2018) Observed climate variability over Chad using multiple observational and reanalysis datasets. Glob Planet Change 162:252–265. https://doi.org/10.1016/j.gloplacha.2018.01.013
Manjusree P, Bhatt CM, Begum A, Rao GS, Bhanumurthy V (2015) A decadal historical satellite data nalysis for flood hazard evaluation: a case study of Bihar (North India). Singap J Trop Geogr 36:308–323. https://doi.org/10.1111/sjtg.12126
Martha TR, Roy P, Govindharaj KB, Kumar KV, Diwakar PG, Dadhwal VK (2015) Landslides triggered by the June 2013 extreme rainfall event in parts of Uttarakhand state, India. Landslides 12(1):135–146. https://doi.org/10.1007/s10346-014-0540-7
Mlawer EJ, Taubman SJ, Brown PD, Iacono MJ, Clough SA (1997) Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. J Geophys Res Atmos 102(D14):16663–16682. https://doi.org/10.1029/97JD00237
Mooley DA (1973) Some aspects of Indian monsoon depression and associated rainfall. Mon Weather Rev 101:271–280. https://doi.org/10.1175/1520-0493(1973)101%3c0271:SAOIMD%3e2.3.CO;2
Murakami T, Nakazawa T, He J (1984) On the 40–50 day oscillations during the 1979 northern hemisphere summer. J Meteorol Soc Jpn Ser II 62(3):440–468. https://doi.org/10.2151/jmsj1965.62.3_440
NationalCenters for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6M043C6. Accessed 18-10-2019
Parthasarathy B, Munot AA, Kothawale DR (1994) All-India monthly and seasonal rainfall series: 1871–1993. Theor Appl Climatol 49(4):217–224. https://doi.org/10.1007/BF00867461
Planning Commission. (2011) Report of working group on flood management and region specific issues for XII plan. Govt of India, New Delhi. http://planningcommission.nic.in/aboutus/committee/wrkgrp12/wr/wg_flood.pdf. Accessed 25 October 2018
Polcher J (1995) Sensitivity of tropical convection to land surface processes. J Atmos Sci 52(17):3143–3161. https://doi.org/10.1175/1520-0469(1995)052%3c3143:SOTCTL%3e2.0.CO;2
Prasad AK, Singh RP (2005) Extreme rainfall event of July 25–27, 2005 over Mumbai, west coast. India J Indian Soc Remote Sens 33(3):365–370
Rajamani S, Sikdar DN (1989) Some dynamical characteristics and thermal structure of monsoon depressions over the Bay of Bengal. Tellus A 41(3):255–269. https://doi.org/10.3402/tellusa.v41i3.11838
Rajeevan M, Pai DS, Das MR (2001) Asymmetric thermodynamic structure of monsoon depression revealed in microwave satellite data. Curr Sci 81(5):448–450
Roxy MK, Ghosh S, Pathak A, Athulya R, Mujumdar M, Murtugudde R, Terray P, Rajeevan M (2017) A threefold rise in widespread extreme rain events over central India. Nat Commun 8(1):1–11. https://doi.org/10.1038/s41467-017-00744-9
Ray K, Pandey P, Pandey P, Dimri AP, Kishore K (2019) On the Recent Floods in India. Curr Sci 117(2):204. https://doi.org/10.18520/cs/v117/i2/204-218
Saha K, Sanders F, Shukla J (1981) Westward propagating predecessors of monsoon depressions. Mon Weather Rev 109(2):330–343. https://doi.org/10.1175/1520-0493(1981)109%3c0330:WPPOMD%3e2.0.CO;2
Sanyal J, Lu XX (2004) Application of remote sensing in flood management with special reference to monsoon Asia: a review. Nat Hazards 33(2):283–301. https://doi.org/10.1023/B:NHAZ.0000037035.65105.95
Sears PB (1957) Natural and cultural aspects of floods. Science 125(3252):806–807. https://doi.org/10.1126/science.125.3252.806
Seth A, Giorgi F (1998) The effects of domain choice on summer precipitation simulation and sensitivity in a regional climate model. J Climate 11(10):2698–2712. https://doi.org/10.1175/1520-0442(1998)011%3c2698:TEODCO%3e2.0.CO;2
Singh O, Kumar M (2013) Flood events, fatalities and damages in India from 1978 to 2006. Nat Hazards 69(3):1815–1834. https://doi.org/10.1007/s11069-013-0781-0
Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Wang W, Powers JG (2005) A description of the advanced research WRF version 2 (No. NCAR/TN-468+ STR). National CenterFor Atmospheric Research Boulder Co Mesoscale and Microscale Meteorology Div. https://doi.org/10.5065/D6DZ069T
Sikka DR (2006). A study on the monsoon low pressure systems over the Indian region and their relationship with drought and excess monsoon seasonal rainfall. Center for Ocean‐Land‐Atmosphere Studies, Tech. Rep. 217, 145
Silverman NL, Maneta MP, Chen SH, Harper JT (2013) Dynamically downscaled winter precipitation over complex terrain of the Central Rockies of Western Montana, USA. Water Resour Res 49(1):458–470. https://doi.org/10.1029/2012WR012874
Sørland SL, Sorteberg A (2015) The dynamic and thermodynamic structure of monsoon low-pressure systems during extreme rainfall events. Tellus A 67(1):27039
SravanaKumar M, Shekhar MS, Rama Krishna SSVS, Bhutiyani MR, Ganju A (2012) Numerical simulation of cloud burst event on August 05, 2010, over Leh using WRF mesoscale model. Nat Haz 62(3):1261–1271. https://doi.org/10.1007/s11069-012-0145-1
Steiner AL, Pal JS, Rauscher SA et al (2009) Land surface coupling in regional climate simulations of the West African monsoon. Clim Dyn 33(6):869–892. https://doi.org/10.1007/s00382-009-0543-6
Thomas TM, Bala G, Srinivas VV (2021) Characteristics of the monsoon low pressure systems in the Indian subcontinent and the associated extreme precipitation events. Clim Dyn 56(5–6):1859–1878. https://doi.org/10.1007/s00382-020-05562-2
USGS (2020) Digital elevation: SRTM (1 arc-second global). https://earthexplorer.usgs.gov/. Accessed on June 15, 2020
Verma RK, Ram M, Ram LC (2001) A case study of heavy flood in river Ken during September 1992. Mausam 52(3):597–601
Vishnu S, Francis PA, Shenoi SS, Ramakrishna SS (2016) On the decreasing trend of the number of monsoon depressions in the Bay of Bengal. Environ Res Lett 11(1):014011
Wang CC, Chien FC, Paul S, Lee DI, Chuang PY (2017) An evaluation of WRF rainfall forecasts in Taiwan during three mei-yu seasons from 2008 to 2010. Weather Forecast 32(4):1329–1351. https://doi.org/10.1175/WAF-D-16-0190.1
Wang W, Barker D, Bray J et al (2007) User’s guide for advanced research WRF (ARW) modeling system version 3. Mesoscale and Microscale Meteorology Division–National Center for Atmospheric Research (MMM-NCAR)
Xu H (2006) Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int J Remote Sens 27(14):3025–3033. https://doi.org/10.1080/01431160600589179
Yoon JH, Chen TC (2005) Water vapor budget of the Indian monsoon depression. Tellus A 57(5):770–782. https://doi.org/10.1111/j.1600-0870.2005.00145.x
Yáñez-Morroni G, Gironás J, Caneo M, Delgado R, Garreaud R (2018) Using the weather research and forecasting (WRF) model for precipitation forecasting in an Andean region with complex topography. Atmosphere 9(8):304
Acknowledgements
The authors thank the anonymous reviewers for their useful suggestions which shaped the manuscript to the present form. PM and DK thank CSRL and JNU for providing the facility to simulate the Satna flood event. The authors acknowledge TRMM, IMD, and USGS Earth Explorer web portals for providing the data for the analysis. The NCEP FNL analysis was obtained from NCEP. PM acknowledges the Council of Scientific and Industrial Research (CSIR), India, for providing a timely stipend to the Research Associate (CSIR sanction letter no. — 09/263(1184)/2019/EMR-I). DK thanks UGC for financial assistance in the form of a Senior Research Fellowship.
Author information
Authors and Affiliations
Contributions
PM, DK, and RK conceptualized the research problem. RK and RS have done the field study and analyzed the data using remote sensing techniques. PM and DK made the necessary simulation and their analysis. All the authors contributed in writing.
Corresponding author
Ethics declarations
Ethics approval
Not applicable.
Consent to participate
The consent was obtained from each author for participating in the work.
Consent for publication
Not applicable.
Competing interests
The authors declare competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Maharana, P., Kumar, D., Kumar, R. et al. Diagnostic of the massive flood event and flood hazard mapping in Tons River basin. Theor Appl Climatol 148, 1459–1476 (2022). https://doi.org/10.1007/s00704-022-04008-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00704-022-04008-5