Refine your search
Collections
Co-Authors
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Bhatt, C. M.
- Satellite Images for Extraction of Flood Disaster Footprints and Assessing the Disaster Impact:Brahmaputra Floods of June-July 2012, Assam, India
Abstract Views :196 |
PDF Views:81
Authors
C. M. Bhatt
1,
G. Srinivasa Rao
1,
Asiya Begum
1,
P. Manjusree
1,
S. V. S. P. Sharma
1,
L. Prasanna
1,
V. Bhanumurthy
1
Affiliations
1 RS Applications Area, Disaster Management Support Division, National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad 500 037, IN
1 RS Applications Area, Disaster Management Support Division, National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad 500 037, IN
Source
Current Science, Vol 104, No 12 (2013), Pagination: 1692-1700Abstract
Satellite images provide information on the flood disaster footprints, which is essential for assessing the disaster impact and taking up flood mitigation activities. The Brahmaputra floods that occurred during June-July 2012 devastated a large part of Assam. This article discusses the maximum spatial extent affected due to the flood event, villages marooned and population affected, with the aid of multi-temporal satellite images coupled with the hydrological observations and freely available gridded population data. The study shows that about 4.65 lakh ha area was submerged, 23 of the 27 districts in Assam had more than 5% of the total geographical area submerged, about 3829 villages marooned and 23.08 lakh people were affected. Identification of the spatial extent of areas most vulnerable to flooding, captured from the satellite images acquired during the peak flood period will be helpful for prioritizing appropriate flood control measures in the flood-affected regions.Keywords
Disaster Footprints, Floods, GIS, Inundation, Population, Remote Sensing.Full Text
- COVID-19 Lockdown a Window of Opportunity to Understand the Role of Human Activity on Forest Fire Incidences in the Western Himalaya, India
Abstract Views :161 |
PDF Views:81
Authors
Affiliations
1 Indian Institute of Remote Sensing, Indian Space Research Organisation, 4, Kalidas Road, Dehradun 248 001, IN
1 Indian Institute of Remote Sensing, Indian Space Research Organisation, 4, Kalidas Road, Dehradun 248 001, IN
Source
Current Science, Vol 119, No 2 (2020), Pagination: 390-398Abstract
The global COVID-19 pandemic has resulted in a complete lockdown of economic activities and movement across the world. This provides an opportunity to evaluate the impact of minimal anthropogenic activities on forest fire occurrences in the Western Himalaya, India. Significant reduction of 83.4% in the cumulative fire incidences during 24 March to 5 May 2020 was observed in this region compared to the average of fire incidences during the corresponding period of 2006–20. Though during the current lockdown period, precipitation was high (~281 mm) compared to the average for the last 15 years (~125 mm), it did not contribute to the build-up of soil moisture. Comparatively higher NDVI (by 30.59%) and EVI (by 12.18%) in the lockdown phase unlike the average of previous years which showed declining trend, indicates that the lockdown provided an opportunity for the canopy to sustain and have higher vigour; this was not visible earlier due to fire incidences. The present study emphasizes that anthropogenic activities play a major role in forest fire incidences in this region.Keywords
Coronavirus-19, Forest Fire, Human Activity, Lockdown, Remote Sensing.Full Text
- Rapid Assessment of The October 2020 Hyderabad Urban Flood and Risk Analysis Using Geospatial Data
Abstract Views :186 |
PDF Views:77
Authors
Affiliations
1 Department of Civil Engineering, Sree Vidyanikethan Engineering College, Tirupati 517 102, IN
2 Disaster Management Division, Indian Institute of Remote Sensing, Dehradun 248 001, IN
3 Department of Civil Engineering, National Institute of Technology, Warangal 506 004, IN
1 Department of Civil Engineering, Sree Vidyanikethan Engineering College, Tirupati 517 102, IN
2 Disaster Management Division, Indian Institute of Remote Sensing, Dehradun 248 001, IN
3 Department of Civil Engineering, National Institute of Technology, Warangal 506 004, IN
Source
Current Science, Vol 120, No 12 (2021), Pagination: 1840-1847Abstract
The present study looks into the Hyderabad urban floods of October 2020 from a geospatial perspective. The spatial extent and severity of the flooding event for a part of the urban catchment (Zone-12) of Hyderabad city are modelled using HEC-RAS 1D–2D considering 13 October 2020 rainfall event. The study compares the present flooding to the previous flooding incidence which impacted Hyderabad, almost a decade back on 24 August 2000. The study shows that rapid unplanned urbanization ignoring the regional and local hydrological landscape has aggravated the flooding severity. The study highlights the fact that rapid, uncontrolled urbanization (16.5% increase) over the last two decades have substantially influenced the urban hydrology producing higher flood volumes for comparatively small rainfall event. Thus regulating urbanization, providing enhanced drain capacity, rejuvenating the water bodies and streams is need of an hour to check and reduce the spatial flooding extent.Keywords
Geospatial Extent, HEC-RAS, Mapping, Modelling, Urban Floods.Full Text
References
- Agilan, V. and Umamahesh, N. V., What are the best covariates for developing non-stationary rainfall intensity – duration – frequency relationship? Adv. Water Resour., 2017, 101, 11–22; https://doi.org/10.1016/j.advwatres.2016.12.016.
- Cavanaugh, N. R., Gershunov, A., Panorska, A. K. and Kozubowski, T. J., The probability distribution of intense daily precipitation. Geophys. Res. Lett., 2015, 42(5), 1560–1567; https://doi.org/10.1002/2015GL063238.
- Xu, H. and Luo, Y., Climate change and its impacts on river discharge in two climate regions in China. Hydrol. Earth Syst. Sci., 2015, 19(11), 4609; https://doi.org/10.5194/hess-19-46092015.
- Emilsson, T. and Sang, A. O., Impacts of climate change on urban areas and nature-based solutions for adaptation. In Nature-based Solutions to Climate Change Adaptation in Urban Areas. Theory and Practice of Urban Sustainability Transitions (eds Kabisch, N. et al.), Springer Nature, Switzerland, 2017; https://doi.org/10.1007/978-3-319-56091-5_2.
- UN, United Nations Expert Group Meeting on population distribution, urbanization, internal migration and development. United Nations Population Division, United Nations Secretariat, New York, 2008; http://sustainabledevelopment.un.org/content/ documents/2529P01_UNPopDiv.pdf
- Mondal, A. and Mujumdar, P. P., Hydrologic extremes under climate change: non-stationarity and uncertainty. In Sustainable Water Resources Planning and Management under Climate Change, Springer, Singapore, 2017, pp. 39–60; https://doi.org/ 10.1007/978-981-10-2051-3_2.
- Bayazit, M., Nonstationarity of hydrological records and recent trends in trend analysis: a state-of-the-art review. Environ. Process., 2015, 2, 527–542; http://dx.doi.org/10.1007/s40710-0150081-7.
- Duan, W. et al., Floods and associated socioeconomic damages in China over the last century. Nat. Hazards, 2016, 82, 401–413; https://doi.org/10.1007/s11069-016-2207-2.
- GoI, Urban flooding standard operating procedure. Ministry of Urban Development, Government of India, 2017; https://amrut.gov.in/writereaddata/SOP_Urbanflooding_5May2017.pdf
- NDMA, GoI, Guidelines on urban flooding in India, National Disaster Management Authority, GoI, New Delhi, 2010; https://ndma.gov.in/Natural-Hazards/Urban-Floods
- CPHEEO, Manual on Storm Water Drainage Systems, Central Public Health and Environmental Engineering Organization, GoI, 2019; http://cpheeo.gov.in/cms/manual-on-storm-water-drainagesystems--2019.php
- Gupta, K., Challenges in developing urban flood resilience in India. Philos. Trans. R. Soc. London, Ser. A, 2020, 378(2168), 20190211; https://doi.org/10.1098/rsta.2019.0211.
- Naik, A. S., Back into the future: the city improvement board of Hyderabad. In Cities’ Identity Through Architecture and Arts: Proceedings of the International Conference on Cities’ Identity through Architecture and Arts (CITAA 2017) (eds Catalani, A. et al.), Routledge, Cairo, Egypt, 11–13 May 2017, 1st edn; https://doi.org/10.1201/9781315166551.
- Cohen, B., Modernising the urban environment: the Musi river flood of 1908 in Hyderabad, India. Environ. Hist., 2011, 17(3), 409–432; https://www.jstor.org/stable/41303522
- Wikipedia, deep depression BOB 02, 2020; https://en. wikipedia.org/wiki/Deep_Depression_BOB_02_(2020) (accessed on October 2020).
- Kharol, S. K., Kaskaoutis, D. G., Sharma, A. R. and Singh, R. P., Long-term (1951–2007) rainfall trends around six Indian cities: current state, meteorological, and urban dynamics. Adv. Meteorol., 2013, 2013, 15, Article ID 572954; http://dx.doi.org/10.1155/ 2013/572954.
- Boyaj, A., Dasari, H. P., Hoteit, I. and Ashok, K., Increasing heavy rainfall events in South India due to changing land use land cover. Q. J. R. Meteorol. Soc., 2020; https://doi.org/10.1002/ qj.3826.
- Ahmed, Z., Rao, D. R. M., Reddy, K. R. M. and Raj, Y. E., Urban flooding – case study of Hyderabad. Global J. Eng. Des. Technol., 2013, 2(4), 63–66.
- The Hindu, Hyderabad registers second highest rainfall the city has ever received in 24 hours, 15 October 2020; https://www.thehindu.com/news/cities/Hyderabad/second-highest-recordedrainfallin-single-day-met-officials/article32865220.ece
- Rangari, V. A., Sridhar, V., Umamahesh, N. V. and Patel, A. K., Floodplain mapping and management of urban catchment using HEC-RAS: a case study of Hyderabad city. J. Inst. Eng. (India): Ser. A, 2018, 100(1), 49–63; https://doi.org/10.1007/s40030-0180345-0.
- Rangari, V. A., Umamahesh, N. V. and Bhatt, C. M., Assessment of inundation risk in urban floods using HEC RAS 2D. Model. Earth Syst. Environ., 2019, 5(4), 1839–1851; https://doi.org/ 10.1007/s40808-019-00641-8.
- USGS Earth-Explorer, Earth-explorer data portal, 2019; http://earthexplorer.usgs.gov/ (accessed on October 2020).
- Chavez, P. S., Image-based atmospheric corrections – revisited and improved. Photogramm. Eng. Remote Sensing, 1996, 62(9), 1025–1035.
- Lillesand, T., Kiefer, R. W. and Chipman, J., Remote Sensing and Image Interpretation, Wiley, Hoboken, NJ, 2015, 7th edn; ISBN: 978-1-118-34328-9.
- Congalton, R. G., A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing Environ., 1991, 37(1), 35–46.
- The Times of India, Hyderabad roads flooded, 14 October 2020; https://timesofindia.indiatimes.com/topic/Hyderabad-roads-flooded
- The New Indian Express, Hyderabad floods: 100 colonies under sheet of water, 15 October 2020; https://www.newindianexpress.com/states/telangana/2020/oct/15/hyderabad-floods-100-coloniesundersheet-of-water-2210468.html
- Dhavale, S., Mujumdar, M. and Koll, R. M., Interactions between tropical cyclones and southwest monsoon over the Arabian Sea during the Monsoon onset phase. Geophys. Res. Abstr., 2019, 21, 5–35.
- Sharma, M., Osuri, K. K., Bhalachandran, S., Vensiv, A., Mohanty, U. C. and Niyogi, D., Withdrawn: urbanization leads to changes in the rainfall timing: attribution experiments using WRF and urban sprawl in Hyderabad, India. In 98th American Meteorological Society Annual Meeting, Austin, TX, 2018.
- Goyal, M. K. and Rao, Y. M., Impact of climate change on water resources in India. J. Environ. Eng., 2018, 144(7), 04018054; https://doi.org/10.1061/(ASCE)EE.1943-7870.0001394
- Macrotrends, Hyderabad, India Metro Area Population 1950– 2020. 2020; https://www.macrotrends.net/cities/21275/hyderabad/ population (accessed on November 2020).
- Urban flooding, India – urban climate change facts. In Urban Flooding, India – Urban Climate Change Factsheets, National Institute of Urban Affairs, New Delhi, India, 2016; https:// smartnet.niua.org/content/dea2681d-4921-4057-9b7a-3ba3d6b6ac26