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Durga Rao, K. H. V.
- Transforming to Hydrological Modelling Approach for Long-Term Water Resources Assessment under Climate Change Scenario - a Case Study of the Godavari Basin, India
Abstract Views :231 |
PDF Views:93
Authors
Affiliations
1 National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad 500 037, IN
1 National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad 500 037, IN
Source
Current Science, Vol 106, No 2 (2014), Pagination: 293-299Abstract
This communication discusses quantifying basin-scale water wealth by transformation from the presently adapted basin terminal gauge site run-off aggregation to distributed hydrological modelling approach. In this study, an attempt was made to propose modifications to simple monthly water balance model using time-series land-use grids derived from the temporal remote sensing satellite data to compute run-off at basin scale. This approach will help in studying runoff and water resources availability with limited meteorological parameters. The study was aimed at computing mean annual water resources in the Godavari Basin, India during the last 18 years (1990-91 to 2007-08) using the proposed approach and to compute availability of water resources during extreme wet and dry rainfall conditions in the basin. The land-use grids were integrated with soil textural, digital elevation and command area grids to compute hydrological response unit grids. Groundwater, reservoir flux, domestic and livestock water consumption and industrial water consumptive use were computed using the spatial data and integrated in the model environment to compute run-off. The model was calibrated and validated using observed discharge data at various prominent gauge stations in the basin. Long-term water resources availability in the basin was computed using the developed methodology.Keywords
Climate Change, Hydrological Modelling, Remote Sensing, Water Resources Availability.Full Text
- Kedarnath Flash Floods: a Hydrological and Hydraulic Simulation Study
Abstract Views :195 |
PDF Views:91
Authors
Affiliations
1 National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad 500 037, IN
1 National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad 500 037, IN
Source
Current Science, Vol 106, No 4 (2014), Pagination: 598-603Abstract
The recent floods in the Kedarnath area, Uttarakhand are a classic example of flash floods in the Mandakini River that devastated the country by killing thousands of people besides livestock. Though the duration of the event was small compared to other flood disasters in the country, it resulted in severe damage to property and life. Post-disaster satellite images depict that the river banks were eroded completely along the Kedarnath valley due to the flash floods and few new channels were visible. Extreme erosion took place in the upstream portion of Kedarnath, besides the breach of Chorabari Lake and deposition of debris/sediments in the valley. Hydrological and hydraulic simulation study was carried out in the Mandakini River using space-based inputs to quantify the causes of the flash floods and their impact. Chorabari Lake breach analysis was carried out using Froehlich theory. Flood inundation simulations were done using CARTO DEM of 10 m posting in which the combined effect of lake breach and high-intensity rainfall flood was examined. As the slopes are very steep in the upstream catchment area, lag-time of the peak flood was found to be less and washed-off the Kedarnath valley without any alert. The study reveals quantitative parameters of the disaster which was due to an integrated effect of high rainfall intensity, sudden breach of Chorabari Lake and very steep topography.Keywords
Flash Floods, Flood Inundation Simulation, Hydrological Modelling, Lake Breach.Full Text
- Flash Flood Disaster Threat to Indian Rail Bridges:A Spatial Simulation Study of Machak River Flood, Madhya Pradesh
Abstract Views :176 |
PDF Views:98
Authors
Affiliations
1 National Remote Sensing Centre, Indian Space Research Organisation, 500 037, IN
1 National Remote Sensing Centre, Indian Space Research Organisation, 500 037, IN
Source
Current Science, Vol 112, No 05 (2017), Pagination: 1028-1033Abstract
The recent flood in Machak River, Madhya Pradesh, India is a distinctive paradigm of flash floods that washed off rail tracks and killed a number of passengers besides incredible damage to Indian Railways and to the surrounding villages. This shows the vulnerability of bridges/culverts to flash floods in the country. Flash floods devastated the Machak River during the midnight of 4 August 2015 due to heavy rainfall in the catchment. The duration of flooding was small with less lead-time. Narrow river sections could not accommodate the peak discharge causing severe flooding in floodplains. Hydrological and hydro dynamic simulation was studied in the Machak River using space-based inputs to quantify the causes of flash floods and its impact. Satellite-based rainfall (GPM and IMD's WRF merged product) was used in hydrological modelling in the absence of field rainfall and discharge data. Flood inundation simulations were done using CARTO digital elevation model of 10 m resolution. Inundation extent, depth of inundation, and velocity of flow at different reaches were examined. As the slopes were steep in the upstream catchment area, the lag-time of the peak flood was found to be less and washed off the Machak rail culvert without any alert. The study reveals that quantitative parameters of the disaster are due to high intensity of rainfall, drainage congestion and sudden change of slopes across the catchment.Keywords
Hydrological Simulation, Hydrodynamic Modeling, Machak River, Rail Accident.Full Text
- An Integrated Approach in Developing Flood Vulnerability Index of India using Spatial Multi-Criteria Evaluation Technique
Abstract Views :267 |
PDF Views:73
Authors
Affiliations
1 Disaster Management Support Division, National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad 500 037, IN
1 Disaster Management Support Division, National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad 500 037, IN
Source
Current Science, Vol 117, No 1 (2019), Pagination: 80-86Abstract
In recent years, flash floods took place in various parts of the country that are not under floodplains due to high rainfall events, causing damage to rail, road and urban infrastructure. There is a need to develop a flood vulnerable index map of the country for precautionary measures in such vulnerable areas. Developing flood vulnerability index (FVI) at country level in India is a multifaceted job due to huge variations in topographic, meteorological and hydrological conditions over space and time. The paper focuses on developing a scientific approach in preparing FVI map of the country in a spatial decision support system environment by using space-based inputs, topographic data and long-term meteorological data. Probable maximum precipitation (PMP) and high rainfall frequency were computed using 100 years daily rainfall data of the country. Runoff potential of the country was prepared using high resolution landuse, soils, and digital elevation model grids. Probable maximum run-off was further computed at national level using PMP and run-off potential grids. Morphometric analysis was done using topographic and drainage information. All these layers were normalized and integrated in SDSS environment to compute the flood vulnerability index of the country. Suitable weights were given for all layers using the knowledge base reviewed across the globe. Sensitivity analysis and validation were done using the previous flood incidents.Keywords
Flood Vulnerability Index, Morphometric Analysis, Probable Maximum Precipitation, Probable Maximum Run-Off, Run-off Potential, Spatial Decision Support System.Full Text
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- Durga Rao, K. H. V., Multicriteria spatial analysis for forecasting urban water requirements – a case study of Dehradun City, India. Int. J. Landscape Urban Planning, 2005, 71(2–4), 163–174.
- Durga Rao, K. H. V. and Bhaumik, M. K., Spatial expert support system in locating suitable sites for water harvesting structures – a case study of song watershed in Dehradun. Int. J. Geocarto., 2003, 18(4), 43–51.
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- Near Real-time Delineation, Mapping And Monitoring of Floods in West Bengal, India Due to Extremely Severe Cyclone ‘Amphan’ Using Multi-Mission Satellite Data
Abstract Views :257 |
PDF Views:81
Authors
Affiliations
1 Disaster Management Support Group, Remote Sensing Applications Area, National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad 500 037, IN
1 Disaster Management Support Group, Remote Sensing Applications Area, National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad 500 037, IN
Source
Current Science, Vol 119, No 12 (2020), Pagination: 1939-1947Abstract
The extremely severe cyclone ‘Amphan’ made landfall on 20 May 2020 in the state of West Bengal, India causing widespread damages. The present study describes the potential use of multi-mission satellite datasets in delineating the cyclone disaster footprints and assessing the impact in near real-time. Flooding due to the cyclone was monitored and mapped continuously from 21 to 27 May 2020 using synthetic aperture radar (SAR) data of multiple satellites. It was observed that about 2.09 lakh hectares in ten districts of the state was affected by cyclone-induced inundation. East Medinipur district was the worst affected with 83,402 ha inundated during the cyclone. The inundation maps were disseminated to the disaster management authorities in near real-time for effective disaster management to aid in relief and rescue operations.Keywords
Cyclone, Near Real-time Monitoring, Multimission Satellite Data, Flood Impact Assessment.Full Text