排序方式： 共有6条查询结果，搜索用时 15 毫秒
1
1.
C. M. Bhatt G. Srinivasa Rao P. Manjushree V. Bhanumurthy 《Journal of the Indian Society of Remote Sensing》2010,38(1):99-108
One of the most important elements in flood disaster management is the availability of timely information for taking decisions
and actions by the authorities. During the August 18, 2008 Kosi floods which impacted India and Nepal and affected more than
three million people, aero-space technology proved to be a critical input for providing vital information on flood inundation.
The satellite based flood inundation maps were extensively used for identifying marooned villages, submerged roads and railway
tracks and carrying out the relief and rescue operations by the state agencies. Decision Support Centre (DSC) at National
Remote Sensing Centre (NRSC) kept a constant watch on the flood situation. More than 200 flood inundation maps, using about
30 satellite datasets were generated and provided in near real time mode to the state agencies during August to October, 2008.
DSC efforts were primarily focused in providing an overall picture of the flood situation in a short span of time to the state
agencies. The present paper discusses about the operational use of remote sensing technology for near real time flood mapping,
monitoring of Kosi floods and the satellite based observations made for the Kosi river breach. 相似文献
2.
K. H. V. Durga Rao V. Bhanumurthy P. S. Roy 《Journal of the Indian Society of Remote Sensing》2009,37(4):587-600
Hydrological modelling of large river catchments is a challenging task for water resources engineers due to its complexity
in collecting and handling of both spatial and non-spatial data such as rainfall, gauge discharges, and topographic parameters.
In this paper an attempt has been made to use satellite-based rainfall products such as Climatic Prediction Centre (CPC)-National
Oceanic and Atmospheric Administration (NOAA) data for hydrological modelling of larger catchment where the limited field
rainfall data is available. Digital Elevation Models (DEM) such as Global DEM (1 km resolution) and Shuttle Radar Topography
Mission (SRTM) 3-arc second (90 m resolution) DEM have been used to extract topographic parameters of the basin for hydrological
modelling of the study area. Various popular distributed models have been used in this study for computing excess rainfall,
direct runoff from each sub-basin, and flow routing to the main outlet. The Brahmaputra basin, which is very complex both
hydraulically and hydrologically due to its shape, size, and geographical location, has been examined as study area in this
study. A landuse map derived from the satellite remote sensing data in conjunction with DEM and soil textural maps have been
used to derive various basin and channel characteristics such as each sub-basin and channel slope, roughness coefficients,
lag-time. Percentage of residual flows computed between observed flows and simulated flows using Global and SRTM DEMs are
discussed. It is found that the topographic parameters computed using SRTM DEM could improve the model accuracy in computing
flood hydrograph. Need of using better resolution satellite data products and the use of high-density field discharge observations
is discussed. 相似文献
3.
A decadal historical satellite data analysis for flood hazard evaluation: A case study of Bihar (North India) 
下载免费PDF全文
下载免费PDF全文 Panchagnula Manjusree Chandra Mohan Bhatt Asiya Begum Goru Srinivasa Rao Veerubhotla Bhanumurthy 《Singapore journal of tropical geography》2015,36(3):308-323
Flood is one of the major recurrent natural disasters faced by the state of Bihar in north India. In the present study the authors assess the severity of flood hazard in Bihar, using 128 decadal historical satellite datasets acquired during different flood magnitudes during 1998 to 2010. The satellite‐based observations have been analysed in conjunction with the hydrological data, for assessing the frequency of inundation, severity of flood hazard and cropped land under flood hazard. This study assesses the spatial distribution of flooding and creation of systematic flood hazard database, which can be analysed from a spatial dimension in GIS. It is observed that about 24.56 lakh ha of the state's area and about 15.85 lakh ha of the cropped area are vulnerable to flood hazard. North Bihar is more vulnerable to flooding; 8 of the 10 areas identified as worst flood‐affected districts lie in this region. 相似文献
4.
N. Subba Rao G. Vidyasagar P. Surya Rao P. Bhanumurthy 《Journal of the Geological Society of India》2014,84(4):494-500
Hydrogeochemical studies have been carried out in a coastal region, using multivariate statistical model, for better understanding the controlling processes that influence the aquifer chemistry. Two principal components (PC1 and PC2) are extracted from the data set of chemical variables (pH, TDS, Ca2+, Mg2+, Na+, K+, HCO 3 ? , Cl?, SO 4 2? , NO 3 ? and F?), which account for 79% of the total variation in the quality of groundwater. The PC1 (salinity controlled process) includes the concentrations of TDS, Mg2+, Na+, K+, Cl?, SO 4 2? and NO 3 ? , while the PC2 (alkalinity controlled process) comprises the concentrations of pH, HCO 3 ? and F?. The spatial distribution of PC scores identifies the locations of high salinity and alkalinity processes. The first process corresponds to the influences of geogenic, anthropogenic and marine sources, and the second one to the influence of water-soil-rock interaction. Thus, the present study shows the usefulness of multivariate statistical model as an effective means of interpretation of spatial controlling processes of groundwater chemistry. 相似文献
5.
Harish Chandra Karnatak Reedhi Shukla Vinod Kumar Sharma Y.V.S. Murthy V. Bhanumurthy 《国际地球制图》2013,28(6):499-514
The Web 2.0 technologies and standards enable web as a platform by allowing the user participation in web application. In the realization of Web 2.0, new knowledge and services are created by combining information and services from different sources which are known as ‘mashups'. The present study focused on spatial mashup solution for disaster management using open source GIS, mobile applications, web services in web 2.0, Geo-RDBMS and XML which are in the central of intelligent geo web services. The geo-web application is developed to generate the actionable GIS products at user end during disaster event by consuming various data and information services from web and central server system and also real time ground observation data collected through a mobile device. The technological solution developed in this study is successfully demonstrated for disaster management in the Assam State of India during the floods in 2010. 相似文献
6.
Geospatial technologies are emerging as one of the most promising environments for development of emergency management framework. Geospatial technologies such as Remote Sensing, Geographic Information Systems and Global Positioning Systems integrated with valuable near/real-time field information can provide a comprehensive platform for emergency management. Satellite imagery, vector database, Location Based Services and ancillary data having the relevant attribute information with access and query tools helps the disaster manager to analyse the required information for relief operations. However, the conceptual design of the database, integration procedures, development of decision support functions and dissemination of information integrating real-time information from the field are very important issues in development framework for emergency management. There are some technological challenges in the emergency response for deriving the required outputs such as damage assessment, evacuation planning, situation monitoring, information dissemination, and coordination of resource and logistic planning. This article provides a framework for the integration of various multi-disciplinary technologies for addressing emergency management. 相似文献
1