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51.
52.
Vinod Krishan 《Solar physics》1991,134(1):109-109
53.
September, 2012 landslide events in Okhimath, India—an assessment of landslide consequences using very high resolution satellite data 总被引:1,自引:1,他引:0
The Okhimath area in the Uttarakhand state of India witnessed a large-scale occurrence of landslides on 14 September 2012 due to intense rainfall. As per news reports, this event resulted in the death of 51 people and a significant loss of property. In this study, the damage assessment results of the Okhimath landslides derived from the analysis of very high resolution (VHR) images received from Cartosat-2, Resourcesat-2, Kompsat-2 and GeoEye-1 satellites are presented. These datasets were acquired through a coordinated effort of the Indian Space Research Organisation and International Charter Space and Major Disasters. A total of 126 buildings, 34.5 ha of agricultural land and 7.78 km of road were identified as damaged through the VHR satellite data analysis. Using a semi-automatic landslide detection technique, 473 landslides covering a 2.25-km2 area were also identified. Villages such as Mangali, Chunni, Brahman Kholi, Semla, Paldwadi, Saari and Giriyagaon are found to be most affected due to this event. The damage is mainly attributed to rock slides which originated in the escarpment zone which later converted to debris flows by scouring the material along the run-out zone. 相似文献
54.
With record breaking heat waves, dryness, and floods in several parts of the world in recent years the question arises whether and to what extent the hazard of hydrometeorological extreme weather events has changed, and if changes can be attributed to specific causes. The methodology of probabilistic event attribution allows to evaluate such potential changes in the occurence probabilities of particular types of extreme events. We show that such a probabilistic assessment not only provides information on changing hazards in hydrometerological events but also permits statements about multivariate combinations of hydrometeorological variables. Hence attribution studies could be targeted specifically towards relevant impacts in particular sectors, if different suitable multivariate proxies are used. We demonstrate our methodology by using combinations of temperature, precipitation and humidity in the large ensemble of climate simulations within the weather@home project in order to derive impact-relevant quantities such as a seasonal water balance and heat stress imposed on the human body. Finally, we estimate the hazard probabilities of those events in South-East Europe, a region that has recently experienced severe summer dryness (2012) in combination with multiple heat waves. 相似文献
55.
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
56.
Parveen Sihag Vijay P. Singh Anastasia Angelaki Vinod Kumar Alireza Sepahvand Evangelia Golia 《水文科学杂志》2013,58(13):1647-1658
ABSTRACTInfiltration plays a fundamental role in streamflow, groundwater recharge, subsurface flow, and surface and subsurface water quality and quantity. In this study, adaptive neuro-fuzzy inference system (ANFIS), support vector machine (SVM) and random forest (RF) models were used to determine cumulative infiltration and infiltration rate in arid areas in Iran. The input data were sand, clay, silt, density of soil and soil moisture, while the output data were cumulative infiltration and infiltration rate, the latter measured using a double-ring infiltrometer at 16 locations. The results show that SVM with radial basis kernel function better estimated cumulative infiltration (RMSE = 0.2791 cm) compared to the other models. Also, SVM with M4 radial basis kernel function better estimated the infiltration rate (RMSE = 0.0633 cm/h) than the ANFIS and RF models. Thus, SVM was found to be the most suitable model for modelling infiltration in the study area. 相似文献
57.
Dasu Purushotham Linga Dharavath Sibasish Mishra Sunkari Kavitha G. Naga Vinod 《Journal of the Geological Society of India》2017,89(4):419-428
The study area is very important in terms of anthropogenic activity like rapid industrial, urban development, pesticides, pharmacy, granite polishing and agro based industries. Soils represent an excellent media to monitor heavy metal pollution. The results of soil samples analyzed in the present work using XRF reveal anomalous heavy metal and major oxide concentrations. The geogenic and anthropogenic activities for a long period in the study area are responsible for the anomalous heavy metal pollutants. Hence, this work is of immense societal benefit in terms of prevailing human health hazards in the study area with a direct relevance to such industrially populated regions elsewhere. Soil samples collected from study area were analyzed for heavy metals (As, Ba, Cr, Cu, Ni, Co, Mo, Pb, Rb, Sr, V, Y, Zn and Zr and major oxides (SiO2, Al2O3, Fe2O3, MnO, MgO, CaO, Na2O, K2O, TiO2, and P2O5 ) using Philips PW 2440 X-ray Fluorescence Spectrometer (XRF). The minimum 0.08 for molybdenum and maximum 21.99 enrichment factor for arsenic is observed. The minimum -2.5 and maximum 17.97 geoaccumulation index values is observed for barium and molybdenum. The minimum 0.07 and maximum 4.3 contamination factors is observed for molybdenum and lead. High contamination degree 19.21 for SMP-1 and least 7.8 for SMP-12 is observed. The minimum 0.41 and maximum 0.95 pollution load index is observed for SMP-12 and SMP-20. Factor analysis results shows that, three factors emerged as significant contributors to the soil quality is about seventy six percent for heavy metals and sixty eight percent for major oxides. The spatial variation maps deciphering heavy metal concentration of both natural and anthropogenic origin by three zones i.e. low, moderate and high of the study area based on environment using Arc-GIS. 相似文献
58.
59.
Stress-path dependent behavior of a weathered clay crust 总被引:1,自引:0,他引:1
Vinod K. Garga Mahbubul A. Khan Sai K. Vanapalli 《Geotechnical and Geological Engineering》2006,24(6):1481-1509
Triaxial compression and oedometer consolidation tests are commonly performed to evaluate the strength and deformation behavior
of soils. However, in the field, the stress paths imposed by various engineering works may deviate from the stress paths conventionally
used in laboratory tests. Moreover, the stress-paths followed by different soil elements under a foundation are different.
To obtain representative soil parameters, the laboratory stress path should be similar to that followed in the field. In this
study, a significant number of stress-path triaxial tests, with stress probes in various directions, have been conducted to
study the stress-path dependent behavior of an overconsolidated weathered crust of Champlain clay in Eastern Ontario. Both
undrained and drained tests have been conducted for samples isotropically consolidated to the in situ vertical stress and anisotropically consolidated to in situ state of stress. The yield locus of the clay crust has been defined. It has been observed that the strength-deformation and
yielding behavior of this weathered clay crust highly depends on the stress-path as well as on the in situ stress history. 相似文献
60.
Hema Chandrasekharan Nair Damodaran Padmalal Ammini Joseph Vinod Padmakumari Gopinthan 《Arabian Journal of Geosciences》2018,11(4):73
The present study deals with the hydrogeochemistry and water quality of shallow aquifers in two important river basins—the Ithikkara and Kallada river basins—draining the south western flanks of Western Ghats in Kerala, South West India. Well water samples were collected from 20 dug wells with a depth range of 1 m below ground level (mbgl) to 18.2 mbgl during pre-monsoon, monsoon, and post-monsoon seasons of the year 2011–2012. These samples were analyzed for various physico-chemical parameters following standard methods and were evaluated for their interrelations and drinking water suitability. The pH of the water samples shows wide variation from highly acidic to highly alkaline water. About 80% of pre-monsoon samples recorded Fe2+ concentration above the permissible limit of drinking water standard. Water Quality Index (WQI) shows that majority of the well water samples fall in the category of excellent–good for drinking purpose. The results of the irrigation suitability assessment using the procedures like Percent Sodium, Sodium Absorption Ratio, Residual Sodium Carbonate, Kelly Index, Permeability Index, and Magnesium Hazard reveal that the well waters of the study area are fit for irrigation purpose. Na+/Cl? ratio reflects the release of sodium to water due to silicate weathering. The samples have a Ca2+/Mg2+ ratio equal or greater than 2 indicating the effect of silicate minerals in contributing Ca2+ and Mg2+ ions to the well water. The saturation indices reveal that groundwater is supersaturated with SiO2. Among the causative factors that determine the hydrochemical quality of well water samples, silicate weathering plays a pivotal role with significant input of ions from anthropogenic sources. 相似文献