scholarly journals Developing Landslide Hazard Scenario of Kashmir Himalaya from the Historical Events

2021 ◽  
Author(s):  
Bilquis shah ◽  
M. Sultan Bhat ◽  
Akhtar Alam ◽  
Hilal Sheikh ◽  
Noureen Ali
Keyword(s):  
Warning System ◽  
Small Scale ◽  
Analysis Tool ◽  
Kashmir Himalaya ◽  
Hotspot Analysis ◽  
Jammu And Kashmir ◽  
Government Organizations ◽  
National Highway ◽  
Tectonically Active ◽  
Hazard Scenario

Abstract Kashmir Himalaya being a rugged and tectonically active zone has complex, unstable geology along with steep slopes, creating a favorable environment for landslide hazards, especially along the National Highway (NH-44) that connects the Vale of Kashmir with the rest of India. The historical landslide database for the whole country has not yet been developed and the data provided by various government organizations are often very limited because most of the time local and small-scale landslide events do not get recorded, thus, leading to misinterpretations. The present study focuses on retrieving the information on landslide events and their impacts to develop a comprehensive database for the period from 1990 to 2020 in Jammu and Kashmir, emphasizing Jammu-Srinagar National Highway (NH-44). A hotspot analysis tool (Getis-ord-Gi* algorithm) was used to understand the spatial distribution and concentration of the events throughout the region. The annual and seasonal analysis of the 739 landslide events reported in the valley for the selected period suggests an increasing trend causing 1000 fatalities and 267 injuries. The findings show that out of 20 districts, 16 are relatively more exposed to landslides and the socio-impact induced by landslides was found more along the NH-44 with 303 landslide occurrences reported in 260 days in the past three decades having a high intensity of damage and loss. The results of this study are expected to be of potential use for developing a Landslide Early Warning System (LEWS) and for mitigating the impacts of landslides in the Kashmir Himalaya.

scholarly journals Methodology for Developing Hydrological Models Based on an Artificial Neural Network to Establish an Early Warning System in Small Catchments

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Ivana Sušanj ◽  
Nevenka Ožanić ◽  
Ivan Marović
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Small Scale ◽  
Ann Model ◽  
Data Value ◽  
The Mean ◽  
Artificial Neural

In some situations, there is no possibility of hazard mitigation, especially if the hazard is induced by water. Thus, it is important to prevent consequences via an early warning system (EWS) to announce the possible occurrence of a hazard. The aim and objective of this paper are to investigate the possibility of implementing an EWS in a small-scale catchment and to develop a methodology for developing a hydrological prediction model based on an artificial neural network (ANN) as an essential part of the EWS. The methodology is implemented in the case study of the Slani Potok catchment, which is historically recognized as a hazard-prone area, by establishing continuous monitoring of meteorological and hydrological parameters to collect data for the training, validation, and evaluation of the prediction capabilities of the ANN model. The model is validated and evaluated by visual and common calculation approaches and a new evaluation for the assessment. This new evaluation is proposed based on the separation of the observed data into classes based on the mean data value and the percentages of classes above or below the mean data value as well as on the performance of the mean absolute error.

The devil is in the detail: Bourdieu and teachers’ early career learning

2017 ◽  
Vol 6 (1) ◽  
pp. 19-33 ◽  
Author(s):  
Jane Kirkby ◽  
Julianne Moss ◽  
Sally Godinho
Keyword(s):  
Beginning Teachers ◽  
Research Question ◽  
Professional Knowledge ◽  
Early Career ◽  
Cultural Learning ◽  
Small Scale ◽  
Cultural Reproduction ◽  
Analysis Tool ◽  
Content Type ◽  
The Social

Purpose The purpose of this paper is to present how the social learning theory of Bourdieu (1990; Bourdieu and Passeron, 1990) can be a valuable tool to investigate mentoring relationships of beginning teachers with their more experienced colleagues. Bourdieu’s work provides a lens to magnify the social exchanges that occur during the mentoring relationship, so that what tends to be hidden in the “logic of practice” (Bourdieu, 1990) is drawn into view. The paper shows how the mentor is ascribed power that enables domination, and how this tends to result in cultural reproduction. A case study is used to identify aspects of social and cultural learning that demonstrate this process. Design/methodology/approach The paper draws on a year-long narrative inquiry of beginning secondary teachers’ mentoring experiences in the state of Victoria, Australia. The data were generated through in-depth interviews and participants’ diary entries to answer the research question “What personal, professional knowledge is developed through beginning teachers’ early experiences with induction and mentoring?” Findings The researcher found that attention to minutiae of mentor/mentee interactions can suggest how symbolic violence shapes personal, professional knowledge. Research limitations/implications This small-scale study has some limitations. However, as an illustration of organisational learning, with strong connections to Bourdieu’s theoretical work, it can provide some illuminating insights into how policy can be enacted at the micro-level. In particular, there are implications for how mentor teachers engage in their roles and understand the potential impact of their interactions with beginning teachers. Originality/value This study applies Bourdieu’s framework of cultural reproduction as an analysis tool for a qualitative study of the mentoring of beginning teachers.

scholarly journals Communication Structures and Decision Making Cues and Criteria to Support Effective Drought Warning in Central Malawi

2020 ◽  
Vol 2 ◽  
Author(s):  
Alexia Calvel ◽  
Micha Werner ◽  
Marc van den Homberg ◽  
Andrés Cabrera Flamini ◽  
Ileen Streefkerk ◽  
...  
Keyword(s):  
Decision Making ◽  
Early Warning ◽  
Warning System ◽  
Agricultural Practices ◽  
Early Warning Systems ◽  
Sudden Onset ◽  
Small Scale ◽  
Warning Systems ◽  
Structured Interviews ◽  
Early Action

Early warning systems trigger early action and enable better disaster preparedness. People-centered dissemination and communication are pivotal for the effective uptake of early warnings. Current research predominantly focuses on sudden-onset hazards, such as floods, ignoring considerable differences with slow-onset hazards, such as droughts. We identify the essential factors contributing to effective drought dissemination and communication using the people-centered approach advocated in the WMOs Multi-Hazard Early Warning System Framework (MHEWS). We use semi-structured interviews with key stakeholders and focus group discussions with small-scale farmers in the Mangochi and Salima Districts of Malawi. We show that the timely release of seasonal forecast, the tailoring of the drought warning content (and its timing) to agricultural decision making, and the provision of several dissemination channels enhance trust and improve uptake of drought warning information by farmers. Our analysis demonstrates that farmers seek, prepare, and respond to drought warning information when it is provided as advice on agricultural practices, rather than as weather-related information. The information was found to be useful where it offers advice on the criteria and environmental cues that farmers can use to inform their decisions in a timely manner. Based on our findings, we propose that by focusing on enhancing trust, improving information uptake and financial sustainability as key metrics, the MHEWS can be adapted for use in monitoring the effectiveness of early warning systems.

scholarly journals Assessment of landslide hazards induced by extreme rainfall event in Jammu and Kashmir Himalaya, northwest India

Geomorphology ◽  
2017 ◽  
Vol 284 ◽  
pp. 72-87 ◽  
Author(s):  
Amit Kumar ◽  
AKL Asthana ◽  
Rao Singh Priyanka ◽  
R. Jayangondaperumal ◽  
Anil K Gupta ◽  
...  
Keyword(s):  
Extreme Rainfall ◽  
Rainfall Event ◽  
Extreme Rainfall Event ◽  
Kashmir Himalaya ◽  
Jammu And Kashmir ◽  
Landslide Hazards ◽  
Northwest India

Carboniferous floras in siliciclastic rocks of Kashmir Himalaya, India and the evolutionary history of the Tethyan Basin

2013 ◽  
Vol 150 (4) ◽  
pp. 577-601 ◽  
Author(s):  
KAMAL JEET SINGH ◽  
RAJINDER SINGH ◽  
CHRISTOPHER J. CLEAL ◽  
ANJU SAXENA ◽  
SHAILA CHANDRA
Keyword(s):  
Climatic Conditions ◽  
Ice Age ◽  
Kashmir Himalaya ◽  
Jammu And Kashmir ◽  
Marine Deposits ◽  
Depositional System ◽  
History Of ◽  
Shale Formation ◽  
Fossil Floras ◽  
Siliciclastic Rocks

AbstractThe Fenestella Shale Formation of Jammu and Kashmir Himalaya comprises latest Viséan or Serpukhovian siliciclastic deposits formed along the southern margins of the Palaeotethys Ocean. A sequence of shallowing upward and deepening upward units indicates changes from shoreface to offshore and deeper shelf conditions, probably controlled by eustatic changes in an otherwise passive depositional system. Some of the finer-grained, shallow marine deposits have yielded fossil floras dominated by sub-arborescent lycopsids (Sublepidodendron,Lepidodendropsis) sphenophytes (Archaeocalamites) and pteridophylls (Nothorhacopteris,Triphyllopteris). The assemblage compares with other Gondwanan floras of this age that have been assigned to the Paraca floral realm, and are taken to indicate relatively warm climatic conditions that existed just prior to the onset of the Carboniferous–Permian ice-age.

scholarly journals Sinkhole collapse propagation studies through instrumented small-scale physical models

2020 ◽  
Vol 382 ◽  
pp. 71-76
Author(s):  
Maria Ferentinou
Keyword(s):  
Warning System ◽  
Physical Models ◽  
Critical Conditions ◽  
Small Scale ◽  
Optic Fiber ◽  
Fiber Sensors ◽  
Ground Collapse ◽  
Scale Models ◽  
Sinkhole Collapse ◽  
Fbg Sensors

Abstract. Sinkholes are common geohazards, frequently responsible for sudden catastrophic ground collapse. Thus, effective monitoring would allow for further understanding of the mechanism of occurrence of sinkholes and lead to the development of a potential early warning system to provide an alarm or a warning of incipient col-lapse. In the current study, fiber Bragg gratings (FBGs) were used to instrument reduced scale models, simulating a sinkhole event. The tests were conducted by embedding optic fiber sensors in the soil and inducing failure until critical conditions were reached. FBG sensors were manufactured in a single optic fiber cable. The measurements of small horizontal strains were recorded simultaneously and in various positions. Failure mechanism was found to relate to the backfill density, and compaction.

scholarly journals Tracers and traceability: implementing the cirrus parameterisation from LACM in the TOMCAT/SLIMCAT chemistry transport model as an example of the application of quality assurance to legacy models

2009 ◽  
Vol 2 (2) ◽  
pp. 1299-1333
Author(s):  
A. M. Horseman ◽  
A. R. MacKenzie ◽  
M. P. Chipperfield
Keyword(s):  
Quality Assurance ◽  
Software Engineering ◽  
Large Scale ◽  
Best Practice ◽  
Transport Model ◽  
Acceptance Testing ◽  
Small Scale ◽  
Analysis Tool ◽  
Chemistry Transport Model ◽  
Research Software

Abstract. A new modelling tool for the investigation of large-scale behaviour of cirrus clouds has been developed. This combines two existing models, the TOMCAT/SLIMCAT chemistry transport model (nupdate library version 0.80, script mpc346_l) and cirrus parameterisation of Ren and MacKenzie (LACM implementation not versioned). The development process employed a subset of best-practice software engineering and quality assurance processes, selected to be viable for small-scale projects whilst maintaining the same traceability objectives. The application of the software engineering and quality control processes during the development has been shown to be not a great overhead, and their use has been of benefit to the developers as well as the end users of the results. We provide a step-by-step guide to the implementation of traceability tailored to the production of geo-scientific research software, as distinct from commercial and operational software. Our recommendations include: maintaining a living "requirements list"; explicit consideration of unit, integration and acceptance testing; and automated revision/configuration control, including control of analysis tool scripts and programs. Initial testing of the resulting model against satellite and in-situ measurements has been promising. The model produces representative results for both spatial distribution of the frequency of occurrence of cirrus ice, and the drying of air as it moves across the tropical tropopause. The model is now ready for more rigorous quantitative testing, but will require the addition of a vertical wind velocity downscaling scheme to better represent extra-tropical continental cirrus.

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