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The study aims to showcase public sentiments via social media, Twitter, during 2014 floods of Jammu and Kashmir, India.

The study is based on content analysis of tweets related to Kashmir floods. Search was performed with “#kashmirfloods” and was confined to tweets posted from 4 September 2014 through 3 November 2014. A naturalistic approach was applied to examine the content and classify tweets into 5 major and 25 sub categories. Data as such collected were tabulated in SPSS 21 for analysis.

During the study period, individuals, news channels, and organisations posted a total of 36,697 tweets related to Kashmir floods. It all started with an outburst of tweets which goes on declining (exponentially) with every passing day. People express themselves in a number of ways with informational tweets used more during the time of disaster. Individuals expressing their sentiments outscore other types of sentiments with text-based tweets ranking high. About 44 per cent of tweets were retweeted, and nearly 31 per cent tweets were marked favourite. Comparatively, more number of informational and help tweets were retweeted or marked favourite. Contextual richness of tweet (i.e. number of embedded expressions) enhances its visibility by means of getting liked and/or retweeted. A statistically significant positive association is observed between the number of expressions in a tweet and the number of times it is liked (favourite) or retweeted.

Twitter plays a pivotal role during natural calamities like Kashmir floods to connect people in the hour of need and help. It provides a platform where the plight of people is heard across the globe and which encourages people to unite and overcome hurdles together.

This study examines the sentiments of people expressed during Jammu and Kashmir (India) Floods 2014 on social media – Twitter.

This study aims to explore the preparedness and the recovery/rebuilding activities or strategies adopted by the respondents during the phases of natural disaster/crisis in Jammu and Kashmir and Assam, India.

The qualitative research design was chosen for the study. The interview method was adopted in the present research. The respondents were selected purposefully from the representatives of tourism organizations/destinations management organizations and emergency organizations, i.e. disaster management and hotels experienced by natural disasters, i.e. flood 2014 in Kashmir valley 2019 in Assam states of India.

Moderate level of preparedness among the tourism organizations, tourism businesses such as hotels leaves implications for them to enhance the disaster or crisis resilient community. The preparedness programs, efficient social media, communications strategies and development of tourist destinations-specific disaster-related crisis management plans were suggested to enhance disaster resilience.

The present study is widely contributing to the theory of the vital concepts of crisis management at tourism destinations. This study suggests the practical implications for and suggestions to the industry practitioners, government agencies and researchers to rebuild the tourist destinations from the disaster/crisis and enhance global resilience.

Risk assessment is imperative for disaster risk reduction. The risk is rooted to various physical, social, economic, demographic and environmental factors that determine the probable magnitude of loss during an extreme event. By way of bringing a conceptual model into practice, this paper aims to examine the flood risk of the Srinagar city.

The “risk triangle” model has been adopted in the present investigation evaluating parameters, reflective of hazard (intensity), exposure (spatial) and vulnerability (sensitivity) using Landsat-8 operational land imager scene (10 September 2014), global positioning system, Cartosat-1 digital elevation model and socioeconomic and demographic data (Census of India, 2011). The authors characterise flood hazard intensity on the basis of variability in water depth during a recent event (September 2014 Kashmir flood); spatial exposure as a function of terrain elevation; and socioeconomic structure and demographic composition of each municipal ward of the city as a determinant factor of the vulnerability. Statistical evaluation and geographic information system-based systematic integration of all the multi-resolution data layers helped to develop composite flood risk score of each ward of the city.

Principal deliverable of this study is flood risk map of the Srinagar city. The results reveal that approximately 46 per cent of the city comprising 33 municipal wards is at high risk, while rest of the area, i.e. 17 and 37 per cent, exhibit moderate and low levels of risk, constituting 23 and 12 municipal wards, respectively. It is very likely that the municipal wards expressing high risk may witness comparatively more damage (impact) during any future flood event. Thus, there is a need of planned interventions (structural and non-structural) to minimise the emergent risk.

Very rare attempts have been made to bring theoretical models of disaster research in practice; this is mainly because of the complexities associated with the data (selection, availability and subjectivity), methodology (integration, quantification) and resolution (spatial scales). In this direction, this work is expected to have considerable impact, as it provides a clear foundation to overcome such issues for the studies aiming at disaster risk assessment. Furthermore, using varied primary and secondary data, this paper demonstrates the relative (municipal wards) flood risk status of the Srinagar city, which is one of the key aspects for flood hazard mitigation.

The purpose of this paper is to identify the issues and challenges in humanitarian logistics and to develop a framework for effectively managing the humanitarian logistics in disaster relief supply chain operations in India.

This paper presents a framework to manage humanitarian logistics effectively in disaster management through qualitative analysis. First, the author examines the challenges facing the humanitarian logistics and supply chain through the reviews of the literature on various disasters. Then, the author presented a framework based on the best practices and initiatives taken worldwide in the preparedness and response stage of the humanitarian supply chain to manage and reduce the aftermath of any disaster in context to India.

A framework has been developed to manage humanitarian logistics in the disaster relief operation, which would improve the humanitarian supply chain in India and help to effectively manage natural disasters in the preparedness and response stage at the state and district levels.

The paper mainly emphasises on the preparedness and response stage of disaster supply chain management in Indian context.

None of the disaster incidents can be stopped from taking place, but the impact can be minimised by proper preparedness and effective response during the operations of humanitarian logistics. With this hope, the framework has been developed, which if implemented would help to plan and manage any disaster incident in an effective manner, which ultimately would save millions of lives and cost in terms of infrastructure, property, assets etc.

As natural disaster incidents are occurring frequently in Indian states, there is an urgent need for a framework to manage the logistics operations effectively and efficiently during any disaster relief operations. Limited literature is found on developing and presenting a framework focusing on the preparedness and response phase of disaster supply chain management in context to India. Hence, this paper is believed to be the first to fulfil this gap with main emphasis on the preparedness and response stage of disaster supply chain management in Indian scenario.

Sharing and obtaining information over social media has enabled people to express their opinions regarding any event. Since the tweets regarding the Russia-Ukraine war were extensively publicized on social media, this study aims to analyse the temporal sentiments people express through tweets related to the war.

Relevant hashtag related to the Russia-Ukraine war was identified, and tweets were downloaded using Twitter API, which were later migrated to Orange Data mining software. Pre-processing techniques like transformation, tokenization, and filtering were applied to the extracted tweets. VADER (Valence Aware Dictionary for Sentiment Reasoning) sentiment analysis module of Orange software was used to categorize tweets into positive, negative and neutral ones based on the tweet polarity. For ascertaining the key and co-occurring terms and phrases in tweets and also to visualize the keyword clusters, VOSviewer, a data visualization software, was made use of.

An increase in the number of tweets is witnessed in the initial days, while a decline is observed over time. Most tweets are negative in nature, followed by positive and neutral ones. It is also ascertained that tweets from verified accounts are more impactful than unverified ones. russiaukrainewar, ukraine, russia, false, war, nato, zelensky and stoprussia are the dominant co-occurring keywords. Ukraine, Russia and Putin are the top hashtags for sentiment representation. India, the USA and the UK contribute the highest tweets.

The study tries to explore the public sentiments expressed over Twitter related to Russia-Ukraine war.

Twitter is gaining popularity as a microblogging and social networking service to discuss various social issues. Coronavirus disease 2019 (COVID-19) has become a global pandemic and is discussed worldwide. Social media is an instant platform to deliberate various dimensions of COVID-19. The purpose of the study is to explore and analyze the public sentiments related to COVID-19 vaccines across the Twitter messages (positive, neutral, and negative) and the impact tweets make across digital social circles.

To fetch the vaccine-related posts, a manual examination of randomly selected 500 tweets was carried out to identify the popular hashtags relevant to the vaccine conversation. It was found that the hashtags “covid19vaccine” and “coronavirusvaccine” were the two popular hashtags used to discuss the communications related to COVID-19 vaccines. 23,575 global tweets available in public domain were retrieved through “Twitter Application Programming Interface” (API), using “Orange Software”, an open-source machine learning, data visualization and data mining toolkit. The study was confined to the tweets posted in English language only. The default data cleaning and preprocessing techniques available in the “Orange Software” were applied to the dataset, which include “transformation”, “tokenization” and “filtering”. The “Valence Aware Dictionary for sEntiment Reasoning” (VADER) tool was used for classification of tweets to determine the tweet sentiments (positive, neutral and negative) as well as the degree of sentiments (compound score also known as sentiment score). To assess the influence/impact of tweets account wise (verified and unverified) and sentiment wise (positive, neutral, and negative), the retweets and likes, which offer a sort of reward or acknowledgment of tweets, were used.

A gradual decline in the number of tweets over the time is observed. Majority (11,205; 47.52%) of tweets express positive sentiments, followed by neutral (7,948; 33.71%) and negative sentiments (4,422; 18.75%), respectively. The study also signifies a substantial difference between the impact of tweets tweeted by verified and unverified users. The tweets related to verified users have a higher impact both in terms of retweets (65.91%) and likes (84.62%) compared to the tweets tweeted by unverified users. Tweets expressing positive sentiments have the highest impact both in terms of likes (mean = 10.48) and retweets (mean = 3.07) compared to those that express neutral or negative sentiments.

The main limitation of the study is that the sentiments of the people expressed over one single social platform, that is, Twitter have been studied which cannot generalize the global public perceptions. There can be a variation in the results when the datasets from other social media platforms will be studied.

The study will help to know the people's sentiments and beliefs toward the COVID-19 vaccines. Sentiments that people hold about the COVID-19 vaccines are studied, which will help health policymakers understand the polarity (positive, negative, and neutral) of the tweets and thus see the public reaction and reflect the types of information people are exposed to about vaccines. The study can aid the health sectors to intensify positive messages and eliminate negative messages for an enhanced vaccination uptake. The research can also help design more operative vaccine-advocating communication by customizing messages using the obtained knowledge from the sentiments and opinions about the vaccines.

The paper focuses on an essential aspect of COVID-19 vaccines and how people express themselves (positively, neutrally and negatively) on Twitter.

This paper aims to highlight the damage suffered by the prominent libraries of Kashmir during September 2014 floods. The work provide an insight about the response and recovery measures being taken during and after the floods respectively in ten prominent libraries of Jammu & Kashmir [six Academic libraries (S.P. College Library, Women’s College Library, Govt. Degree College Library – Bemina, Amar Singh College Library, Gandhi Memorial College Library and College of Education Library); three Special libraries (J&K Academy of Art, Culture & Languages Library – Srinagar, Govt. Medical College Library – Srinagar and J&K High Court Library) and one Public library (Sri Pratap Singh library)].

A variety of data collection tools and techniques such as interview, questionnaire, observation, etc., were used to collect the data. The collected data have been tabulated and analyzed to derive meaningful conclusions and findings as per the set objectives of the study.

The results reveal that although libraries in Kashmir are prone to disasters like floods; yet, none of the library seems to be prepared to bear or cope such a disaster. The findings provide a gloomy picture of libraries when it comes to the measures being taken by these libraries during and after the floods to protect their resources. The paper highlights the inefficiency and incapability of libraries (in terms of disaster management) by finding that most of the libraries are without a disaster response and recovery plan as well as a disaster response and recovery team. The study recommends that some tangible measures if taken can save precious resources hosted in libraries.

The current study can help the stakeholders to chalk out scientific and systematic policy and plans for library and information centers that can be executed with minimum of fuss and anarchy.

The study offers working knowledge to library professional on ground for effective management of assets and resources in pre- and post-disaster scenario.

Twitter as a social tool allows people to express their views, emotions or communicate information within brevity of 140 character limit. It has provided an opportunity to researchers to tab users’ expressions on social or political issues, be it natural calamity, elections and alike. The purpose of this paper is to assess how people explored Twitter to express their views regarding state assembly elections of Jammu and Kashmir (India).

The authors performed content analysis of 4,537 tweets that were posted by 1,420 different Twitter users over a period of 78 days (October 30, 2014 through January 15, 2015).

Users were found to be active on the days of polling while post-polling period witnessed a huge influx in particular on the day of voting and declaration of results. Nearly 94 percent users have posted around 50 percent of tweets and there were only 81 handles which posted remaining 50 percent tweets. In additions to people, news agencies, anonymous groups and social/political groups have expressed their views on this event. Nearly one-fourth tweets were retweeted and one-fourth tweets were marked favorite. Users have mostly providing news updates or personnel commentaries about the election process.

The study is first of its kind using Twitter to represent the sentiments of people during floods.

The purpose of this study is to develop a sense of urgency and utmost care for careful disaster management to encourage disaster preparedness for museums and archives.x In particular, this study examines the techniques and methods to be used for response and recovery from different disasters to save valuable resources.

A thorough review of literature was done to identify existing plans, strategies, preparedness and management of archives and museums. On the basis of the knowledge and experience gained, it was decided to use a descriptive method for this study. Among the different data collection modes available in the descriptive method, the study framed a structured questionnaire for the collection of data. Thereafter, the questionnaire was tested for loopholes by conducting a pilot study. The questionnaire evolved as such was used to collect data from select archives and museums. The collected data has been tabulated and analyzed in tune with the set objectives. The findings of this study have been correlated with relevant findings and conclusions of previous studies in this domain to provide a better overview and sanctify the revelations further.

From the current study, the authors find that the topological location of most of the institutions is near or on river banks which is the cause of concern at the time of heavy rains, after heavy snow fall and at the time of floods. It was also found that the majority of these institutions are located near highways which is also a serious concern in terms of noise, smoke, dust and vibrations produced by the plying of different types of transports on these highways. These kinds of unwanted disturbances create a negative atmosphere on the holdings, visitors and staff of these institutions.Although all of the institutions have apparently strong looking buildings that are made up of good material, the matter of concern is that only one institution (SPS museum) has a building which was specifically made for the purpose. As the state of Jammu and Kashmir is politically and geographically unstable, it is found that most of the institutions are prone to disasters like floods, earthquake and bomb threats which pose a threat to these valuable institutions and their valuable holdings.The most necessary and important parameter that is the training of the staff for disaster preparedness is not provided in majority of these institutions.Despite the fact that funds for majority of these institutions are provided by the government, the funds provided are insufficient for having fool-proof disaster preparedness and management.

Because of tremendous significance of archives and museums in propagation and preservation of historical and cultural identity of any nation, culture, ethnicity or nation state, the current study sheds light on the status of these important institutions in a very important part of Central Asia. Kashmir in past has been the cradle of knowledge evolution and sharing in the region. As such, it possesses some of the very rare manuscripts and artifacts preserved in her archives and museums.

As this study is limited to select archives and museums of Jammu and Kashmir, the findings of this study may or may not represent the wider region of Central Asia.

This study aims to provide a review for scour in complex rivers and streams with coarser bed material, steep longitudinal bed slopes and dynamic environments, in the interest of the safety and the economy of hydraulic structures. The knowledge of scour in such geographical complexities is very crucial for a comprehensive understanding of scour failures and for establishing definitive criteria to bridge this major research gap.

The existing available literature shows significant work done in case of silt, sand and small sized coarser bed material but any substantial work for bed material of gravel size or above is lacking, resulting in a wide gap. Though some researchers have attempted to explore possibilities of refining the existing models by adding pier size, shape, sediment non-uniformity and armouring effects, which otherwise have been given a miss by the various researchers, including the pioneer in the field Lacey–Inglis (1930). But still, a rational model for scour estimation in such complex conditions for global use is yet to come. This is because all the parameters governing the scour have not been studied properly till date as is evident from the globally available literature and is witnessed in the field too, in recurrent failure of hydraulic structures especially bridges.

The researchers presume that the finer materials move only as a result of erosion. However, in actual field conditions, it has been observed that the large-sized stones also roll down and cause huge erosion along the river bed and damage the hydraulic structures, especially in the steep river/stream beds along hilly slopes. This fact has been overlooked in the models available globally and has been highlighted only in the current work in an attempt to recognize this major research gap. A study carried out on a number of streams globally and in Jammu and Kashmir, India also, has shown that in steep river and stream beds with bed material consisting of gravel size or greater than gravel, large scour holes ranging from 1 m to 5 m were created by furious floods, and due to other unknown forces along the channel path and near foundations of hydraulic structures.

To the best of the authors’ knowledge, this work is purely original.