System dynamic modelling for assessing the vulnerability of water resources: a case of Chennai City, Tamil Nadu, India

2021 ◽  
Vol 14 (19) ◽  
Author(s):  
Kaaviya Rajarethinam ◽  
Devadas Varuvel ◽  
Virupaxi Bagodi
2019 ◽  
Vol 118 (7) ◽  
pp. 82-94
Author(s):  
DR.C. KATHIRAVAN ◽  
DR.M. MANIVANNAN ◽  
E.CHANDRA MOULI ◽  
A. RAJASEKAR

The data were collected using personal interview method and a total of 455 employees who were in some aspect knowledge management in banks and identified through multistage random sampling method. Multistage random sampling technique is a probability sampling type where available study topics employ future topics from among their contacts. The study was limited to Chennai city of Tamil Nadu. The analysis found that banks employees moderately perceived towards factors of knowledge management such as knowledge utilization, information technology, knowledge motivation, knowledge storage, knowledge sharing enablers and knowledge creation. Hence, it is concluded that training program is important for the survival of knowledge management. It is also imperative for effective of employees’ job performance.


2021 ◽  
Author(s):  
Chandni Singh ◽  
Mark Tebboth ◽  
Jasmitha Arvind ◽  
Yashodara Udupa

This study focuses on disaster impacts and recovery in Tamil Nadu, drawing on insights from Chennai city and Nagapattinam district. The research is part of a larger three-year project called “Recovery with Dignity”, which examines the experiences of recovery in post-disaster situations across three states in India – Odisha, Tamil Nadu, and Kerala – and explores how recovery processes represent vulnerable populations. In this report, we focus on three key disasters in Tamil Nadu: the 2004 Indian Ocean Tsunami, the 2015 South India flood, and the 2018 Cyclone Gaja. Through these events, we examine how the ways disasters and their losses are represented shape recovery outcomes. The study uses a range of data, from a review of state policies in Tamil Nadu (2005-2019), an analysis of media articles published in English and Tamil (2004-2019), to interviews with disaster-affected people and secondary stakeholders. The findings indicate that disaster responses and outcomes are highly differentiated based on how disaster-affected people and their needs and losses are represented. To enable inclusive recovery, it is necessary to recognising the heterogenous nature of disaster impacts and acknowledge different ideas of what recovery means.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
R. Kaaviya ◽  
V. Devadas

Abstract Background The urban water system is the worst hit in global climate change. Water resilience is the system’s ability to retaliate and recover from various water-related disruptions. The present study aims to delineate the water resilience zones in Chennai city, Tamil Nadu, India, by effectively integrating the geographic information system, remote sensing, and analytical hierarchy process (AHP). Methods The methodology incorporated 15 vital factors. A multi-criteria decision analysis technique was adopted to assign a weight to each parameter using the AHP. A pairwise decision matrix was constructed, parameter’s relative importance and the consistency ratio were established. Integration of all maps by weighted overlay analysis technique depicted water resilience intensities of five different classes. Results Very low, low and moderate water resilience areas accounted for more than three-fourth of the study area. Area Under Curve score (80.12%) depicted the accuracy of the developed model. Sensitivity analysis determined the significance of the parameters in the delineation. The logical structural approach can be employed in other parts of India or elsewhere with modifications. Conclusion This study is novel in its approach by holistically analyzing water resilience by integrating disruptions related to flood, drought and the city's water infrastructure system's adequacy and efficiency. Researchers and planners can effectively use the study results to ensure resilience as a new perspective on effective water resource management and climate change mitigation. It becomes a decision aid mechanism identifying where the system is vulnerable to potential water-related risks for employing resilience measures.


YMER Digital ◽  
2021 ◽  
Vol 20 (12) ◽  
pp. 439-445
Author(s):  
V Thandapani ◽  
◽  
M Arulmurugan ◽  

The dimension of the slums is presumed as something that is deteriorating urban areas that is densely populated and contains dilapidated housing, often in multiple occupations, poverty, social disadvantage and other forms of physical and social deprivation. Sprawl is a universal occurrence knowledgeable by inexpensively highly developed fine mounting nations. Hurried sprawl appropriate to “pull factor” or the livelihood occasion fashioned in the city and “push factor” owed to the be deficient in of the equivalent in rustic regions and together with ecological dilapidation, has fascinated settlers not barely as of the rustic state but in addition commencing supplementary fractions of the state. Expansion of mechanization roughly in capital of Tamil Nadu, in deprivation condition in the rustic locale, too little drizzle in the rustic part, castism, hastily and enormous edifice creation doings and approximately the city and in sequence expertise commons, has specified surety for accomplished, inexperienced, semi-skilled employments are existing to the justified citizens. In the present study main aims are income and expenditure activities of the Porur slum areas in Chennai city


This empirical study aims to explore the relationship between brand engagement and social media marketing among the students of higher education institutions in Chennai city of Tamil Nadu. This research study adopts primary survey method with the help of structured questionnaire collected from 388 students those who uses social media networking sites. The result indicates that Integration, E-WoM, Social Media Advertisement, Social Media Interaction and Brand Attitude are the major factors determining the brand engagement among students. The cluster classification and discriminant functions shows that two groups are significantly form namely, low brand engagement groups and high brand engagement groups in their order of dominance. To conclude, it is necessary to create interaction between the customer and brand and consumer to consumer to identify the impact of communication on brand equity.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Azamussan Syed ◽  
Munuswamy Shanmugam

Purpose The purpose of this study is to assess the effects of demographic groups (i.e. gender groups, marital status groups, age groups, income groups, experience groups, education groups and occupation groups) on socially responsible consumption (hereafter SRC) behaviour. Design/methodology/approach The study was carried out in Chennai city, the capital of Tamil Nadu state of India. A total of 214 responses were collected during the survey. The respondents were the university staff composed of lecturer/professor, lab instructor, admin staff and support staff. A socially responsible purchase and disposal scale has been used to measure SRC behaviour amongst consumers. The convenience sampling technique was used for data collection. Independent-samples t-test and one-way analysis of variance (ANOVA) techniques were used for hypotheses testing. Findings Factor analyses confirmed the multidimensional structure of the SRC construct with the following axes: firms’ internal corporate social responsibility (hereafter CSR) performance, firms’ external CSR performance, firms’ environmental CSR performance and consumers’ personal social responsibility. In addition, this study found that demographic groups have no effects on SRC behaviour. Research limitations/implications The current research will be a step forward to a richer and more inclusive understanding of the effects of demographic groups on SRC behaviour. Practical implications This study would help managers to understand consumer markets, formulate strategy and develop sustainable products. Originality/value This study is amongst the few attempted to examine the effects of demographic groups on SRC behaviour amongst consumers. This research endeavoured to validate the multidimensional nature of the SRC construct.


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