ASSESSMENT OF COASTAL RECEPTORSâ€™ EXPOSURE VULNERABILITY TO FLOOD HAZARD ALONG VARNA REGIONAL COAST

Storms and related disasters are phenomena producing coastal hazards and endangering human life and occupation. The study evaluates coastal receptorsâ€™ exposure and their vulnerability to storm-induced flooding hazard along Varna regional coast in Western Black Sea, Bulgaria. The assessment is performed employing the Coastal Risk Assessment Framework (CRAF) developed within EU FP7 RISC-KIT project. It constitutes a screening process that allows determination of susceptible alongshore sectors (hotspots) by assessing relevant hazard intensities, hazard extents and potential receptorsâ€™ exposure vulnerability within them by means of coastal indices approach. The ultimate goal is to evaluate potential risk posed by flooding in support to coastal managers, decision and policy makers. Assessment of coastal receptorsâ€™ exposure vulnerability is done by exposure indicators approach, using hazard intensities and flooding extents relevant to return period of 100 years. The approach consists of combining several indicators into a single index, thereby allowing a rapid comparison of coastal sectors. Five types of receptors are considered to formulate the relevant exposure indicators: Land Use, Population, Transport, Utilities and Business, which subsequently are combined into an Overall Exposure Indicator to evaluate potential direct and indirect impacts. Results show that the most vulnerable to coastal flooding in terms of exposure are coastal sectors located within Varna Bay, comprising port and industry facilities with regional, national and international significance.

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CALCULATION OF MAXIMUM WAVE RUN-UP AND EROSION AT VARNA REGIONAL COAST (WESTERN BLACK SEA) USING EMPIRICAL MODELS

Coastal Engineering Proceedings ◽

10.9753/icce.v35.management.17 ◽

2017 ◽

pp. 17

Author(s):

Petya Eftimova ◽

Nikolay Valchev ◽

Nataliya Andreeva ◽

Bogdan Prodanov ◽

Lyubomir Dimitrov

Keyword(s):

Black Sea ◽

Sandy Beaches ◽

Empirical Models ◽

Screening Process ◽

Flooding Hazard ◽

Coastal Risk Assessment ◽

Convolution Model ◽

Coastal Risk ◽

Run Up ◽

Wave Induced

European coasts suffer significantly from hazards caused by low-probability and high-impact hydro-meteorological events. The aim of the study is to assess in probabilistic terms the magnitude of stormâ€induced flooding and erosion hazards along Varna regional coast (Bulgaria, western Black Sea). The study is performed employing the Coastal Risk Assessment Framework (CRAF) developed within EU FP7 RISC-KIT project. It constitutes a screening process that allows estimation of relevant hazard intensities and extents within predefined sectors. Since total water level was the chief property considered for determination of coastal flooding hazard, the accurate calculation of maximum wave induced run-up is of utter importance. Therefore, a central part of the study is testing the applicability and validation of three empirical models â€“ from which the Holman model was preferred to be applied on sandy beaches, as well as EurOtop formulation for artificial or rocky slopes. As for erosion hazard, the performance of the convolution model was assessed and subsequently employed for evaluation of shoreline retreat. Quantification of hazard intensities allowed hinterland extent to be roughly delineated. As a final result of the study, hazard indicators were obtained for both flooding and erosion, which were subsequently mapped and used for identification of the most susceptible sectors along the regional coast. It was found that their concentration is highest in Varna Bay.

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Understanding the Cognitive Components of Coastal Risk Assessment

Journal of Marine Science and Engineering ◽

10.3390/jmse9070780 ◽

2021 ◽

Vol 9 (7) ◽

pp. 780

Author(s):

Maria Francesca Bruno ◽

Giulia Motta Zanin ◽

Angela Barbanente ◽

Leonardo Damiani

Keyword(s):

Risk Assessment ◽

Negative Impact ◽

Coastal Zone Management ◽

Test Site ◽

Coastal Areas ◽

Fuzzy Cognitive Maps ◽

Coastal Hazards ◽

Policy Makers ◽

Coastal Risk Assessment ◽

Coastal Risk

Nowadays, erosion and flooding risks represent a serious threat to coastal areas and this trend will be worsened due to climate change. The increasing concentration of population in coastal areas has a negative impact on the coastal ecosystem due to change in land use and the exploitation of natural resources, which has also increased exposure to coastal hazards. Risk assessment is hence a primary topic in coastal areas and are often affected by mismanagement and competition of interest between stakeholders. This paper presents an integrated model for coastal risk assessment as well as its application on a test site in the Puglia Region (Southern Italy). An innovative approach has been developed combining a traditional index-based model, exploiting a Drivers-Pressures-State-Impact-Response framework (DPSIR), with stakeholder’s and policy makers’ engagement by using the Future Workshop method and complementary individual working sessions structured through the use of Fuzzy-Cognitive Maps. The study shows that stakeholders’ and policy makers’ risk perception play a key role in coastal risk management and that the integration of physical risk with social perception is relevant to develop more effective management following the basics of Integrated Coastal Zone Management.

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APPLICATION OF BAYESIAN NETWORK AS A TOOL FOR COASTAL FLOODING IMPACT PREDICTION AT VARNA BAY (BULGARIA, WESTERN BLACK SEA)

Coastal Engineering Proceedings ◽

10.9753/icce.v35.management.14 ◽

2017 ◽

pp. 14

Author(s):

Nikolay Valchev ◽

Petya Eftimova ◽

Nataliya Andreeva ◽

Bogdan Prodanov

Keyword(s):

Bayesian Network ◽

Numerical Models ◽

Human Life ◽

Warning System ◽

Coastal Hazards ◽

Climate Conditions ◽

Impact Prediction ◽

Analysis Of Results ◽

Coastal Risk ◽

Risk Reduction Measures

Storms and related disasters are one of the most important phenomena producing coastal hazards and endangering human life and occupation. While coastal response to extreme forcing conditions can be evaluated using numerical models, there is increasing need for less computationally expensive probability tools that can quickly produce results thus contributing to more effective coastal risk management. A possible response to this demand is a Bayesian Network, which relates near-shore storm conditions to their onshore flood potential and ultimately translates them to relevant impact (consequences) expressed as damage to various receptor groups. Bayesian Network can constitute a module in an early warning system or can be used as a planning tool to evaluate the long-term vulnerability due to multiple coastal hazards, under various climate-related scenarios. The present study describes the application of a Bayesian Network for Varna Bay building on developments made in the framework of the RISC-KIT (Resilience-Increasing Strategies for Coasts â€“ toolKIT) project. Moreover, several alternatives involving disaster risk reduction measures were examined both in present and future climate conditions. It was found that the analysis of results through the prism of the Bayesian Network provides a useful insight of the problems at the study site making it a reliable coastal impact prediction tool.

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Comparative Study Of Green Practices In Haryana State Universities

Think India ◽

10.26643/think-india.v22i3.8439 ◽

2019 ◽

Vol 22 (3) ◽

pp. 1008-1016

Author(s):

Priyanka ◽

Ms Ipshita Bansal

Keyword(s):

State Universities ◽

Small Cities ◽

Large Size ◽

Green Practices ◽

Size Population ◽

Multiple Case ◽

Multiple Case Studies ◽

Direct And Indirect Impacts ◽

Indirect Impacts ◽

Complex Activities

Universities in the state are regarded as ‘small cities’ due to their large size, population, and the various complex activities taking place in campuses, which have some serious direct and indirect impacts on the environment. The current study focuses on the green practices in state universities of Haryana. The comparative analysis has been done between the multiple case studies and find out the best green practices being adopted in universities for moving towards making the green campus and recommend the area of improvement for making environment sustainable campus.

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Impact of Entrepreneurship Extracurricular Activities and Inspiration on Entrepreneurial Intention: Mediator and Moderator Effect

SAGE Open ◽

10.1177/21582440211032174 ◽

2021 ◽

Vol 11 (3) ◽

pp. 215824402110321

Author(s):

Thuy Thu Nguyen ◽

Linh Thi Phuong Nguyen ◽

Hoa Thi Thanh Phan ◽

Anh Trong Vu

Keyword(s):

Extracurricular Activities ◽

Structural Equation ◽

Entrepreneurial Intention ◽

Equation Modeling ◽

Moderator Effect ◽

Technical Students ◽

Research Findings ◽

Direct And Indirect Impacts ◽

Indirect Impacts ◽

The Impact

This empirical study proposed a comprehensive model testing the direct and indirect impacts of entrepreneurship extracurricular activities and entrepreneurship inspiration on students’ entrepreneurial intention. With the sample consisting of 640 students from 11 universities in Vietnam, the study used structural equation modeling analysis approach. The results revealed that entrepreneurship extracurricular activities and entrepreneurship inspiration are significantly related to students’ entrepreneurial intention, and entrepreneurship self-efficacy partially mediates these relations. The impact of entrepreneurship education on entrepreneurial intention differs across the field of study. Technical students generally get more benefits from entrepreneurship educational activities than business and economics students do. The research findings recommended some implications for fostering graduates’ entrepreneurship in emerging countries.

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Group Facilitation on Societal Disruption and Collapse: Insights from Deep Adaptation

Sustainability ◽

10.3390/su13116280 ◽

2021 ◽

Vol 13 (11) ◽

pp. 6280

Author(s):

Jem Bendell ◽

Katie Carr

Keyword(s):

Climate Change ◽

Environmental Degradation ◽

First Person ◽

Group Facilitation ◽

Environmental Destruction ◽

Difficult Conversations ◽

Radical Uncertainty ◽

Direct And Indirect Impacts ◽

Indirect Impacts

This article synthesises the practice and rationale behind ways of facilitating gatherings on topics of societal disruption and collapse, which is argued to be useful for lessening damaging responses. The authors draw on first-person inquiry as facilitators of gatherings, both online and in person, in the post-sustainability field of ‘Deep Adaptation,’ particularly since 2018. This term describes an agenda and framework for people who believe in the probable, inevitable or unfolding collapse of industrial consumer societies, due to the direct and indirect impacts of human-caused climate change and environmental degradation. Some of the principles of Deep Adaptation facilitation are summarised, such as containment, to enable co-responsibility for a safe enough space for difficult conversations. Another key principle is welcoming radical uncertainty in response to the anxieties that people feel from their anticipation of collapse. A third principle is making space for difficult emotions, which are welcomed as a natural and ongoing response to our predicament. A fourth aspect is a curiosity about processes of othering and separation. This paper provides a review of the theories that a reason for environmental destruction is the process of othering people and nature as being less significant or meaningful. One particular modality called Deep Relating is outlined.

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A Holistic Intersection Rating System (HIRS)—A Novel Methodology to Measure the Holistic Operational Performance of Signalized Urban Intersections

Smart Cities ◽

10.3390/smartcities4030054 ◽

2021 ◽

Vol 4 (3) ◽

pp. 1018-1038

Author(s):

Wesam Emad Saba ◽

Salwa M. Beheiry ◽

Ghassan Abu-Lebdeh ◽

Mustafa S. AL-Tekreeti

Keyword(s):

Public Health ◽

Local Economy ◽

Rating System ◽

Operational Performance ◽

Community Activities ◽

Community Wellbeing ◽

Importance Index ◽

Health Community ◽

Direct And Indirect Impacts ◽

Indirect Impacts

Signalized urban intersections are key components of urban transportation networks. They are traditionally viewed and designed as primarily motorized traffic facilities, and thus their physical and operational designs have traditionally aimed at maximizing traffic throughput subject to constraints dictated by vehicular safety requirements and pedestrian crossing needs. Seen from a holistic viewpoint, urban intersections are hubs or effective centers of community activities of which traffic flow is only one. Those hubs have direct and indirect impacts on the overlapping traffic functionalities, the environment, public health, community wellbeing, and the local economy. This study proposes a new rating system, the Holistic Intersection Rating System (HIRS), aimed at appraising signalized intersections from a more inclusive viewpoint. This appraisal covers traffic functionality, sustainability, and public health and community wellbeing. This rating system can be used as a guide to conceive, plan, or design new intersections or revamp existing ones. HIRS rates signalized urban intersections based on the level of use of relevant enabling technologies, and the physical and operational designs that allow those intersections to operate holistically, thus leading to a more human-centric and sustainable operational performance. HIRS was validated using a panel of experts in construction, transportation, and public health. The Relative Importance Index (RII) method was used to weigh the HIRS features. The rating system was piloted on a sample of 20 intersections in different cities in the UAE. The results revealed glaring gaps in services to or the consideration of pedestrians, cyclists, and nearby households. The sample intersections scored a mean of 32% on the public health and community wellbeing section, 37% on the pedestrian subsection, and 15% on the cyclist subsection. Such relatively low scores serve as indicators of areas for improvements, and if mapped to their specific features and their relative weights, specific physical and operations designs and technology integration can be identified as actionable items for inclusion in plans and/or designs.

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Mutualistic strategies minimize coextinction in plant–disperser networks

Proceedings of The Royal Society B Biological Sciences ◽

10.1098/rspb.2016.2302 ◽

2017 ◽

Vol 284 (1854) ◽

pp. 20162302 ◽

Cited By ~ 15

Author(s):

Evan C. Fricke ◽

Joshua J. Tewksbury ◽

Elizabeth M. Wandrag ◽

Haldre S. Rogers

Keyword(s):

Network Structure ◽

Field Experiments ◽

Empirical Relationship ◽

Network Models ◽

Mutualistic Interactions ◽

Simulated Network ◽

Direct And Indirect Impacts ◽

Indirect Impacts ◽

The Stability ◽

Seed Dispersal Mutualism

The global decline of mutualists such as pollinators and seed dispersers may cause negative direct and indirect impacts on biodiversity. Mutualistic network models used to understand the stability of mutualistic systems indicate that species with low partner diversity are most vulnerable to coextinction following mutualism disruption. However, existing models have not considered how species vary in their dependence on mutualistic interactions for reproduction or survival, overlooking the potential influence of this variation on species' coextinction vulnerability and on network stability. Using global databases and field experiments focused on the seed dispersal mutualism, we found that plants and animals that depend heavily on mutualistic interactions have higher partner diversity. Under simulated network disruption, this empirical relationship strongly reduced coextinction because the species most likely to lose mutualists depend least on their mutualists. The pattern also reduced the importance of network structure for stability; nested network structure had little effect on coextinction after simulations incorporated the empirically derived relationship between partner diversity and mutualistic dependence. Our results highlight a previously unknown source of stability in mutualistic networks and suggest that differences among species in their mutualistic strategy, rather than network structure, primarily accounts for stability in mutualistic communities.

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Corruption, Income and Piracy. An empirical analysis

Review of Law & Economics ◽

10.1515/rle-2013-0005 ◽

2017 ◽

Vol 13 (2) ◽

Author(s):

Insaf Bekir

Keyword(s):

Direct Effect ◽

Software Piracy ◽

Empirical Examination ◽

Absolute Value ◽

Indirect Impact ◽

Direct And Indirect Impacts ◽

Using Data ◽

Indirect Impacts ◽

Positive Direct ◽

Lower Income Countries

AbstractThis paper subjects the piracy-corruption relationship to a detailed empirical examination. A distinction is drawn between the direct impact of corruption on piracy and the indirect impact which operates through corruption’s impact on per capita income and the resultant impact of income on piracy. Using data for 100 countries covering the period 1996–2010, both direct and indirect impacts of corruption on software piracy are estimated. Corruption is estimated to have a positive direct effect on the piracy rate. The indirect effect is found to be negative and smaller in absolute value than the direct effect for the majority of the sample income range. As a result, the total effect of corruption on software piracy is positive except for the lower income countries in the sample.

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