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Article Citation - WoS: 52Citation - Scopus: 63What Is That Thing Called Climate Change? an Investigation Into the Understanding of Climate Change by Seventh-Grade Students(Routledge Journals, Taylor & Francis Ltd, 2014) Ozdem, Yasemin; Dal, Burckin; Ozturk, Nilay; Sonmez, Duygu; Alper, UmutThis paper presents findings from research on students' general environmental concerns, experiences, beliefs, attitudes, worldviews, values, and actions relating to climate change. Data was gathered from a sample of 646 seventh-grade students. The findings indicate that students identify climate change as a consequence of modern life. They consider the issue personally important but they also state that there is nothing they can do about the issue. Since they identify their primary sources of information as media and education, climate change should be addressed in national curricula as well as on media to provide an accurate understanding and awareness.Article Citation - WoS: 6Citation - Scopus: 6Model-Driven Engineering and Creative Arts Approach To Designing Climate Change Response System for Rural Africa: a Case Study of Adum-Aiona Community in Nigeria(Politechnika Lubelska, 2017) Okewu, Emmanuel; Misra, Sanjay; Okewu, Jonathan; Computer EngineeringExperts at the just concluded climate summit in Paris (COP21) are unanimous in opinion that except urgent measures are taken by all humans, average global temperature rise would soon reach the deadly 2 degrees C mark. When this happens, socio-economic livelihoods, particularly in developing economies, would be dealt lethal blow in the wake of associated natural causes such as increased disease burden, soil nutrient destruction, desertification, food insecurity, among others. To avert imminent dangers, nations, including those from Africa, signed a legally binding universally accepted climate control protocol to propagate and regulate environmentally-friendly behaviours globally. The climate vulnerability of Africa as established by literature is concerning. Despite contributing relatively less than other continents to aggregate environmental injustice, the continent is projected to bear the most brunt of environmental degradation. This is on account of her inability to put systems and mechanisms in place to stem consequences of climate change. Hence, our resolve to use a combination of scientific and artistic models to design a response system for tackling climate challenges in Africa. Our model formulation encompasses computational model and creative arts model for drawing attention to environmentally friendly behaviours and climate adaptation and mitigation strategies. In this work, we focus on rural Africa to share experience of climate change impact on agriculture mainstay of rural African economy. We examine the carbon footprints of a rural community in Nigeria the Adum-Aiona community as case study and for industrial experience. The authors will provide operational data to substantiate claims of existential threats posed by greenhouse gas (GHG) generation on livelihoods of rural dwellers. The study will also design and test a Climate Change Response System (CCRS) that will enable people to adapt and reduce climate change impact. To achieve the research objective, the researchers will review literature, gather requirements, model the proposed system using Unified Modelling Language (UML), and test CCRS statically. We expect that the implementation of the proposed system will enable people mitigate the effects of, and adapt to, climate change-induced socio-economic realities. This is besides the fact that the empirical data provided by the study will help clear doubts about the real or perceived threats of climate change. Finally, the industrial experience and case study we share from Africa using model-driven engineering approach will scale up the repository of knowledge of both climate change research and model-driven engineering community.Article Citation - WoS: 23Citation - Scopus: 30A Model for Pre-Service Teachers' Climate Change Awareness and Willingness To Act for Pro-Climate Change Friendly Behavior: Adaptation of Awareness To Climate Change Questionnaire(Routledge Journals, Taylor & Francis Ltd, 2015) Dal, Burckin; Alper, Umut; Ozdem-Yilmaz, Yasemin; Ozturk, Nilay; Sonmez, DuyguPublic awareness of the negative effects of climate change is vital since it leads to collective action for prevention and adaptation. However, investigations on to what extent people are aware of the climate change issue are rare in the literature. The present study reported the adaptation process of awareness to climate change questionnaire into Turkish, and tested the conceptual model of willingness to act for pro-climate change friendly behavior in Turkish context. For these purposes, the questionnaire was administered to 603 pre-service teachers. The study also provided an insight through the analysis of the questionnaire for pre-service teachers' ideas about climate change and the terms related to climate change with an aim to provide information that can be useful for the international and national audiences. Therefore, the findings of the project shed light on to pre-service teachers' awareness regarding impacts of climate change, individual and industry initiative friendly behavior through a conceptual model.Article Citation - WoS: 11Citation - Scopus: 16Deep Neural Networks for Curbing Climate Change-Induced Farmers-Herdsmen Clashes in a Sustainable Social Inclusion Initiative(Politechnika Lubelska, 2019) Okewu, Emmanuel; Misra, Sanjay; Fernandez Sanz, Luis; Ayeni, Foluso; Mbarika, Victor; Damasevicius, Robertas; Computer EngineeringPeaceful coexistence of farmers and pastoralists is becoming increasingly elusive and has adverse impact on agricultural revolution and global food security. The targets of Sustainable Development Goal 16 (SDG 16) include promoting peaceful and inclusive societies for sustainable development, providing access to justice for all and building effective, accountable and inclusive institutions at all levels. As a soft approach and long term solution to the perennial farmers herdsmen clashes with attendant humanitarian crisis, this study proposes a social inclusion architecture using deep neural network (DNN). This is against the backdrop that formulating policies and implementing programmes based on unbiased information obtained from historical agricultural data using intelligent technology like deep neural network (DNN) can be handy in managing emotions. In this vision paper, a DNN-based Farmers-Herdsmen Expert System (FHES) is proposed based on data obtained from the Nigerian National Bureau of Statistics for tackling the incessant climate change induced farmers-herdsmen clashes, with particular reference to Nigeria. So far, many lives have been lost. FHES is modelled as a deep neural network and trained using farmers-herdsmen historical data. Input variables used include land, water, vegetation, and implements while the output is farmers/herders disposition to peace. Regression analysis and pattern recognition performed by the DNN on the farmers-herdsmen data will enrich the inference engine of FHES with extracted rules (knowledge base). This knowledge base is then relied upon to classify future behaviours of herdsmen/farmers as well as predict their dispositions to violence. Critical stakeholders like governments, service providers and researchers can leverage on such advisory to initiate proactive and socially inclusive conflict prevention measures such as, people-friendly policies, programmes and legislations. This way, conflicts can be averted, national security challenges tackled, and peaceful atmosphere guaranteed for sustainable development.Article Citation - WoS: 10Citation - Scopus: 9Current Issues in and an Emerging Method for Flood Frequency Analysis Under Changing Climate(Jshwr, Jagh, Jahs, Jsph, 2017) Kavvas, M. Levent; Ishida, Kei; Trinh, Toan; Ercan, Ali; Darama, Yakup; Carr, Kara J.In this study several issues with the standard flood frequency analysis are discussed in the context of a changing hydro-climate in the 21st century. Among these issues the loss of statistical equilibrium in the hydro-climate of a studied region during the 21st century has serious implications on the standard frequency analysis that is discussed in some detail. An alternative method to flood frequency analysis within the framework of a changing climate based on ensemble of future climate projections is reported and demonstrated by a numerical application to a target watershed.Article Citation - WoS: 4Unraveling the Major Determinants Behind Price Changes in Four Selected Representative Agricultural Products(Mdpi, 2024) Aktepe, Nisa Sansel Tandogan; Kayral, Ihsan ErdemThis study aims to analyze the drivers behind price changes in agricultural products in T & uuml;rkiye from 2002 to 2021, considering the impacts of three crises of different causes which are the global food crisis, the Russia-T & uuml;rkiye aircraft crisis, and the COVID-19 pandemic. The potential factors are categorized into four subgroups: governmental effects, agricultural inputs, macroeconomic indicators, and climatic conditions. The selected agricultural goods for price change measurement include wheat and maize representing subsistence goods, and olive oil and cotton as marketing goods. The autoregressive distributed lag (ARDL) model is applied to observe both the short- and long-term impacts of the variables on price developments. The results suggest that government effectiveness, regulatory quality, nitrogen use, water price, money supply, exchange rate, and GDP under the related categories are the most effective factors in price changes. Among the variables under the category of climatic conditions, significant values are obtained only in the analysis of the temperature impact on olive oil. The analysis also reveals the variable impact of crises on the prices of the chosen products, depending on the goods involved. The maize and wheat analyses yield particularly noteworthy results. In the long run, nitrogen use demonstrates a substantial positive impact, registering at 29% for wheat and 19.47% for maize, respectively. Conversely, GDP exhibits a significant negative impact, with 26.15% and 20.08%. Short-term observations reveal that a unit increase in the governmental effect leads to a reduction in inflation for these products by 17.01% and 21.42%. However, changes in regulatory quality result in an increase in inflation by 25.45% and 20.77% for these products, respectively.
