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  1. Article ; Online: Social protection in disaster risk reduction and climate change adaptation

    Irfan Ahmad Rana / Sifullah Khaled / Ali Jamshed / Adnan Nawaz

    Journal of Integrative Environmental Sciences, Vol 19, Iss 1, Pp 65-

    A bibliometric and thematic review

    2022  Volume 83

    Abstract: ABSTRACTSocial protection has emerged as a strategy to minimize climate change impacts by building the resilience of vulnerable communities. It is increasingly being used in disaster risk reduction and climate change adaptation. This study reviews the ... ...

    Abstract ABSTRACTSocial protection has emerged as a strategy to minimize climate change impacts by building the resilience of vulnerable communities. It is increasingly being used in disaster risk reduction and climate change adaptation. This study reviews the role of social protection in the scientific literature through bibliometric and thematic analysis. Web of Science database was used to retrieve the articles using selected keywords. Historical growth, citations, keywords, and country analyses were used to perform the bibliometric review. Thematic analysis was used to identify themes pertaining to social protection, disaster risk reduction, and climate change adaptation. Publications have increased over the past decade, and 142 texts from various disciplines were retrieved. The co-occurrence of keywords revealed that resilience, adaptation, and vulnerability are used in the scientific literature. The shortlisted themes investigated the role of social protection and its interventions for supporting livelihoods, assisting in food security, and disaster recovery. Social protection is emphasized as a tool for vulnerability reduction and building resilience. Literature confirms the crosscutting and multidisciplinary implications of social protection in the domains of climate change adaptation and disaster risk reduction.
    Keywords Poverty ; safety nets ; resilience ; social assistance ; vulnerability ; Environmental sciences ; GE1-350
    Subject code 001
    Language English
    Publishing date 2022-12-01T00:00:00Z
    Publisher Taylor & Francis Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Multidimensional poverty vis-à-vis climate change vulnerability

    Irfan Ahmad Rana / Muhammad Mubashir Khan / Rida Hameed Lodhi / Shahbaz Altaf / Adnan Nawaz / Fawad Ahmed Najam

    World Development Sustainability, Vol 2, Iss , Pp 100064- (2023)

    Empirical evidence from flood-prone rural communities of Charsadda and Nowshera districts in Pakistan

    2023  

    Abstract: Pakistan is among the top five countries that have been severely impacted by extreme weather events. Its population, a majority of which is poor, is highly vulnerable to the adverse effects of climate change. This study aims to examine the correlation ... ...

    Abstract Pakistan is among the top five countries that have been severely impacted by extreme weather events. Its population, a majority of which is poor, is highly vulnerable to the adverse effects of climate change. This study aims to examine the correlation between multidimensional poverty and climate change vulnerability in the rural areas of the Nowshera and Charsadda districts of the Khyber Pakhtunkhwa province. Data were collected from 452 households through a pre-tested questionnaire that assessed poverty and climate change vulnerability. The multidimensional poverty index, based on the United Nations Development Programme and Oxford Poverty and Human Development Initiative, was used to determine poverty levels, while the livelihood and climate change vulnerability indices were developed to quantify the level of climate change vulnerability. The results of the study revealed that half of the population in the study area falls below the multidimensional poverty threshold. Nowshera had a higher number of multidimensionally poor people, and the intensity of poverty was greater than in Charsadda. Nowshera was found to be more deprived in all three dimensions of poverty, i.e., education, health, and standard of living. However, in terms of climate change vulnerability, Charsadda lagged behind in the dimensions of livelihood strategies, social networks, socio-demographic profiles, and food. On the other hand, Nowshera was found to be more vulnerable in the dimensions of natural assets, financial assets, and health. Overall, the results showed that Nowshera was more vulnerable to floods compared to Charsadda. The study found a strong positive correlation between the multidimensional poverty index and the climate change vulnerability indices, implying a close relationship between the two concepts.
    Keywords Capability approach ; Disaster risk reduction ; Climate change adaptation ; Economic growth ; development ; planning ; HD72-88 ; Environmental sciences ; GE1-350
    Subject code 333
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Influence of Recycled Plastic Incorporation as Coarse Aggregates on Concrete Properties

    Khawar Ali / Panumas Saingam / Muhammad Irshad Qureshi / Shahzad Saleem / Adnan Nawaz / Tahir Mehmood / Ahsen Maqsoom / Muhammad Waqas Malik / Suniti Suparp

    Sustainability, Vol 15, Iss 5937, p

    2023  Volume 5937

    Abstract: Plastic waste has increased significantly in recent years as a result of fast population growth and urbanization. Studies on the incorporation of plastic aggregates as a substitution for natural aggregates in concrete are needed to successfully reduce ... ...

    Abstract Plastic waste has increased significantly in recent years as a result of fast population growth and urbanization. Studies on the incorporation of plastic aggregates as a substitution for natural aggregates in concrete are needed to successfully reduce both adverse environmental impact and the depletion of natural resources. The objective of this research was to investigate the use of plastic as a partial substitution for natural coarse aggregates in concrete. For this purpose, seven concrete mixes were produced using 0, 10, 15, and 20% plastic coarse aggregates to replace natural aggregates with and without silica fume of similar replacement levels with cement. Fresh density, workability, compressive strength, splitting tensile strength, stress–strain response, and Poisson’s ratio were observed to study the fresh as well as hardened properties of concrete mixtures. Indoor and outdoor thermal performance and thermo-gravimetric analysis were also investigated. The results revealed that the plastic aggregates’ incorporation improved the workability of concrete; however, it negatively influenced the fresh density and mechanical properties of concrete. The compressive and tensile strengths of plastic aggregate concrete without silica fume were reduced by 32 and 33%, respectively. The reduction in strength could be associated with the smooth texture of plastic aggregates. The addition of silica fume with plastic aggregates resulted in denser concrete and improved mechanical properties. In general, the performance of plastic aggregates as a partial replacement for natural aggregates was satisfactory, which suggests their possible use to produce eco-friendlier concrete.
    Keywords plastic waste ; sustainability ; silica fume ; stress–strain behavior ; thermal performance ; recycling ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 690
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Using Multivariate Regression and ANN Models to Predict Properties of Concrete Cured under Hot Weather

    Ahsen Maqsoom / Bilal Aslam / Muhammad Ehtisham Gul / Fahim Ullah / Abbas Z. Kouzani / M. A. Parvez Mahmud / Adnan Nawaz

    Sustainability, Vol 13, Iss 10164, p

    2021  Volume 10164

    Abstract: Concrete is an important construction material. Its characteristics depend on the environmental conditions, construction methods, and mix factors. Working with concrete is particularly tricky in a hot climate. This study predicts the properties of ... ...

    Abstract Concrete is an important construction material. Its characteristics depend on the environmental conditions, construction methods, and mix factors. Working with concrete is particularly tricky in a hot climate. This study predicts the properties of concrete in hot conditions using the case study of Rawalpindi, Pakistan. In this research, variable casting temperatures, design factors, and curing conditions are investigated for their effects on concrete characteristics. For this purpose, water–cement ratio ( w / c ), in-situ concrete temperature ( T ), and curing methods of the concrete are varied, and their effects on pulse velocity ( PV ), compressive strength ( fc ), depth of water penetration ( WP ), and split tensile strength ( ft ) were studied for up to 180 days. Quadratic regression and artificial neural network (ANN) models have been formulated to forecast the properties of concrete in the current study. The results show that T , curing period, and moist curing strongly influence fc , ft , and PV , while WP is adversely affected by T and moist curing. The ANN model shows better results compared to the quadratic regression model. Furthermore, a combined ANN model of fc , ft , and PV was also developed that displayed higher accuracy than the individual ANN models. These models can help construction site engineers select the appropriate concrete parameters when concreting under hot climates to produce durable and long-lasting concrete.
    Keywords artificial neural network ; concrete properties ; hot climate ; regression analysis ; Rawalpindi Pakistan ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 690
    Language English
    Publishing date 2021-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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