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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: A Conceptual Framework to Understand the Dynamics of Rural–Urban Linkages for Rural Flood Vulnerability

    Ali Jamshed / Joern Birkmann / Daniel Feldmeyer / Irfan Ahmad Rana

    Sustainability, Vol 12, Iss 2894, p

    2020  Volume 2894

    Abstract: Rural areas are highly vulnerable to floods due to limited social, economic, and physical resources. Understanding rural vulnerability is vital for developing effective disaster risk reduction strategies. Even though rural areas and cities are ... ...

    Abstract Rural areas are highly vulnerable to floods due to limited social, economic, and physical resources. Understanding rural vulnerability is vital for developing effective disaster risk reduction strategies. Even though rural areas and cities are intrinsically linked, rural vulnerability was assessed without considering its relation to cities. Numerous theoretical frameworks on systemizing and assessing vulnerability were developed with varying level of scope and depth in terms of scale, dimensions, and components. Nevertheless, these frameworks did not explicitly mention the impact of flood or other hazards on the linkages between spatial units i.e., rural and urban. This study aims to understand and conceptualize the rural vulnerability with respect to the dynamics of rural–urban linkages in the case of flood events. To do so, current literature on rural–urban linkages, vulnerability, as well as factors that influence them were critically reviewed. Taking into account the main elements of rural–urban linkages (flow of people, information, finances, goods and services), components of vulnerability (exposure, susceptibility, and capacity), and factors (social, economic, institutional, infrastructural, spatial, and environmental), a unified framework is proposed. The framework underscores that the role of rural–urban linkages is essential to fully understand rural flood vulnerability. Moreover, the framework highlights the role of spatial factors—city size and proximity to the city—as crucial to comprehend rural vulnerability. This framework can be used as a tool for understanding multifaceted rural vulnerability for climate change adaptation and disaster risk reduction considering spatial development perspective. In this context, empirical investigations can be made to validate the proposed framework and policies can be introduced accordingly. Overall, the proposed framework can help recognize concepts and links of vulnerability, rural–urban dependencies, and rural development dynamics.
    Keywords disaster risk ; holistic approach ; rural–urban relationships ; regional development ; vulnerability dynamics ; rural flooding ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 910 ; 720
    Language English
    Publishing date 2020-04-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Estimation of Water Balance for Anticipated Land Use in the Potohar Plateau of the Indus Basin Using SWAT

    Muhammad Idrees / Shakil Ahmad / Muhammad Wasif Khan / Zakir Hussain Dahri / Khalil Ahmad / Muhammad Azmat / Irfan Ahmad Rana

    Remote Sensing, Vol 14, Iss 5421, p

    2022  Volume 5421

    Abstract: Land Use/Land Cover (LU/LC) change is among the dominant driving factors that directly influence water balance by transforming hydrological responses. Consequently, a thorough comprehension of its impacts is imperative for sustainable water resource ... ...

    Abstract Land Use/Land Cover (LU/LC) change is among the dominant driving factors that directly influence water balance by transforming hydrological responses. Consequently, a thorough comprehension of its impacts is imperative for sustainable water resource planning and development, notably in developing worlds such as Pakistan, where agriculture is a major livelihood. This research intends to assess the continuing changes in LU/LC and evaluate their probable repercussions on the hydrological regime of the Potohar Plateau. The maximum likelihood classification (MLC) algorithm for land use classification of the high-resolution satellite imageries, the Cellular-Automata Markov Chain Model (CA-MCM) for the projection of LU/LC maps, and the Soil and Water Assessment Tool (SWAT) in tandem with SWAT-CUP for hydrological modeling were employed in this research. The high-resolution climatic dataset (10 × 10 km) was used in SWAT. The LU/LC analysis revealed a continual propagation of agricultural and built-up lands at the detriment of forest and barren land during the last three decades, which is anticipated to continue in the future, too. Hydrological model calibrations and validations were performed on multi-basins, and the performance was evaluated using different statistical coefficients, e.g., the coefficient of determination (R 2 ), Nash–Sutcliffe Efficiency (NSE), Kling–Gupta Efficiency (KGE), and Percent Bias (PBIAS). The results yielded that the model performed very well and demonstrated the model’s robustness in reproducing the flow regime. The water balance study revealed that the anticipated LU/LC changes are projected to decrease the mean annual surface runoff, water yield, and streamflow due to an increase in percolation, lateral flow, sub-surface flow, and evapotranspiration. More significant variations of the water balance components were observed at the sub-basin level, owing to the heterogeneous spatial distribution of LU/LC, than at the basin level. The outcome of this study will provide pragmatic details to ...
    Keywords LU/LC ; MLC ; CA-Markov ; SWAT ; Potohar Plateau ; water balance ; Science ; Q
    Subject code 550
    Language English
    Publishing date 2022-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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