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        <title>Latest Articles from Journal of the Bulgarian Geographical Society</title>
        <description>Latest 3 Articles from Journal of the Bulgarian Geographical Society</description>
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            <title>Latest Articles from Journal of the Bulgarian Geographical Society</title>
            <link>https://jbgs.arphahub.com/</link>
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		    <title>Integrating spatial risk analysis into sustainable territorial development: A complex approach in the context of the Shaki-Zagatala economic region</title>
		    <link>https://jbgs.arphahub.com/article/159882/</link>
		    <description><![CDATA[
					<p>Journal of the Bulgarian Geographical Society 53: 157-186</p>
					<p>DOI: 10.3897/jbgs.e159882</p>
					<p>Authors: Samira Alakbarova</p>
					<p>Abstract: Strengthening the interrelations between spatial risk analysis and sustainable territorial development has emerged in recent years as one of the key directions in geographical and socio-economic research. This study employs a complex approach to ensure the integration of spatial risk factors into sustainable territorial development processes. The Shaki-Zagatala economic region of the Republic of Azerbaijan was selected as the pilot area within the framework of the research. In the contemporary context of increasing natural and technogenic risks, global climate change, and the growing complexity of socio-economic and territorial development processes, the importance of spatial risk analysis and management defines the relevance of this research. This study investigates the spatio-temporal dynamics of natural-technological processes occurring between 1950 and 2024 in the six administrative districts (Shaki, Zagatala, Gabala, Balaken, Oghuz, and Gakh) of the Shaki-Zagatala economic region. Statistical analyses are conducted to explore the relationship between population density and the intensity of natural-technological disasters. By applying a combination of advanced spatial-statistical methods, such as the Moran&rsquo;s I, Getis-Ord Gi* and Analytic Hierarchy Process, the study aims to evaluate the correlation between population density and disaster frequency, identifying high-risk areas and their temporal patterns. In the presented article, as a result of the complex studies conducted to achieve the set objectives, a map of the spatial distribution of natural disaster risks in the Shaki-Zagatala economic region has been developed. The results obtained allow for the identification of the area&rsquo;s risk profile and the establishment of key priorities for long-term growth. A strategic planning model has been developed based on the identified opportunities and challenges in the field of sustainable territorial development.</p>
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		    <category>Research Article</category>
		    <pubDate>Thu, 30 Oct 2025 11:00:00 +0000</pubDate>
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		    <title>Optimization of urban morphology to enhance outdoor thermal comfort: A microclimate analysis</title>
		    <link>https://jbgs.arphahub.com/article/128961/</link>
		    <description><![CDATA[
					<p>Journal of the Bulgarian Geographical Society 51: 107-130</p>
					<p>DOI: 10.3897/jbgs.e128961</p>
					<p>Authors: Hanene Guergour, Mohammed Cheraitia, Assoule Dechaicha, Djamel Alkama</p>
					<p>Abstract: Climate-aware urban environments pose a significant imperative to obtain thermally comfortable outdoor areas. The present study addresses the optimization of urban block morphology in Guelma City, Algeria, to enhance thermal performance in a semi-arid climate. Using in-situ measurements and simulation generated by the ENVI-met simple forcing scheme, the impact of urban morphology on the variation of outdoor comfort factors, including air temperature, relative humidity, and wind speed  arameters, is identified. The conducted investigation illustrates building configuration, orientation, and street canyon geometry as key indices affecting thermal comfort. Results pointed out urban green cover&rsquo;s role in mitigating heat island effects. In conclusion, the study underscored the significance of an interconnected analysis of urban patterns and heir correlated influence on urban microclimate for achieving thermally comfortable outdoor environments.</p>
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		    <category>Research Article</category>
		    <pubDate>Thu, 17 Oct 2024 17:10:00 +0000</pubDate>
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		    <title>Assessing temperature warming and cooling rates using simple statistical analysis: The case study of Jalingo metropolis</title>
		    <link>https://jbgs.arphahub.com/article/110454/</link>
		    <description><![CDATA[
					<p>Journal of the Bulgarian Geographical Society 49: 43-51</p>
					<p>DOI: 10.3897/jbgs.e110454</p>
					<p>Authors: Patrick Sunday Asa, Ambrose Audu Zemba</p>
					<p>Abstract: Urban climatologist particularly those interested in Urban Heat Island (UHI), require some form of explanations to UHI variations at both spatial and temporal scales in cities. Temperature cooling and warming rate can be use as a form of explanations for spatial and temporal variations for UHI intensity characteristics of an area. This study therefore, assessed variations in temperature warming and cooling rates in Jalingo. The study used temperature data collected at six locations representing six different thermal climate zones in the study area. Temperature data were collected for the period of 90 days thirty days in each of rainy season, dry season, and hamattan period. Simple statistical analysis was performed to determine the warming and cooling rates. The results indicate that temperature warm and cool differently in the study area. The results also revealed that general warming in the area within the study period begins at 8:00 h local time (GMT +1) with warming rate ranging from 0.94&deg;C to 1.75&deg;C across locations with a mean of 1.30&deg;C. Cooling starts at 15:00 h ranging from -0.88&deg;C to -1.84&deg;C with an average of -1.48&deg;C. It is recommended that environmental planners particularly the urban planners and Architectures should take into considerations the warming and cooling rates in their building design and also embrace appropriate landscaping to improve thermal comfort.</p>
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		    <category>Research Article</category>
		    <pubDate>Tue, 31 Oct 2023 15:00:00 +0000</pubDate>
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