Energy Carbon Emission Reduction Based on Spatiotemporal Heterogeneity: A County-Level Empirical Analysis in Guangdong, Fujian, and Zhejiang

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 3218 - 3218

Published: April 4, 2025

Guangdong, Fujian, and Zhejiang (GFZ), located on China’s southeast coast, have long been economically active rapidly growing provinces in China. However, the rising energy consumption these poses a major challenge to their carbon emissions reduction. Due spatial variation natural environment socio-economic activities, (ECEs) reduction may vary among counties. The matter of scientifically formulating localized paths has therefore become critical issue. This study proposed novel path analysis framework based exploring spatiotemporal heterogeneity using statistic model (i.e., weighted regression). path’s learning procedure was linking changes amount ECEs shifts dominant factors, which were detected through local significance tests coefficients STWR. To verify its effectiveness, we conducted county-level empirical considering four drivers population (P), impervious surfaces (I), proportion secondary industry (manufacturing, M), tertiary (services, S)) GFZ from 2014 2021. show two different trends that be affected by COVID-19 pandemic economic recession; hence, divided them into periods: an period (2014–2018) stable (2018–2021). Many interpretable occurrences derived our results, including following: (1) P S showed higher sensitivity compared with I M. Most counties (more than 50%) dominated P, but dominator shift I, M, during period. S-dominated reverted being P-dominated ones (2) For period, most significant paths, M+ → S− P+ (+/− denotes positive or negative impacts driver), reduced about 7.747 × 105 tons 3.145 tons, respectively. Meanwhile, worst path, S+ P+, increased nearly 1.186 106 tons. (3) best (S+ I+) significantly 1.122 while M− I+ 1.978 4.107 ×105 These findings effectiveness further highlight need for tailored, region-specific policies achieve goals.

Language: Английский

Spatial Impact of Rural Landscape Pattern on Ecosystem Service in Hangzhou

Landscape Architecture, Journal Year: 2025, Volume and Issue: 32(4), P. 125 - 132

Published: April 1, 2025

Language: Английский

Exploring the Environmental Effects of Urbanization in Monrovia

European Journal of Theoretical and Applied Sciences, Journal Year: 2024, Volume and Issue: 2(3), P. 1117 - 1130

Published: May 1, 2024

Monrovia, the capital city of Liberia, is undergoing rapid urbanization, leading to significant ecological and environmental challenges. This study aims investigate temporal spatial changes in urbanization their impact on environment Monrovia from 2015 2023. Utilizing Landsat satellite images, OpenStreetMap data, AQICN atmospheric particulate data (PM2.5 PM10). We analyzed urban patterns, building dynamics, traffic networks, population growth. Our methodological approach involved analysis comparisons assess land use consequences. findings indicate substantial changes, with a notable increase residential areas at expense natural agricultural lands, resulting habitat fragmentation biodiversity loss. Economic growth central business district has exacerbated degradation, while expanded road networks have increased surface runoff fragmentation. Air quality shows rising levels PM2.5 PM10, posing health risks residents. Additionally, reduction water bodies forest cover degraded heightened flood risks. underscores urgent need for sustainable planning practices, including adoption renewable energy sources, emission control technologies, enhanced air monitoring. Furthermore, community-based approaches citizen science activities are essential engaging local residents pollution monitoring advocacy, fostering partnerships development Monrovia. research highlights critical integrated strategies mitigate adverse effects public health.

Language: Английский