Assessment of living quality in Guangdong: A hybrid knowledge-based and data-driven approach DOI Creative Commons

Xin-Hui Zhou,

Shui‐Long Shen

Ecological Informatics, Journal Year: 2024, Volume and Issue: 82, P. 102745 - 102745

Published: Aug. 2, 2024

Air, water, and radiation in urban living environments are crucial factors affecting human health, societal well-being, sustainable development. This study developed a novel hybrid knowledge-based data-driven approach for analyzing air, monitoring data to assess the quality of natural (ULNEQ) Guangdong Province. Fuzzy set-pair analysis was employed preprocessing, effectively incorporating domain knowledge into raw data. Then, hierarchical clustering algorithm utilized evaluate ULNEQ level. The proposed enhanced interpretability optimized process, yielding more robust reliable analytical results. results revealed diverse environmental landscape across province, with Heyuan Meizhou consistently maintaining high standards, whereas Dongguan Jieyang exhibited notably poor conditions, ranking at Level IV or V over 72% observed months. Key such as monthly average concentration ozone (0.56), city water index (0.49), proportion days standard air (PDSAQ) (−0.39) significantly influenced ULNEQ, PDSAQ showing negative correlation. Notably, province-wide observation June 2022 showed all cities ULEQ gradings II better. innovative can be adapted enhance management control ULNEQ.

Language: Английский

Integrating risk zoning and multifactor analysis: A strategic approach to ecological carbon sink management DOI Creative Commons

Lin Wang,

Junsan Zhao, Dong Ai

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 82, P. 102671 - 102671

Published: June 12, 2024

Ecological carbon sinks play a crucial role in global cycling and climate mitigation, making their effective management essential. This study develops novel risk zoning multifactor analysis framework for ecological sink Yunnan Province, China, region recognized its diversity sequestration potential. Our results reveal that high-priority zones, mainly the southwest western regions, cover 20% of total area contain over 60% province's stocks. In contrast, high-risk primarily urbanized show reduction sequestration, with emissions exceeding 25.7 million kg due to urban development landscape degradation. The delineated five distinct zones; urgent intervention control priority restoration long-term conservation integrated zones. Notably, while representing just 9.6% area, are critical protecting 40% comprehensive framework, combining principal component canonical correspondence (PCA-CCA), effectively integrates indicators, socio-economic factors, natural elements. innovative, data-driven approach offers strategic insights into managing balancing integrity socioeconomic needs, providing replicable model ecosystem management.

Language: Английский

Citations

5

The construction of shelterbelts along the desert highway has increased the carbon sequestration capacity of the Taklimakan Desert, China DOI Creative Commons
Ali Mamtimin, Kun Zhang,

Hajigul Sayit

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103027 - 103027

Published: Jan. 1, 2025

Language: Английский

Citations

0

Research on Atlantic surface pCO2 reconstruction based on machine learning DOI Creative Commons
Jiaming Liu, Jie Wang,

Xun Wang

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103094 - 103094

Published: March 1, 2025

Language: Английский

Citations

0

Impact of planned urban development on urban heat island effect: resilient cities for a sustainable future DOI

K. S. Arunab,

Aneesh Mathew

Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 8, 2025

Language: Английский

Citations

0

Direct and Indirect Impacts of Urbanization on Biodiversity Across the World’s Cities DOI Creative Commons

Naiyi Liu,

Zihan Liu,

Yun‐He Wu

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(6), P. 956 - 956

Published: March 8, 2025

Biodiversity has important implications for the sustainable development of cities. Given paucity ground-based experiments, responses biodiversity to urbanization and its associated controls on a global scale remain largely unexplored. We present novel conceptual framework quantifying direct indirect impacts in 1523 cities worldwide using 100 m grid intactness index data (2017–2020) as proxy biodiversity. The results show pervasive positive impact cities, with mean 24.85 ± 9.97% 16.18 10.92%, respectively. is relatively large highly urbanized eastern United States, Western Europe, Middle East. predominantly influenced by intensity, population density, background climate. correlation between intensity most pronounced across all climate zones, while other driving variables influencing effect exhibited considerable variations. Furthermore, our findings indicate that are conditions Our have understanding future urban

Language: Английский

Citations

0

A Remote Sensing Approach to Spatiotemporal Analysis of Land Surface Temperature in Response to Land Use/Land Cover Change via Cloud Base and Machine Learning Methods, Case Study: Sari Metropolis, Iran DOI
Zinat Komeh, Saeid Hamzeh, Hadi Memarian

et al.

International Journal of Environmental Research, Journal Year: 2025, Volume and Issue: 19(3)

Published: March 17, 2025

Language: Английский

Citations

0

Integrating RS and GIS Techniques for Enhanced Natural Resource Management: A Comprehensive SWAT Model Approach DOI

T. M. Sharannya

Springer geography, Journal Year: 2025, Volume and Issue: unknown, P. 721 - 733

Published: Jan. 1, 2025

Language: Английский

Citations

0

Modeling and assessing spatial and temporal changes in recent agricultural land-use in Ben Tre province, Vietnam DOI
Bui Bao Thien, Vu Thi Phuong

Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 83(12)

Published: May 31, 2024

Language: Английский

Citations

2

Unveiling Climate–Land Use and Land Cover Interactions on the Kerch Peninsula Using Structural Equation Modeling DOI Open Access
Денис Кривогуз,

Elena Bespalova,

Anton Zhilenkov

et al.

Climate, Journal Year: 2024, Volume and Issue: 12(8), P. 120 - 120

Published: Aug. 12, 2024

This paper examines the effects of climatic factors, specifically temperature and precipitation, on land use cover (LULC) Kerch Peninsula using structural equation modeling (SEM). The Normalized Difference Vegetation Index (NDVI) was used as a mediator in model to accurately assess impact climate change vegetation subsequent LULC dynamics. results indicate that exerts significant negative influence early periods, inducing stress leading degradation. However, this diminishes over time, possibly due ecosystem adaptation implementation resilient management practices. In contrast, precipitation LULC, which is initially minimal, increases significantly, highlighting need for improved water resource measures mitigate excessive moisture. NDVI plays crucial mediating role, reflecting health density response variables. An analysis lagged shows both exert delayed underscoring complexity dynamics responses conditions. These have important practical implications strategies. Understanding nuanced interactions between factors can inform development agricultural systems, optimized practices, effective planning. Future research should focus refining models incorporate nonlinear interactions, improving data accuracy, expanding geographic scope generalize findings. study highlights importance continuous monitoring adaptive develop sustainable practices withstand challenges change.

Language: Английский

Citations

2

The Kerch Peninsula in Transition: A Comprehensive Analysis of Land Use and Land Cover Changes Over Thirty Years DOI Open Access
Денис Кривогуз

Published: April 8, 2024

This study presents an in-depth analysis of land use and cover change on the Kerch Peninsula over a period spanning three decades. Utilizing convolutional neural networks alongside satellite imagery analysis, we have mapped quantified changes in cover, revealing significant trends transformations within peninsula's landscape. The research aims to elucidate interplay between anthropogenic activities, climatic variations, policy interventions shaping dynamics, thereby providing insights into environmental socio-economic impacts these changes. Our findings indicate marked increase urban expansion at expense natural ecosystems, including forests wetlands, underscoring urgent need for sustainable management strategies. highlights role agricultural intensification altering ecological balance emphasizes critical importance integrating prediction. By leveraging advanced remote sensing GIS technologies, our not only enhances understanding complex dynamics driving but also showcases potential predictive modeling forecasting future scenarios. implications this extend beyond Peninsula, offering valuable lessons managing conserving landscapes similar regions globally.

Language: Английский

Citations

1