Global Climate Change Exacerbates Socioeconomic Drought Severity Across Vegetation Zones During 1901–2018 by Qianfeng Wang, Xiaofan Yang, Yanping Qu, Han Qiu, Yiping Wu, Junyu Qi, Hongquan Song, Yu Chen, Huaqiang Chu, Jingyu Zeng

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Impacts of long-range transport of aerosols and biomass burning smoke from the Bay of Bengal to the Indian Ocean by Benjamin de Foy, Noora Khaleel, Thameem Abdul Razzaq, Md Firoz Khan, Siti Jariani Mohd Jani, Michael H Bergin, James J Schauer

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Nighttime PM_2.5 Concentration Estimation Based on NPP-VIIRS and Interpretable Machine Learning: The Case of Beijing–Tianjin–Hebei Region by Tong Li, Bo Li, Zhihua Han, Wenhao Zhang, Xiufeng Yang

“…The Shapley additive explanation model was applied to analyze the effect curves of different predictors on nighttime PM_2.5 to examine the contributions of various factors. …”
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Development of a Predictive Model for Estimating Stocks of Medicinal Plants Using GIS Tools on the Example of the Middle Urals by A. Yu. Turyshev, V. D. Belonogova, V. G. Luzhanin

“…The use of geographical information systems as a methodological basis will make it possible to map the areas of medicinal plants, to analyze plant communities not only for the territory of the Middle Urals at a high scientific level [1, 4].Aim. …”
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Global prevalence of compound heatwaves from 1980 to 2022 by Kun Zhang, Jin-Bao Li, Michael Kwok-Po Ng, Zheng-Fei Guo, Amos P.K. Tai, Shu-Wen Liu, Xiao-Rong Wang, Jie Zhang, Jin Wu

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Pooling the complex survey data across the 64 lower and middle-income countries: A study on antibiotic usage in under-five children by Md Fakrul Islam, Prosenjit Basak Arka, Mahfuzer Rohman, Md Sabbir Hossain, Md Rashed Babu, Hasin Anupama Azhari, Md Jamal Uddin

“…Additionally, we provided accompanying bar diagrams for each descriptive finding to enhance visual understanding. For geospatial analysis, we utilized ArcGIS, a powerful tool for mapping and spatial analysis. …”
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Mechanisms and impacts of anomalous high-salinity shelf water formation in the Ross Sea by X. Wang, X. Wang, Z. Zhang, Z. Zhang, Z. Zhang, Z. Zhang, C. Xie, X. Zhao, X. Zhao, C. Wang, C. Wang, C. Wang, H. Hu, Y. Chen

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Operationalizing Human Health Indicators to Link with Ecosystem Changes of Water Streams: An OneAquaHealth Protocol by Marilena ANASTASAKI, Catherine CHRONAKI, Anne MOEN, Eleni KOKINOU, Stratos KOKOLAKIS, Matenia KARAGIANNIDOU, May-Linn MØRK, Silje HENNI

“…Leveraging advanced computational methods will be performed to integrate the collected data and analyze data related to indicators. Predictive modelling, geospatial and trends analyses, and causal relationships between ecosystem changes and health outcomes to inform evidence-based decision-making will be developed. …”
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Mechanism of Influence of Spatial Perception on Residents’ Emotion in Child-Friendly Urban Streets of Fuzhou City by Shaofeng CHEN, Zhengyan CHEN, Yuhan XU, Zheng DING

“…The present research has made important progress, but there are still limitations in data sources and methods of analyzing residents’ emotions. Future research should expand the diversity of data and refine sentiment recognition models to address cultural and environmental variability. …”
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The Multi-Compartment Hg Modeling and Analysis Project (MCHgMAP): mercury modeling to support international environmental policy by A. Dastoor, H. Angot, J. Bieser, F. Brocza, F. Brocza, B. Edwards, A. Feinberg, A. Feinberg, X. Feng, X. Feng, B. Geyman, C. Gournia, Y. He, I. M. Hedgecock, I. Ilyin, J. Kirk, C.-J. Lin, C.-J. Lin, I. Lehnherr, R. Mason, D. McLagan, D. McLagan, M. Muntean, P. Rafaj, E. M. Roy, A. Ryjkov, N. E. Selin, N. E. Selin, F. De Simone, A. L. Soerensen, F. Steenhuisen, O. Travnikov, S. Wang, S. Wang, X. Wang, S. Wilson, R. Wu, Q. Wu, Q. Wu, Y. Zhang, J. Zhou, W. Zhu, S. Zolkos

“…<p>The Multi-Compartment Hg (mercury) Modeling and Analysis Project (MCHgMAP) is an international multimodel research initiative intended to simulate and analyze the geospatial distributions and temporal trends of environmental Hg to inform effectiveness evaluations of two multilateral environmental agreements (MEAs): the Minamata Convention on Mercury (MC) and the Convention on Long-Range Transboundary Air Pollution (LRTAP). …”
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Marine Microplastic Levels and the Prevalence of Cardiometabolic Diseases in US Coastline Counties by Bhargav Makwana, Sumanth Khadke, Ashish Kumar, Khurram Nasir, Rishi Wadhera, Rikin Shah, Sudip Sheth, Yixin Kong, Ana Navas‐Acien, Gary Adamkiewicz, Sanjay Rajagopalan, Sadeer Al‐Kindi, Sourbha S. Dani, Susan Moffatt‐Bruce, Sarju Ganatra

“…Methods Microplastic concentration data within 200 nautical miles of the US coastline were geospatially analyzed to calculate mean MMLs. The coastal counties were stratified into 4 categories based on MMLs in the adjacent ocean water body: low, medium, high, or very high. …”
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