Urban Spatial Blessing: Effect of Land Use Intensity on Human Development Index by Xiang Luo, Shuchen Niu, Xin Li, Liwei Jing, Jingjing Qin, Yue Tang

“…This study combined multi-source data to construct a panel dataset of 284 prefectural-level and above cities in China from 2011 to 2022, and employed the spatial Durbin model, spatial heterogeneity model, and spatial mechanism model to systematically analyze the spatial spillover effects of urban land use intensity (ULUI) on urban welfare (Human Development Index, HDI), its heterogeneity, and the underlying influencing mechanisms. …”
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Spatial-temporal heterogeneity of vegetation reduces concentration of atmospheric pollution particles in the East China Metropolitan Area by Tong Liu, Jiaqi Yao, Yongqiang Cao, Tianling Qin, Qingyang Wu, Fan Mo, Haoran Zhai, Haiying Gong, Zihua Liu

“…Vegetation reduces fine particles in the air via dry deposition, offering a natural, green, and cost-effective means of alleviating air pollution. This study used multi-source satellite remote sensing data as a substitute for traditional ground station data and applied an improved UFORE model to analyze the spatiotemporal distribution of vegetation dry deposition from 2001 to 2020 in these regions. …”
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The effect of population size on urban heat island and NO2 air pollution: Review and meta-analysis by Yufei Wei, Rémi Lemoy, Geoffrey Caruso

“…While much research has focused on the local urban context and micro-conditions for sources and exposures in particular case-studies, the effect of the overall level of urban agglomeration, as measured by population size, remains underreported. …”
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Effect of chitosan concentration on hydroxyapatite/chitosan composite synthesis using the in-situ method as a dye adsorbent by Jamarun N., Prasejati A., Zulhadjri Z.

“…The hydroxyapatite/chitosan (HAp/CTS) composite was synthesized via the in-situ method, utilizing natural sources such as calcium ions from cuttlefish bones and chitosan extracted from shrimp shells. …”
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Spatial and temporal evolution characteristics of apple carbon emissions in China, 1991–2020 by Qiangqiang Zhang, Xixi Gao, Yujie Hu, Zhongwei He, Xiaojing Li

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Effect of Addition Titanium Dioxide Nanoparticle on Properties of Pineapple Leaf Fiber Mediated TEMPO Oxidation Oxidation by Rahmad Ikrom Ramadhan, Heru Suryanto, Ahmad Atif Fikri, Aminnudin Aminnudin, Jibril Maulana, Faqih Fadillah, Mohamed T Mito, Kemal Masera

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Construction of a Cold Island Spatial Pattern from the Perspective of Landscape Connectivity to Alleviate the Urban Heat Island Effect by Qianli Ouyang, Bohong Zheng, Junyou Liu, Xi Luo, Shengyan Wu, Zhaoqian Sun

“…By incorporating wind environment data and 3D building features (e.g., height, density) into the resistance surface, we enhance the accuracy of cooling network identification, revealing 39 cold island sources, 89 cooling corridors, and optimal corridor widths (600 m) in the Changsha–Zhuzhou–Xiangtan urban agglomeration (CZXUA). …”
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Effect of hybrid reinforcements of TiO₂, Al₂O₃, and CNTs on superior mechanical and microstructural properties in epoxy/carbon fiber composite by N. Elzayady, Walid Mahmoud Shewakh, Mohamed Abu-Okail, H.T. Elmetwaly, A.M.I. Abu-Oqail

“…Optical and SEM analyses confirmed the mechanical test results, highlighting the detrimental effects of agglomeration on mechanical properties. …”
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Effects of calcination temperatures on structural, functional, morphological, and magnetic properties of strontium ferrite (SrFe2O4) nanoparticles by T. Sivanandan, Sigamani Saravanan

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Synergistic Effect of Multi-field Force on Condensable Particulate Matter Properties and Behavior in Flue Gas: A Case Study in a Municipal Solid Waste Incineration Plant by Wenting Liu, Bowen Zhao, Qian Feng, Zhiyong Zhou, Jianyi Lu

“…Abstract At present, filterable particulate matter (FPM) emissions from stable source flue gases are well controlled, and the more difficult to remove condensable particulate matter (CPM) has received much attention due to its environmental hazards. …”
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A novel fabrication method of vertically aligned carbon nanotubes by single-stage floating catalyst CVD by B. V.N. Sewwandi, A. R. Kumarasinghe, Xing CHEN, P. M.C.J. Bandara, L. Jayarathna, Rohan Weerasooriya

“…To minimize the catalyst agglomeration, we positioned the chemical sources at a distance of 15 cm from the inlet of the CVD reactor. …”
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Toward low-carbon agriculture: measurement and driver analysis of agricultural carbon emissions in Sichuan province, China by Wenxiu Zhang, Yang Shen

“…IntroductionAgricultural carbon emission reduction is the meaning of realizing the goal of double carbon, and Sichuan province, as one of the main grain producing areas in China, it is urgent to realize agricultural carbon reduction.MethodsBased on the data of 18 cities in Sichuan province from 2000 to 2022, this paper calculates the total agricultural carbon emission and carbon emission intensity in Sichuan province by using IPCC guidelines, and measures its temporal, spatial evolution trend and regional differences, and further evaluates the driving factors by using fixed effect model.ResultsThe results show that: (1) The total quantity of agricultural carbon emissions in Sichuan province has increased, but the carbon intensity has decreased, among which agricultural carbon emissions caused by agricultural land planting and residents’ life are the main carbon sources; (2) The regional differences of agricultural carbon emissions in Sichuan province are narrowing, among which the gap between groups is the root of the regional differences of agricultural carbon emissions, which shows that the agricultural carbon emissions in eastern Sichuan and western Sichuan, eastern Sichuan and southern Sichuan, western Sichuan and southern Sichuan, are quite different; (3) Agricultural carbon emissions in Sichuan province are characterized by agglomeration and spatial spillover, mainly showing a High-High agglomeration mode, but a few cities have changed their agglomeration modes; (4) The agricultural carbon intensity in Sichuan province is influenced by multiple factors. …”
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Micro failure analysis of adhesively bonded joints enhanced with natural cork particles: Impact of overlap length and particles volume fraction by Alireza Akhavan-Safar, Ana Queirós Barbosa, Lucas Filipe Martins da Silva, Majid Reza Ayatollahi

“…Acting as a crack stopper and consequently stabilizing the crack propagation, prevents developing large and unstable cracks which is another source of energy consumption. However, the micro analysis showed that higher contents of cork lead to agglomeration of the particles which acts as a source of stress concentration, with a higher possibility of delamination between the matrix and the micro corks. …”
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Evaluation Methods for the Human–Land Coupling Coordination Relationship in a Metro Station Area: A Case Study of Chengdu Metro Line 1 by Zhiyue Qiu, Shirui Wen, Hong Yuan, Ziyi Liu, Yao Wei, Siqi Yanling, Runlong Dai, Xiang Li, Yuxin Gu

“…At present, more than 200 cities in the world have developed metro systems. Under the agglomeration effect of traffic nodes, rapid population agglomeration and land development and utilization have formed around metro stations in cities. …”
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The impact of building uses on microplastic pollution and its implications for environmental education by Yunlu Xiang, Sheng Ye, Hao Fan, Yamei Wen

“…Abstract Rivers are major sources of marine microplastics. To investigate the influence of building use on river microplastic pollution, this study focused on the Chongqing section of the main stream of the Yangtze River. …”
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The Impact of Green Development of Industrial Parks on the Reduction of Carbon Emissions in Urban Areas—Empirical Research on Green Industrial Parks in China by Xiang Yu, Wentao Hu, Mudan Wang

“…Environmental regulation policies and green industrial park pilot policies exhibit a certain degree of substitution effect. The green industrial parks drive urban carbon emission reduction through three main channels: enhancing green technologies, optimizing industrial structures, and elevating economic agglomeration levels. …”
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Permethrin Insecticide Influence on Microorganisms Present in Surface Waters by Julia Sroczyńska, Urszula Guzik, Wojciech Smułek

“…Bacteria from water from a protected area (Snowy Ponds, Karkonosze National Park, Poland, 50°46′58″ N 15°33′47″ E) and a relatively polluted Kierskie Lake (52°27′10″ N 16°47′35″ E) next to the Poznań (Poland) agglomeration were compared. The obtained results showed that for the tested microorganisms, the toxic effect of permethrin is observed at 1000 ppm for water consortia and pure strains as well, except <i>Bacillus thuringiensis</i> KlaKry, which appeared to be resistant to the insecticide. …”
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Dynamic evolution and network structure characteristics of the wellbeing eco-efficiency of cities in the Yellow River Basin, China by Meixia Wang, Qingyun Zheng, Li Liu

“…During the sample investigation period, the network scale and network agglomeration have been continuously enhanced, and the small-world network correlation effect is significant. …”
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Coupling coordination analysis of agricultural carbon reduction, pollution abatement, green expansion, and growth in Jiangsu Province, China by Zhixian Sun, Yixuan Lu, Xinyue Zheng, Zhiheng Huang, Guanxin Yao

“…Neighboring counties with higher CCD levels could obtain positive spatial spillover effects. (4) Although there was regional heterogeneity in the CCD-induced driving effect, factors such as the annual average temperature, agricultural mechanization intensity, innovation capacity, and agglomeration yielded significant impacts. …”
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Spatial temporal trends and inequality in agricultural eco-efficiency under carbon constraints in China by Shuaibang Fan, Hongyu Lin, Na Luo, Herbert Sima, Yanping Liu

“…The key findings include (1) The Songhua River Basin shows significantly higher eco-efficiency (mean: 0.718) than the Yellow River (mean: 0.559) and Yangtze River Basins (mean: 0.587), with distinct evolutionary patterns; (2) Long-term evolution reflects a bipolar pattern with spatial agglomeration disparities; (3) Positive spatial spillover effects are evident in regions with efficiency levels between 0.4 and 0.9, with inter-regional differences and super-variable density as significant spatial variation sources. …”
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