“Local versus Nonlocal” Enterprise Linkages of Global Cities: A Comparison between Beijing and Shanghai, China by Jiayi Lu, Dongqi Sun, Jiali Yu, Jiaming Li, Fangqu Niu

“…There is a large economic development gap between Beijing and its hinterland, Hebei Province, while Shanghai has formed a highly integrated region with its hinterland, the Yangtze River Delta. According to the Outline of Collaborative Development of Beijing, Tianjin, and Hebei Province, enterprise linkages between Beijing and Hebei should be strengthened in order to narrow the economic gap between the center and the hinterland. …”
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Recent Decreasing Trends in Surface PM2.5 over East Asia in the Winter-Spring Season: Different Responses to Emissions and Meteorology between Upwind and Downwind Regions by Young-Hee Ryu, Seung-Ki Min, Alma Hodzic

“…This system accurately reproduced the monthly means, daily variations, and vertical profiles of PM2.5 during winter and spring over the Seoul Metropolitan Area (SMA) in South Korea and the North China Plain (NCP) and Yangtze River Delta (YRD) in China. Furthermore, it demonstrated that the decline in PM2.5 over the latter nation is attributable to control measures in China that have been in effect since 2013. …”
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Comparison of Satellite-based PM2.5 Estimation from Aerosol Optical Depth and Top-of-atmosphere Reflectance by Heming Bai, Zhi Zheng, Yuanpeng Zhang, He Huang, Li Wang

“…In this study, satellite observations of TOA reflectance and AOD from the Advanced Himawari Imager (AHI) onboard the Himawari-8 geostationary satellite in 2016 over Yangtze River Delta (YRD) and meteorological data are used to estimate hourly PM2.5 based on four different machine learning algorithms (i.e., random forest, extreme gradient boosting, gradient boosting regression, and support vector regression). …”
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Effect of adhesive on the anchorage performance of variable curvature waveform clamping anchor for CFRP plate: Experimental investigation and carrying capacity calculation by Yongyu Duo, Minglei Ma, Guowen Xu, Xiaogang Liu

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Improving WRF-Chem PM2.5 predictions by combining data assimilation and deep-learning-based bias correction by Xingxing Ma, Hongnian Liu, Zhen Peng

“…Besides having the best optimization effect over the whole domain, the combined method also performed well in different regions: during the forecasting period of 0–24 h, the RMSEs decreased from 32 % to 62 %, 39 % to 57 %, 28 % to 40 %, and 30 % to 49 % in the Beijing–Tianjin–Hebei, Yangtze River Delta, Central China, and Sichuan Basin urban agglomerations, respectively.…”
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Study on the Impact of Climate Warming on Mariculture in China by GAO Jia, YANG Huaiyu

“…Further research also reveals that in different marine industrial economic circles, the impact of climate warming on mariculture output is significantly different, which has a certain promoting effect in the Yangtze River Delta economic circle, while it has an obvious inhibitory effect in the Bohai Rim economic circle and the Pearl River Delta economic circle. …”
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Evaluation of the Production-Education Integration Performance of the High-Tech Industry: An Empirical Comparison between Three Urban Agglomerations in China by Quan Zhang, Zhen Zhang, Zhuomei Li, Sifeng Li, Tianzhen Tang

“…On this basis, the correlation-entropy composite matter-element (CECME) model and coupling coordination degree (CCD) model were introduced to empirically compare the PEI performance of the high-tech industry between Guangdong-Hong Kong-Macao (GHKM) Greater Bay Area, Beijing-Tianjin-Hebei (BTH) Urban Agglomeration, and Yangtze River Delta (YRD) Urban Agglomeration. The main conclusions are as follows: (1) the GHKM Greater Bay Area is far better in education and industry development than YRD Urban Agglomeration and BTH Urban Agglomeration; (2) the PEI performance of the high-tech industry in GHKM Greater Bay Area was evaluated as high level with industry in lead, that in YRD Urban Agglomeration as moderate level with education in lead, and that in BTH Urban Agglomeration high-tech industry PEI as moderate level with industry in lag. …”
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Can urban compactness improve ecosystem services: Evidence from Chinese urban agglomerations by Xuewei Zhang, Jiahui Wu, Jintao Yuan, Wanxu Chen

“…Our findings revealed that the urban compactness of UAs in China generally increased from 2010 to 2020, with the most significant increases observed in the Yangtze River Delta, Mid-Yangtze River, and Central Plains UAs. …”
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Geographical feature and method factors significantly influence the reliability of ecological source information transmission at multi-scale by Kai Li, Wei Wu, Shiqi Tian, Linjuan Li, Zhe Li, Yue Cao

“…This study was conducted in two regions with distinct geographical features: the Yangtze River Delta Region (YRDR) and the Loess Plateau Region (LPR). …”
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Teleconnections detection of land use carbon emissions beyond geographical proximity promotes the construction of cross-city networks by Lei Shen, Yinghong Jiang, Duanqiang Zhai, Peng Wang

“…Considering the spatial association network of land use carbon emissions (LUCE) between cities is essential for supporting the sustainable development of urban agglomerations and achieving carbon neutrality. The Yangtze River Delta urban agglomeration (YRDUA), as one of China's most developed regions, has seen rapid growth in all aspects of the cities due to rapid urbanization. …”
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Steady-state mixing state of black carbon aerosols from a particle-resolved model by Z. Zhang, Z. Zhang, J. Wang, J. Wang, J. Wang, J. Wang, N. Riemer, C. Liu, C. Liu, Y. Jin, Y. Jin, Z. Tian, Z. Tian, J. Cai, J. Cai, Y. Cheng, Y. Cheng, G. Chen, G. Chen, B. Wang, B. Wang, S. Wang, A. Ding, A. Ding

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Study on the evolution of the spatial patterns and driving factors of national agricultural cultural heritage in China. by Lifei Xu, Yuyu Liao, Jun Liu

“…After 2017, the high-density core area moved northward to the Yangtze River Delta region, which was caused by a combination of economic, cultural, and geographical factors. …”
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Assessment of ecological environment quality and their drivers in urban agglomeration based on a novel remote sensing ecological index by Fangyuan Lu, Chen Zhang, Haoyu Cao, Xibin Wang, Tong Zheng, Zhenfang Huang

“…The NRSEI is then used to assess the Ecological Environmental Quality (EEQ) of the Yangtze River Delta Urban Agglomeration (YRDUA) over the period from 2012 to 2021. …”
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The capacity of human interventions to regulate PM2.5 concentration has substantially improved in China by Jiachen Meng, Wenchao Han, Cheng Yuan, Lulu Yuan, Wenze Li

“…Spatially, the key regions for air pollution control in China, such as the Beijing-Tianjin-Hebei, the Fenwei Plain, the Yangtze River Delta, and the Pearl River Delta, experienced a significantly greater decrease (The largest decrease is 39 %) in the meteorological contribution and increase in the emission contribution (The largest increase is 66 %) compared to other regions. …”
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Genome-Wide Scans for Selection Signatures in Haimen Goats Reveal Candidate Genes Associated with Growth Traits by Zhen Zhang, Jiafeng Lu, Yifei Wang, Zhipeng Liu, Dongxu Li, Kaiping Deng, Guomin Zhang, Bingru Zhao, Peihua You, Yixuan Fan, Feng Wang, Ziyu Wang

“…Haimen goats, native to China’s Yangtze River Delta, possess distinctive traits such as white hair, moderate growth rate, high-quality meat, and small body size. …”
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