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.…”
Get full text

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. …”
Get full text

Modeling the significance of unified theory of acceptance and use of technology in predicting the intention and usage of eCNY by Yue Ma, Abdullah Al Mamun, Mohammad Masukujjaman, Roslan Ja’afar

“…A cross-sectional survey methodology was deployed to collect data from pilot communities situated within the Yangtze River Delta, Pearl River Delta, and Beijing–Tianjin–Hebei regions. …”
Get full text

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. …”
Get full text

The spatial association network and driving factors of land use carbon emission efficiency in China: An investigation in the National Major Strategic Regions by LIU Min, CHEN Yinrong, WANG Jue, CHEN Kun, CHEN Yi

“…However, there were obvious differences among regions, Guangdong-Hong Kong-Macao Greater Bay Area have the highest average value of land use carbon emission efficiency, followed by the Yangtze River Delta region, the Yangtze River Economic Belt, Beijing-Tianjin-Hebei region and the Yellow River Basin region. (2) Over time，the structure of the overall networks of land use carbon emission efficiency in the National Major Strategic Regions has generally evolved towards densification, diversification and robustness. …”
Get full text

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. …”
Get full text

The establishment of blue-sky index: how to quantify the aerosol optical impacts on sky color by Sunan Shen, Jiandong Wang, Chao Liu, Jia Xing, Jiaping Wang, Jing Cai, Zeyuan Tian, Peng Wang, Guangjie Zheng, Yuzhi Jin, Chenggang Wang, Le Cao, Zhouyang Zhang, Bin Wang, Aijun Ding, Shuxiao Wang

Get full text

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). …”
Get full text

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. …”
Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Network pharmacology and experimental verification reveal the mechanism of Qingfei Tongluo mixture in treating pulmonary fibrosis by Ying Zhou, Wenlong Wang, Wanping Zhu, Tingting Cai, Nannan Wang, Xia Liu, Wenmin Wang, Kequn Chai

Get full text

Evaluating Fine-Scale Winter Nighttime PM_2.5 Concentrations and Population Exposure Using SDGSAT-1 Glimmer Imagery by Xuting Liu, Linlin Lu, Huadong Guo, Zilu Li, Xi Li, Muhammad Bilal

“…The findings suggest that population exposure to PM_2.5 is highest in the Beijing-Tianjin-Hebei UA (66.84 <italic>&#x03BC;</italic>g&#x002F;m³), followed by Chengdu-Chongqing (CC) (62.66 <italic>&#x03BC;</italic>g&#x002F;m³), Yangtze River Delta (52.04 <italic>&#x03BC;</italic>g&#x002F;m³), and Guangdong-Hong Kong-Macao Greater Bay Area (33.74 <italic>&#x03BC;</italic>g&#x002F;m³). …”
Get full text

Unraveling the interconnectedness between physician burnout and symptoms of depression, anxiety, and stress: a network analysis among Chinese psychiatrists by Song Wang, Song Wang, Mengyue Gu, Mengyue Gu, Shujing Zhang, Jingyang Gu, Jingyang Gu, Yudong Shi, Yudong Shi, Yating Yang, Yating Yang, Ling Zhang, Ling Zhang, Mengdie Li, Mengdie Li, Lei Xia, Lei Xia, Feng Jiang, Feng Jiang, Feng Jiang, Feng Jiang, Huanzhong Liu, Huanzhong Liu, Huanzhong Liu, Yi-lang Tang, Yi-lang Tang

Get full text