Study on the Relationship between the Contents of Heavy Metals in Rice and Root Soils in Typical Townships in the Western Pearl River Delta by CAO Ning, SUN Bin-bin, ZENG Dao-ming, WEN Mei-lan, WU Chao, HE Ling, CHENG Xiao-meng

Subjects: “…pearl river delta…”
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Integrated assessment for Sustainable Development Goals of metropolitan regions: A case study of the Pearl River Delta region, China by Jiachun Huang, Vilas Nitivattananon, Dan Lin, Weixia Gong

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A fine study on low-rising structure of Panyu YZ gas field group in Pearl River Mouth Basin by Shenghao Wang, Li Li, Yaosen Wang, Xiaojiang Yang, Zhen Liu, Xiaoyan Xia, Yuting Jiang

“…YZ gas field group in the Pearl River Mouth Basin is located at the edge of the continental shelf, and the gas reservoir is buried deeper than 3 000 m. …”
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Simulation of crude oil cracking and gas generation with semi-open condition, Baiyun Sag, Pearl River Mouth Basin by Zulie LONG, Chuang SHI, Junzhang ZHU, Yuping HUANG, Yuling SHI, Xiaolong ZHANG

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The Coupling Coordination Relationship between Economic Upgrading and Social Upgrading in the Cities of the Pearl River Delta and Its Influencing Factors by Cai Bowei, Xing Zuge, Zhou Jin, Huang Gengzhi

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Impact of Administrative Division and Regional Accessibility on Rural Mobility in the Pearl River Delta: Evidence from Cellphone Big Data by Yi Zhao, Daming Lu, Pu Zhao, Senkai Xie, Wenjia Zhang

“…With regard to regional accessibility, cars are the preferred mode of transportation for connections between the core areas of cities along the Pearl River, whereas HSR is favored more for non-commuting trips between the northwest and center regions. …”
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Water environment response of urban water networks in the Pearl River Delta (China) under the influence of typhoon rain events by Weiping Shen, Yuhao Jin, Peitong Cong, Gengying Li

“…We investigated the water environment response of the urban water network in the Pearl River Delta under the influence of typhoon rain events and explored their spatial heterogeneity using a multiscale geographically weighted regression model. …”
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Dynamic Coupling Model of Water Environment of Urban Water Network in Pearl River Delta Driven by Typhoon Rain Events by Weiping Shen, Yuhao Jin, Peitong Cong, Gengying Li

“…In this study, typhoon rain event data, namely, remote-sensing spectra, measured water quality parameters, and meteorological factors, in the Pearl River Delta during 2022 were first collected. …”
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Key factors of far-source hydrocarbon enrichment in the northern uplift area of Enping Sag in Pearl River Mouth Basin by Jing Wu

Subjects: “…pearl river mouth basin…”
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How Does Human Activity Shape the Largest Estuarine Bay of the Pearl River Estuary, South China (1964–2019) by Zhiyuan Han, Heng Wang, Hualiang Xie, Huaiyuan Li, Wendan Li

“…Human activity has increased considerably in recent years, especially in Lingding Bay of the Pearl River Estuary. Based on mass measured bathymetric data and remote sensing images, morphological changes in Lingding Bay were examined and its long-term morphological evolution from 1964 to 2019 was studied using GIS method and EOF methods. …”
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Coupled high-resolution GCM downscaling framework for projecting dynamics and drivers of ecosystem services in Pearl River Basin, China by Zixuan Qi, Yanpeng Cai, Jingyu Lin, Yulei Xie, Linlin Yao, Pan Zhang, Yongyang Wang, Hongjiang Guo

“…We first identified areas of high risk in terms of inadequate water-related ESs in the Pearl River Basin (PRB) of China. Subsequently, we analyzed key socio-environmental factors driving the dynamics of water-related ESs under future SSP-RCP scenarios. …”
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Sedimentary characteristics and controlling factors of shelf sand ridges in the Pearl River Mouth Basin, northeast of South China Sea by Xiangtao Zhang, Lin Ding, Jiayuan Du, Daoli Liu, Hanqing Liu

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Divergence of the freshwater sleeper, Neodontobutis hainanensis (Chen, 1985) (Teleostei, Odontobutidae), in the Pearl River basin and on Hainan Island of southern China by Mingwei Zhou, Jianhong Xia, Chenhong Li

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Mapping Aquaculture Areas with Multi-Source Spectral and Texture Features: A Case Study in the Pearl River Basin (Guangdong), China by Yue Xu, Zhongwen Hu, Yinghui Zhang, Jingzhe Wang, Yumeng Yin, Guofeng Wu

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Simulation and Driving Factor Analysis of Satellite-Observed Terrestrial Water Storage Anomaly in the Pearl River Basin Using Deep Learning by Haijun Huang, Guanbin Feng, Yeer Cao, Guanning Feng, Zhikai Dai, Peizhi Tian, Juncheng Wei, Xitian Cai

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Simulation and prediction of land use in urban agglomerations based on the PLUS model: a case study of the Pearl River Delta, China by Jing Gong, Hongyan Du, Yong Sun, Yong Sun, Yun Zhan

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Characterization of short-, medium- and long-chain chlorinated paraffins in ambient PM2.5 from the Pearl River Delta, China by Jingwen Huang, Lei Zhao, Yumeng Shi, Xiaowen Zeng, Wenwen Sun, Xianglong Zhao, Ruqing Liu, Qizhen Wu, Guanghui Dong, Da Chen, Xiaotu Liu

“…In the present study, short-chain chlorinated paraffins (SCCPs), medium-chain chlorinated paraffins (MCCPs) and LCCPs were simultaneously quantified and profiled in PM2.5 samples collected from 96 primary or secondary schools in the Pearl River Delta of South China. SCCPs, MCCPs and LCCPs were detected in higher than 90% samples with concentrations in the range of 0.832–109, 1.02–110, and 0.173–17.4 ng/m3, respectively. …”
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Long-Term Geomorphological Evolution of the Mouth Bar in the Modaomen Estuary of the Pearl River over the Last 55 Years (1964–2019) by Zhiyuan Han, Huaiyuan Li, Hualiang Xie, Bing Yan, Mingxiao Xie

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Evaluation of Polycentric Spatial Structure in the Urban Agglomeration of the Pearl River Delta (PRD) Based on Multi-Source Big Data Fusion by Xiong He, Yongwang Cao, Chunshan Zhou

“…In order to accurately evaluate the polycentric spatial structure of urban agglomerations and judge the differences between the actual development situation and overall planning of urban agglomerations, this study proposes a new method to identify the polycentric spatial structure of urban agglomerations in the Pearl River Delta based on the fusion of nighttime light (NTL) data, point of interest (POI) data, and Tencent migration data (TMG). …”
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A Data-Driven Framework for Spatiotemporal Analysis and Prediction of River Water Quality: A Case Study in Pearl River, China by Mengyu Lv, Xiaojun Niu, Dongqing Zhang, Haonan Ding, Zhang Lin, Shaoqi Zhou, Yongdong Zhu

“…To solve the problem, a data-driven framework for the analysis and prediction of water quality in the Guangzhou reach of the Pearl River, China, was constructed in this study. The results provided evidence of a discrepancy in the spatiotemporal dynamics of water quality, with the average water quality index (WQI) values ranging from 52.47 to 83.06, implying “moderate” to “excellent” water quality at different stations. …”
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