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Improving the accuracy of precipitation estimates in a typical inland arid area of China using a dynamic Bayesian model averaging approach

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Journal of Arid Land 2024年第3期16卷 331-354页

作者： XU Wenjie DING Jianli BAO Qingling wang jinjie XU Kun College of Geography and Remote Sensing Sciences Xinjiang UniversityUrumqi 830017China Key Laboratory of Smart City and Environment Modelling of Higher Education Institute Xinjiang UniversityUrumqi 830017China

Xinjiang Uygur Autonomous Region is a typical inland arid area in China with a sparse and uneven distribution of meteorological stations,limited access to precipitation data,and significant water *** and integrating precipitation datasets from different sources to accurately characterize precipitation patterns has become a challenge to provide more accurate and alternative precipitation information for the region,which can even improve the performance of hydrological *** study evaluated the applicability of widely used five satellite-based precipitation products(Climate Hazards Group InfraRed Precipitation with Station(CHIRPS),China Meteorological Forcing Dataset(CMFD),Climate Prediction Center morphing method(CMORPH),Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record(PERSIANN-CDR),and Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis(TMPA))and a reanalysis precipitation dataset(ECMWF Reanalysis v5-Land Dataset(ERA5-Land))in Xinjiang using ground-based observational precipitation data from a limited number of meteorological *** on this assessment,we proposed a framework that integrated different precipitation datasets with varying spatial resolutions using a dynamic Bayesian model averaging(DBMA)approach,the expectation-maximization method,and the ordinary Kriging interpolation *** daily precipitation data merged using the DBMA approach exhibited distinct spatiotemporal variability,with an outstanding performance,as indicated by low root mean square error(RMSE=1.40 mm/d)and high Person's correlation coefficient(CC=0.67).Compared with the traditional simple model averaging(SMA)and individual product data,although the DBMA-fused precipitation data were slightly lower than the best precipitation product(CMFD),the overall performance of DBMA was more *** error analysis between DBMA-fused precipitation dataset and the more advanced Inte

关键词： precipitation estimates satellite-based and reanalysis precipitation dynamic Bayesian model averaging streamflow simulation Ebinur Lake Basin Xinjiang

Assessment of ecological quality in Northwest China(2000-2020)using the Google Earth Engine platform:Climate factors and land use/land cover contribute to ecological quality

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Journal of Arid Land 2022年第11期14卷 1196-1211页

作者： wang jinjie DING Jianli GE Xiangyu QIN Shaofeng ZHANG Zhe College of Geography and Remote Sensing Science Xinjiang UniversityUrumqi 800046China Xinjiang Key Laboratory of Oasis Ecology Xinjiang UniversityUrumqi 830046China Key Laboratory of Smart City and Environment Modelling of Higher Education Institute Xinjiang UniversityUrumqi 830046China

The ecological quality of inland areas is an important aspect of the United Nations Sustainable Development Goals(UN SDGs).The ecological environment of Northwest China is vulnerable to changes in climate and land use/land cover,and the changes in ecological quality in this arid region over the last two decades are not well *** makes it more difficult to advance the UN SDGs and develop appropriate measures at the regional *** this study,we used the Moderate Resolution Imaging Spectroradiometer(MODIS)products to generate remote sensing ecological index(RSEI)on the Google Earth Engine(GEE)platform to examine the relationship between ecological quality and environment in Xinjiang during the last two decades(from 2000 to 2020).We analyzed a 21-year time series of the trends and spatial characteristics of ecological *** further assessed the importance of different environmental factors affecting ecological quality through the random forest algorithm using data from statistical yearbooks and land use *** results show that the RSEI constructed using the GEE platform can accurately reflect the ecological quality information in Xinjiang because the contribution of the first principal component was higher than 90.00%.The ecological quality in Xinjiang has increased significantly over the last two decades,with the northern part of this region having a better ecological quality than the southern *** areas with slightly improved ecological quality accounted for 31.26%of the total land area of Xinjiang,whereas only 3.55%of the land area was classified as having a slightly worsen(3.16%)or worsen(0.39%)ecological *** vast majority of the deterioration in ecological quality mainly occurred in the barren areas Temperature,precipitation,closed shrublands,grasslands and savannas were the top five environmental factors affecting the changes in *** factors were allocated different weights for different RSEI *** genera

关键词： ecological quality land use/land cover spatiotemporal change remote sensing ecological index(RSEI) Google Earth Engine Xinjiang

Few-layer Ti3C2Tx MXene delaminated via flash freezing for high-rate electrochemical capacitive energy storage

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Journal of Energy Chemistry 2020年第9期29卷 233-240,I0007页

作者： Xianli wang Liubing Dong Wenbao Liu Yongfeng Huang Xuechao Pu jinjie wang Feiyu Kang Jia Lia Chengjun Xu Shenzhen Geim Graphene Center Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518055GuangdongChina State Key Laboratory of New Ceramics and Fine Processing School of Materials Science and EngineeringTsinghua UniversityBeijing 100084China

Few-layer Ti3C2Tx MXene is synthesized from multi-layered Ti3C2Tx via a flash freezing-assisted delamination *** the flash freezing process,the water molecules in the interlayers of multi-layered MXene are induced to rearrange and produce volume expansion,thus notably expand the MXenes’interlayer distance to form few-layer *** synthesized few-layer Ti3C2Tx MXene nanosheets display a very small thickness(less than 5 Ti3C2 atom-layers)and expanded interlayer ***,the few-layer Ti3C2Tx exhibits enhanced capacitance(255 F g^-1 vs.177 F g^-1 for the multi-layered Ti3C2Tx)and significantly optimized rate capability(150 F g^-1 at 200 mV s^-1 vs.25 F g^-1 for the multi-layered Ti3C2Tx),because redox-active sites in the few-layer MXene are easily accessible to electrolyte ***,an asymmetric supercapacitor is constructed using the few-layer Ti3C2Tx negative electrode and an activated carbon fiber positive *** asymmetric supercapacitor presents a high energy density of 17.9 Wh kg^-1 and a high power density of 14 kW kg^-1,which is inseparable from its wide voltage window of 1.4 V and the good rate performance of the few-layer Ti3C2Tx MXene ***,the flash freezing-assist delamination provides an effective and environmental-friendly strategy to synthesize few-layer MXene materials for high-rate electrochemical energy storage.

关键词： Ti3C2Tx MXene Pseudocapacitance Activated carbon fiber Asymmetric supercapacitor Flash freezing

Pockets of Prosperity

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ChinAfrica 2024年第2期16卷 22-23页

作者： wang jinjie Research Office of the Institute of South-South Cooperation and Development Centre for African Studies Peking University

As African countries look to enhance their manufacturing industries and speed up industrialisation,they are learning valuable insights from the development experience of industrial parks worldwide,particularly from Ch... 详细信息

关键词： China. Prosper African

Clusters d’industrialisation

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中国与非洲（法文版） 2024年第2期16卷 22-23页

作者： wang jinjie 不详

Les parcs industriels jouent un rôle central dans la promotion de l’industrialisation sur le continent africain,en tirant des enseignements de l’expérience chinoise.

关键词： Les des promotion

New Drivers of Development China’s reform and opening up has benefitted Africa in multifarious ways

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ChinAfrica 2024年第8期16卷 34-35页

作者： TANG XIAOYANG wang HENG wang jinjie Department of International Relations Tsinghua University Institute of African Studies Zhejiang Normal University Institute of African Studies Peking University

Joaquim Chissano,former President of Mozambique,has said that Africa has gained much from China’s economic development,particularly due to its reform and opening up *** inspires African nations in their quest for national renewal and creates new development prospects through mutually beneficial *** the establishment of the Forum on China-Africa Cooperation in 2000 and the launch of the Belt and Road Initiative in 2013,exchanges between the two sides have *** such as the China-Africa Economic and Trade Expo and the China International Import Expo have further strengthened this momentum.

关键词： intensified Africa gained

COVID-19 transmission driven by age-group mathematical model in Shijiazhuang City of China

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Infectious Disease Modelling 2023年第4期8卷 1050-1062页

作者： Fengying Wei Ruiyang Zhou Zhen Jin Senzhong Huang Zhihang Peng jinjie wang Ximing Xu Xinyan Zhang Jun Xu Yao Bai Xiaoli wang Bulai Lu Zhaojun wang Jianguo Xu School of Mathematics and Statistics Fuzhou UniversityFuzhou350116FujianChina Center for Applied Mathematics of Fujian Province Fuzhou UniversityFuzhou350116FujianChina Key Laboratory of Operations Research and Control of Universities in Fujian Fuzhou UniversityFuzhou350116FujianChina Complex Systems Research Center Shanxi UniversityTaiyuan030006ShanxiChina School of Statistics and Data Science ZhiYing Research Center for Health DataNankai University300071TianjinChina Department of Biostatistics School of Public HealthNanjing Medical UniversityNanjing211166JiangsuChina Nankai Institute of Economics Binhai Development InstituteNankai UniversityTianjin300071China Children's Hospital of Chongqing Medical University Chongqing400010China Jinzhou Center for Disease Control and Prevention Jinzhou121000LiaoningChina School of Statistics and Data Science Nankai UniversityTianjin300071China Xi'an Center for Disease Control and Prevention Xi'an710061ShaanxiChina Beijing Center for Disease Control and Prevention Beijing100013China Suzhou Center for Disease Control and Prevention Suzhou215004JiangsuChina State Key Laboratory of Communicable Disease Prevention and Control National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing102206China Institute of Public Health Nankai UniversityTianjin300071China

Background:A COVID-19 outbreak in the rural areas of Shijiazhuang City was attributed to the complex interactions among vaccination,host,and non-pharmaceutical interventions(NPIs).Herein,we investigated the epidemiological characteristics of all reported symptomatic cases by picking Shijiazhuang City,Hebei Province in Northern China as research *** addition,we established an age-group mathematical model to perform the optimal fitting and to investigate the dynamical profiles under three ***:All reported symptomatic cases of Shijiazhuang epidemic(January 2-February 3,2021)were investigated in our *** cases were classified by gender,age group and location,the distributions were analyzed by epidemiological ***,the reported data from Health Commission of Hebei Province was also analyzed by using an age-group mathematical model by two phases and three ***:Shijiazhuang epidemic caused by SARS-CoV-2 wild strain was recorded with the peak 84 cases out of 868 reported symptomatic cases on January 11,2021,which was implemented with strong NPIs by local government and referred as baseline situation in this *** research results showed that R0 under baseline situation ranged from 4.47 to 7.72,and Rt of Gaocheng Distinct took 3.72 with 95%confidence interval from 3.23 to 4.35 on January 9,the declining tendencies of Rt under baseline situation were kept till February 3,the value of Rt reached below 1 on January 19 and remained low value up to February 3 for Gaocheng District and Shijiazhuang City during Shijiazhuang *** indicated Shijiazhuang epidemic was under control on January ***,if the strong NPIs were kept,but remote isolation operated on January 11 was not implemented as of February 9,then the scale of Shijiazhuang epidemic reached 9,482 cases from age group who were 60 years old and over out of 31,017 symptomatic *** investigation also revealed that Shijiazhuang epidemic reache

关键词： COVID-19 Wild strain Non-pharmaceutical interventions Shijiazhuang epidemic Transmission dynamics

Study and prediction of the 2022 global monkeypox epidemic

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Journal of Biosafety and Biosecurity 2022年第2期4卷 158-162页

作者： Fengying Wei Zhihang Peng Zhen Jin jinjie wang Ximing Xu Xinyan Zhang Jun Xu Zixiong Ren Yao Bai Xiaoli wang Bulai Lu Zhaojun wang Jianguo Xu Senzhong Huang School of Mathematics and Statistics Fuzhou UniversityFuzhou 350116FujianChina Department of Biostatistics School of Public HealthNanjing Medical UniversityNanjing 211166JiangsuChina Complex Systems Research Center Key Discipline of Computer Science and Technology of“Double-First-Class”Project of Shanxi ProvinceShanxi UniversityTaiyuan 030006ShanxiChina Nankai Institute of Economics Binhai Development InstituteNankai UniversityTianjin 300071China Children’s Hospital of Chongqing Medical University Chongqing 400010China Jinzhou Center for Disease Control and Prevention Jinzhou 121000LiaoningChina School of Statistics and Data Science Nankai UniversityTianjin 300071China Xi’an Center for Disease Control and Prevention Xi’an 710061ShaanxiChina Beijing Center for Disease Control and Prevention Beijing 100013BeijingChina Suzhou Center for Disease Control and Prevention Suzhou 215004JiangsuChina State Key Laboratory of Communicable Disease Prevention and Control National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 102206China School of Statistics and Data Science ZhiYing Research Center for Health DataNankai UniversityTianjin 300071China Institute of Public Health Nankai UniversityTianjin 300071China

The World Health Organization(WHO)declared monkeypox as a public health emergency of international concern(PHEIC)on July 23,2022,their highest level of *** raised concerns about the management of the global monkeypox outbreak,as well as the scientific analysis and accurate prediction of the future course of the *** study used EpiSIX(an analysis and prediction system for epidemics based on a general SEIR model)to analyze the monkeypox epidemic and to forecast the major tendencies based on data from the USA CDC(https://***)and the WHO(https://***/health-topics/monkeypox).The global outbreak of monkeypox started in the UK on May 2,2022,which marked the beginning of an epidemic *** of October 28,2022,the cumulative number of reported cases worldwide was 77,115,with 36 *** simulations predict that the global monkeypox epidemic will enter a low epidemic status on March 1,2023 with the cumulative number of confirmed cases ranging from 85,000 to 124,000,and the total number of deaths ranging from 60 to *** analysis revealed that the basic reproduction number(R0)of monkeypox virus(MPXV)is near to 3.1 and the percentage of asymptomatic individuals is 13.1%–14.5%,both of which are similar to the data for *** vaccination efficiency against susceptibility(VEs)of individuals who have had monkeypox is~79%,and the vaccination efficiency against infectiousness(VEi)of individuals who have had monkeypox is~76%–82%.The mean incubation period for monkeypox is 8 *** total,94.7%of infected individuals develop symptoms within 20 days and recover within 2 weeks after the confirmation of *** results using EpiSIX showed that ring vaccination was remarkably effective against *** findings confirmed that a 20-day isolation for close contacts is necessary.

关键词： Monkeypox Epidemic Prediction Tendency

Study on the COVID-19 epidemic in China's Mainland between November 2022 and January 2023,with prediction of its tendency

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Journal of Biosafety and Biosecurity 2023年第1期5卷 39-44页

作者： Yao Bai Zhihang Peng Fengying Wei Zhen Jin jinjie wang Ximing Xu Xinyan Zhang Jun Xu Zixiong Ren Bulai Lu Zhaojun wang Jianguo Xu Senzhong Huang Xi’an Center for Disease Control and Prevention Xi’an 710054ShaanxiChina Department of Biostatistics School of Public HealthNanjing Medical UniversityNanjing 211166JiangsuChina School of Mathematics and Statistics Fuzhou UniversityFuzhou 350116FujianChina Complex Systems Research Center Key Discipline of Computer Science and Technology of“Double-First-Class”Project of Shanxi ProvinceShanxi UniversityTaiyuan 030006ShanxiChina Nankai Institute of Economics Binhai Development InstituteNankai UniversityTianjin 300071China Children’s Hospital of Chongqing Medical University Chongqing 400010China Jinzhou Center for Disease Control and Prevention Jinzhou 121000LiaoningChina School of Statistics and Data Science Nankai UniversityTianjin 300071China Suzhou Center for Disease Control and Prevention Suzhou 215004JiangsuChina State Key Laboratory of Communicable Disease Prevention and Control National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 102206China Institute of Public Health Nankai UniversityTianjin 300071China School of Statistics and Data Science ZhiYing Research Center for Health DataNankai UniversityTianjin 300071China

The prediction system EpiSIX was used to study the COVID-19 epidemic in China's Mainland between November 2022 and January 2023,based on reported data from December 9,2022,to January 30,2023,released by The Chinese Center for Disease Control and Prevention on February 1,*** kinds of reported data were used for model fitting:the daily numbers of positive nucleic acid tests and deaths,and the daily number of hospital beds taken by COVID-19 *** was estimated that the overall infection rate was 87.54%and the overall case fatality rate was 0.078%–0.116%(median 0.100%).Assuming that a new COVID-19 epidemic outbreak would start in March or April of 2023,induced by a slightly more infectious mutant strain,we predicted a possible large rebound between September and October 2023,with a peak demand of between 800,000 and 900,000 inpatient *** no such new outbreak was induced by other variants,then the current COVID-19 epidemic course in China's Mainland would remain under control until the end of ***,it is suggested that the necessary medical resources be prepared to manage possible COVID-19 epidemic emergencies in the near future,especially for the period between September and October 2023.

关键词： COVID-19 Epidemic Infection rate Case fatality rate Prediction