Resource Type

Journal Article 230

Conference Videos 5

Year

2023 25

2022 24

2021 23

2020 13

2019 8

2018 8

2017 14

2016 12

2015 9

2014 5

2013 11

2012 8

2011 5

2010 8

2009 16

2008 7

2007 10

2006 4

2005 3

2004 3

open ︾

Keywords

prediction 20

Machine learning 8

earthquake prediction 4

life prediction 4

machine learning 4

ANOVA 3

Artificial intelligence 3

Deep learning 3

artificial neural network 3

reliability prediction 3

ANFIS 2

ANN 2

Artificial neural network 2

Electric vehicles 2

Feature selection 2

Wenchuan Earthquake 2

artificial neural network (ANN) 2

compressive strength 2

concrete 2

open ︾

Search scope:

排序: Display mode:

The Development of the Operational System for Meteorological Prediction in China

Yan Hong,Li Zechun,Ma Qingyun,Tian Cuiying

Strategic Study of CAE 2000, Volume 2, Issue 11,   Pages 88-93

Abstract:

In This article the progress of the operational system for meteorological prediction in China wereSome key experiences for modernization of meteorological services in China are discussed.Finally, the outlook of future meteorological prediction systems in the 21st century are addressed briefly

Keywords: meteorological prediction     operational system     development    

Meteorological technology application and development in wind energy resources utilization

Song Lili,Zhou Rongwei,Yang Zhenbin,Zhu Rong,

Strategic Study of CAE 2012, Volume 14, Issue 9,   Pages 96-101

Abstract: paper summarizes the application status, problems and impacts on project benefits in various aspects of meteorologicalFurthermore, based on the analysis of atmospheric science principles and the special needs of wind power to meteorologicalshould be noted in the applying process of wind energy assessment, numerical simulation and numerical prediction

Keywords: wind power resource     meteorological technology     observation and assessment     simulation and prediction    

Evaluation of the impact of multi-source uncertainties on meteorological and hydrological ensemble forecasting Article

Zhangkang Shu, Jianyun Zhang, Lin Wang, Junliang Jin, Ningbo Cui, Guoqing Wang, Zhouliang Sun, Yanli Liu, Zhenxin Bao, Cuishan Liu

Engineering 2023, Volume 24, Issue 5,   Pages 213-229 doi: 10.1016/j.eng.2022.06.007

Abstract: Previous studies have paid little attention to the influence of multi-source uncertainties in complex meteorologicalBased on this framework, we used eight numerical weather prediction products from the International GrandThe framework’s application to the Chitan Basin in China revealed that the numerical weather predictionThe accuracy of the numerical weather prediction dominates the accuracy of the forecast of high flowsThe developed multi-source uncertainty assessment framework improves our understanding of the complex meteorological

Keywords: Meteorological and hydrological forecasting     Uncertainty estimation     Bayesian model averaging     Ensembleprediction     Multi-model    

Impact of anthropogenic heat emissions on meteorological parameters and air quality in Beijing using

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 4, doi: 10.1007/s11783-021-1478-3

Abstract:

The Large scale Urban Consumption of energ Y model was updated and coupled with WRF.

Keywords: Anthropogenic heat emissions     LUCY     High-resolution     Meteorological parameters     Air quality    

Impacts of emissions and meteorological changes on China’s ozone pollution in the warm seasons of 2013

Dian Ding, Jia Xing, Shuxiao Wang, Xing Chang, Jiming Hao

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 5, doi: 10.1007/s11783-019-1160-1

Abstract: of anthropogenic emissions reductions caused by the Air Pollution Control Action Plan and changes in meteorologicalWe found that the impact on daily maximum eight-hour (MDA8) O3 concentration by the meteorological variationThe meteorological differences significantly change MDA8 O3 by -3.5–8.5 ppb (-8.2%–18.8%) with large

Keywords: O3 pollution     Meteorological influences     Emission reduction     NOx     VOC    

PM2.5 over North China based on MODIS AOD and effect of meteorological elements during 2003‒2015

Youfang Chen, Yimin Zhou, Xinyi Zhao

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 2, doi: 10.1007/s11783-019-1202-8

Abstract: it is challenging to estimate accurate PM2.5 exposure levels, further making it unfavorable for the predictionThe tempo-spatial characteristics of PM2.5 and the influence of meteorological elements on PM2.5 is discussedshow that overall R2 is 0.36 and the root mean squared predicted error was 30.1 μg/m3 for the model predictionMeteorological/topography conditions, that include high surface humidity of area in the range of 34°‒concentrated PM2.5 pollution in North China are consistent with the local emission level, unfavorable meteorological

Keywords: Aerosol optical depth     PM2.5     MODIS     Mixed effect model     Canonical correlation analysis    

The Polar Orbit Meteorological Satellite in China

Meng Zhizhong

Strategic Study of CAE 2004, Volume 6, Issue 10,   Pages 1-5

Abstract:

Meteorological satellite is one kind of applied satellite that has tremendous benefit to both economicThe development of polar orbit meteorological satellite in China has experienced the processes from experimentThis paper introduces briefly the development and performance of the FY-1 polar meteorological satelliteMoreover, the general information of the new generation polar FY-3 meteorological satellite is presented

Keywords: polar orbit meteorological satellite     FY-1 satellite     FY-3 satellite    

The application of marine meteorological observation in tropical cyclone data assimilation

Wan Qilin,He Jinhai

Strategic Study of CAE 2012, Volume 14, Issue 10,   Pages 33-42

Abstract:

Based on the current situation and development plan of marine meteorologicalin that way, there is a chance to overcome the lack of observation, and to improve numerical weather predictionerror covariance required by tropical cyclone data assimilation, also can use effectively the marine meteorologicalBy means of the multi scale/block batch wise data assimilation, to amplify the utilization of marine meteorological

Keywords: marine meteorological observation     the efficiency of data utilization     multi scale/block batch wise data    

Ground Segments for FY Meteorological Satellites

Xu Jianmin,Niu Yinsheng,Dong Chaohua,Zhang Wenjian,Yang Jun

Strategic Study of CAE 2006, Volume 8, Issue 11,   Pages 13-18

Abstract:

Meteorological satellite program of China was initiated in 1970s.Ground segments are major components of FY meteorological satellite projects.FY meteorological satellites have become an essential portion in the modernization of China´s meteorologicalfields, such as weather forecasting, climate prediction, agriculture, environmental and hazard monitoringThe paper discusses the success of FY meteorological satellite program.

Keywords: FY meteorological satellite     ground segment     satellite application    

Spatial prediction of soil contamination based on machine learning: a review

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1693-1

Abstract:

● A review of machine learning (ML) for spatial prediction of soil

Keywords: Soil contamination     Machine learning     Prediction     Spatial distribution    

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Frontiers of Medicine 2022, Volume 16, Issue 3,   Pages 496-506 doi: 10.1007/s11684-021-0828-7

Abstract: The fracture risk of patients with diabetes is higher than those of patients without diabetes due to hyperglycemia, usage of diabetes drugs, changes in insulin levels, and excretion, and this risk begins as early as adolescence. Many factors including demographic data (such as age, height, weight, and gender), medical history (such as smoking, drinking, and menopause), and examination (such as bone mineral density, blood routine, and urine routine) may be related to bone metabolism in patients with diabetes. However, most of the existing methods are qualitative assessments and do not consider the interactions of the physiological factors of humans. In addition, the fracture risk of patients with diabetes and osteoporosis has not been further studied previously. In this paper, a hybrid model combining XGBoost with deep neural network is used to predict the fracture risk of patients with diabetes and osteoporosis, and investigate the effect of patients’ physiological factors on fracture risk. A total of 147 raw input features are considered in our model. The presented model is compared with several benchmarks based on various metrics to prove its effectiveness. Moreover, the top 18 influencing factors of fracture risks of patients with diabetes are determined.

Keywords: XGBoost     deep neural network     healthcare     risk prediction    

Position-varying surface roughness prediction method considering compensated acceleration in milling

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 855-867 doi: 10.1007/s11465-021-0649-z

Abstract: Aiming at surface roughness prediction in the machining process, this paper proposes a position-varyingsurface roughness prediction method based on compensated acceleration by using regression analysis.i>R-square proving the effectiveness of the filtering features, is selected as the input of the predictionMoreover, the prediction curve matches and agrees well with the actual surface state, which verifies

Keywords: surface roughness prediction     compensated acceleration     milling     thin-walled workpiece    

Improved prediction of pile bending moment and deflection due to adjacent braced excavation

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0961-2

Abstract: Deep excavations in dense urban areas have caused damage to nearby existing structures in numerous past construction cases. Proper assessment is crucial in the initial design stages. This study develops equations to predict the existing pile bending moment and deflection produced by adjacent braced excavations. Influential parameters (i.e., the excavation geometry, diaphragm wall thickness, pile geometry, strength and small-strain stiffness of the soil, and soft clay thickness) were considered and employed in the developed equations. It is practically unfeasible to obtain measurement data; hence, artificial data for the bending moment and deflection of existing piles were produced from well-calibrated numerical analyses of hypothetical cases, using the three-dimensional finite element method. The developed equations were established through a multiple linear regression analysis of the artificial data, using the transformation technique. In addition, the three-dimensional nature of the excavation work was characterized by considering the excavation corner effect, using the plane strain ratio parameter. The estimation results of the developed equations can provide satisfactory pile bending moment and deflection data and are more accurate than those found in previous studies.

Keywords: pile responses     excavation     prediction     deflection     bending moments    

Meteorological Telecommunication Network &Computer Systems Engineering

Li Huang,Wang Chunhu

Strategic Study of CAE 2000, Volume 2, Issue 9,   Pages 101-106

Abstract:

As the information infrastructure for the meteorological services in China, meteorological telecommunicationFor the 21st century, the meteorological services in China will continue to be improved with leaps andbounds, the meteorological information infrastructure will also be further strengthened and along developedThis article introduces the developments regarding both meteorological telecommunication networks andcomputer systems, and presents the status of the construction in modernized system projects of China Meteorological

Keywords: telecommunication network     computer     systems engineering    

Influence of Human Activities on Wintertime Haze-Related Meteorological Conditions over the Jing–Jin–Ji Article

Ying Xu, Yanju Liu, Zhenyu Han, Botao Zhou, Yihui Ding, Jie Wu, Tongfei Tian, Rouke Li, Jing Wang

Engineering 2021, Volume 7, Issue 8,   Pages 1185-1192 doi: 10.1016/j.eng.2020.03.015

Abstract:

This work analyzes and discusses the influence of human activities on the meteorological conditionsThe results show that, under the influence of human activities, the changes in dynamical and thermal meteorologicalTo be specific, the dynamical meteorological factors contribute more to the haze days than the thermalmeteorological factors.The contribution of thermal meteorological factors is basically the same in both scenarios.

Keywords: Meteorological conditions     Human activities     Haze     Jing–Jin–Ji region    

Title Author Date Type Operation

The Development of the Operational System for Meteorological Prediction in China

Yan Hong,Li Zechun,Ma Qingyun,Tian Cuiying

Journal Article

Meteorological technology application and development in wind energy resources utilization

Song Lili,Zhou Rongwei,Yang Zhenbin,Zhu Rong,

Journal Article

Evaluation of the impact of multi-source uncertainties on meteorological and hydrological ensemble forecasting

Zhangkang Shu, Jianyun Zhang, Lin Wang, Junliang Jin, Ningbo Cui, Guoqing Wang, Zhouliang Sun, Yanli Liu, Zhenxin Bao, Cuishan Liu

Journal Article

Impact of anthropogenic heat emissions on meteorological parameters and air quality in Beijing using

Journal Article

Impacts of emissions and meteorological changes on China’s ozone pollution in the warm seasons of 2013

Dian Ding, Jia Xing, Shuxiao Wang, Xing Chang, Jiming Hao

Journal Article

PM2.5 over North China based on MODIS AOD and effect of meteorological elements during 2003‒2015

Youfang Chen, Yimin Zhou, Xinyi Zhao

Journal Article

The Polar Orbit Meteorological Satellite in China

Meng Zhizhong

Journal Article

The application of marine meteorological observation in tropical cyclone data assimilation

Wan Qilin,He Jinhai

Journal Article

Ground Segments for FY Meteorological Satellites

Xu Jianmin,Niu Yinsheng,Dong Chaohua,Zhang Wenjian,Yang Jun

Journal Article

Spatial prediction of soil contamination based on machine learning: a review

Journal Article

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Journal Article

Position-varying surface roughness prediction method considering compensated acceleration in milling

Journal Article

Improved prediction of pile bending moment and deflection due to adjacent braced excavation

Journal Article

Meteorological Telecommunication Network &Computer Systems Engineering

Li Huang,Wang Chunhu

Journal Article

Influence of Human Activities on Wintertime Haze-Related Meteorological Conditions over the Jing–Jin–Ji

Ying Xu, Yanju Liu, Zhenyu Han, Botao Zhou, Yihui Ding, Jie Wu, Tongfei Tian, Rouke Li, Jing Wang

Journal Article