Zikang Jia

ORCID: 0000-0002-5350-4152
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About
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Research Areas
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Cryospheric studies and observations
  • Oceanographic and Atmospheric Processes
  • Arctic and Antarctic ice dynamics
  • Atmospheric and Environmental Gas Dynamics
  • Climate Change and Health Impacts
  • Air Quality Monitoring and Forecasting
  • Nonlocal and gradient elasticity in micro/nano structures
  • Conducting polymers and applications
  • Rock Mechanics and Modeling
  • Advanced Sensor and Energy Harvesting Materials
  • COVID-19 impact on air quality
  • Tropical and Extratropical Cyclones Research
  • Electrospun Nanofibers in Biomedical Applications
  • Precipitation Measurement and Analysis
  • Geotechnical and Geomechanical Engineering
  • Air Quality and Health Impacts

Jiangsu University of Science and Technology
2025

Qufu Normal University
2024

Lanzhou University
2019-2022

Beijing Institute of Petrochemical Technology
2020

In this article, we propose a new numerical approach, abbreviated as Cos-SDA, for analyzing flexural deformation problems of geomaterials. The Cos-SDA is achieved by implanting the strong discontinuity approach (SDA) into computational framework Cosserat continuum finite element (Cos-FEA). Most Cos-FEA based on Mohr–Coulomb (M-C) criterion at present. However, M-C yield surface not smooth because hexagonal corners, which can cause difficulties in Cos-FEA. Drucker–Prager (D-P) be viewed...

10.3390/app15073604 article EN cc-by Applied Sciences 2025-03-25

Abstract By using the hindcast and forecast data from National Centers for Environmental Prediction Climate Forecast System version 2 (NCEP CFSv2) 1982–2018 period, we investigate forecasting skills of mid‐summer (July August) surface air temperature (SAT) at interannual timescales in this study. Although CFSv2 predictions show a warm bias climatological mean SAT over Yangtze River valley (25°–32°N, 105°–122°E), they consistent great performance predicting variability region until 4 months...

10.1002/joc.6670 article EN International Journal of Climatology 2020-05-18

Abstract Sea surface temperature anomalies (SSTAs), including their spatial patterns and temporal evolution, are an important source of potential predictability for climate anomalies, especially on seasonal to interannual timescales. In this study, the evolution tropical SSTAs identified by applying extended empirical orthogonal function (EEOF) analysis observed data from autumn following spring. The positive phase first EEOF mode (EEOF1) displays El Niño–Southern Oscillation (ENSO)...

10.1002/joc.6361 article EN International Journal of Climatology 2019-10-14

Electrospinning and silver mirror reaction (SMR) were combined to synthesize nanowire membrane. The best sheet resistance (Rs) transmittance (T) values reach around 15 Ω/sq 80% on PET, 37 81% glass, respectively. In this method, Poly(acrylonitrile – co phenylethylene) (P(AN-S)) nanofibers act as the templates reduction of surface seeds. SMR process, deposited developed into nanowires. membrane was characterized by scanning electron microscopy (SEM), energy dispersive spectrometer (EDS) X-ray...

10.1080/09276440.2020.1812947 article EN Composite Interfaces 2020-08-26

The intraseasonal variations of summer precipitation anomalies in the Meiyu area East Asia are analyzed by applying a combined empirical orthogonal function (CEOF) latest meteorological reanalysis data ERA5 European Center for Medium-Range Weather Forecasts period from 1991 to 2020, and circulation structures sources variability CEOF also investigated. first mode shows an in-phase pattern over June, July, August, accounting 22.2% total variance anomalies. positive (negative) CEOF1 is...

10.3390/atmos13020217 article EN cc-by Atmosphere 2022-01-28

<p>During the COVID-19 pandemic outbreak at beginning of 2020, many Chinese urban agglomerations experienced noticeable air quality improvement. For example, recent analysis surface measurements suggested that concentration NO<sub>2</sub> decreased by on average 30% during lockdown period in China 2020 compared to 2019, although how much this reduction is due or other factors (such as weather variation) uncertain. We apply TROPOMI (Tropospheric Ozone...

10.5194/egusphere-egu21-11969 article EN 2021-03-04

Abstract The maximum signal-to-noise empirical orthogonal function (MSN EOF) method is used to evaluate the midsummer 2-m air temperature (T2m) over Eastern China of subseasonal seasonal scale forecast data in ECMWF model, and investigate underlying mechanisms between modes predictable sources. first pattern mainly presents dipole mode positive value south negative north. model captures signal transition from preceding El Niño La Niña accompanying tropical Indian Ocean warm surface...

10.21203/rs.3.rs-999090/v1 preprint EN cc-by Research Square (Research Square) 2021-10-29

Abstract ERA-Interim reanalysis data from 1979–2017 are utilized to analyze the intraseasonal and interannual variabilities in moisture transport associated with summer rainfall over East China. Three key issues of sources for China precipitation discussed this study: identification primary precipitation, determination their individual contributions variation extent which each source affects during peak monsoon period (PMRP). Through Lagrangian method, water vapor is divided into six...

10.21203/rs.3.rs-303846/v1 preprint EN cc-by Research Square (Research Square) 2021-03-13
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