Chunying Wang

ORCID: 0000-0002-1359-8123
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About
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Research Areas
  • Hydrology and Watershed Management Studies
  • Soil and Unsaturated Flow
  • Soil and Water Nutrient Dynamics
  • Soil erosion and sediment transport
  • Remote Sensing and Land Use
  • Groundwater flow and contamination studies
  • Smart Agriculture and AI
  • Advanced Photocatalysis Techniques
  • Library Science and Administration
  • Climate variability and models
  • Remote Sensing in Agriculture
  • Research in Cotton Cultivation
  • Groundwater and Isotope Geochemistry
  • Air Quality and Health Impacts
  • Urban Heat Island Mitigation
  • TiO2 Photocatalysis and Solar Cells
  • Plant Stress Responses and Tolerance
  • Greenhouse Technology and Climate Control
  • Dam Engineering and Safety
  • Flood Risk Assessment and Management
  • Environmental and Agricultural Sciences
  • Plant Water Relations and Carbon Dynamics
  • Spectroscopy and Chemometric Analyses
  • Environmental Impact and Sustainability
  • Geotechnical Engineering and Soil Mechanics

Shandong Agricultural University
2022-2024

North China University of Water Resources and Electric Power
2016-2024

Capital Normal University
2022-2023

China Agricultural University
2014-2023

China University of Geosciences (Beijing)
2023

China State Construction Engineering (China)
2023

Jilin Agricultural Science and Technology University
2022

Shandong Academy of Agricultural Machinery Sciences
2022

Hebei Science and Technology Department
2021

Wuhan University
2019-2020

Simulation of future climate changes, especially temperature and rainfall, is critical for water resource management, disaster mitigation, agricultural development. Based on the category-wise indicator method, two preferred Global Climate Models (GCMs) Ishikari River basin (IRB), socio-economic center Hokkaido, Japan, were examined from newly released Coupled Model Intercomparison Project Phase 6 (CMIP6). Climatic variables (maximum/minimum precipitation) projected by Statistical DownScaling...

10.1038/s41598-022-27357-7 article EN cc-by Scientific Reports 2023-01-05

It is a huge challenge for China to produce enough food on its own croplands feed population of over 1.4 billion. Plastic film mulching technology has been applied widely in the past decades and represents major player terms plastic use world. So far, series field experiments have conducted across investigate effects crop productivity. This offers an opportunity comprehensively identify yield water improvement potential their key drivers based local environmental conditions. Here, synthetic...

10.1016/j.agwat.2022.108023 article EN cc-by Agricultural Water Management 2022-11-08

Abstract. The rapid response to the COVID-19 pandemic led unprecedented decreases in economic activities, thereby reducing pollutant emissions. A random forest (RF) model was applied determine respective contributions of meteorology and anthropogenic emissions changes air quality. result suggested that strict lockdown measures significantly decreased primary components such as Cr (−67 %) Fe (−61 PM2.5 (p<0.01), whereas higher relative humidity (RH) NH3 level lower temperature (T)...

10.5194/acp-21-8677-2021 article EN cc-by Atmospheric chemistry and physics 2021-06-09

An efficient and accurate estimation of wheat growth yield is important for assessment field management. To improve the accuracy stability estimation, an method based on a genetic algorithm-improved support vector regression (GA-SVR) algorithm was proposed in this study. The correlation analysis between vegetation indices calculated from spectral data phenotypes yields performed to obtain optimal combination with high good performance. At same time, model monitoring screened constructed...

10.3390/agronomy14050991 article EN cc-by Agronomy 2024-05-08

Abstract Wheat plays a crucial role in ensuring food security. However, its complex genetic structure and trait variation pose significant challenges for breeding superior varieties. In this study, genomic prediction method wheat (WheatGP) is proposed. WheatGP designed to improve the phenotype accuracy by modeling both additive effects epistatic effects. It primarily composed of convolutional neural network (CNN) module long short-term memory (LSTM) module. The multilayer CNNs within CNN...

10.1093/bib/bbaf191 article EN cc-by-nc Briefings in Bioinformatics 2025-03-01

Parameters, such as inorganic ions and pH have different effects on the photocatalytic removal of X-3B RhB using La/Bi<sub>2</sub>WO<sub>6</sub>.

10.1039/c6ra17798k article EN RSC Advances 2016-01-01

Assessing the water footprint (WF) of crops is key to understanding agricultural consumption and improving use efficiency. This study assessed WF wheat maize in Haihe River Basin (HRB) Northern China over period1956–2015, including rain-fed, sufficient, insufficient irrigation conditions by different intensity understand status. The major findings are as follows: (1) annual average total production 20.1 (52% green, 29% blue, 19% grey) 15.1 (73% 3% 24% billion m3 year−1, respectively....

10.3390/w10070867 article EN Water 2018-06-29

To understand the mechanism of infiltration into fine textured soil with a coarse interlayer and to justify capability Richards equation-based models, ponded experiments were conducted in homogenous (loam three types sand) layered sand interlayer) columns. The HYDRUS-1D numerical software based on equation was used simulate above processes where hydraulic parameters two kinds calibrated from correspondent columns directly process Comparison between model simulations shows that able predict...

10.2136/sssaj2013.12.0535 article EN Soil Science Society of America Journal 2014-05-01

Early prediction of the growth and development plants is important for intelligent breeding process, yet accurate simulation plant phenotypes difficult. In this work, a model based on spatiotemporal long short-term memory (ST-LSTM) in network (MIM) was proposed to predict image sequences future including organs such as ears. A novel dataset wheat also compiled. The performance evaluated by calculating structural similarity index measure (SSIM), mean square error (MSE), peak signal noise...

10.3390/agronomy12092213 article EN cc-by Agronomy 2022-09-16

PM2.5 pollution remains a significant concern in China due to its adverse environmental and health implications. This study aims explore depth the differences causes of between some regions based on high temporal resolution component information. We used particulate matter chemical composition vehicle (PMCCV) as mobile monitoring platform which travelled among 23 cities from March 2018 December 2019 collect concentrations data. Observations revealed that were notably higher northern compared...

10.3390/su16062340 article EN Sustainability 2024-03-12

Hierarchical Bayesian (HB) methods are useful tools for modeling multifaceted, nonlinear phenomena such as those encountered in ecology, and have been increasingly applied environmental sciences, e.g., to estimate soil gas flux from different textures or sites. We developed a model of carbon dioxide (CO2) based on temperature (T, 5 cm depth) water-filled pore space (WFPS, using HB theory. The was calibrated dataset CO2 measured bare soils belonging four texture classes 14 upland field sites...

10.1080/00380768.2014.978728 article EN Soil Science & Plant Nutrition 2014-11-14

Based on statistical analysis, baseflow separation and wavelet this research was carried out in Shibetsu River Watershed (SRW), Eastern Hokkaido, Japan, to investigate the integrated effects of land use topography streamflow response precipitation. The agriculture-dominated sub-watershed (AW) showed coupled flat topography/agriculture characteristics, forest-dominated (FW) had steep topography/forest mixed agriculture-forested (AFW) characteristics. Precipitation variability is characterized...

10.3390/w10050633 article EN Water 2018-05-13
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