Search Results - "Cun Zhan"

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  1. 1

    Drought-related cumulative and time-lag effects on vegetation dynamics across the Yellow River Basin, China by Zhan, Cun, Liang, Chuan, Zhao, Lu, Jiang, Shouzheng, Niu, Kaijie, Zhang, Yaling

    Published in Ecological indicators (01-10-2022)
    “…•Accumulated (lagged) drought significantly affected 50% (60%) of the vegetated area in the YRB.•Vegetation in the arid zone tended to be more sensitive and…”
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    Journal Article
  2. 2

    Detection and Attribution of Vegetation Dynamics in the Yellow River Basin Based on Long-Term Kernel NDVI Data by Yu, Haiying, Yang, Qianhua, Jiang, Shouzheng, Zhan, Bao, Zhan, Cun

    Published in Remote sensing (Basel, Switzerland) (01-04-2024)
    “…Detecting and attributing vegetation variations in the Yellow River Basin (YRB) is vital for adjusting ecological restoration strategies to address the…”
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    Journal Article
  3. 3

    Risk analysis of natural water resources scarcity based on a stochastic simulation model in the hilly area of southwest China by Zhang, Yaling, Liang, Chuan, Zhao, Lu, Guan, Yunjie, Jiang, Shouzheng, Zhan, Cun, Du, Pu

    “…The reliable agricultural water scarcity risk assessment depends on the accurate agricultural water supply and demand data series, and the crop water…”
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    Journal Article
  4. 4

    A Comprehensive Analysis of Vegetation Dynamics and Their Response to Climate Change in the Loess Plateau: Insight from Long-Term kernel Normalized Difference Vegetation Index Data by Qingyan He, Qianhua Yang, Shouzheng Jiang, Cun Zhan

    Published in Forests (01-03-2024)
    “…The Loess Plateau (LP) is a typical climate-sensitive and ecologically delicate area in China. Clarifying the vegetation–climate interaction in the LP over 40+…”
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    Journal Article
  5. 5

    Machine learning models for daily net radiation prediction across different climatic zones of China by Yu, Haiying, Jiang, Shouzheng, Chen, Minzhi, Wang, Mingjun, Shi, Rui, Li, Songyu, Wu, Jinfeng, Kui, Xiu, Zou, Haoting, Zhan, Cun

    Published in Scientific reports (03-09-2024)
    “…Net radiation (R n ), a critical component in land surface energy cycling, is calculated as the difference between net shortwave radiation and longwave…”
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  6. 6

    Detection and attribution of vegetation dynamics in the National Barrier Zone of China by considering climate temporal effects by Zhan, Cun, Liang, Chuan, Zhao, Lu, Jiang, Shouzheng, Niu, Kaijie, Zhang, Yaling, Cheng, Long

    “…•The Grain for Green Program (GGP) greatly benefited vegetation in the NBZ.•Temporal effects of climate variables affected 75% vegetated areas in the NBZ.•The…”
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  7. 7

    Machine Learning-Based Estimation of Daily Cropland Evapotranspiration in Diverse Climate Zones by Du, Changmin, Jiang, Shouzheng, Chen, Chuqiang, Guo, Qianyue, He, Qingyan, Zhan, Cun

    Published in Remote sensing (Basel, Switzerland) (01-03-2024)
    “…The accurate prediction of cropland evapotranspiration (ET) is of utmost importance for effective irrigation and optimal water resource management. To evaluate…”
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  8. 8

    Vegetation Dynamics and its Response to Climate Change in the Yellow River Basin, China by Zhan, Cun, Liang, Chuan, Zhao, Lu, Jiang, Shouzheng, Niu, Kaijie, Zhang, Yaling, Cheng, Long

    Published in Frontiers in environmental science (25-04-2022)
    “…As an important ecological corridor, the Yellow River basin (YRB) is crucial for the eco-environmental security and sustainable socio-economic development of…”
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    Journal Article
  9. 9

    Differential responses of crop yields to multi-timescale drought in mainland China: Spatiotemporal patterns and climate drivers by Zhan, Cun, Liang, Chuan, Zhao, Lu, Jiang, Shouzheng, Zhang, Yaling

    Published in The Science of the total environment (01-01-2024)
    “…Increasingly frequent and severe droughts pose a growing threat to food security in China. However, our understanding of how different crops respond to…”
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    Journal Article
  10. 10

    Estimating daily reference evapotranspiration using a novel hybrid deep learning model by Xing, Liwen, Cui, Ningbo, Guo, Li, Du, Taisheng, Gong, Daozhi, Zhan, Cun, Zhao, Long, Wu, Zongjun

    Published in Journal of hydrology (Amsterdam) (01-11-2022)
    “…•Hybrid deep learning model achieved the best performance for estimating daily ET0.•Rn– were superior to RH– and T–based ET0 models on the Loess Plateau.•RH–…”
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    Journal Article
  11. 11

    Multifractal characteristics of multiscale drought in the Yellow River Basin, China by Zhan, Cun, Liang, Chuan, Zhao, Lu, Jiang, Shouzheng, Niu, Kaijie, Zhang, Yaling

    Published in Physica A (01-01-2023)
    “…As a climate-sensitive area in China, the Yellow River Basin (YRB) is increasingly affected by droughts resulting from climate change and frequent human…”
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  12. 12

    Encounter risk analysis of crop water requirements and effective precipitation based on the copula method in the Hilly Area of Southwest China by Zhang, Yaling, Guo, Li, Liang, Chuan, Zhao, Lu, Wang, Junqin, Zhan, Cun, Jiang, Shouzheng

    Published in Agricultural water management (31-05-2022)
    “…The effective precipitation (Pe) and crop water requirements (ETc) can reflect the agricultural water supply and demand situations under natural precipitation…”
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    Journal Article
  13. 13

    Multifractal characteristics analysis of daily reference evapotranspiration in different climate zones of China by Zhan, Cun, Liang, Chuan, Zhao, Lu, Zhang, Yaling, Cheng, Long, Jiang, Shouzheng, Xing, Liwen

    Published in Physica A (01-12-2021)
    “…As a critical hydrological cycle parameter, reference evapotranspiration (ET0) plays a vital role in guiding agricultural water management. Analyzing the…”
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  14. 14

    Optimization of canopy resistance models for estimating evapotranspiration on summer maize in a semi-arid condition of China by Zhan, Cun, Zhao, Lu, Zhang, Yaling, Lin, Xinbei, Zhou, Gang, Zheng, Zetao

    Published in Irrigation science (01-05-2024)
    “…Accurate estimation of evapotranspiration ( ET ) is crucial for improving crop water-use efficiency and facilitating precision irrigation. The Penman–Monteith…”
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  15. 15

    Estimation of daily apple tree transpiration in the Loess Plateau region of China using deep learning models by Xing, Liwen, Cui, Ningbo, Liu, Chunwei, Zhao, Lu, Guo, Li, Du, Taisheng, Zhan, Cun, Wu, Zongjun, Wen, Shenglin, Jiang, Shouzheng

    Published in Agricultural water management (01-11-2022)
    “…Quantitatively characterizing and accurately predicting plant transpiration are of great significance, but directly measuring transpiration is impractical,…”
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    Journal Article
  16. 16

    Comparison Study of Polysomnographic Features in Multiple System Atrophy-cerebellar Types Combined with and without Rapid Eye Movement Sleep Behavior Disorder by Ding, Yan, Hu, Yue-Qing, Zhan, Shu-Qin, Li, Cun-Jiang, Wang, Hong-Xing, Wang, Yu-Ping

    Published in Chinese medical journal (20-09-2016)
    “…Background: The brain stem is found to be impaired in multiple system atrophy-ccrcbellar types (MSA-C). Rapid eye movement (REM) sleep behavior disorder (RBD)…”
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  17. 17
  18. 18

    Determination of a Reasonable Percentage for Ecological Water-Use in the Haihe River Basin, China by XIA, Jun, FENG, Hua-Li, ZHAN, Che-Sheng, NIU, Cun-Wen

    Published in Pedosphere (01-02-2006)
    “…An investigation was conducted to study problems of determining a reasonable percentage for ecological water-use in the Haihe River Basin of China. Three key…”
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  19. 19

    Study of the Correlation of EGFR and K-RAS Gene Mutations with Its Protein Expression in Non-small Cell Lung Cancer by Luan, Huan-ling, Sun, Lei-na, Dong, Na, Guo, Yan, Sun, Bao-cun, Zhan, Zhong-li

    Published in Cancer biology & medicine (01-04-2010)
    “…OBJECTIVE To investigate gene mutations of epidermal growth factor receptor (EGFR) and K-RAS (Kirsten rat sarcoma viral oncogene) in Chinese patients with…”
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