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  1. Article ; Online: Identification and prediction of climate factors based on factor analysis and a grey prediction model in China.

    Lin, Shudong / Wei, Kai / Lei, Qingyuan / Shao, Fanfan / Wang, Quanjiu / Deng, Mingjiang / Su, Lijun

    Environmental monitoring and assessment

    2023  Volume 195, Issue 6, Page(s) 751

    Abstract: Identifying and predicting the impacts of climate change are crucial for various purposes, such as maintaining biodiversity, agricultural production, ecological security, and environmental conservation in different regions. In this paper, we used the ... ...

    Abstract Identifying and predicting the impacts of climate change are crucial for various purposes, such as maintaining biodiversity, agricultural production, ecological security, and environmental conservation in different regions. In this paper, we used the surface pressure (SP), surface temperature (ST), 2-m air temperature (AT), 2-m dewpoint temperature (DT), 10-m wind speed (WS), precipitation (PRE), relative humidity (RH), actual evapotranspiration (ET
    MeSH term(s) Environmental Monitoring ; China ; Weather ; Beijing ; Climate Change ; Temperature ; Factor Analysis, Statistical ; Ecosystem
    Language English
    Publishing date 2023-05-29
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 782621-7
    ISSN 1573-2959 ; 0167-6369
    ISSN (online) 1573-2959
    ISSN 0167-6369
    DOI 10.1007/s10661-023-11343-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Effects of drip irrigation nitrogen coupling on dry matter accumulation and yield of Summer Maize in arid areas of China

    Ma, Liang / Zhang, Xu / Lei, Qingyuan / Liu, Feng

    Field crops research. 2021 Dec. 01, v. 274

    2021  

    Abstract: To explore the effects of irrigation and nitrogen on dry matter accumulation (DMA) and yield of summer maize in arid regions, field experiments were conducted in experimental plot in 2017 and 2018. There were three drip irrigation quotas (3000 m³/hm², ... ...

    Abstract To explore the effects of irrigation and nitrogen on dry matter accumulation (DMA) and yield of summer maize in arid regions, field experiments were conducted in experimental plot in 2017 and 2018. There were three drip irrigation quotas (3000 m³/hm², 3750 m³/hm², and 4500 m³/hm²) and four nitrogen levels (no nitrogen applied, 168 kg/hm², 306.5 kg/hm², and 444.5 kg/hm²) set in the experiment. The Richards model was used to fit the relationship of DMA and irrigation quantity or nitrogen level, and then the dynamics of DMA of maize were investigated. Furthermore, the effects of irrigation and nitrogen on maize grain yield were analyzed. Results showed that the maximum and average DMA rates in maize plants increased as irrigation quota increased from 3000 to 3750 m³/hm² and as the applied nitrogen increased from 0 to 306.5 kg/hm². Maize plants under the condition of irrigation 3750 m³/hm² together with nitrogen 306.5 kg/hm² showed the maximum dry matter growth rate (GRₘₐₓ), the maximum average dry matter growth rate (GRₐᵥg), the maximum duration of dry matter fast growth period, and the maximum DMA and grain yield. The maximum grain yield was up to 1.340 × 10⁴ kg/hm² and 1.291 × 10⁴ kg/hm² in 2017 and 2018, respectively. However, when the irrigation quota was increased to 4500 m³/hm² and the nitrogen application rate was up to 444.5 kg/ hm², GRₘₐₓ, GRₐᵥg, and yield of maize were all decreased with the increase of irrigation quantity, this law is reproducible between years. So the management practice of irrigation 3750 m³/hm² along with nitrogen 306.5 kg/hm² is optimal for maize production in the experimental region. Furthermore, a stepwise regression model was established to predict grain yield (Y₁) on the basis of the characteristic parameters of the Richards model, and the regression model was: Y₁ = 0.499YGRₘₐₓ+0.074GRₐᵥg-6.399x₂+2.25, R² = 0.803. The contribution rate of each characteristic parameter to yield prediction model from high to low was: YGRₘₐₓ>GRₐᵥg>x₂. GRₐᵥg was extremely positive correlated with the final DMA and yield of maize, the study would provide technical basis for the efficient utilization of water and nitrogen in arid regions.
    Keywords Zea mays ; corn ; dry matter accumulation ; fertilizer rates ; grain yield ; irrigation rates ; microirrigation ; models ; nitrogen ; regression analysis ; research ; yield forecasting ; China
    Language English
    Dates of publication 2021-1201
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 435684-6
    ISSN 1872-6852 ; 0378-4290
    ISSN (online) 1872-6852
    ISSN 0378-4290
    DOI 10.1016/j.fcr.2021.108321
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  3. Article ; Online: Clean and efficient synthesis of LiFePO

    Lei, Qingyuan / Zhou, Kanggen / Zhang, Xuekai / Salih, Khalid A M / Peng, Changhong / He, Dewen / Chen, Wei

    Waste management (New York, N.Y.)

    2023  Volume 174, Page(s) 362–370

    Abstract: Large amounts of titanium white waste are generated in the production of titanium dioxide using sulphate method, which in turn can be used to prepare ... ...

    Abstract Large amounts of titanium white waste are generated in the production of titanium dioxide using sulphate method, which in turn can be used to prepare LiFePO
    MeSH term(s) Iron/chemistry ; Lithium/chemistry ; Calcium ; Phosphates/chemistry ; Electrodes ; Calcium Phosphates ; Ferric Compounds ; Titanium
    Chemical Substances titanium dioxide (15FIX9V2JP) ; Iron (E1UOL152H7) ; Lithium (9FN79X2M3F) ; Calcium (SY7Q814VUP) ; Phosphates ; ferric phosphate (N6BAA189V1) ; calcium phosphate (97Z1WI3NDX) ; Calcium Phosphates ; Ferric Compounds ; Titanium (D1JT611TNE)
    Language English
    Publishing date 2023-12-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2001471-5
    ISSN 1879-2456 ; 0956-053X
    ISSN (online) 1879-2456
    ISSN 0956-053X
    DOI 10.1016/j.wasman.2023.12.019
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