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  • 基于模糊数学的甘肃河东地区短时暴雨的大气环境参数综合评价研究

    Subjects: Geosciences >> Atmospheric Sciences submitted time 2023-05-30 Cooperative journals: 《干旱区研究》

    Abstract: It is necessary to comprehensively evaluate the influence of various atmospheric environmental parameters on short-duration rainstorm forecasts in the Hedong region of Gansu Province in order to improve the short- duration rainstorm forecast equation and accuracy. Based on precipitation data from the flood season of 2013 to 2018 in the Hedong region of Gansu Province, using the percentile method, the threshold of shortduration rainstorms from June to August in Hedong was calculated. Ninety-two cases of short-duration rainstorms in the Hedong region of Gansu Province were selected based on the threshold of time- to- storm rain. Using ECMWF 0.25°×0.25° reanalysis data to analyze the atmospheric environmental parameters, it was found that the K index, relative humidity of 700 hPa, the atmospheric precipitable amount, and other parameters are good indicators of short-duration rainstorms in the Hedong region of Gansu Province. Based on the method of fuzzy mathematics, considering the significance and moderation, a comprehensive evaluation plan for 28 atmospheric environmental parameters was constructed, and the weights of atmospheric environmental parameters in different periods were obtained. The analysis shows that, when short-duration rainstorms occur in the flood season in the Hedong region of Gansu Province, the weights of atmospheric environmental parameters differ in different
    periods. When forecasting a short-duration rainstorm, the weight of atmospheric environmental parameters in the
    period in which it is located should be considered, and the parameters with the highest weight ranking should
    mainly be considered.

  • 基于Informer 神经网络的农产品物流需求预测分析——以华中地区为例

    Subjects: Agriculture, Forestry,Livestock & Aquatic Products Science >> Other Disciplines of Agriculture, Forestry,Livestock & Aquatic Products Science submitted time 2023-05-15 Cooperative journals: 《智慧农业(中英文)》

    Abstract: Ensuring the stability of agricultural products logistics is the key to ensuring people's livelihood. The forecast of agricultural products logistics demand is an important guarantee for rational planning of agricultural products logistics stability. However, the forecasting of agricultural products logistics demand is actually complicated, and it will be affected by various factors in the forecasting process. Therefore, in order to ensure the accuracy of forecasting the logistics demand of agricultural products, many influencing factors need to be considered. In this study, the logistics demand of agricultural products is taken as the research object, relevant indicators from 2017 to 2021 were selected as characteristic independent variables and a neural network model for forecasting the logistics demand of agricultural products was constructed by using Informer neural network. Taking Henan province, Hubei province and Hunan province in Central China as examples, the logistics demands of agricultural products in the three provinces were predicted. At the same time, long short-term memory network (LSTM) and Transformer neural network were used to forecast the demand of agricultural products logistics in three provinces of Central China, and the prediction results of the three models were compared. The results showed that the average percentage of prediction test error based on Informer neural network model constructed in this study was 3.39%, which was lower than that of LSTM and Transformer neural network models of 4.43% and 4.35%. The predicted value of Informer neural network model for three provinces was close to the actual value. The predicted value of Henan province in 2021 was 4185.33, the actual value was 4048.10, and the error was 3.389%. The predicted value of Hubei province in 2021 was 2503.64, the actual value was 2421.78, and the error was 3.380%. The predicted value of Hunan province in 2021 was 2933.31, the actual value was 2836.86, and the error was 3.340%. Therefore, it showed that the model can accurately predict the demand of agricultural products logistics in three provinces of Central China, and can provide a basis for rational planning and policy making of agricultural products logistics. Finally, the model and parameters were used to predict the logistics demand of agricultural products in Henan, Hunan, and Hubei provinces in 2023, and the predicted value of Henan province in 2023 was 4217.13; Hubei province was 2521.47, and Hunan province was 2974.65, respectively. The predicted values for the three provinces in 2023 are higher than the predicted values in 2021. Therefore, based on the logistics and transportation supporting facilities in 2021, it is necessary to ensure logistics and transportation efficiency and strengthen logistics and transportation capacity, so as to meet the growing logistics demand in Central China.

  • 发展长穗偃麦草,建设“滨海草带”

    Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-05-08 Cooperative journals: 《中国科学院院刊》

    Abstract: Tall wheatgrass (Elytrigia elongata) is a perennial cool-season bunchgrass with high productivity and tolerance to salt and alkali, waterlogging, and drought. Since first introduced into China in 1950s, tall wheatgrass has long been used as a wild parent for distant hybridization with wheat (Triticum aestivum). During 1980s─1990s, a few tall wheatgrass varieties were introduced to China as forage grass, nonetheless, currently they are still not widely cultivated and no variety was certificated. In 2020, Zhensheng Li put forward a proposal to construct “Coastal Grass Belt” on saline and alkaline soils in the Circum-Bohai sea region, which provides an opportunity for the industrialization of tall wheatgrass in China. This paper introduces the background, main characteristics, history and status of tall wheatgrass and put forward suggestions for industrialization of tall wheatgrass in China. In order to promote utilization of tall wheatgrass in China, the authors suggested constructing demonstration models of “Coastal Grass Belt” and demonstration farms for livestock in the “Coastal Grass Belt” targeted area. Leading companies should be fostered to form a complete industrial chain of “leading companies + professional cooperatives/ large growers”. In addition, basic research, breeding, and seed industrialization should be carried out and accelerated. Meantime, policy and funds from government’s support should also be considered. “Coastal Grass Belt” can not only solve the shortage of high-quality forage grass in China, but also establish ecological barrier and protect the ecological environment.

  • Analysis and Review on Gene Editing

    Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》

    Abstract: Gene editing technology is a very important bioengineering technology, which is widely used in biomedicine, biological environmental protection, and agricultural production. Based on the analysis of patents and articles related to gene editing, this study reveals the development status and trend of gene editing technology from the following aspects: Patent application and publication of major global institutions, overview of CRISPR technology patents, cooperation among patent inventors in various countries, analysis of technology flow direction, technology composition, and status of main innovation subjects. Countermeasures and suggestions on the original technology innovation, industrialization process, and international collaboration are put forward for researchers and decision makers in the related fields.

  • 1981—2018 年庆阳市气候舒适度特征分析及评价

    Subjects: Geosciences >> Atmospheric Sciences submitted time 2021-01-07 Cooperative journals: 《干旱区地理》

    Abstract: 为了对庆阳市气候资源特征进行分析和评价,指导当地城乡规划建设及旅游业的发展,利 用庆阳市 1981—2018年8个气象观测站逐日气温、降水、风速、相对湿度、日照时数等资料,计算当地气候舒适度的 4 种参数,分析庆阳市气候舒适度时空变化特征,结果表明:庆阳市春季、秋季偏 冷,夏无酷暑,温暖舒适,冬季寒冷,较不舒适;温湿指数、风效指数、穿衣指数年际变化特征显示, 四季气候均有向暖发展的趋势,春季和夏季变化趋势极显著,秋季和冬季变化显著性较弱;综合指 数年际波动大,夏季气候趋于不舒适,其余季节均趋于舒适;气候舒适期年内分布特征显示,5~9 月 为全市气候舒适期,适合开展旅游活动;5 月和 9 月舒适度空间分布的总体特征是西部高,东部低, 6~8 月均为东南部高,西部、北部低;舒适度月变化总体特征为,5 月>6 月>9 月>8 月>7 月。