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17 results on '"Si, Ruirui"'

5. Evaluating the Effects of the 'Pilot Zone' Policy on China's Agricultural Green Development.

Author

Yao, Lanlan, Si, Wenxuan, and Si, Ruirui

Abstract

Green agriculture is a new sustainable agricultural development model that coordinates agricultural development with the environment which has been vigorously promoted in China in recent years. With the support of national policies, China has set up 130 pilot zones for green agricultural development. Taking these pilot zones as quasi-natural experimental areas, the difference-in-differences (DID) method and agricultural green total factor productivity are used to evaluate the effect of the policy in the pilot zones. The findings indicate that the pilot zones notably diminish non-point source agricultural pollution without affecting agricultural added value and improve agricultural green total factor productivity by improving technical efficiency. Heterogeneity analysis shows that the effectiveness of this policy varies regionally. The eastern region of China, the main agricultural producing areas, and the regions with higher initial environmental pollution levels and abundant educational resources experience more pronounced benefits. Based on the regional characteristics of different regions, this study considers the factors such as agricultural resource endowment and development basis and explores how the policy effects of agricultural green development in different regions, which has certain guiding significance for the continuous improvement in China's agricultural green development policies. [ABSTRACT FROM AUTHOR]

Published
2024
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10. A new approach of the normalization relationship between PM2.5 and visibility and the theoretical threshold, a case in north China

Author

Wu, Xinrui, primary, Xin, Jinyuan, additional, Zhang, Xiaoling, additional, Klaus, Schafer, additional, Wang, Yuesi, additional, Wang, Lili, additional, Wen, Tianxue, additional, Liu, Zirui, additional, Si, Ruirui, additional, Liu, Guangjing, additional, Zhao, Lei, additional, Wang, Shigong, additional, Fan, Guangzhou, additional, and Gao, Wenkang, additional

Published
2020
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17. Comparative research on visibility and light extinction of PM2.5components during 2014–17 in the North China plain

Author

Wu, Xinrui, Xin, Jinyuan, Zhang, Xiaoling, Si, Ruirui, Liu, Guangjing, Li, An'na, Wen, Tianxue, Liu, Zirui, Wang, Shigong, Fan, Guangzhou, Wang, Yuesi, Wang, Lili, and Gao, Wenkang

Abstract

Severe air pollution with visibility deterioration has long been a focus in the North China Plain (NCP). In this study, concentration and light extinction analysis of PM2.5chemical components were carried out from 2014 to 2017 to study the pollution characteristics in Baoding, a case city of the NCP. The annual average concentration of total PM2.5components showed a declining trend, decreasing by 11 µg m−3(water-soluble inorganic ions), 23 µg m−3(carbonaceous aerosols), and 1796 ng m−3(inorganic elements). Contributing 82.9% to the concentration of total ions, the dominant components, NH4+, NO3−, and SO42−became the main pollutants in PM2.5pollution. Based on the IMPROVE algorithm, the average reconstructed PM2.5mass concentration was 93 ± 69 µg m−3during the observation period. Meanwhile, the light extinction coefficients were 373.8 ± 233.6 M m−1, 405.3 ± 300.1 M m−1, 554.3 ± 378.2 M m−1and 1005.2 ± 750.3 M m−1, in spring, summer, autumn, and winter, respectively. Ammonium sulfate, ammonium nitrate, and organic matter were the largest contributors to light extinction, accounting for a total of 55%–77% in the four seasons. The bsca(light scattering by particles and gases) reconstructed from PM2.5components (Rbsca) and the bscaconverted from visibility (Vbsca) were compared to evaluate the performance of the IMPROVE algorithm, revealing a high correlation coefficient of 0.84. The high values of Vbscawere underestimated while the low values were overestimated, as determined through comparison with the one-to-ne line. Especially, when Rbsca> 1123 M m−1(corresponding to < 2.0 km, approximately), Vbscawas underestimated by 17.6%. PM2.5mass concentration and relative humidity also had an impact on the estimation.

Published
2021
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