scholarly journals Discussion on a big data information processing model: Taking the fiscal quality evaluation of the Pearl River Delta as an example

2022 ◽  
Vol 355 ◽  
pp. 02049
Author(s):  
Yufeng Shi ◽  
Jiaohui Tang ◽  
Bin Du

Under the background of vigorously promoting the high-quality economic development model in China, this paper proposes a Dynamic Double Index model to evaluate the fiscal output quality of cities in the Pearl River Delta. The empirical results show that Shenzhen, Guangzhou are at a high quality level, while Zhuhai, Foshan, Huizhou, Zhongshan and Dongguan are at a low quality level. This empirical result is consistent with the fact that Shenzhen has industrial tax source advantages, Guangzhou has consumption tax source advantages, but Zhuhai, Foshan, Huizhou Zhongshan and Dongguan do not have advantages. At the same time, the consistency also proves that the Dynamic Double Index model has accurate measurement function and can be used as a powerful tool to deal with big data information problems.

2010 ◽  
Vol 29 (6) ◽  
pp. 35-42
Author(s):  
Jianhua WANG ◽  
Linglong CAO ◽  
Xiaojing WANG ◽  
Xiaoqiang YANG ◽  
Jie YANG ◽  
...  

Wetlands ◽  
2021 ◽  
Vol 41 (4) ◽  
Author(s):  
Xiao-Shan Fang ◽  
Shuang Liu ◽  
Wei-Zhi Chen ◽  
Ren-Zhi Wu

AbstractThe Guangdong Xinhui National Wetland Park (GXNWP) in the Pearl River Delta is an important stopover for migratory birds in China and East Asia. Due to high levels of interference, high sensitivity and fragile environmental constraints, an efficient method to assess the health status of wetland parks such as the GXNWP is urgently needed for sustainable development. In this study, we proposed a habitat-landscape-service (HLS) conceptual model that can be used at the site scale to evaluate health status in terms of habitats, landscapes and services by considering the complex ecosystem of wetland parks. This HLS model included 28 evaluation indicators, and the indicator weights and health-grade divisions were based on expert scores using both the analytic hierarchy process (AHP) and fuzzy comprehension evaluation (FCE) methods. The results showed that the health status of the GXNWP was at the “subhealthy” level, with a membership function of 0.4643. This study found that habitat indicators (0.5715) were the key factors affecting the GXNWP health status, followed by service indicators (0.2856) and landscape indicators (0.1429). The HLS-AHP-FCE method provides a holistic health evaluation indicator system and diagnostic approach for rapidly developing wetland parks in the Pearl River Delta, China.


Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 749
Author(s):  
Yuan Gao ◽  
Zini Lai ◽  
Chao Wang ◽  
Haiyan Li ◽  
Yongzhan Mai

Water pollution can be monitored through the use of indicator species, including Brachionus calyciflorus. To do this, it is necessary to understand the species’ population ecology. Four surveys of zooplankton were conducted in May, August, and December 2018 and February 2019 in the Pearl River Delta, China, to examine the population characteristics of B. calyciflorus. The temporal and spatial distribution of abundance, biomass, dominance, and occurrence frequency were compared with those from 2012 to investigate the relationship between changes in the population of B. calyciflorus and environmental factors. The average abundance, dominance, and occurrence of B. calyciflorus in this survey were significantly higher than those of 2012 in all seasons. Principal component analysis showed that environmental factors such as the temperature, transparency, total nitrogen, and total phosphorus of water had a major impact on the abundance of B. calyciflorus. There was a significant positive correlation with transparency, total nitrogen, and total phosphorus of water, and a very significant positive correlation with water temperature. Overall, these results demonstrated that the distribution characteristics of B. calyciflorus can reflect pollution in water bodies and can be used to evaluate water quality. These research results provide a reference for evaluating China’s river health and can help to manage water quality in the Pearl River Delta.


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