scholarly journals Intergenerational Justice and Solidarity on Sustainability in China: A Case Study in Nanjing, Yangtze River Delta

2018 ◽  
Vol 10 (11) ◽  
pp. 4296
Author(s):  
Mei Zhang
Keyword(s):  
Cultural Change ◽  
Yangtze River ◽  
Large Scale ◽  
Age Groups ◽  
Yangtze River Delta ◽  
River Delta ◽  
Intergenerational Justice ◽  
Sustainability Issue ◽  
Significant Difference ◽  
Personal Level

The aim of this paper is to examine systematically the intergenerational justice and solidarity on sustainability in China, which is fundamental for achieving social/cultural change, whereas this is threatened by environmental unsustainability. A questionnaire survey with a sample size of 752 was carried out in Nanjing, Yangtze River Delta, China, with different age groups, and in the meantime, a series of qualitative studies was carried out through in-depth interviews and focus groups. It is shown that: with increasing age, people are more concerned about general and large-scale sustainability issue, whereas for smaller scale and immediate sustainability issues, there is no clear tendency with increasing age; older generations are more concerned about the causes of climate changes; in terms of responsibility for environmental problems, there are statistically-significant view changes with increasing age; for priority considerations in sustainability, among age groups, at the personal level, there is generally no statistically-significant difference, whereas at the public level, there are some statistically-significant differences; for preserving the future, there is generally no statistically-significant difference among age groups. Overall, there are considerable differences in intergenerational justice on sustainability, although there are still indications of solidarity among generations.

Crustacean zooplankton community in relation to physicochemical factors and phytoplankton of 13 waterbodies located in the Yangtze River delta

2019 ◽  
Vol 55 ◽  
pp. 16
Author(s):  
Wenzhi Wei ◽  
Hang Zhuang ◽  
Yingying Zhang ◽  
Liufu Wang
Keyword(s):  
Yangtze River ◽  
Zooplankton Community ◽  
Yangtze River Delta ◽  
River Delta ◽  
Water Bodies ◽  
Crustacean Zooplankton ◽  
The Yangtze River ◽  
Physicochemical Factors ◽  
Significant Difference ◽  
The Yangtze River Delta

The relationship between crustacean zooplankton community and environmental factors remains a hot topic in eutrophication bio-monitoring subject. Most water bodies in the Yangtze River delta are mesotrophic/eutrophic, which has attracted much attention from ecologists. Nevertheless, previous studies on crustacean zooplankton community in this region only focused on their relation to physicochemical factors excluding phytoplankton. In this study, the crustacean zooplankton abundance and environmental factors (physicochemical factors and phytoplankton abundance) were investigated in Spring, Summer, Autumn and Winter in 13 waterbodies (8 lakes and 5 reservoirs) located in the Yangtze River delta. Results showed that NO2−–N and TN in Spring, SD and TP in Summer had significant difference (P < 0.05) between 8 lakes and 5 reservoirs. That may be related to microbial communities and macrophytes. All 13 studied water bodies were dominated by cyanophyta, whose Microcystis may determine the dominance of Bosmina fatalis. Moreover, eutrophic level should be in relation to the significant difference of plankton between 8 lakes and 5 reservoirs. Finally, five factors (cyanophyta, SD, WT, pH and DO) were significantly correlated with crustacean zooplankton abundance. That indicated the metabolism, reproduction, development and competitors of crustacean zooplankton were affected by these five factors. This research provided basic data of the 13 water bodies and studied the relationship between zooplankton and physicochemical factors as well as phytoplankton, providing scientific basis for the monitoring of eutrophic waterbodies located in the Yangtze river delta.

Morphodynamic impacts of large-scale engineering projects in the Yangtze River delta

2018 ◽  
Vol 141 ◽  
pp. 1-11 ◽  
Author(s):  
Hua Long Luan ◽  
Ping Xing Ding ◽  
Zheng Bing Wang ◽  
Shi Lun Yang ◽  
Jin You Lu
Keyword(s):  
Yangtze River ◽  
Large Scale ◽  
Yangtze River Delta ◽  
River Delta ◽  
The Yangtze River ◽  
Engineering Projects ◽  
The Yangtze River Delta

scholarly journals Assessing the Climate Tendency over the Yangtze River Delta, China: Properties, Dry/Wet Event Frequencies, and Causes

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2734
Author(s):  
Yanfei Wu ◽  
Yu Xu
Keyword(s):  
Yangtze River ◽  
Large Scale ◽  
Southern Oscillation ◽  
Standardized Precipitation Index ◽  
Yangtze River Delta ◽  
River Delta ◽  
The Yangtze River ◽  
Northern Regions ◽  
The Yrd ◽  
The Yangtze River Delta

In view of the important role to in revealing climate wet/dry tendency, Standardized Precipitation Index (SPI) was applied to identify wetness/dryness trends and their relationship with large-scale climate oscillations in the Yangtze River Delta (YRD) from 1957 to 2016. The daily precipitation in 43 meteorological stations was used to calculate SPI time series for a time scale of 12 months. The results indicate that there are three dominant geographic sub-regions of SPI-12 modes. Increasing trends dominate, except for some of the northern regions. High frequencies of wet and dry events are mainly located in the southern regions and part of the northwestern and southeastern regions, respectively. Temporally, large-scale dry events mainly happened in the 1960s–1970s, and wet events in the 1990s and the 2010s. They show a tendency towards more wet conditions of the regional climate in the YRD. The climate variations are primarily controlled by large-scale atmospheric oscillations. The North Atlantic Oscillation (NAO) and Southern Oscillation Index (SOI) have much higher influence on the variation of SPI in the mid and east; whereas the Pacific Decadal Oscillation (PDO) and North Pacific Index (NP) show higher correlations with SPI in the northern regions of the YRD.

scholarly journals Estimating the Impact of COVID-19 on the PM2.5 Levels in China with a Satellite-Driven Machine Learning Model

2021 ◽  
Vol 13 (7) ◽  
pp. 1351
Author(s):  
Qiulun Li ◽  
Qingyang Zhu ◽  
Muwu Xu ◽  
Yu Zhao ◽  
K. M. Venkat Narayan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Yangtze River ◽  
Large Scale ◽  
Remote Sensing Data ◽  
Yangtze River Delta ◽  
River Delta ◽  
The North ◽  
Spatial Coverage ◽  
Major Predictor ◽  
The Impact

China implemented an aggressive nationwide lockdown procedure immediately after the COVID-19 outbreak in January 2020. As China emerges from the impact of COVID-19 on national economic and industrial activities, it has become the site of a large-scale natural experiment to evaluate the impact of COVID-19 on regional air quality. However, ground measurements of fine particulate matters (PM2.5) concentrations do not offer comprehensive spatial coverage, especially in suburban and rural regions. In this study, we developed a machine learning method with satellite aerosol remote sensing data, meteorological fields and land use parameters as major predictor variables to estimate spatiotemporally resolved daily PM2.5 concentrations in China. Our study period consists of a reference semester (1 November 2018–30 April 2019) and a pandemic semester (1 November 2019–30 April 2020), with six modeling months in each semester. Each period was then divided into subperiod 1 (November and December), subperiod 2 (January and February) and subperiod 3 (March and April). The reference semester model obtained a 10-fold cross-validated R2 (RMSE) of 0.79 (17.55 μg/m3) and the pandemic semester model obtained a 10-fold cross-validated R2 (RMSE) of 0.83 (13.48 μg/m3) for daily PM2.5 predictions. Our prediction results showed high PM2.5 concentrations in the North China Plain, Yangtze River Delta, Sichuan Basin and Xinjiang Autonomous Region during the reference semester. PM2.5 levels were lowered by 4.8 μg/m3 during the pandemic semester compared to the reference semester and PM2.5 levels during subperiod 2 decreased most, by 18%. The southeast region was affected most by the COVID-19 outbreak with PM2.5 levels during subperiod 2 decreasing by 31%, followed by the Northern Yangtze River Delta (29%) and Pearl River Delta (24%).

scholarly journals Current Status and Temporal Trend of Potentially Toxic Elements Pollution in Agricultural Soil in the Yangtze River Delta Region: A Meta-Analysis

2021 ◽  
Vol 18 (3) ◽  
pp. 1033
Author(s):  
Shufeng She ◽  
Bifeng Hu ◽  
Xianglin Zhang ◽  
Shuai Shao ◽  
Yefeng Jiang ◽  
...  
Keyword(s):  
Yangtze River ◽  
Agricultural Soil ◽  
Toxic Elements ◽  
Temporal Trend ◽  
Meta Analysis ◽  
Yangtze River Delta ◽  
Potentially Toxic Elements ◽  
River Delta ◽  
The Yangtze River ◽  
The Yangtze River Delta

Potentially toxic elements (PTEs) pollution in the agricultural soil of China, especially in developed regions such as the Yangtze River Delta (YRD) in eastern China, has received increasing attention. However, there are few studies on the long-term assessment of soil pollution by PTEs over large regions. Therefore, in this study, a meta-analysis was conducted to evaluate the current state and temporal trend of PTEs pollution in the agricultural land of the Yangtze River Delta. Based on a review of 118 studies published between 1993 and 2020, the average concentrations of Cd, Hg, As, Pb, Cr, Cu, Zn, and Ni were found to be 0.25 mg kg−1, 0.14 mg kg−1, 8.14 mg kg−1, 32.32 mg kg−1, 68.84 mg kg−1, 32.58 mg kg−1, 92.35 mg kg−1, and 29.30 mg kg−1, respectively. Among these elements, only Cd and Hg showed significant accumulation compared with their background values. The eastern Yangtze River Delta showed a relatively high ecological risk due to intensive industrial activities. The contents of Cd, Pb, and Zn in soil showed an increasing trend from 1993 to 2000 and then showed a decreasing trend. The results obtained from this study will provide guidance for the prevention and control of soil pollution in the Yangtze River Delta.

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