Assessing economic sustainability and ecological efficiency with genuine progress indicator: a case study of the Yangtze River Delta from 2000 to 2018

To achieve urban sustainability, it is critical to enhance the environment, economy, and society simultaneously. This study adopted the revised genuine progress indicator (GPI) and ecological footprint (EF) to evaluate the ecological efficiency and economic sustainability of the Yangtze River Delta from 2000 to 2018. Spatial analysis was utilized to identify spatial autocorrelation. A total of 27 cities were then partitioned through k-means cluster analysis. The results showed that GPI and ecological efficiency improved rapidly, but economic sustainability showed a downward trend. GPI and GDP had a high degree of spatial correlation, especially in Suzhou-Wuxi-Changzhou Metropolitan Area. However, no spatial correlation existed between GPI and EF. The city with high GEE can reach 3000 $/gha, indicating the city consumed 1 global hectare to create $3000 of genuine economic growth. Shanghai, Hangzhou, and Taizhou were cities with the highest level of economic sustainability and ecological efficiency. The spatiotemporal characteristics of economic sustainability and ecological efficiency revealed in this study will provide theoretical guidance for alleviating ecological pressure and promoting economic sustainable development.

     

Impact of air pollutants on hospital visits for pediatric asthma in Fuzhou city,southeast China

Environmental Science and Pollution Research - Rapid social development in China has resulted in severe air pollution and adverse impacts on people’s health. Although studies have been...     

Vitamin D mediates the association between acrylamide hemoglobin biomarkers and obesity

Environmental Science and Pollution Research - Mediation analysis aims to discover the role of intermediate variables from exposure to disease. The current study was performed to evaluate how...     

Evaluation of phoxim toxicity on aquatic and zebrafish intestinal microbiota by metagenomics and 16S rRNA gene sequencing analysis

Environmental Science and Pollution Research - Phoxim is one of the main organophosphorus pesticides used in agricultural production. However, little information is known about how it affects the...     

Near-surface wind profile test based on accuracy verification of UAV anemometer lifting height in an urban fringe built-up area

Environmental Science and Pollution Research - Multirotor UAVs (unmanned aerial vehicles) have been widely used in urban vertical wind environment testing, whereas less attention has been given to...     

努力创建地震预报的应用基础学科——兼论板内现今地壳运动动力学

分析地震预报已取得的成就和面临的困境,根据国内外各相关学科的新进展,作者认为创建地震预报的应用基础学科是当务之急。一种可能的选择是,在现今地球动力学、动力大地测量学(地壳形变学)、实时大地构造学及系统科学、非线性动力学等前沿学科的交叉部位上,逐步建立板内现今地壳运动动力学(或板内现今构造微动态动力学、或板内地壳形变系统动力学)。它既是地震、火山、滑坡、泥石流等灾害预测的应用基础,又是立脚于中国的全球变化研究。对它的意义、研究对象、内容与方法作了探讨,最后提出了一批建议着手开展的应用基础研究课题。     

1949—1994年中国洪水灾害成灾面积的时序分形特征

作者应用１９４９～１９９４年中国洪水灾情资料,重构了其嵌入相空间序列,探讨了其时序的分形特征,计算得到了分维数。研究表明：洪水灾害成灾面积的时序分布具有分形特征。研究结果为建立洪水灾害成灾面积的时序预测预报模型提供依据。     

基于知识的AVHRR影像的水体自动识别方法与模型研究

根据水体光谱特性，通过分析水体在ＮＯＡＡ气象卫星的ＡＶＨＲＲ影像上的表象特征及与其它相关环境因子在光谱信息上的差异，认为水体在ＡＶＨＲＲ影像上具有光谱可分辨性，从而提出了基于水体光谱知识的水体自动提取识别的水体描述模型，并将该模型应用于太湖、淮河、渤海等地区，取得较好的效果。该模型方法同样可扩展应用于其它传感器获得的影像数据，从而实现遥感信息提取的自动化与智能化     

我国海冰的可能最大厚度

我国的渤海和黄海北部近岸海域，每年冬季都有海冰出现，渤海的辽东湾是我国冰情最严重海区。在渤海，特别是辽东湾，海注作用力是海洋工程设计的控制荷载。海注的厚度是计算海冰作用力的重要参数之一。本文根据渤海辽东湾北部鲅鱼圈和盘锦海洋站的气温和海冰观测资料，建立了计算海冰厚度的经验公式，并据此估算了我国平整海冰的可能最大厚度为８０ｃｍ。     

湿地植物对污水中氮、磷去除效果的试验研究

采用室内试验和现场试验考察了黄花鸢尾、水葱和梭鱼草3种挺水植物对类污水处理厂二级出水中氮、磷的吸收速率、吸收容量和吸收贡献。结果表明:短期内,各种湿地植物污水中氮、磷的吸收速率比较稳定,但在整个生长周期内,各种植物对氮、磷的吸收速率却有较大变化,4月份,水葱对氮、磷的吸收速率最大,8月份,梭鱼草对氮、磷的吸收速率最大。在整个生长期内,黄花鸢尾对氮、磷的吸收容量一直保持最大,在10月下旬分别达到21.5和4.16 g/m2,因此其对二级出水中氮、磷去除的吸收贡献也最大,分别为30%和73%。这表明湿地植物的选择不仅要考查其对污染物的吸收速率,更要关注其对污染物的吸收容量,并且湿地植物的吸收作用对类二级出水中氮、磷的去除具有更加重要的意义。