Developing a method for assessing environmental sustainability based on the Google Earth Engine platform

Environmental sustainability is the foundation and of great significance for the sustainable development of urban agglomerations. Taking the Beijing-Tianjin-Hebei urban agglomeration as an example, we developed a method to effectively assess long-term regional environmental sustainability based on the Google Earth Engine (GEE) platform. We used the GEE to obtain 5206 Landsat remote sensing images in the region from 1983 to 2016 and developed the comprehensive environmental index (CEI) to assess regional environmental sustainability based on the theme-oriented framework proposed by the United Nations Commission on Sustainable Development. We found that the environmental sustainability of the urban agglomeration showed a trend of first rising, then falling, and then rising again in the past 30 years. The average CEI increased from 0.621 to 0.631 from 1985 to 1990, dropped to the lowest value of 0.618 in 2000, and then rose to the highest value of 0.672 in 2015. In particular, the extent of areas in which environmental sustainability improved (56% of the region) was greater than the extent of areas in which environmental deterioration occurred. The environmental sustainability of Hengshui, Xingtai, and Cangzhou in the southeast of the region has been significantly improved. The method proposed in this study provides an automatic, rapid, and extensible way to assess regional environmental sustainability and provides a scientific reference for improving the sustainability of the regional environment.

     

Nitrogen fertilization decrease soil CO2 emission in a rainfed maize field in Northeast China

Environmental Science and Pollution Research - Nitrogen fertilizer has considerable effects on soil carbon fluxes. However, the responses of soil CO2 emission to N fertilizer remain controversial....     

Exploring the embodied carbon flow interactive relationships in China from an ecological network perspective: a model framework and application at provincial level

Environmental Science and Pollution Research - Energy-related carbon emissions take a large proportion in China, and the interregional trade caused by provincial disparities has led to significant...     

A bibliometric and content analysis of research trends on GIS-based landslide susceptibility from 2001 to 2020

Environmental Science and Pollution Research - To assess the status of hotspots and research trends on geographic information system (GIS)–based landslide susceptibility (LS), we analysed...     

基于CiteSpace的高校教师职业心理健康文献计量分析

为系统把握高校教师职业心理健康领域近10年的主要研究内容和研究方向,以中国知网(CNKI)作为数据源,经过2次检索得到2011—2020年10年间的文献,统计分析发文量,使用CiteSpace软件可视化处理,得到关键词共现图谱。结果表明:高校教师职业心理健康的相关研究主要集中于职业倦怠和职业压力,研究热点是成因和对策,重点研究对象为体育教师、青年教师、英语教师和女教师;通过内容分析发现,职业压力和职业倦怠均对高校教师职业心理健康存在消极影响;从社会、学校、个人3个层面有效干预可改善教师职业压力和职业倦怠,进而提升其心理健康。     

福建省主要流域的暴雨洪涝特征

利用1989-1999年近11年的水文、气象资料分析了福建省6个主要流域主控站水位与降水量的关系和洪涝的时间变化规律,进而分析了暴雨致洪的特征,结果表明:(1)福建省6个主要流域洪峰水位与上游有关气象站前期平均总降水量相关显著,暴雨是福建省洪涝发生的主要原因;(2)根据闽江(竹歧站)、九龙江(浦南)、交溪(白塔)、木兰溪(濑溪)4个站的达警戒水位或危险水位的降水指标,可利用暴雨预报作为洪涝预警预测的依据。(3)上世纪80年代后,洪水的高低变化有增大的趋势,应进一步完善抗洪防洪预警系统,提高抗洪防洪的应变能力。     

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。     

不同生境来源硝化细菌群对氨氮的去除性能

硝化细菌是微生物脱氮的关键功能菌群之一,筛选优质硝化细菌对于强化微生物脱氮具有重要意义.将河流沉积物、土壤自然环境和市场售人为环境3种生境来源的硝化细菌功能进行比较研究,并利用分子生物学手段分析了硝化细菌群落结构.结果表明,沉积物生境中硝化细菌的活性以及耐氨氮、pH和盐度等环境因子的能力高于土壤和市售硝化细菌.利用MP...     

Does the self-similar species distribution model lead to unrealistic predictions?

J. Harte et al. demonstrated that the power law form of the species-area relationship may be derived from a bisected, self-similar landscape and a community-level probability rule. Harte's self-similarity model has been widely applied in modeling species distributions. However, R. D. Maddux showed that this self-similarity model generates biologically unrealistic predictions. We resolve the Harte-Maddux debate by demonstrating that the problems identified by Maddux result from an assumption that the probability of occurrence of a species at one scale is independent of its probability of occurrence at the next. We refer to this as a "non-heritage assumption." By altering this assumption to one in which each species in the community has an occupancy status that is partially inherited across scales (a scale-heritage assumption), the predictions of the self-similarity model are neither mathematically inconsistent nor biologically unrealistic. Harte's self-similarity model remains an important framework for modeling species distributions. Our results illustrate the importance of considering patterns of species co-occurrence, and the way in which species occupancy patterns change with scale, when modeling species distributions.