大果沙棘形态与结实特征效果评价研究

针对中国野生沙棘果小、多刺、难采摘,生产中不能大规模推广种植等方面的缺点,近年来开始从俄罗斯引进优良沙棘品种(大果沙棘).通过开展8个大果沙棘品种在哈尔滨地区的栽培实验,观测不同品种大果沙棘在当地生长适应性、形态特征以及结实情况,通过建立量化评价指标体系对大果沙棘开展综合评价.结果表明,在哈尔滨地区,无刺丰表现最佳,可以作为推广栽培的优选品种;丘伊斯克等5个品种表现尚可,有一定推广价值;辽阜1号和契切克的表现最差,不建议作为推广首选品种.     

大落差输油管道局部高点水击压力预测方程研究*

为预测大落差管道局部高点水击压力,避免在关阀、停泵等应急操作过程中因高点低压而使油品气化,采用OLGA软件水击计算模块分析介质流速、高点稳态压力、关阀时间、阀门位置对高点水击压力的影响机制,并结合国内某原油管道现场SCADA系统数据进行验证;采用通用全局优化算法（UGO）和列文伯格-马夸尔特法（LM）建立局部高点压力预测方程,相对误差在5%以内。研究结果表明:本文方程可实现大落差输油管道水击过程中局部高点水击压力的预测。研究结果可为大落差输油管道安全运行与管理提供参考。     

基于情景要素的电网大面积停电事件情景序列构建方法研究

为了进一步做好电网大面积停电事件应对工作,针对电网大面积停电事件外部致因条件与事件内部演化规律不清的问题,采用“情景-构建”方法梳理事件情景要素,并在历史事故案例数据以及大量应急演练数据的基础上,综合运用数据挖掘方法,建立相关事件情景的逻辑与时间序列,为电网大面积停电事件的应急响应与决策指挥等工作提供科学、合理的理论支持,相关研究思路与方法也可为电力企业其它类型突发事件的应急管理工作提供参考。     

跨区域环境协同治理对企业全要素生产率的影响

以2017年“2+26”城市大气污染协同治理为准自然实验,选取2014~2019年沪深两市制造业上市公司数据,利用三重差分法考察跨区域环境协同治理对于企业全要素生产率的影响.研究发现,“2+26”城市环境治理能够有效提高企业全要素生产率,其作用机制来自于企业提高绿色创新能力､环保投资以及研发投入.异质性分析表明,在环保严格执法的地区以及绿色创新能力更强､融资约束较低和国有企业样本中,企业全要素生产率提升作用更加明显.本文的发现为中国进一步推进跨区域环境协同治理具有一定的政策启示.     

流域生态过程与水环境效应研究进展

以Web of Science数据库及CNKI(中国知网)的文献资料为数据源,利用CiteSpace文献计量工具,对流域生态过程和水环境效应研究领域的相关文献从发文量、发文期刊、关键词、作者及论文被引频次等方面进行分析,以此探讨国内外该领域研究现状、研究热点及未来发展趋势.结果 表明,流域生态过程和水环境效应研究文献数...     

An improved grey wolf optimizer algorithm for identification and location of gas emission

Identification of the leakage of hazardous gases plays an important role in the environment protection, human health and safety of industry production. However, lots of current optimization algorithms, such as particle swarm optimization (PSO) and Grey Wolf Optimizer (GWO), suffer from poor global optimization capability and estimation accuracy. In this work, a hybrid differential evolutionary and GWO (DE-GWO) algorithm is proposed. Tested by simulation cases and Prairie Grass emission experimental data, DE-GWO shows higher estimation accuracy than GWO. Compared with the other four optimization algorithms, DE-GWO exhibits finer robust stability under different population sizes, fewer iterations, as well as higher estimation accuracy with fewer search agents. Importantly, simulation results demonstrate that DE-GWO is more suitable to apply in the scene with a small number of sensors. Therefore, the proposed in this paper outperforms other optimization algorithms for the gas emission inverse problem. DE-GWO can provide reliable estimation towards gas emission identification and positioning, which shows huge potential as the data analysis module of real-time monitoring and early warning system.     

Age and spatial distribution of the world's oldest trees

Extremely old trees have important roles in providing insights about historical climatic events and supporting cultural values, yet there has been limited work on their global distribution and conservation. We extracted information on 197,855 tree cores from 4854 sites and combined it with other tree age (e.g., the OLDLIST) data from a further 156 sites to determine the age of the world's oldest trees and quantify the factors influencing their global distribution. We found that extremely old trees >1000 years were rare. Among 30 individual trees that exceeded 2000 years old, 27 occurred in high mountains. We modeled maximum tree age with climatic, soil topographic, and anthropogenic variables, and our regression models demonstrated that elevation, human population density, soil carbon content, and mean annual temperature were key determinants of the distribution of the world's oldest trees. Specifically, our model predicted that many of the oldest trees will occur in high-elevation, cold, and arid mountains with limited human disturbance. This pattern was markedly different from that of the tallest trees, which were more likely to occur in relatively more mesic and productive locations. Global warming and expansion of human activities may induce rapid population declines of extremely old trees. New strategies, including targeted establishment of conservation reserves in remote regions, especially those in western parts of China and the United States, are required to protect these trees.