基于函数极值条件下的中国碳达峰碳中和情景分析

基于函数极值条件提出了碳达峰出现时间和需要满足的理论条件,并对主要发达国家作了验证,同时对中国现状做了分析,最后采用了基准和强化两种情景分析了中国实现2030年碳达峰后进入2060年碳中和时期的二氧化碳排放量。研究结果显示：（1）根据IPAT恒等式将碳排放函数分解成人口、人均GDP和碳强度三个因素时,碳峰值出现时间为三个因素年增长率之和由正转负的正数值年度,发达国家的历史数据证实了这一条件。（2）中国三个因素年增长率之和自2003年起已经开始降低,最近几年一直在0.01~0.02徘徊,表明总体上朝着有利于碳达峰的方向发展,同时按照三个因素的预期发展目标计算得出中国2030年碳排放峰值的上限为112.2亿t,若2021—2035年保持相同的人均GDP年均复合增长率,碳强度年均复合增长率的绝对值需要比人均GDP年均复合增长率高0.14个百分点。（3）在能源消费总量逐渐回落的前提条件下,2060年基准情景下非化石能源占比约为65%,产生的二氧化碳量约为31.4亿t,强化情景下非化石能源占比约为70%,二氧化碳排放约为26.6亿t,而碳汇和CCUS等固碳技术还存在不确定性,碳中和任务依然艰巨。实现碳达峰碳中和最终需要控制能源消费,践行低碳消费行为。     

乡镇街道尺度国土“三生”空间功能评价及协调关系

乡镇街道尺度国土“三生”空间功能评价及协调关系研究更面向国土空间优化过程中的人本需求导向和基层精细化治理。研究提出“分维功能评价—协调水平测算—作用方向判别”的整套思路框架。其中,兼顾空间隶属和空间质量双重属性构建“三生”空间功能综合评价指标体系,运用耦合协调模型和双变量空间自相关模型探究功能间协调水平及各自对整体协调的作用方向,并以苏州市为例进行实证分析。结果表明：（1）所构建分析框架、指标体系及技术方法路径具有科学性和普适性特点,能够在乡镇街道尺度有效识别“三生”空间功能分布格局和空间协调关系。（2）在乡镇街道尺度的较高标准约束下,苏州市“三生”空间功能具有较显著城乡差异和区域差异,且“三生”空间功能协调整体水平呈现“大分散、小集聚”的分布特征,协调水平主要受生产、生活空间功能同向作用,生态空间功能的协同作用不足、多呈现反向关系。（3）从城区、乡镇、生态单元等不同空间类型提升“三生”空间综合功能,完善基层国土空间治理的精细化,在更大尺度上实现“三生”空间的整体协调,构建功能复合、风貌相宜、协调共进的国土空间格局。     

长三角重点生态功能县域生态资产损益核算

限制开发的重点生态功能县域承担着生态保护与经济发展双重使命,如何实现生态与发展互促共进及生态产品价值化是当前面临的极大难点,生态资产损益核算为量化区域资源有偿使用、生态保护修复、生态文明绩效评价等提供了有效途径。以浙江省嵊州市作为长三角地区重点生态功能区的典型县域,基于栅格尺度评估了近20年生态资产存量与流量时空动态变化,并利用地理探测器结合人类活动类型监测分析了生态资产损益的驱动因素。结果表明：2000—2018年,由于森林生态资产质量降低及面积减少,嵊州市近60%区域的生态资产存量呈减少趋势,而生态资产流量总价值与单位面积价值均增益10%以上。相对于自然因素,社会经济因素对嵊州市生态资产损益平均贡献度更大,为17%。县域城镇化导致粮食供给轻微减损,70%以上乡镇生态资产增益,特别是石璜镇生态保护成效较突出。     

基于多元随机效应Wiener过程的某弹用弹簧可靠性评估

目的 解决某弹用弹簧可靠性评估中存在的不确定性问题。方法 对某弹用弹簧进行加速退化试验,试验过程中发现其具有多个性能退化参数,并且其退化过程具有非线性、随机性及样本差异性的特征。为了对其退化过程进行数学表征,提出一种基于多元随机效应Wiener过程的退化模型。采用基于时间尺度变换的非线性Wiener过程,描述弹簧退化过程中的非线性与随机性。基于随机效应模型,对样本的差异性进行表征,利用Copula函数描述多元性能参数之间的相互作用关系。最后推导弹簧失效寿命的概率密度函数、可靠度函数。结果 在贮存条件为25 ℃、可靠度为0.9时,基于构建的多元随机效应Wiener过程模型,当考虑性能间的相关性时,得到某弹用弹簧的贮存寿命为12 a;不考虑性能间的相关性时,得到其贮存寿命为11.5 a。结论 构建的多元随机退化模型为该弹药健康状态管理提供了相应的理论依据。     

Comparison of a two-stage sampling design and its composite sample alternative: An application to soil studies

The objective of a long-term soil survey is to determine the mean concentrations of several chemical parameters for the pre-defined soil layers and to compare them with the corresponding values in the past. A two-stage random sampling procedure is used to achieve this goal. In the first step, n subplots are selected from N subplots by simple random sampling without replacement; in the second step, m sampling sites are chosen within each of the n selected subplots. Thus n · m soil samples are collected for each soil layer. The idea of the composite sample design comes from the challenge of reducing very expensive laboratory analyses: m laboratory samples from one subplot and one soil layer are physically mixed to form a composite sample. From each of the n selected subplots, one composite sample per soil layer is analyzed in the laboratory, thus n per soil layer in total. In this paper we show that the cost is reduced by the factor m — 1 when instead of the two-stage sampling its composite sample alternative is used; however, the variance of the composite sample mean is increased. In the case of positive intraclass correlation the increase is less than 12.5%; in the case of negative intraclass correlation the increase depends on the properties of the variable as well. For the univariate case we derive the optimal number of subplots and sampling sites. A case study is discussed at the end.     

Strategies for improving the photocatalytic performance of metal-organic frameworks for CO2 reduction: A review

Photocatalytic CO₂ reduction is an appealing strategy for mitigating the environmental effects of greenhouse gases while simultaneously producing valuable carbon-neutral fuels. Numerous attempts have been made to produce effective and efficient photocatalysts for CO₂ reduction. In contrast, the selection of competitive catalysts continues to be a substantial hindrance and a considerable difficulty in the development of photocatalytic CO₂ reduction. It is vital to emphasize different techniques for building effective photocatalysts to improve CO₂ reduction performance in order to achieve a long-term sustainability. Metal-organic frameworks (MOFs) are recently emerging as a new type of photocatalysts for CO₂ reduction due to their excellent CO₂ adsorption capability and unique structural characteristics. This review examines the most recent breakthroughs in various techniques for modifying MOFs in order to improve their efficiency of photocatalytic CO₂ reduction. The advantages of MOFs using as photocatalysts are summarized, followed by different methods for enhancing their effectiveness for photocatalytic CO₂ reduction via partial ion exchange of metal clusters, design of bimetal clusters, the modification of organic linkers, and the embedding of metal complexes. For integrating MOFs with semiconductors, metallic nanoparticles (NPs), and other materials, a number of different approaches have been also reviewed. The final section of this review discusses the existing challenges and future prospects of MOFs as photocatalysts for CO₂ reduction. Hopefully, this review can stimulate intensive research on the rational design and development of more effective MOF-based photocatalysts for visible-light driven CO₂ conversion.     

北京山区主体功能区协调发展的区域背景分析

主体功能区划主要在于解决区域问题，用科学发展观协调区域发展。本文从区域发展的整体性出发，用空间发展的相互作用理论分析了北京山区各主体功能区协调发展的区域背景。     

汶川地震后图书馆的恢复重建与职能发挥

汶川地震给灾区的图书馆事业带来重创,全国图书馆界、灾区各类图书馆及其他相关部门立即行动起来,进行抗震救灾、恢复重建工作.图书馆通过及时地宣传、报道、捐款捐物、对民众进行心理干预、编制发放抗震救灾小册子等行动,再加上国家立法的有力支持,进行自救与协助重建,为夺取抗震救灾的最后胜利充分发挥图书馆的职能作用.