不同发展模式下资源环境承载力评价——以海南省为例

文章关注于产业、人口与资源环境要素的作用关系,建构了资源环境承载力综合评价框架,并以海南省为案例区开展应用研究。该框架首先对区域产业重要性进行评价并分级,为产业结构调整提供依据;其次解析了区域产业、人口资源消耗与污染排放强度,最后,基于产业评价结果设定不同的产业结构调整情景,结合产业和人口的资源消耗与污染排放强度评价不同产业结构下的资源环境承载力,即产业和人口的规模上限。结果表明：2016年海南省的经济规模并未超载,产业有进一步发展空间。其中土地资源成为海南省发展的首要限制因素,其次是水环境;海南经济效益较高的支柱产业和基础性产业多为高耗水、高污染的产业,亟需加强水资源的集约利用,并降低污染排放强度。为提升经济发展规模上限,需要培育低能耗、低排放的产业。文章建构的资源环境承载力评价方法将产业、人口与资源环境相联系,其评价结果政策意义更为明确,可为优化产业结构调整、控制产业及人口发展规模提供决策参考。     

东北地区大气污染物源排放时空特征：基于国内外清单的对比分析

基于国内外4类常用的污染源排放清单数据（EDGAR：全球大气研究排放数据库;CEDS：社区排放数据系统;MIX：亚洲排放清单;PKU-FUEL：全球燃料排放数据）,对东北区域5类人为排放源（工业源、能源、交通运输源、生活民用源和农业源）的8种污染物（PM_2.5、PM₁₀、SO₂、NO_x、NMVOCs、NH₃、OC和BC）从排放总量、来源贡献和时空分布特征等方面进行对比分析。结果表明：东北污染物排放主要以SO₂、NO_x和NMVOCs为主,工业、能源和交通运输为主要贡献源;PM_2.5和PM₁₀主要来自生活民用源和工业源,贡献率前者大于后者。辽宁省污染物（除NH₃外）排放最大,其次为黑龙江省、吉林省和内蒙古东四盟市,冬季排放强度明显高于其他季节。NH₃主要来自农业源,排放峰值发生在5~7月;各清单间排放总量和来源贡献差异明显,EDGAR和PKU清单对NH₃估算差异度为170.3%;SO₂、NO_x、BC和OC的排放差异度均在30%以上。不同活动水平和排放因子的使用是造成清单差异的主要原因。本研究可以掌握东北污染状况,了解清单差异,为本地化清单工作开展提供研究方向,同时也可为模式模拟合理选择清单数据提供参考。     

中国工业烟粉尘排放时空演化及其影响因素

采用空间分析和空间杜宾模型等方法,研究1999—2017年中国工业烟粉尘排放时空演化特征及其影响因素。结果表明：① 中国工业烟粉尘排放空间分布差异明显,其排放的基尼系数和污染物分布指数均呈现下降态势,空间集中程度有所缓和。② 中国工业烟粉尘排放空间分布呈东北?西南走向,其排放中心不断由东南向西北方向迁移。③ 中国工业烟粉尘排放存在空间相关性和空间溢出效应,其冷热点区空间分布发生显著变化。④ 能源消耗、第二产业比重、人口密度和经济发展水平的提升将会增加工业烟粉尘排放,而外资水平、治理技术水平和环境规制力度的提升则有利于减少工业烟粉尘排放。     

地方政府土地出让干预对区域工业碳排放影响的对比分析——以中国8大经济区为例

探讨不同区域地方政府干预对碳排放的影响差异,对于中国推进碳减排战略、协调区域经济社会发展具有重要意义。鉴于此,论文基于地方政府土地出让的视阈,以中国8大经济区为研究对象,有机耦合STIRPAT模型与CKC模型,构建形成STIRPAT拓展模型,并使用2007—2016年中国28个省(市、自治区)的工业面板数据,对比考察8大经济区政府土地出让干预对区域碳排放的影响差异。结果表明:不同经济区的地方政府土地出让干预对区域碳排放的影响存在显著差异。其中,同为CKC“倒N”型的北部沿海、南部沿海、长江中游经济区,其政府土地出让干预对区域碳排放的影响呈现出北部沿海经济区为负、南部沿海经济区为正、长江中游经济区无显著影响的差异效果;同为CKC“倒U”型的东北、西南和西北经济区,其政府土地出让干预对区域碳排放的影响,东北和西南经济区都显著为负,西北经济区未表现出显著影响;同为CKC“U”型的东部沿海和黄河中游经济区,其政府土地出让干预对碳排放也呈现出前者为负、后者为正的相反影响。研究结果可为制定碳减排差别化政策、协调区域可持续发展提供参考。     

基于BDS的混合动力船舶节能研究

提出一种基于北斗卫星导航系统(BDS)的油电混合动力推进系统,柴油机和电动机采取PTH驱动方式,采用燃油和电能混合提供推进动力,可以依据BDS导航的航行区域以及航行速度选择不同动力源输出.经过燃油经济性和效益分析,与传统推进系统相比,应用基于BDS的混合动力推进系统,公务船运营成本降低26%,增加的初始建造投资成本3年内可以收回;金枪鱼延绳钓船综合节油15%~20%,通过节油方式可在4年内收回初始建造投资成本.基于BDS的混合动力系统可以增加推进冗余度,提高船舶安全性,具有良好的节能减排和节约运营成本的效果.     

基于土地利用变化的中国省域碳排放时空差异及碳补偿研究

选择中国30个省级行政区为研究单元,基于土地利用和能源消耗等数据,采用碳排放系数法,对2003~2016年中国土地利用碳源/汇进行计算,探究中国省域土地利用碳排放和碳吸收时空演变,并以碳盈亏时空分析为基础,通过生态补偿系数和经济贡献系数分析碳排放的差异性,以净碳排放量作为基准值进行碳补偿价值的研究。结果表明:① 研究期间碳排放总量和净碳排放量除在2015年出现小幅度下降现象,其余年度均呈现不断增加趋势;碳吸收总量呈现稳中有升的趋势。②土地利用碳吸收的主要载体是耕地和林地,碳汇资源空间差异明显,基本呈现西高东低的分布特征,多数省份在研究期内基本保持一致的碳吸收类型。③ 碳排放总量分布空间差异显著,且主要来自建设用地。④ 依据净碳排放量的区域差异,将其划分为高碳排放区、一般碳排放区、低碳排放区、碳汇区4种类型。⑤ 由于各省域碳补偿标准和净碳排放量的差异导致碳补偿价值区域差异明显。     

车辆碾压作用下戈壁地表起尘浓度

通过野外观测车辆碾压作用下戈壁地表PM₁₀释放浓度,探讨其主要影响因素。针对戈壁区砾石、砂砾、砂质和砂土4种路面类型,应用TSI粉尘仪多次重复观测车辆碾压产生的PM₁₀浓度,进而阐明碾压次数、车速和地表水分等因素对起尘浓度的影响。结果表明：4种路面的平均起尘浓度依次为5.339、9.089、16.944、50.251 mg·m^-3,是自然状态下的5~50倍;起尘浓度随碾压次数增多而增大,其中砂土路情况下的增长最显著;随土层厚度的增大呈现出幂函数的增长趋势;降雨后路面起尘浓度显著减小,且降雨量会影响降雨后起尘浓度的变化趋势。最后提出了针对性的建议和措施以减弱车辆碾压导致的戈壁地表起尘。     

Analysis and prediction of household carbon emission in northwest China北大核心CSCD

The economic development, living standard of residents and carbon emissions in Northwest China are lower than the national average. However,with the favorable policies the economic development is being improved and the household living standard is gradually raised up which will lead to an increase of the residents living carbon emissions, and the emission pattern will also be affected. This is detrimental to the fragile ecological environment of the Northwest China. At present, most of the researches on residents' carbon emissions are focused on the eastern and southern regions of China where there are frequent and significant human activities and high carbon emissions, and less attention has been paid to the northwest region, but the increase of carbon emissions and the increase of environmental costs have a more far-reaching impact on the less developed areas. In addition, when researchers pay attention to the prediction of residents' carbon emissions, they usually focus on the quantitative prediction and ignore the spatial pattern prediction, which is not conducive to the coordinated development between regions. Based on the data of energy consumption and consumption expenditure in the five provinces of Northwest China, including Shaanxi, Gansu, Qinghai, Ningxia and Xinjiang from 1997 to 2016, this paper firstly used the direct coefficient method to measure the residents' direct carbon emissions, and the input-output method to calculate the indirect carbon emissions of the residents and analyzes the present situation of residents' carbon emissions in the northwest region. Secondly, based on standard deviation ellipse and Autoregressive Integrated Moving Average Model, the carbon emissions of residents in Northwest China were predicted in terms of quantity and spatial pattern from 2017 to 2021. Major results are listed as follows: From 1997 to 2016, household carbon emissions in Northwest China showed a rising trend with an initial slow pace followed by a quick pace. The direct carbon emissions were stabilized in the range from 0. 3 × 108 t to 0. 4 × 108 t,and the indirect carbon emissions reached 2. 38 × 108 t. The spatial distribution of household carbon emissions in Northwest China was generally steady with a direction pattern from northwest to southeast. And the moving trend of standard deviation ellipse was from northwest to southeast to northwest, and the center of standard deviation ellipse moved around the point of (99. 07 °E,38. 19°N). From 2017 to 2021, the direct household carbon emissions in Northwest China reach to 0.543 × 108 t and the indirect carbon emissions are 3. 631 × 108 t by 2021. With the development of the western region in China and the promotion of poverty alleviation,Xinjiang Province had a lower emission than Shaanxi,but it had the higher growth rate than Shaanxi. These factors are all driving the main areas of carbon emission northwestward. The purpose of this paper is to recommend how to coordinate between the population and consumption and the environment, leading citizens to establish the value of low-carbon consumption. © 2019 Science Press (China). All rights reserved.     

Detecting anomalous CO2 flux using space borne spectroscopy

Over the time-scale, earth's atmospheric CO₂ concentration has varied and that is mostly determined by balance among the geochemical processes including burial of organic carbon in sediments, silicate rock weathering and volcanic activity. The best recorded atmospheric CO₂ variability is derived from Vostok ice core that records last four glacial/interglacial cycles. The present CO₂ concentration of earth's atmosphere has exceeded far that it was predicted from the ice core data. Other than rapid industrialization and urbanization since last century, geo-natural hazards such as volcanic activity, leakage from hydrocarbon reservoirs and spontaneous combustion of coal contribute a considerable amount of CO₂ to the atmosphere. Spontaneous combustion of coal is common occurrence in most coal producing countries and sometimes it could be in an enormous scale. Remote sensing has already proved to be a significant tool in coalfire identification and monitoring studies. However, coalfire related CO₂ quantification from remote sensing data has not endeavoured yet by scientific communities because of low spectral resolution of commercially available remote sensing data and relatively sparse CO₂ plume than other geological hazards like volcanic activity. The present research has attempted two methods to identify the CO₂ flux emitted from coalfires in a coalmining region in north China. Firstly, a band rationing method was used for column atmospheric retrieval of CO₂ and secondly atmospheric models were simulated in fast atmospheric signature code (FASCOD) to understand the local radiation transport and then the model was implemented with the inputs from hyperspectral remote sensing data. It was observed that retrieval of columnar abundance of CO₂ with the band rationing method is faster as less simulation required in FASCOD. Alternatively, the inversion model could retrieve CO₂ concentration from a (certain) source because it excludes the uncertainties in the higher altitude.     

发射光谱法测定化探样品中的Cu、Pb、Zn、Co、Ag、Sn、Mo和B

以Al2O3、K2S2O7、NaF、C作为缓冲剂与样品混匀,装入石墨电极中,以平头石墨电极为上电极,样品电极为下电极进行摄谱,由光电译谱仪测定谱线的黑度值,以锗为内标用内标法测定样品中Cu、Pb、Zn、Co、Ag、Sn、Mo和B的质量分数。