碳质气溶胶作为大气气溶胶的重要组成部分,对大气环境质量、人类健康及全球气候变化有着重要的影响.为探究贵阳市花溪城区大气细颗粒物(PM_(2.5))中碳质气溶胶的变化特征及来源,于2020年不同季节开展大气PM_(2.5)原位观测研究,利用热/...碳质气溶胶作为大气气溶胶的重要组成部分,对大气环境质量、人类健康及全球气候变化有着重要的影响.为探究贵阳市花溪城区大气细颗粒物(PM_(2.5))中碳质气溶胶的变化特征及来源,于2020年不同季节开展大气PM_(2.5)原位观测研究,利用热/光学碳分析仪(DRI Model 2015)测定大气PM_(2.5)的碳质组分.结果表明,观测期间大气ρ(PM_(2.5))、ρ[总碳质气溶胶(TCA)]、ρ[有机碳(OC)]、ρ[二次有机碳(SOC)]和ρ[元素碳(EC)]的平均值分别为:(39.7±22.3)、(14.1±7.2)、(7.6±3.9)、(4.4±2.6)和(2.0±1.0)μg·m^(-3),OC/EC的平均值为(3.9±0.8).ρ(PM_(2.5))、ρ(TCA)、ρ(OC)、ρ(SOC)和ρ(EC)呈现冬季最高[(52.6±28.6)、(17.0±9.6)、(9.1±5.2)、(6.1±3.9)和(2.4±1.2)μg·m^(-3)],夏季最低[(25.1±7.1)、(11.6±3.6)、(6.3±1.9)、(3.7±1.2)和(1.6±0.6)μg·m^(-3)]的季节变化特征.OC/EC季节变化呈现:夏季(4.2±0.8)>冬季(3.8±0.9)>秋季(3.8±0.5)>春季(3.7±0.9),表明花溪城区各季节均存在SOC生成.SOC与OC呈现显著相关(R^(2)=0.9),且随着大气氧化性增强,SOC浓度呈增加趋势.OC与EC各季节均呈现较好相关性,其中秋季最高(R^(2)=0.9),其他3个季节偏低(R^(2)为0.74~0.75),表明二者具有共同来源.通过OC/EC值范围初步判断碳质气溶胶来源于机动车尾气排放、燃煤排放和生物质燃烧排放.为了进一步定量解析主要排放源对碳质气溶胶的贡献,利用PMF模型对碳质气溶胶来源解析,结果表明贵阳市花溪城区碳质气溶胶主要来源为燃煤源(29.3%)、机动车排放源(21.5%)和生物质燃烧源(49.2%).展开更多
The current situation of plants in Shilihe Beach of the Huaxi National Urban Wetland Park was investigated and analyzed. The results show that there are about 181 species of landscape plants in this park, of which arb...The current situation of plants in Shilihe Beach of the Huaxi National Urban Wetland Park was investigated and analyzed. The results show that there are about 181 species of landscape plants in this park, of which arbors and shrubs are dominant. Various species of plants grow differently because of different types of artificial maintenance. The overall partition of the wetland park dose not follow the features of a river-type wetland and is not clear. In this park, the planting area of hygrophyte is far less than that of terrestrial plants. As a result, the wetland park is evolving into a public garden. It is suggested that the overall design of the park should be conducted in accordance with site characteristics and resources, and the park should be developed and built reasonably based on the principle that the ecology is a priority.展开更多
Presently,integrating multi-omics information into a prediction model has become a ameliorate strategy for genomic selection to improve genomic prediction accuracy.Here,we set the genomic and transcriptomic data as th...Presently,integrating multi-omics information into a prediction model has become a ameliorate strategy for genomic selection to improve genomic prediction accuracy.Here,we set the genomic and transcriptomic data as the training population data,using BSLMM,TWAS,and eQTL mapping to prescreen features according to |β_(b)|>0,top 1%of phenotypic variation explained(PVE),expression-associated single nucleotide polymorphisms(eSNPs),and egenes(false discovery rate(FDR)<0.01),where these loci were set as extra fixed effects(named GBLUP-Fix)and random effects(GFBLUP)to improve the prediction accuracy in the validation population,respectively.The results suggested that both GBLUP-Fix and GFBLUP models could improve the accuracy of longissimus dorsi muscle(LDM),water holding capacity(WHC),shear force(SF),and pH in Huaxi cattle on average from 2.14 to 8.69%,especially the improvement of GFBLUP-TWAS over GBLUP was 13.66%for SF.These methods also captured more genetic variance than GBLUP.Our study confirmed that multi-omics-assisted large-effects loci prescreening could improve the accuracyofgenomic prediction.展开更多
文摘碳质气溶胶作为大气气溶胶的重要组成部分,对大气环境质量、人类健康及全球气候变化有着重要的影响.为探究贵阳市花溪城区大气细颗粒物(PM_(2.5))中碳质气溶胶的变化特征及来源,于2020年不同季节开展大气PM_(2.5)原位观测研究,利用热/光学碳分析仪(DRI Model 2015)测定大气PM_(2.5)的碳质组分.结果表明,观测期间大气ρ(PM_(2.5))、ρ[总碳质气溶胶(TCA)]、ρ[有机碳(OC)]、ρ[二次有机碳(SOC)]和ρ[元素碳(EC)]的平均值分别为:(39.7±22.3)、(14.1±7.2)、(7.6±3.9)、(4.4±2.6)和(2.0±1.0)μg·m^(-3),OC/EC的平均值为(3.9±0.8).ρ(PM_(2.5))、ρ(TCA)、ρ(OC)、ρ(SOC)和ρ(EC)呈现冬季最高[(52.6±28.6)、(17.0±9.6)、(9.1±5.2)、(6.1±3.9)和(2.4±1.2)μg·m^(-3)],夏季最低[(25.1±7.1)、(11.6±3.6)、(6.3±1.9)、(3.7±1.2)和(1.6±0.6)μg·m^(-3)]的季节变化特征.OC/EC季节变化呈现:夏季(4.2±0.8)>冬季(3.8±0.9)>秋季(3.8±0.5)>春季(3.7±0.9),表明花溪城区各季节均存在SOC生成.SOC与OC呈现显著相关(R^(2)=0.9),且随着大气氧化性增强,SOC浓度呈增加趋势.OC与EC各季节均呈现较好相关性,其中秋季最高(R^(2)=0.9),其他3个季节偏低(R^(2)为0.74~0.75),表明二者具有共同来源.通过OC/EC值范围初步判断碳质气溶胶来源于机动车尾气排放、燃煤排放和生物质燃烧排放.为了进一步定量解析主要排放源对碳质气溶胶的贡献,利用PMF模型对碳质气溶胶来源解析,结果表明贵阳市花溪城区碳质气溶胶主要来源为燃煤源(29.3%)、机动车排放源(21.5%)和生物质燃烧源(49.2%).
基金Sponsored by the Project of Practice and Innovation Bases for Postgraduates of Guizhou University(SJJD[2015]005)Teaching Innovation Project of Guizhou University(JG2013024)Scientific Research Foundation for Introduction of Talents of Guizhou University((2012)031)
文摘The current situation of plants in Shilihe Beach of the Huaxi National Urban Wetland Park was investigated and analyzed. The results show that there are about 181 species of landscape plants in this park, of which arbors and shrubs are dominant. Various species of plants grow differently because of different types of artificial maintenance. The overall partition of the wetland park dose not follow the features of a river-type wetland and is not clear. In this park, the planting area of hygrophyte is far less than that of terrestrial plants. As a result, the wetland park is evolving into a public garden. It is suggested that the overall design of the park should be conducted in accordance with site characteristics and resources, and the park should be developed and built reasonably based on the principle that the ecology is a priority.
基金This research was supported by the National Natural Science Foundations of China(31872975)the Science and Technology Project of Inner Mongolia Autonomous Region,China(2020GG0210)the Program of National Beef Cattle and Yak Industrial Technology System,China(CARS-37).
文摘Presently,integrating multi-omics information into a prediction model has become a ameliorate strategy for genomic selection to improve genomic prediction accuracy.Here,we set the genomic and transcriptomic data as the training population data,using BSLMM,TWAS,and eQTL mapping to prescreen features according to |β_(b)|>0,top 1%of phenotypic variation explained(PVE),expression-associated single nucleotide polymorphisms(eSNPs),and egenes(false discovery rate(FDR)<0.01),where these loci were set as extra fixed effects(named GBLUP-Fix)and random effects(GFBLUP)to improve the prediction accuracy in the validation population,respectively.The results suggested that both GBLUP-Fix and GFBLUP models could improve the accuracy of longissimus dorsi muscle(LDM),water holding capacity(WHC),shear force(SF),and pH in Huaxi cattle on average from 2.14 to 8.69%,especially the improvement of GFBLUP-TWAS over GBLUP was 13.66%for SF.These methods also captured more genetic variance than GBLUP.Our study confirmed that multi-omics-assisted large-effects loci prescreening could improve the accuracyofgenomic prediction.
