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11.
理解树木生长对气候变化和人类活动干扰的响应有助于未来森林管理和双碳政策的落实。本文基于采自吕梁山南端的油松(Pinus tabuliformis Carr.)树轮样本建立了标准树轮宽度年表。通过Pearson相关分析发现树轮年表对研究区3—7月土壤湿度(r=0.60,P<0.01,n=37)、5—6月平均最低温度(r=-0.37,P<0.01,n=63)和5月降水量(r=0.31,P<0.05,n=64)响应敏感,说明水分条件(降水和土壤湿度)是影响研究区油松径向生长的主要限制因子,温度则是通过调控土壤湿度进而影响树木径向生长过程。近百年来(1926—2011年),研究区油松发生了三次生长释放事件(1932年,1977—1980年,2001—2011年)和一次生长抑制事件(1991—1994年)。生长释放事件在次数、持续时间和发生强度上都高于生长抑制事件。适宜(不适宜)的水热组合能够促进生长释放(抑制),人类活动干扰也能够诱发生长事件。空间相关分析揭示树轮年表与研究区及周边较大范围的气候环境变化密切相关。本研究对深入了解该地区油松树种生长特征及其对气候与人类活动干扰的... 相似文献
12.
核桃青皮生物炭对重金属铅、铜的吸附特性研究 总被引:23,自引:5,他引:23
采用500℃限氧裂解法将农林废弃物核桃青皮制成核桃青皮生物炭,进行了核桃青皮生物炭对铅、铜的批量吸附实验.同时,利用扫描电镜、FTIR红外等方法探讨了核桃青皮炭吸附Pb~(2+)、Cu~(2+)的特性,探究了吸附时间、溶液初始浓度、吸附温度、吸附剂投加量、溶液初始pH等因素对核桃青皮生物炭吸附Pb~(2+)、Cu~(2+)作用的影响,讨论了吸附动力学特性及吸附等温特性.结果表明:温度298.15 K、pH为3~6条件下,核桃青皮生物炭吸附Pb~(2+)和Cu~(2+)在20 min内即可达到吸附平衡,核桃青皮炭最佳投加量分别为0.8、1.5 g·L~(-1),最大吸附量分别为476.190、153.846 mg·g~(-1);吸附过程符合准二级动力学方程,等温吸附曲线符合Langmuir方程,说明其吸附过程主要是近似单分子层的化学吸附. 相似文献
13.
为明晰长江流域水质时空分布特征并解析污染源,基于长江流域21个水质监测断面2008—2018年的pH、溶解氧(DO)、高锰酸盐指数(CODMn)及氨氮质量浓度([NH3-N])数据,采用M-K趋势检验、相关性分析和层次聚类分析,对流域内水质时空动态变化趋势及特征进行综合识别,并结合绝对主成分回归分析法(APCS-MLR)解析污染物来源。结果表明,研究区内重点断面水质类别以II类为主,占71.39%。在时间上,水质污染程度表现为汛期(5—10月)劣于非汛期(1—4月和11、12月),汛期主要污染指标为DO和CODMn,非汛期主要污染指标为[NH3-N];在空间上,21个监测断面聚类为3组,其水质优劣排序为GⅢ(四川乐山岷江大桥、湖南长沙新港、江西南昌滁搓站点)>GⅡ(中下游及下游)>GⅠ(上游及中上游)。结合主成分分析和多元回归分析得出,在所基于的指标中CODMn和NH3-N是研究区内典型污染物,GⅠ组水体主要受营养盐面源污染和耗氧有机物蓄积污染;GⅡ组水质受工业生产和人类活动影响其营养盐和有机物污染严重,而自然因素影响较弱;GⅢ组站点属局部污染严重,污染源主要是有机物,其次是营养盐。上述研究结果可为长江流域针对性水环境治理、污染控制和改善提供参考。 相似文献
14.
本次研究基于高通量测序技术分析了鄱阳湖入湖河口14处沉积物的真菌群落结构特征.测序得到的314条真菌OTU分属于9个门,25个纲,49个目,62个科,62个属和117个种.在OTU分类水平上,鄱阳湖主要支流入湖河口中除饶河、赣江南支和修水具有相近的真菌群落结构外,其它河口之间群落结构差异较大;真菌群落丰度、多样性与沉积物p H、有机碳、有机氮和C/N等环境因子没有显著相关性.在门分类水平上,丰度(序列数比例)最高的是子囊菌门(Ascomycota,49.4%),其次为壶菌门(Chytridiomycota,20.4%)和担子菌门(Basidiomycota,17.8%).与其它河口相比,赣江河口沉积物的水生环境真菌Chytridiomycota丰度显著较高,抚河河口沉积物的陆生环境真菌Basidiomycota丰度显著较高.有机碳是影响鄱阳湖入湖河口沉积物真菌群落门分类组成的主要环境因子,与Basidiomycota相对丰度正相关,与Chytridiomycota负相关,与Ascomycota相关性较弱. 相似文献
15.
Robert Gifford Leila Scannell Christine Kormos Lidia Smolova Anders Biel Stefan Boncu Victor Corral Hartmut Güntherf Kazunori Hanyu Donald Hine Florian G. Kaiser Kalevi Korpela Luisa Marie Lima Angela G. Mertig Ricardo Garcia Mira Gabriel Moser Paola Passafaro José Q. Pinheiro Sunil Saini Toshihiko Sako Elena Sautkina Yannick Savina Peter Schmuck Wesley Schultz Karin Sobeck Eva-Lotta Sundblad David Uzzell 《Journal of environmental psychology》2009
The personal assessments of the current and expected future state of the environment by 3232 community respondents in 18 nations were investigated at the local, national, and global spatial levels. These assessments were compared to a ranking of each country's environmental quality by an expert panel. Temporal pessimism (“things will get worse”) was found in the assessments at all three spatial levels. Spatial optimism bias (“things are better here than there”) was found in the assessments of current environmental conditions in 15 of 18 countries, but not in the assessments of the future. All countries except one exhibited temporal pessimism, but significant differences between them were common. Evaluations of current environmental conditions also differed by country. Citizens' assessments of current conditions, and the degree of comparative optimism, were strongly correlated with the expert panel's assessments of national environmental quality. Aside from the value of understanding global trends in environmental assessments, the results have important implications for environmental policy and risk management strategies. 相似文献
16.
Spatial variability of nitrous oxide emissions and their soil-related determining factors in an agricultural field 总被引:1,自引:0,他引:1
Yanai J Sawamoto T Oe T Kusa K Yamakawa K Sakamoto K Naganawa T Inubushi K Hatano R Kosaki T 《Journal of environmental quality》2003,32(6):1965-1977
To evaluate spatial variability of nitrous oxide (N2O) emissions and to elucidate their determining factors on a field-scale basis, N2O fluxes and various soil properties were evaluated in a 100- x 100-m onion (Allium cepa L.) field. Nitrous oxide fluxes were determined by a closed chamber method from the one-hundred 10- x 10-m plots. Physical (e.g., bulk density and water content), chemical (e.g., total N and pH), and biological (e.g., microbial biomass C and N) properties were determined from surface soil samples (0-0.1 m) of each plot. Geostatistical analysis was performed to examine spatial variability of both N2O fluxes and soil properties. Multivariate analysis was also conducted to elucidate relationships between soil properties and observed fluxes. Nitrous oxide fluxes were highly variable (average 331 microg N m(-2) h(-1), CV 217%) and were log-normally distributed. Log-transformed N2O fluxes had moderate spatial dependence with a range of >75 m. High N2O fluxes were observed at sites with relatively low elevation. Multivariate analysis indicated that an organic matter factor and a pH factor of the principal component analysis were the main soil-related determining factors of log-transformed N2O fluxes. By combining multivariate analysis with geostatistics, a map of predicted N2O fluxes closely matched the spatial pattern of measured fluxes. The regression equation based on the soil properties explained 56% of the spatially structured variation of the log-transformed N2O fluxes. Site-specific management to regulate organic matter content and water status of a soil could be a promising means of reducing N2O emissions from agricultural fields. 相似文献
17.
Ai Leon Kazunori Kohyama Kazuyuki Yagi Yusuke Takata Hiroshi Obara 《Mitigation and Adaptation Strategies for Global Change》2017,22(1):85-98
Cultivated wetland rice fields are a source of methane (CH4) emissions. To estimate CH4 emissions and develop policies to reduce such emissions, information on water management at the farm level is crucial. It is known that farmers implement midseason drainage (MD) to increase rice yields and save water. However, little is known about whether MD is carried out in soils where CH4 emissions are high and how part-time status will influence management. The objective of this study is to identify factors that determine MD implementation using a binomial logistic regression model based on a farm-level survey in Japan and to indicate possible changes in estimates of CH4 emissions, accounting for current water management practices. The implementation rates were significantly higher where the soil types were classified as having the potential for high CH4 emissions. Under current water management practices, the duration of MD and the percentage of continuous flooding were 5 to 7 days longer and approximately 7 % higher, respectively, than the values used by the Greenhouse Gas Inventory Office of Japan, which in turn are used to report greenhouse gas emissions to the United Nations Framework Convention on Climate Change. By accounting for current water conditions with the Tier 2 method, this study indicates that national estimates of CH4 emissions from rice straw application areas could be lowered by 12.7 %. These results may contribute to the development of a mitigation policy that will help to further reduce CH4 emissions. 相似文献
18.
为深入探究高ρ(PM2.5)地区重污染过程的发展变化规律,以石家庄市一次重污染过程(2017年1月13-20日)为例,结合空气质量监测数据、PM2.5组分测试数据、气象观测资料,从重污染发展阶段(简称"P1阶段")、维持阶段(简称"P2阶段")和清除阶段(简称"P3阶段")分析PM2.5及其化学组分的变化特征、气象条件和高低空天气形势演变特征,并利用WRF-Chem模型定量研究重污染过程气溶胶反馈效应对典型气象要素的影响.结果表明:①此次重污染过程属于逐步累积增长、快速清除型,在P2阶段ρ(PM2.5)平均值为241.0 μg/m3,最大值为367.5 μg/m3.②P1和P2阶段高低空大气环流配置稳定,大气边界层高度范围为620.6~712.2 m,风速范围为1.3~2.5 m/s,相对湿度范围为60%~80%.③P2阶段SOR(硫氧化率)和NOR(氮氧化率)均为0.3,ρ(SNA)(SNA为SO42-、NO3-和NH4+的统称)为128.8 μg/m3,占ρ(PM2.5)的56.2%;OM[有机质,ρ(OM)=ρ(POA)+ρ(SOA),其中,POA为一次有机气溶胶,SOA为二次有机气溶胶]是除SNA以外的第二大组分,在P1和P3阶段ρ(POA)大于ρ(SOA),而在P2阶段ρ(SOA)与ρ(POA)相等,均为28.0 μg/m3,表明在重污染过程中二次污染严重;整个污染过程ρ(NO3-)/ρ(SO42-)为1.0,表明石家庄市移动源和固定源对ρ(PM2.5)贡献相当.④WRF-Chem模型模拟结果表明,太阳辐射量、温度和大气边界层高度受气溶胶反馈效应的影响在P2阶段的下降量分别为75.1 W/m2、2.7℃和109.9 m,比P1阶段分别高33.6%、91.4%和18.6%,比P3阶段分别高147.0%、305.3%和24.1%.研究显示,此次静稳天气下的重污染过程二次污染严重,气溶胶反馈效应整体使得太阳辐射量、温度和大气边界层高度均向不利于污染扩散的趋势发展,造成石家庄市的ρ(PM2.5)进一步增加. 相似文献
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