大气臭氧污染对冬小麦气孔吸收通量的影响机制及其时空格局

近地层臭氧作为一种二次污染物,其不断增加的浓度及其对作物的影响已经成为各国政府和公众关注的焦点.本文以冬小麦为研究对象,基于大田OTC试验,对OTC内气象因子和气孔导度进行连续观测.引进气孔导度模型,并进行本地参数化研究,结合通量模型,研究冬小麦气孔臭氧吸收通量的变化特征,并对江苏省各市冬小麦气孔导度和O_3吸收通量的时空分布进行模拟.结果表明,O_3浓度增加会限制其叶片气孔导度,浓度越高,限制作用越明显;利用修订后的气孔导度模型对冬小麦叶片气孔导度进行模拟,表明模型解释了实测气孔导度90%、77%和83%的变异性.结合通量模型对冬小麦气孔O_3通量进行模拟,则CK(约为53.67 n L·L~(-1))、100 n L·L~(-1)和150 n L·L~(-1)O_3浓度处理下冬小麦在整个O_3熏期的累积吸收通量分别为6.42、12.27和13.90 mmol·m-2;江苏地区冬小麦在其生长季期间O_3浓度呈逐渐增加的趋势,冬小麦平均气孔导度的大小表现为:中期后期前期的时间变化特点,在整个中期时段气孔O_3累积吸收通量最多.     

跨膜压差和膜面流速对磁絮凝延缓陶瓷微滤膜通量衰减的影响

为克服陶瓷微滤膜净化微污染水体时产水量不高、通量衰减迅速的难题,采用磁絮凝预处理工艺延缓陶瓷膜的污染。对比了磁絮凝预处理与传统絮凝预处理对陶瓷微滤膜膜污染的影响,结果显示:磁絮凝预处理后陶瓷膜的稳定产水量高于传统絮凝预处理,验证了磁絮凝预处理工艺延缓膜污染的可行性。同时,研究了跨膜压差和膜面流速对2种组合工艺膜通量的影响,结果表明:随着跨膜压差和膜面流速的增加,膜通量均提高但增幅逐渐放缓,其优化运行参数如下:跨膜压差为0.20 MPa,膜面流速为2.0 m/s。     

贵州乌江渡水库沉积速率及碳氮埋藏通量估算

我国西南地区峡谷型梯级水库沉积物的碳汇效应对全球碳循环有着重要意义。为了探明该区域水库的碳汇强度,本研究选择乌江流域的乌江渡水库作为研究对象,于2015年5月对水库沉积物进行采样,并利用210Pbex核素计年技术,结合沉积物碳氮分析,估算乌江渡水库的碳埋藏量。结果表明:乌江渡水库沉积物平均沉积速率为0.155g/(cm~2·a),TOC沉降通量为70.85g/(m~2·a),堆积通量为29.14g/(m~2·a);TN沉降通量为8.22g/(m~2·a),堆积通量为2.79g/(m~2·a)。乌江渡水库沉积物年均TOC总埋藏通量为1.39×10~9g/a,其中82%来自水库内部光合作用形成的有机质。因此,依据保守的估算,乌江渡水库沉积物的净碳汇通量为23.9g/(m~2·a),保存的净碳汇量为1.1×10~9g/a。研究结果表明水库沉积物是一个重要的碳汇。     

津北大气干湿沉降重金属元素通量与评价研究

大气干湿沉降是有害物质进入土壤的一种重要途径,是影响农田生态系统安全的重要因素.天津市北部的蓟州区大气干湿沉降重金属元素具有以下特征:(1)大气干湿沉降重金属元素年沉降通量从大到小依次为Zn>Pb>Cr>Cu>Ni>As>Cd>Hg,Zn、Pb是大气干湿沉降重金属元素中最主要的元素,山区年沉降通量小于平原区,表明山区空气环境质量相对于平原区好,与天津城区、北京平原区、全国相比,津北蓟州区大气干湿沉降重金属各元素年沉降通量均相对较低;(2)大气干湿沉降物输入浓度中,Cd、Pb、Zn、Hg显著高于蓟州区土壤含量平均值,尤其是Cd,表明大气干湿沉降可能是土壤中Cd的重要来源;(3)根据大气干湿沉降物环境地球化学评价结果,大气干湿沉降物环境地球化学单指标和综合指标评价结果均为一等,表明该地区大气环境质量很好.     

浙江北部一次爆发式发展重度大气污染的气象特点和成因

基于全国空气质量指数和PM_(2.5)监测、常规气象观测、浙江省6种主要大气污染物和自动气象监测、宁波镇海激光雷达、美国国家环境预报中心GDAS和欧洲中期天气预报中心ERA-interim再分析等多种资料,对2017年12月30日―2018年1月1日浙江北部一次爆发式发展大气污染事件气象特点及成因进行分析,应用HYSPLIT4模式进行粒子后向轨迹分析.结果表明:PM_(10)和PM_(2.5)质量浓度在浙江省表现出明显的爆发性增长和自西北向东南传输的特征,污染程度自浙北向浙中、浙南逐渐减轻,重度污染时浙北大范围出现2000 m以下的重度霾,污染粒子主要来自上游的安徽和江苏省.大气污染爆发式发展与冷空气有关,1000 m以下边界层内冷空气偏弱,但足以将盛行风改变为西北风,是污染物粒子输送的动力条件,污染粒子集中在该层内,层内没有下沉运动,因此水平风场对污染事件爆发有决定性作用;1000 m以上层次冷平流表现明显,且伴有下沉运动,抑制了边界层粒子的垂直扩散,对污染事件的发展和维持有间接影响.激光雷达的消光系数变化不仅与污染物粒子浓度变化有关,还与气象条件密切相关.污染物粒子质量浓度通量散度的变化对预报粒子浓度的增减有较好的参考作用.     

闽江河口养殖塘水体溶存氧化亚氮浓度及扩散通量研究

水产养殖生态系统由于其高氮负荷而成为氧化亚氮(N_2O)的潜在释放源.本文以福建闽江河口养虾塘为研究对象,采用静态顶空-气相色谱法测定分析了表层水体溶存N_2O浓度和饱和度,基于薄边界层模型计算了水-气界面N_2O扩散通量,在此基础上结合气象要素与水环境因子分析其主要影响因素.结果表明,养殖塘水体溶存N_2O浓度和饱和度的均值分别为17.96 nmol·L~(-1)和198.03%,时间变化上表现为养殖中期显著高于养殖末期和初期,且具有一定的日变化特征.相关分析表明,N_2O浓度及饱和度与温度、水体NH~+_4-N和叶绿素a浓度呈显著正相关(p0.05),与气压、风速和水体pH值呈显著负相关(p0.05).LM86、W92和RC01模型估算的养殖塘水-气界面N_2O扩散通量的均值分别为20.80、183.75和298.52 nmol·m~(-2)·h~(-1),3种扩散通量均呈现出随着养殖时间推移显著增加的特征,风速和水体溶存N_2O是影响河口养殖塘N_2O扩散通量的重要因子.N_2O扩散通量与扩散系数的取值密切相关,但不同模型方程计算得出的扩散系数存在显著差异,比较发现,RC01模型更适合河口区养殖塘水-气界面N_2O扩散通量估算.本研究结果可为完善水产养殖生态系统的N_2O排放清单编制和近海水环境保护提供一定的科学依据.     

Controls on sediment delivery in coastal plain rivers

Rivers crossing coastal plains are often inefficient conveyors of sediment, so that changes in upstream sediment dynamics are not evident at the river mouth. Extensive accommodation space and low stream power often result in extensive alluvial storage upstream of estuaries and correspondingly low sediment loads at the river mouth. However, gaging stations with sediment records are typically well upstream of the coast, and thus tend to overestimate sediment yields by under-representing the lower coastal plain and because there is often a net loss of sediment in lower coastal plain reaches. Studies of alluvial sediment storage have generally focused on accommodation space, but, using examples from Texas, we show that low transport capacity controlled largely by slope is a crucial factor.     

Evaluating weather effects on interannual variation in net ecosystem productivity of a coastal temperate forest landscape: A model intercomparison

Forest productivity is strongly affected by seasonal weather patterns and by natural or anthropogenic disturbances. However weather effects on forest productivity are not currently represented in inventory-based models such as CBM-CFS3 used in national forest C accounting programs. To evaluate different approaches to modelling these effects, a model intercomparison was conducted among CBM-CFS3 and four process models (ecosys, CN-CLASS, Can-IBIS and 3PG) over a 2500 ha landscape in the Oyster River (OR) area of British Columbia, Canada. The process models used local weather data to simulate net primary productivity (NPP), net ecosystem productivity (NEP) and net biome productivity (NBP) from 1920 to 2005. Other inputs used by the process and inventory models were generated from soil, land cover and disturbance records. During a period of intense disturbance from 1928 to 1943, simulated NBP diverged considerably among the models. This divergence was attributed to differences among models in the sizes of detrital and humus C stocks in different soil layers to which a uniform set of soil C transformation coefficients was applied during disturbances. After the disturbance period, divergence in modelled NBP among models was much smaller, and attributed mainly to differences in simulated NPP caused by different approaches to modelling weather effects on productivity. In spite of these differences, age-detrended variation in annual NPP and NEP of closed canopy forest stands was negatively correlated with mean daily maximum air temperature during July-September (T_amax) in all process models (R² = 0.4-0.6), indicating that these correlations were robust. The negative correlation between T_amax and NEP was attributed to different processes in different models, which were tested by comparing CO₂ fluxes from these models with those measured by eddy covariance (EC) under contrasting air temperatures (T_a). The general agreement in sensitivity of annual NPP to T_amax among the process models led to the development of a generalized algorithm for weather effects on NPP of coastal temperate coniferous forests for use in inventory-based models such as CBM-CFS3: NPP′ = NPP − 57.1 (T_amax − 18.6), where NPP and NPP′ are the current and temperature-adjusted annual NPP estimates from the inventory-based model, 18.6 is the long-term mean daily maximum air temperature during July-September, and T_amax is the mean value for the current year. Our analysis indicated that the sensitivity of NPP to T_amax was nonlinear, so that this algorithm should not be extrapolated beyond the conditions of this study. However the process-based methodology to estimate weather effects on NPP and NEP developed in this study is widely applicable to other forest types and may be adopted for other inventory based forest carbon cycle models.     

广西英罗港不同红树林群落土壤CO2和CH4通量对气温变化的响应

采用WEST-1011便携式土壤通量测量仪对广西北海英罗港自然保护区不同红树植物群落土壤的CO2和CH4排放通量特征以及其与气温的关系进行研究。结果表明,各群落土壤CH4通量的值都较小,在-2~3μmol.m-2.s-1之间;红海榄Rhizophora stylosa群落、木榄Brugiera gymmonhiza群落一天的CO2通量变化很小,秋茄Kandelia candel群落一天的CO2通量变化比较明显,最大值出现在19：00,为5.001μmol.m-2.s-1,桐花树Aegiceras corniculatum群落一天的CO2通量变化明显,最大值出现在11：00,为8.325μmol.m-2.s-1。排放通量与气温做相关性研究发现,气温与红海榄群落、木榄群落土壤CH4通量与气温呈不显著的正相关关系,与秋茄群落呈现极其显著的负相关关系,与桐花树群落呈显著的负相关关系;气温与红海榄群落、木榄群落、秋茄群落、桐花树群落的土壤CO2通量均呈不显著的负相关关系。     

Modeling Nutrient Export From Coastal California Watersheds

Nitrate and phosphate export coefficient models were developed for coastal watersheds along the Santa Barbara Channel in central California. One approach was based on measurements of nutrient fluxes in streams from specific land use classes and included a watershed response function that scaled export up or down depending on antecedent moisture conditions. The second approach for nutrient export coefficient modeling used anthropogenic nutrient loading for land use classes and atmospheric nutrient deposition to model export. In an application of the first approach to one watershed, the nitrate and phosphate models were within 20% of measured values for most storms. When applied to another year, both nitrate and phosphate models generally performed adequately with annual, storm‐flow, and base‐flow values within 20% of measured nutrient loadings. Less satisfactory results were found when applied to neighboring watersheds with difference percentages of land use and hydrologic conditions. Application of the second approach was less successful than the first approach.