Predicting Water Quality Impaired Stream Segments using Landscape-Scale Data and a Regional Geostatistical Model: A Case Study in Maryland

In the United States, probability-based water quality surveys are typically used to meet the requirements of Section 305(b) of the Clean Water Act. The survey design allows an inference to be generated concerning regional stream condition, but it cannot be used to identify water quality impaired stream segments. Therefore, a rapid and cost-efficient method is needed to locate potentially impaired stream segments throughout large areas. We fit a set of geostatistical models to 312 samples of dissolved organic carbon (DOC) collected in 1996 for the Maryland Biological Stream Survey using coarse-scale watershed characteristics. The models were developed using two distance measures, straight-line distance (SLD) and weighted asymmetric hydrologic distance (WAHD). We used the Corrected Spatial Akaike Information Criterion and the mean square prediction error to compare models. The SLD models predicted more variability in DOC than models based on WAHD for every autocovariance model except the spherical model. The SLD model based on the Mariah autocovariance model showed the best fit (r² = 0.72). DOC demonstrated a positive relationship with the watershed attributes percent water, percent wetlands, and mean minimum temperature, but was negatively correlated to percent felsic rock type. We used universal kriging to generate predictions and prediction variances for 3083 stream segments throughout Maryland. The model predicted that 90.2% of stream kilometers had DOC values less than 5 mg/l, 6.7% were between 5 and 8 mg/l, and 3.1% of streams produced values greater than 8 mg/l. The geostatistical model generated more accurate DOC predictions than previous models, but did not fit the data equally well throughout the state. Consequently, it may be necessary to develop more than one geostatistical model to predict stream DOC throughout Maryland. Our methodology is an improvement over previous methods because additional field sampling is not necessary, inferences about regional stream condition can be made, and it can be used to locate potentially impaired stream segments. Further, the model results can be displayed visually, which allows results to be presented to a wide variety of audiences easily.     

An Analysis of Secondary Pollutants in Buenos Aires City

Air pollutant concentrations from a monitoring campaign in Buenos Aires City, Argentina, are used to investigate the relationships between ambient levels of ozone (O₃), nitric oxide (NO) and nitrogen dioxide (NO₂) as a function of NO _x (=NO + NO₂). This campaign undertaken by the electricity sector was aimed at elucidating the apportionment of thermal power plants to air quality deterioration. Concentrations of carbon monoxide (CO) and sulphur dioxide (SO₂) were also registered. Photo stationary state (PSS) of the NO, NO₂, O₃ and peroxy radicals species has been analysed. The ‘oxidant’ level concept has been introduced, OX (=O₃ + NO₂), which varies with the level of NO _x . It is shown that this level is made up of NO _x -independent and NO _x -dependent contributions. The former is a regional contribution that equates the background O₃ level, whereas the latter is a local contribution that correlates with the level of primary pollution. Furthermore, the anticorrelation between NO₂ and O₃ levels, which is a characteristic of the atmospheric photo stationary cycle has been verified.The analysis of the concentration of the primary pollutants CO and NO strongly suggests that the vehicle traffic is the principal source of them. Levels of continuous measurements of SO₂ for Buenos Aires City are reported in this work as a complement of previously published results.     

Evaluation of Carbon Uptake and Emissions by Forests in Korea During the Last Thirty Years (1973–2002)

The contribution of Korean forests to carbon sequestration for anthropogenic carbon emissions was evaluated. In addition, monitoring of carbon species released from forest fires was conducted. Despite a high carbon uptake by Korean forests, a tremendous increase in fossil fuel burning resulted in a small contribution by forests to carbon removal. The removal efficiency had a 5–31% range with an average of 12% during the period 1973–2002. In 2000, the amount of carbon released from burned trees corresponded to 1.6% of carbon uptake by forests. The distribution of surface CO concentration (ppb) derived from MOPITT (Measurement of Pollution in the Troposphere) showed high CO levels over the East/Japan Sea on April 10, 2000 when the largest forest fires occurred along the east coast of Korea. Trajectory analysis and ground CO measurements also indicated that CO levels over the East/Japan Sea were influenced by forest fires. This study suggests that continuous monitoring of carbon emissions from forest fires is needed for a more reliable estimate of carbon flux in the environment.     

典型燃煤电厂机组二氧化碳排放测试及核算研究

为验证二氧化碳排放量的测试技术适用性及可行性,获取燃煤电厂机组碳排放特征,系统比较不同测试方法之间碳排放量的差异,对某典型火电机组二氧化碳排放开展测试,结果表明,不同测试原理及设备二氧化碳排放实测体积分数均较为接近。测试机组CO₂实测体积分数为11.28%～14.21%,与负荷变化呈一定的正相关关系,不同负荷下基准氧含量(体积分数6%)基本无变化。测试机组排放量与负荷正相关,使用了缺省值的指南排放量最高,与其他方法排放量相对偏差均值为31.6%;使用入炉煤实测数据的指南排放量差异不大,相对偏差为0.1%;使用入炉煤实测数据的2版指南排放量高于直接测量法,相对偏差均值为4.9%;直接测量各类方法间相对偏差均值为1.0%,其中在线法与手工法间相对偏差均值为1.2%。CO₂排放强度与负荷负相关,实验条件下,机组负荷越高,碳排放强度越低。     

基于区域环境空气质量和碳排放数据的减污降碳协同效果评估

化石燃料燃烧产生的温室气体与大气污染物具有同根同源性,但具体治理中减污降碳的协同效果尚不明确。以浙江省11个设区市为研究样本,对环境空气质量和二氧化碳(CO₂)排放数据进行分析研究,结果显示：2016—2020年浙江省环境空气质量持续改善,但CO₂排放总量仍处于增长阶段。11个设区城市PM_2.5年均浓度降幅在26%～41%之间,二氧化氮(NO₂)年均浓度下降趋势不明显,大部分城市呈现碳排放增加、NO₂浓度下降的特征,只有杭州和温州两市呈现碳排放总量和NO₂、PM_2.5浓度协同下降的趋势。因子相关性分析结果表明,各设区市呈现NO₂浓度与碳排放相关性较大、协同性强,PM_2.5浓度与碳排放相关性较小的特点。进一步通过减污降碳协同定量评价分析表明,浙江地区在环境空气质量改善和温室气体减排已表现出一定成效,但各设区市因产业结构、环境基础条件、协同程度等不同导致减污降碳综合绩效有明显差异。从源头减排实现...     

水分管理对水稻生长与根际激发效应的影响特征

作物根际沉积碳输入而引起的根际激发效应,对农田土壤碳排放通量和碳平衡起到关键的调控作用.在稻田生态系统中,由于频繁的干湿交替,土壤CO2 和CH4 排放以及根际激发效应明显有别于其他自然生态系统.因此,明确稻田生态系统干湿交替过程中水稻根际激发效应的方向与强度,对于减缓稻田温室气体排放具有重要意义.本研究采用13C-C...     

南京北郊PM2.5中有机组分的吸光性质及来源

对南京北郊2018年9月~2019年9月PM_2.5中有机组分的吸光性质进行了研究,并利用PM_2.5化学组成及主成分分析法分析该地区吸光性有机碳（棕碳,brown carbon,BrC）的主要来源.结果表明,水溶性有机碳（water-soluble organic carbon,WSOC）和甲醇可提取有机碳（methanol extractable organic carbon,MEOC）在365 nm处光吸收系数（Abs_365,w和Abs_365,m）的平均值分别为（3.22±2.18）Mm^-1和（7.69±4.93）Mm^-1.Abs_365,w和Abs_365,m分别与WSOC（r=0.72,P<0.01）和MEOC（r=0.62,P=0.04）的质量浓度显著相关,均表现为冬高夏低,夜高昼低的时间变化特征.这可归结于冬季和夜间的气象特征（例如边界层高度降低和大气稳定度升高）、冬季一次源排放的增加以及夏季和白天更强的"光漂白作用".Abs_365,m/Abs_365,w的年均值（2.60±0.92）远高于MEOC/WSOC（质量浓度比值,1.37±0.30）,表明MEOC中非水溶性组分的吸光作用更强,在BrC的吸光作用中占主导地位.WSOC、MEOC、Abs_365,m和K⁺均未表现出强相关性（r<0.60）,因此生物质燃烧不是该地区BrC的主要一次来源.WSOC和MEOC质量吸收效率（MAE_365,w和MAE_365,m）及其比值（MAE_365,m/MAE_365,w）的季节变化和Abs₃₆₅相同.MEOC中非水溶性组分的MAE₃₆₅［（4.10±5.15）m²·g^-1］分别是MAE_365,w和MAE_365,m的6.0和2.9倍,支持BrC的吸光作用受非水溶性有机组分主导这一推断.和WSOC的埃氏吸收指数（Å_WSOC）相比,MEOC的埃氏吸收指数（Å_MEOC）随时间变化更显著,这可能与非水溶性吸光组分排放的季节变化有关.主成分分析结果显示,本研究PM_2.5中有机组分的吸光作用主要来源于二次形成过程和人为活动相关的一次排放,而不是生物质燃烧.     

甲醛等室内主要污染物分布特征与影响评价

现代人80%以上的时间是在室内度过的,室内实际上已成为越来越多的人最直接、最经常的生活环境。与此同时,室内空气质量的优劣也越来越受到人们的关注。本文在呼和浩特市选择不同时间装修的居室,对其室内空气中甲醛、氨、一氧化碳、氡的含量进行了实测,分析了居室装修后室内主要空气污染物的污染水平以及各污染物的分布特征。数据表明,目前新近装修的居室内存在严重的甲醛污染,其超标率达到55.81%,随装修后时间的推移室内甲醛含量逐渐减少,其超标率逐渐降低,说明室内甲醛含量与室内通风状况有明显的正相关性;在所测定的居室中,一氧化碳及氨均未超标,氡的超标率为20%。     

Runoff and dissolved organic carbon loss from a paired-watershed study of three adjacent agricultural Watersheds

Organic matter plays several important roles in the biogeochemistry of terrestrial and aquatic ecosystems including the mobilization and transport of nutrients and pollutants. Cropping, tillage practices and vegetative buffer strip installation affect losses of dissolved organic carbon (DOC). While many studies show reductions in pollutant export from agroecosystems where vegetative buffers have been implemented, buffer strips may be a source of DOC and contribute to surface water pollution. Using a paired-watershed approach, the objectives of this study were to determine the effect of grass and agroforestry buffers on runoff and DOC loss, compare runoff and DOC losses between the growing and fallow seasons, and investigate crop effects on runoff and DOC losses. The study design consisted of three small agricultural Watersheds in a no-till, maize-soybean rotation located in the claypan region of northeast Missouri, USA; one watershed was planted with grass buffer strips, one with agroforestry buffer strips, and one unaltered watershed served as the control. Runoff and DOC loss were measured during a six-year calibration period (1991–1997) prior to buffer installation and for a nine-year treatment period (1997–2006). The grass buffer strips significantly decreased runoff by 8.4% (p = 0.015) during the treatment period while the agroforestry buffer system exhibited no significant change in runoff (p = 0.207). Loss of DOC was not significantly affected by grass or agroforestry buffer installation (p = 0.535 and p = 0.246, respectively). Additionally, no significant difference in runoff or DOC loss was found between crops (maize and soybean) or between seasons (growing and fallow). Overall, this study indicates that grass buffer systems are effective at reducing runoff and that DOC contamination of surface waters is not exacerbated by either type of vegetative buffer strip.     

不同季节气象条件对北京城区高黑碳浓度变化的影响

利用2013年至2015年北京城区黑碳气溶胶(下文统称为"BC")和PM2.5观测资料,结合地面气象观测资料、ECMWF边界层高度再分析资料和FNL/NCEP不同高度风速再分析资料,讨论了BC质量浓度及其在PM_(2.5)质量浓度中所占比例(下文统称"黑碳占比")的季节、月、日变化特征,并通过计算北京城区BC浓度与不同高度风速的相关矢量,分析了气象条件和外来输送对北京城区BC浓度变化的影响.结果发现:研究时段内北京城区BC浓度平均值为(4.77±4.49)μg·m~(-3);黑碳占比为8.23%±5.47%.BC浓度和黑碳占比在春、夏季低,秋、冬季高,其日变化特征在4个季节均为"白天低夜间高"的单峰型特征.随着PM_(2.5)浓度的升高,BC浓度增大,黑碳占比减小.当北京地区风向为东北、东北偏东、东南和西南偏西(主风向)时,BC浓度与风速和边界层高度均呈反向变化,即随风速和边界层高度的增大而减小.另外不同季节BC浓度随风速变化的临界值及其变化速率不同.冬季高BC浓度时段,北京城区BC浓度在低层大气的关键影响区分别位于河北南部与山东交界地区以及河北西北部与山西内蒙交界地区;高空关键影响区主要位于北京以西的河北西部、山西北部和内蒙古地区.