一种室外声屏障过渡区域绕射衰减测量方法

提出了一种声屏障声影区与声亮区过渡区域的绕射衰减室外测量方法。方法采用5ms的正弦波作为测试信号,利用声波到达时间的差异有效地排除地面反射和有限长声屏障两侧绕射的影响,并通过背景噪声频谱分析选取测试声以及对接受信号FIR滤波以最大限度降低背景噪声的影响,同时考虑了气象条件变化导致的大气衰减修正。为进一步验证方法有效性,选取直立声屏障作为试验案例。结果表明,与室内全消声室试验结果、几何绕射理论结果接近,试验精度高。     

成都夏冬季PM2.5中水溶性无机离子污染特征

利用大气细颗粒物水溶性组分及气态前体物在线监测设备(GAC-IC)对成都市2017年夏、冬两季大气PM_2.5中水溶性无机离子(WSIIs)及气态前体物进行了连续观测,对其污染特征及冬季一次典型污染过程进行了深入分析.结果表明,成都冬季PM_2.5质量浓度为100.2μg·m^-3,显著高于夏季(34.0μg·m^-3).WSIIs是PM_2.5的重要组成,对夏、冬季PM_2.5的贡献分别可达52.9%和53.3%.夏、冬季的二次离子(SNA)占WSIIs的比例分别为73.2%和87.6%,其中,SO₄^2-和NO^-₃分别是夏、冬季SNA的主导组分,对SNA的贡献分别为37.7%和59.7%.冬季NO^-₃/SO₄^2-比值(2.7)显著高于夏季(0.8),体现了移动源(尤其是机动车源)对该季节PM<...     

郑州市民运会期间大气PM2.5改善效果评估

利用2019年8月5日至9月30日大气污染物和颗粒物组分在线数据,评估郑州市少数民族运动会空气质量管控效果.根据政府管控措施的实施时间,将研究时期分为管控前(8月5～24日)、管控中(8月25日至9月18日)和解除管控后(9月19～30日).相较管控前,管控中PM_2.5平均浓度增加2.3μg·m^-3,解除管控后PM_2.5的浓度增加了11.7μg·m^-3,解除管控后PM_2.5浓度增幅高于管控中,表明管控措施对颗粒物有显著的减排效果.从颗粒物组分来看,研究期间郑州市主要组分依次是有机物、硝酸根、铵根、硫酸根和地壳元素.相比于管控前,管控期间PM_2.5组分中有机物和硝酸根占比分别上升3.9%和0.9%,硫酸根、铵根和地壳元素的占比下降了1.1%、 1.9%和2.2%.利用正定矩阵因子分解法解析颗粒物来源,结果表明二次硫酸、二次硝酸、二次有机气溶胶、机动车源、工艺过程源、扬尘和燃煤是PM_2.5主要来源.管控对一次源中的扬尘、燃煤和工业效果显著...     

“引江济太”对太湖北部底质及水质总磷的影响

应用GIS技术研究了"引江济太"对太湖北部底质与水质总磷(TP)浓度的影响。研究结果表明,2014—2019年,调水北部沿线4个点位底质TP浓度降幅为59.8%～80.5%;不同点位的水质TP浓度变化存在差异,入湖口点位下降14.1%,沿线其他点位分别上升37.4%、38.6%和45.0%。从空间分布来看,太湖水质TP始终呈明显的"西高东低"分布特点,但底质TP的分布未显示出该类规律。望亭水利枢纽调水情况与入湖口5#点位底质TP浓度呈一定程度的正相关,在调水入湖水量大于出湖水量的年份,5#点位底质TP浓度会偏高。"引江济太"会对太湖北部调水沿线,特别是入湖口附近水域的TP含量产生较大影响,并通过水流迁移与底质再悬浮释放影响下游水域。如何降低望虞河及周边支流的入湖泥沙量将是今后开展科学调水、保障贡湖水源地水质安全的重点研究方向之一。     

广西一个典型矿业镇环境中重金属污染分析

广西河池市是我国重要的有色金属基地.以该市一个典型的矿业镇作为研究对象,采集了该镇周围23个旱地土壤样品,并在镇里布设两个大气采样点采集了可吸入颗粒物(PM10)样品,运用ICP-MS分析了样品中20种金属元素的含量,采用地积指数法判定旱地土壤和可吸入颗粒物中污染元素及来源.结果表明,这些与人们生活密切的环境介质(旱地土,可吸入颗粒物)均受到了多种重金属元素的复合污染,其共同的污染元素有Cd、As、Sb、Pb、Xn、Cu,而其中致癌元素Cd和As污染最为突出.大气可吸入颗粒物与旱地土壤中各污染元素的污染强度排序相同,均为Cd＞As＞Sb＞Pb＞Zn＞Cu.经过现场调查和识别,污染源主要来自当地开放性运矿产生的扬尘所致.因此加强该地区矿石运输管理是保护该地区耕地和人群健康的需要.     

二苯碳酰二肼分光光度法测定水质六价铬不确定度的评估

通过二苯碳酰二肼分光光度法测定水质六价铬过程的分析,对测定不确定度作出评估,得出影响测定结果的几种重要因素.     

4类噪声标准适用区最佳监测时间研究

以1年的实测数据为分析样本,分别采用误差理论分析及数理统计分析方法,在保证一定精确度前提下确定出反映4类标准适用区噪声水平的最佳监测时间。     

Effects of several amendments on rice growth and uptake of copper and cadmium from a contaminated soil

Heavy metals in variable charge soil are highly bioavailable and easy to transfer into plants. Since it is impossible to completely eliminate rice planting on contaminated soils, some remediation and mitigation techniques are necessary to reduce metal bioavailability and uptake by rice. This pot experiment investigated the e ects of seven amendments on the growth of rice and uptake of heavy metals from a paddy soil that was contaminated by copper and cadmium. The best results were from the application of limestone that increased grain yield by 12.5–16.5 fold, and decreased Cu and Cd concentrations in grain by 23.0%–50.4%. Application of calcium magnesium phosphate, calcium silicate, pig manure, and peat also increased the grain yield by 0.3–15.3 fold, and e ectively decreased the Cu and Cd concentrations in grain. Cd concentration in grain was slightly reduced in the treatments of Chinese milk vetch and zinc sulfate. Concentrations of Cu and Cd in grain and straw were dependent on the available Cu and Cd in the soils, and soil available Cu and Cd were significantly a ected by the soil pH.     

Substrate-induced changes in microbial community-level physiological profiles and their application to discriminate soil microbial communities

The addition of simple substrates could affect the microbial respiration in soils. This substrate-induced respiration is widely used to estimate the soil microbial biomass, but little attention has been paid to its influence on the changes of community-level physiological profiles. In this study, the process of microbial communities responding to the added substrate using sole-carbon-source utilization （BIOLOG） was investigated. BIOLOG is biased toward fast-growing bacteria; this advantage was taken to detect the prompt response of the active microbial communities to the added substrate. Four soil samples from agricultural fields adjacent to heavy metal mines were amended with L-arginine, citric acid, or D-glucose. Substrate amendments could, generally, not only increase the metabolic activity of the microbial communities, but also change the metabolic diverse patterns compared with no-substrate control. By tracking the process, it was found that the variance between substrate-induced treatment and control fluctuated greatly during the incubation course, and the influences of these three substrates were different. In addition, the application of these induced changes to discriminate soil microbial communities was tested. The distance among all samples was greatly increased, which further showed the functional variance among microbial communities in soils. This can be very useful in the discrimination of microbial communities even with high similarity.     

Validation of an agricultural non-point source （AGNPS） pollution model for a catchment in the Jiulong River watershed, China

This study tested and evaluated the agricultural non-point source(AGNPS)model for the Wuchuan catchment, a typical agricultural area in the Jiulong River watershed, Fujian Province. China. The AGNPS model was calibrated and validated for the study area with observed data onten storms. Thedata on eight stormsin 2002 were used for calibration while data on two stormswere used for validation of the model. Considering the lack of water quality data over a long-term series, a novel method, comparing an internal nested catchment with its surrounding catchment, was used to supplement the less long-term series data. Dual calibration and validation of the AGNPS model was obtained by this comparison. The results indicate that the correlation coefficients were 0. 99 and 0. 98 for runoff, 0. 94 and 0. 95 forthe peak runoff rate of the large catchment and the small catchment, respectively, and 0. 76 forthe sediment of the small catchment only. Each pair of correlation coefficients is homogeneous for the same event for the two catchments. With the exception of the sediment yield and particulate phosphorus, the peak nmofr rate and other nutrients were well predicted. Sensitivity analysis showed that the Soil Conservation Service curve number and rainfall quantity were the most sensitive parameters, which resulted in high output variations. Erosivitv and other parameters had little influence on the hydrological and quality outputs.