A multidecadal oscillation in precipitation and temperature series is pronounced in low flow series from Puget Sound streams

In Pacific Northwest streams, summer low flows limit water available to competing instream (salmon) and out-of-stream (human) uses, creating broad interest in how and why low flows are trending. Analyses that assumed linear (monotonic) change over the last ~60 years revealed declining low flow trends in minimally disturbed streams. Here, polynomials were used to model flow trends between 1929 and 2015. A multidecadal oscillation was observed in flows, which increased initially from the 1930s until the 1950s, declined until the 1990s, and then increased again. A similar oscillation was detected in precipitation series, and opposing oscillations in surface temperature, Pacific Decadal Oscillation, and Interdecadal Pacific Oscillation series. Multidecadal oscillations with similar periods to those described here are well known in climate indices. Fitted model terms were consistent with flow trends being influenced by at least two drivers, one oscillating and the other monotonic. Anthropogenic warming is a candidate driver for the monotonic decline, and variation in (internal) climatic circulation for the oscillating trend, but others were not ruled out. The recent upturn in streamflows suggests that anthropogenic warming has not been the dominant factor driving streamflow trends, at least until 2015. Climate projections based on simulations that omit drivers of multidecadal variation are likely to underestimate the range, and rate of change, of future climatic variation.     

Rainfall Interception Based on Indirect Methods: A Case Study in Temperate Forests in Oaxaca,Mexico

Rainfall interception represents the amount of water trapped in natural cover that is not drained directly to the ground. Intercepted rainfall may evaporate after a rain event, making it one of the main drivers of water balance and hydrologic regionalization. This process can be affected by factors such as climate, altitude, vegetation type, and topography. Here is a simple method of calculating rainfall interception in temperate forests using in Santa Maria Yavesia, Oaxaca, and Mexico as an illustrative study area. We used two rain gauges to measure net precipitation (N_p) under the canopy at each study site and one gauge outside the canopy to obtain gross precipitation (G_p). Throughfall (T_h) was indirectly measured using hemispherical photographs. Rainfall interception was obtained through a combination T_h and G_p and N_p. The mean rainfall interception was 50.6% in the Abies forests, 23%–40% in the coniferous‐mixed forests, and 27.4% in the broad‐leaved forests. We classified rainfall events by intensity to determine the effect of canopy structure and precipitation and found that 75% of the events were weak events, 24% were moderate events, and 1% were strong events. In addition, we found that rainfall interception was lower when the intensity of precipitation was higher. Our method can be replicated in different ecosystems worldwide as a tool for assessing the influence of rainfall interception in terms of ecological services.     

呼吸效应对矿井封闭火区氧浓度的影响分析

为避免因火区封闭导致重大安全事故发生，通过采集某矿井1 d内3个不同监测点的大气压力变化情况，建立大气压力波动模型并分析计算，同时建立火区内外压差100，750 Pa情形下的氧浓度模型进而获得火区内侧氧气浓度因呼吸效应，在不同压差、体积大小火区、风阻、瓦斯涌出量、封闭时刻等多因素耦合影响下随时间的变化规律，以评估火区危险性。研究结果表明:井下大气随地面大气周期波动，封闭火区内、外侧之间的气压差因外界大气波动呈现16 h的余弦波动和8 h的线性波动周期变化；密闭质量好的火区具有更好地抗干扰性，内侧氧浓度的降低主要依靠瓦斯稀释；密闭质量差的火区，内侧氧浓度易受到火区涌出瓦斯、外界涌入大气双重影响；火区氧浓度在2%~12%之间波动，以至火区存在发生瓦斯爆炸的可能性；火区内外压差较大时，氧浓度波动变化幅度更大，危险作用持续时间更长。结合火区氧浓度波动模型，可有效地对矿井火区采取安全的防范措施，避免瓦斯爆炸事故发生。     

交通限行对大气颗粒物及PM2.5中二NFDA1英的影响

为了研究北京大气颗粒物和二NFDA1英(PCDD/Fs)的污染状况以及评估交通限行对大气颗粒物和PCDD/Fs的影响。利用同位素稀释高分辨率气相色谱/高分辨率质谱(HRGC/HRMS)联用法和USEPA 1613B 标准方法,以中国地质大学(北京)东门为采样点,采集大气PM_2.5、PM₁₀、TSP样品,对北京市交通限行期间以及交通限行前后等不同交通状况下颗粒物浓度及大气PM_2.5中17种2,3,7,8-PCDD/Fs污染特征进行了监测。结果表明,PM_2.5、PM₁₀、TSP的日均质量浓度在交通限行前分别为126、202、304 μg/m³,限行期间分别为39、78、93 μg/m³,限行结束后分别为79、126 μg/m³。PM_2.5中17种PCDD/Fs的质量浓度(毒性浓度)3个时段分别为1 804 fg/m³(70 fg I-TEQ/m³)、252 fg/m³ (9 fg I-TEQ/m³)和1 196 fg/m³ (48 fg I-TEQ/m³)。北京市交通限行期间颗粒物浓度和二 NFDA1 英浓度显著低于交通限行前后,交通源减排措施的实施是大气颗粒物和二 NFDA1英污染水平降低的主要原因,从减排效果看,交通源减排措施对大气细颗粒物(PM_2.5)的控制效果明显好于大气粗颗粒物。     

冷空气在北上台风“利奇马”致灾暴雨中的作用分析

利用NCEP逐6 h再分析资料、地面加密观测、探空、雷达资料,分析得出“利奇马”致灾暴雨是在长时间稳定维持的天气尺度环流背景下形成的。冷空气在降水所起的作用表现在:(1)长时间维持的弱冷空气与偏南暖湿气流交汇形成了边界层辐合线,辐射升温和暖湿气流的输送加大了辐合线两侧的温度和露点梯度,在高温高湿的有利环境下,对流在辐合线附近强烈发展。(2)高空槽后冷空气由“利奇马”环流西北侧渗入,先后形成3个冷平流中心,分别对应3个阶段的降水。(3)冷暖空气在降水区的持续辐合抬升作用增强了降水,最强降水时段发生在锋区垂直方向坡度最大的时段。(4)水平锋生有利于水汽输送和辐合抬升,垂直锋生有利于对流不稳定能量的累积和触发。冷空气形成的水平辐合和抬升造成大范围上升运动,使得锋生和垂直锋消同时存在,最强降水时段发生在水平锋生最强的时段。     

Comparison and Evaluation of Gridded Precipitation Datasets in a Kansas Agricultural Watershed Using SWAT

Gridded precipitation datasets are becoming a convenient substitute for gauge measurements in hydrological modeling; however, these data have not been fully evaluated across a range of conditions. We compared four gridded datasets (Daily Surface Weather and Climatological Summaries [DAYMET], North American Land Data Assimilation System [NLDAS], Global Land Data Assimilation System [GLDAS], and Parameter‐elevation Regressions on Independent Slopes Model [PRISM]) as precipitation data sources and evaluated how they affected hydrologic model performance when compared with a gauged dataset, Global Historical Climatology Network‐Daily (GHCN‐D). Analyses were performed for the Delaware Watershed at Perry Lake in eastern Kansas. Precipitation indices for DAYMET and PRISM precipitation closely matched GHCN‐D, whereas NLDAS and GLDAS showed weaker correlations. We also used these precipitation data as input to the Soil and Water Assessment Tool (SWAT) model that confirmed similar trends in streamflow simulation. For stations with complete data, GHCN‐D based SWAT‐simulated streamflow variability better than gridded precipitation data. During low flow periods we found PRISM performed better, whereas both DAYMET and NLDAS performed better in high flow years. Our results demonstrate that combining gridded precipitation sources with gauge‐based measurements can improve hydrologic model performance, especially for extreme events.     

A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification

● Established a quantification method of pollutant emission standard. ● Predicted the SO₂ emission intensity of single coking enterprises in China. ● Evaluated the influence of pollutant discharge standard on prediction accuracy. ● Analyzed the SO₂ emissions of Chinese provincial and municipal coking enterprises. Industrial emissions are the main source of atmospheric pollutants in China. Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely. Based on China’s coking enterprises in 2020, we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards (QRPES) into the construction of support vector regression (SVR) and random forest regression (RFR) prediction methods for SO₂ emission of coking enterprises in China. The results show that, affected by the types of coke ovens and regions, China’s current coking enterprises have implemented a total of 21 emission standards, with marked differences. After adding QRPES, it was found that the root mean squared error (RMSE) of SVR and RFR decreased from 0.055 kt/a and 0.059 kt/a to 0.045 kt/a and 0.039 kt/a, and theR² increased from 0.890 and 0.881 to 0.926 and 0.945, respectively. This shows that the QRPES can greatly improve the prediction accuracy, and the SO₂ emissions of each enterprise are highly correlated with the strictness of standards. The predicted result shows that 45% of SO₂ emissions from Chinese coking enterprises are concentrated in Shanxi, Shaanxi and Hebei provinces in central China. The method created in this paper fills in the blank of forecasting method of air pollutant emission intensity of single enterprise and is of great help to the accurate control of air pollutants.     

新型机械澄清池设备的设计及在尾矿水处理中的应用

国内现有的机械加速澄清池因池体及设备结构的原因,存在刮泥耙直径小、驱动扭矩低,高负荷时排泥差等问题,不能满足用户对设备大池径（大于Ф29m）、大处理量、高效澄清、多用途的要求。介绍了新型澄清池设备的工艺、结构设计及特点。新型机械澄清池设备通过对池体结构的改进设计,及对刮泥机、提升搅拌机、排泥防堵搅拌机三者同心套装结构,扭矩可达百万牛顿米的带齿回转支承及多组电机同步驱动的刮泥耙驱动机构,池周边增设斜板及集水装置等方面的设计,实现了池径大于qb29in机械澄清池的设计制造,填补了国内该项目的空白,经矿山尾矿水处理实际应用证明效果理想。     

维管束植物桂花树叶片对大气氮沉降的吸收研究

本文通过测定维管束植物桂花树叶片的氮含量和氮同位素组成,分析其对大气氮沉降的截留吸收机制。为期一年(2009.03～2010.03)的监测数据显示,桂花树叶片氮含量为1.33%～3.09%,平均值为2.18%;叶片δ15 N为+0.54‰～+3.78‰,均值为+2.29‰。桂花树叶片N%、δ15 N的季节性变化趋势,总体呈现春、冬高,夏、秋低的规律,这与已有的贵阳市雨水监测数据一致。对比不同树冠厚度的叶片样品,发现叶片N%随树冠厚度增加而降低,顶部叶片N%表现为最高(2.39±0.4%),说明桂花树的树冠层对大气氮沉降有明显的截留吸收作用。桂花树顶部叶片δ15 N最偏负,而上覆树冠层最厚的下方叶片的δ15 N最偏正,反映了树冠层在吸收大气氮沉降过程中存在选择性吸收,引起同位素分馏,即树冠层越厚,穿冠水δ15 N越偏正,且分馏程度与树冠厚度成正比,导致下方叶片δ15 N最高。     

锌在辽宁红沿河核电站的大气腐蚀研究

通过锌在红沿河核电站的大气暴露试验,研究了锌在红沿河地区SO2,Cl-含量较高以及高湿的环境条件下的腐蚀规律。试验结果表明锌的腐蚀质量损失与暴露时间呈线性关系。利用扫描电子显微镜、Fourier变换红外光谱仪以及X射线衍射仪对锌表面腐蚀产物进行了分析,进一步分析了腐蚀质量损失与暴露时间呈线性关系的原因,并探讨了锌在SO2,Cl-含量较高以及高湿的环境条件下的腐蚀机理。