Arsenic contamination caused by roxarsone transformation with spatiotemporal variation of microbial community structure in a column experiment

Arsenic contamination from roxarsone in livestock manure is common, and livestock manure continuously accumulates in the open environment. Evaluations of the environmental processes of As mobilization and transformation are critical for predicting the fate of As compounds after roxarsone degradation. In this study, spatiotemporal variations in As species and microbial community structure were characterized using laboratory column experiments with background soil collected from Yanggu County (northern Shandong Plain, China), a region of intense poultry production. Organic and inorganic arsenic were detected by high-performance liquid chromatography (HPLC) and HPLC with hydride generation atomic fluorescence spectrometry (HPLC-HG-AFS), respectively. High-throughput sequencing technology was used to describe microbial diversity. Results showed that roxarsone was transformed completely within 7 days, and As(Ⅲ) and As(Ⅴ) were the major degradation products. The concentration of As(Ⅲ) was much lower than that of As(Ⅴ). The As(Ⅲ) concentration increased significantly after Day 14, whereas the As(Ⅴ) concentration increased significantly after Day 84, indicating that As(Ⅲ) was initially produced. The microbial community structure changed significantly as roxarsone transformed into various As compounds. A critical and dominant bacterial strain, norank_f__Family_XVⅢ, was found to be related to the degradation of roxarsone into As(Ⅲ). This study improves our understanding of the fate of As species released from poultry litter to soil and groundwater, which is a threat to human health and environment.     

Machine learning reveals the influences of grain morphology on grain crushing strength

Acta Geotechnica - Grain morphology has significant impacts on the mechanical behaviors of granular materials. However, its influences on grain breakage are still poorly understood due to the...     

地面观测资料地形高度订正对我国东部暴雨数值模拟的影响

采用中尺度气象模式 WRFv3.8.1(Weather Research and Forecasting Model)和 GSI 同化系统(Gridpoint Statistical Interpolation System),建立了一套循环同化系统,开展了一个月的地面观测资料、探空资料、雷达资料和卫星资料的同化试验....     

新疆哈密大南湖地区层间氧化带特征研究

新疆大南湖地区的层间氧化带发育层位为中侏罗统西山窑组第二、三岩性段砂砾岩,以褐黄色为主;层间氧化带具多层性,埋深31～343 m,厚度2～138 m;层间氧化带分为氧化带、氧化-还原过渡带和原生带;铀矿体主产于氧化-还原过渡带中;新构造运动形成的最终构造格架控制了层间氧化带的发育方向和基本形态,不同粒度且非致密结构的砂砾岩和冲积扇相、辫状河相沉积则决定层间氧化带发育的厚度和规模,由南向北流的承压地下水造成区内层间氧化带前锋线呈向北延伸的趋势.     

新疆及中亚地区斜坡灾害研究现状与展望

新疆和中亚五国山河相连,都是"一带一路"建设的重要支点,但也是滑坡、泥石流等斜坡灾害的高发区,且两地的地质灾害发育有着明显的共性.本文对新疆和中亚地区的斜坡灾害研究现状进行综述,分析了两地斜坡灾害形成机理、发育规律,即中高山地分布集中,受降雨和冰雪融水影响很大,黄土滑坡发育.新疆的斜坡灾害研究多围绕公路、水利等工程设施...     

巴里坤地震台SQ-70DSi水平摆观测数据干扰分析

基于2018—2021年巴里坤地震台水平摆观测资料,选取典型受干扰曲线,分析其变化趋势,总结仪器运行中存在的各类干扰因素。研究发现,干扰主要包括自然干扰(降雨、气压、雷击)、人为干扰(进洞巡检、调零标定、仪器维修)、仪器自身故障(数采故障、光源灯故障)等。     

基于小波神经网络耦合模型对云南星云湖富营养化气象驱动因子的分析

气象因子是影响湖泊富营养化的重要因素,而湖泊富营养化对人群健康、生态系统和社会经济等均有负面影响.本文基于统计资料及遥感数据,结合Morlet小波分析和BP多层前馈神经网络(BP神经网络)构建了不同时间尺度下的小波神经网络耦合模型,分析了19862011年云南星云湖水华强度变化与月降雨量、月平均气温、月平均风速、月日照...     

Pb distribution and translocation in Jiaozhou Bay

The trends of distribution, translocation and seasonal change of heavy metal Pb were studied based on the surface and bottom water sampling in Jiaozhou Bay in 1979, and compared with those in 1990＇s. The results showed that the source of Pb in the bay was from wastewater and sewage in the east of Jiaozhou Bay from ocean vessels. Pb concentration was higher in spring and lower in summer and autumn, and remained stable through sedimentation in the bottom layer. The overall water quality was good in 1970＇s. Compared with the environmental monitoring data of 1995-1999, Pb pollution had become serious. Therefore, more efforts should be made to protect the bay from Pb pollution.     

Effects of nutritional factors on the growth and heterotrophic eicosapentaenoic acid production of diatom <Emphasis Type="Italic">Nitzschia laevis</Emphasis>

The effects of several nutritional factors on the growth and eicosapentaenoic acid (EPA) production of diatom Nitzschia laevis were studied. 4 LDM (quadrupled concentration of the nutrient salt) was the optimal concentration of nutrient salt for the growth and EPA production of N. laevis. The growth of N. laevis was inhibited when the glucose concentration was either lower than 10 gL⁻¹ or higher than 15 gL⁻¹. Both sodium nitrate and urea were good nitrogen sources for the growth and EPA production, while ammonium chloride seriously decreased the dry cell weight (DW) and the EPA content. Silicate seriously influenced the growth of N. laevis. The maximum DW of 2.34 gL⁻¹ was obtained in the presence of 150 mgL⁻¹ Na₂SiO₃·9H₂O. The EPA content remained almost the same when the silicate concentration was lower than 150 mgL⁻¹; however, higher silicate concentrations resulted in a steady decrease of EPA content. Low medium salinity (⩽29) did not seem to influence the DW of N. laevis, and high salinity resulted in a decrease of DW. The highest EPA content (4.08%) and yield (110 mgL⁻¹) were observed at the salinity of 36 and 29, respectively.     

基于最小二乘配置法的沿海高程异常模型建立研究

陆海统一高程基准的关键是高程异常模型的建立,本文采用既考虑函数模型中非随机变量同时考虑随机部分的最小二乘配置法进行高程异常的拟合推估,建立区域高程异常模型,并与常用方法进行比较分析.以江苏沿海高程异常模型建立为例,研究得出不同拟合方法的拟合精度和残差图各有特点,最小二乘配置法的外部符合精度最高.