可液化场地减震结构体系地震动特性影响效应研究∗

工程结构的地震响应规律与地震动特性紧密相关。为了研究地震动特性对可液化场地装设黏滞阻尼器的桩基‐结构体系地震响应和黏滞阻尼器减震效果的影响,选取24 条不同特性的地震动作为输入,针对可液化场地装设黏滞阻尼器的桩基‐结构体系数值模型进行非线性时程分析。结果表明：相比于远场地震动作用和近场非脉冲地震动作用,近场脉冲地震动作用下,液化场地减震结构体系具有更大的地震响应;近场脉冲地震动作用下,速度型黏滞阻尼器的减震效果得到了充分发挥;相同振幅下,地震动峰值速度(PGV)与液化场地减震结构体系地震响应的相关性最为显著,可作为评价液化场地减震结构体系地震响应的主要指标。研究结果对液化场地黏滞阻尼器的减震设计具有一定的借鉴意义。     

腐蚀疲劳交替环境下0Cr16Ni5Mo1不锈钢的损伤行为研究

目的 研究腐蚀疲劳交替环境下0Cr16Ni5Mo1不锈钢的损伤行为。方法 通过开展0Cr16Ni5Mo1不锈钢在不同腐蚀疲劳交替次数下的试验,分析腐蚀疲劳交替频率对疲劳寿命、表面形貌等的影响规律,明确其腐蚀疲劳交替损伤机理。结果 腐蚀时间一定时,0Cr16Ni5Mo1不锈钢试验件的疲劳寿命随着腐蚀疲劳交替频率的增加而增加。交替频次较低时,疲劳断裂部位主要发生在试验件表面或侧面的腐蚀损伤处;交替频次较高时,疲劳断裂部位开始内部缺陷处出现。试验件表面附着的腐蚀产物随着交替周期的进行而减少,但随着交替次数的增加,基体截面深处出现腐蚀产物。结论 0Cr16Ni5Mo1不锈钢试验件的疲劳寿命随交替次数的增加呈现指数函数规律的增长趋势。腐蚀-疲劳交替作用下,0Cr16Ni5Mo1不锈钢的表面腐蚀损伤形式主要为点蚀,裂纹主要萌生于试件表面的缺陷处,腐蚀加速了裂纹萌生的进程。交替次数的增加促进了表面和缺陷处钝化膜的生成,以及腐蚀产物在缺陷内部的堆积,从而使试验件寿命增大。     

渤海环流对近岸海域无机氮分布特征的影响

基于2017年渤海近岸海域无机氮监测数据和HYCOM数值模拟结果,分析了渤海环流对无机氮污染分布特征的影响,结果表明渤海无机氮的空间分布特征与其环流结构密切相关:受渤海环流的影响,在春、夏、秋季,无机氮含量高值区呈现不同的强度和范围;在辽东湾,与春季相比,夏季环流结构与春季相反、速度大于春季,盘锦、营口近岸海域夏季无机氮污染范围缩小、含量降低,在锦州近岸海域亦出现高值;在渤海湾、莱州湾,与春季相比,夏季和秋季无机氮含量高值区范围缩小,无机氮含量等值线均随环流向高值中心扩展。     

添加剩余活性污泥无害化处理含油钻屑

采用剩余活性污泥对废弃含油钻屑进行无害化处理。考察了加入剩余活性污泥后混合物料中微生物浓度、碱解氮含量、有效磷含量、总石油烃(TPH)含量和组分的变化,并对降解后混合物料的生物毒性进行了评价。实验结果表明:加入剩余活性污泥后,总细菌浓度保持在较高水平;碱解氮含量逐渐减少后保持稳定,有效磷含量在一定范围内波动,整体略有增加;剩余活性污泥的加入量为20%～60%(w)时, TPH去除率均达到74%以上,远高于未添加剩余活性污泥的对照组(28.8%);剩余活性污泥的添加能有效促进微生物对含油钻屑中TPH的降解及氮元素的转化,添加50%(w)以上的剩余活性污泥能使处理后含油钻屑的生物毒性更低,更有利于含油钻屑的无害化处理。     

汞矿区汞污染土壤的淋洗修复

以贵州省铜仁市汞矿区汞污染土壤为研究对象,分别采用KI、Na_2S_2O_3、乙二胺四乙酸、柠檬酸、酒石酸、十二烷基硫酸钠溶液对其进行淋洗修复,筛选出合适的淋洗剂,优化了淋洗条件,并探索了淋洗液的处理方法。实验结果表明:对该土壤淋洗效果最好的淋洗剂为Na_2S_2O_3,最佳淋洗条件为Na_2S_2O_3浓度0.01 mol/L、固液比(g/m L)1∶5、淋洗时间4 h、淋洗次数1次,在此条件下土壤中总汞的淋洗率为13.41%,有效态汞含量可降至原来的61.54%;Na2S对淋洗液中的汞具有较好的去除效果,每升淋洗液加入0.6 g Na_2S处理后,即可满足GB8978—1996《污水综合排放标准》。     

小型燃油锅炉NO_x的排放特征与管理控制

以68台燃油锅炉(≤10.5 MW)NO_x排放实测数据为基础,通过统计分析方法,研究了NO_x的排放特征;通过对比分析,探讨了我国燃油锅炉NO_x排放控制与管理现状,讨论了进一步加强我国燃油锅炉NO_x排放管理控制的可能性与可行性,并提出了相应的管理控制建议。结果表明,NO_x平均排放浓度为318.2 mg/m~3,基于燃料消耗量的平均排放因子为4.4 kg/t,基于燃料发热量的平均排放因子为102.8 ng/J,基于燃料氮含量的平均排放因子为2.1 mg/mg;建议采取分阶段控制的方式,逐步提高NO_x排放限制,从而实现控源减排目标。     

Floristic Characteristics and Biodiversity Patterns in the Baishuijiang River Basin,China

A case study was conducted on the forest ecosystem in the Baishuijiang River basin of China to reveal the influences of environmental factors and human disturbance on the floristic characteristics and biodiversity patterns. Field surveys of the floristic composition, environmental factors, and disturbance factors were conducted along an elevation gradient, and the relationships between biodiversity pattern and environmental factors were analyzed using CCA (canonical correspondence analysis). The results showed that the floristic composition of higher plants consisted of 197 families, 796 genera, 2165 species, 19 subspecies, 239 varietas, and 12 forma, and it was characterized by the multi-geographic composition and by the transition from tropical to temperate zones. Along an elevation gradient, the variations in α and β diversity were best described by a bimodal curve, and the peak values occurred at middle elevations. The CCA indicated that the elevation had the greatest influence on the biodiversity pattern, followed by the topographic index, slope direction, slope, slope position, slope shape, and vegetation coverage. In addition, human disturbance has greatly impacted the floristic composition and biodiversity patterns, and the biodiversity indices were higher with intermediate disturbance at middle elevations compared to higher and lower disturbances at low and high elevations, respectively. This reflected a disturbance–diversity pattern and thus revealed the obvious importance to maintain the intermediate disturbance for biodiversity conservation.     

超声氧化降解糠醛废水的研究

采用超声与氧化技术联合处理糠醛废水,其COD去除率可达87%,同时考察了反应时间、温度、初始浓度、超声频率、超声功率、H2O2和FeSO4初始浓度等工艺参数对COD去除效果的影响,为处理该种废水提供了一种清洁、简便、低能耗的净化方法.     

基于深度学习的复杂作业场景下安全帽识别研究

为有效预防由于个人防护缺失所造成的事故,着力探究复杂作业情况下施工人员安全帽佩戴情况的智能化识别.提出在Faster R-CNN目标检测算法的基础上,针对小目标的安全帽识别问题通过增加锚点提升检测能力,为解决数据集中类别不平衡问题采用Focal loss替代原本的损失函数,为解决安全帽预测区域不匹配问题,引入ROI A...     

Specific absorption and backscattering coefficients of the main water constituents in Poyang Lake, China

Obtaining and analyzing the specific inherent optical properties (SIOPs) of water bodies is necessary for bio-optical model development and remote sensing-based water quality retrievals and, further, for related ecological studies of aquatic ecosystems. This study aimed to measure and analyze the specific absorption and backscattering coefficients of the main water constituents in Poyang Lake, China. The specific absorption and/or backscattering coefficients of the main water constituents at 85 sampling sites (47 in 2010 and 38 in 2011) were measured and analyzed as follows: (1) the concentrations of chlorophyll a (C _CHL), suspended particulate matter (C _SPM) (including suspended particulate inorganic matter (C _SPIM) and suspended particulate organic matter (C _SPOM)), and the absorption coefficients of total particulate (a _p), phytoplankton (a _ph), and non-pigment particulate (a _d) were measured in the laboratory; (2) the total backscattering coefficients at six wavelengths of 420, 442, 470, 510, 590, and 700 nm, including the contribution of pure water, were measured in the field with a HydroScat-6 backscattering sensor, and the backscattering coefficients without the contribution of pure water (b _b) were then derived by subtracting the backscattering coefficients of pure water from the total backscattering coefficients; (3) the specific absorption coefficients of total particulate ( $ a_{\mathrm{p}}^{ * } $ ), phytoplankton ( $ {a_{{\mathrm{ph}}}}^{ * } $ ), and non-pigment particulate ( $ a_{\mathrm{d}}^{ * } $ ) were calculated by dividing a _p, a _ph, and a _d by C _SPM, C _CHL, and C _SPIM, respectively, while the specific backscattering coefficients of total suspended particulate matter ( $ b_{\mathrm{b}}^{ * } $ ) were calculated by dividing b _b by C _SPM; and (4) the $ {a_{{\mathrm{ph}}}}^{ * } $ , $ a_{\mathrm{d}}^{ * } $ , $ a_{\mathrm{p}}^{ * } $ and $ b_{\mathrm{b}}^{ * } $ of the remaining samples (46 in 2010 and 36 in 2011) were visualized and analyzed, and their relations to C _CHL, C _SPIM or C _SPM were studied, respectively. The main results are summarized as follows: (1) the $ {a_{{\mathrm{ph}}}}^{ * } $ values at 440 nm were 0.0367–0.7203 m²?mg^?1 with a mean of 0.1623?±?0.1426 m²?mg^?1 in 2010 and 0.0319–0.7735 m²?mg^?1 with a mean of 0.3145?±?0.1961 m²?mg^?1 in 2011; there existed significant, negative, and moderate correlations between $ {a_{{\mathrm{ph}}}}^{ * } $ and C _CHL at 400–700 nm in 2010 and 2011 (p?<?0.05); (2) The $ a_{\mathrm{d}}^{ * } $ values at 440 nm were 0.0672–0.2043 m²?g^?1 with a mean of 0.1022?±?0.0326 m²?g^?1 in 2010 and 0.0559–0.1347 m²?g^?1 with a mean of 0.0953?±?0.0196 m²?g^?1 in 2011; there existed negative correlations between $ a_{\mathrm{d}}^{ * } $ and C _SPIM, while the correlations showed overall decreasing and increasing trends before and after around 575 nm with increasing wavelengths, respectively; (3) The $ a_{\mathrm{p}}^{ * } $ values at 440 nm were 0.0690–0.1929 m²?g^?1 with a mean of 0.1036?±?0.0298 m²?g^?1 in 2010 and 0.0571–0.1321 m²?g^?1 with a mean of 0.1014?±?0.0191 m²?g^?1 in 2011, and the negative correlations between $ a_{\mathrm{p}}^{ * } $ and C _SPM were found in both years; (4) The $ b_{\mathrm{b}}^{ * } $ at the six wavelengths generally decreased with increasing wavelengths, while the $ b_{\mathrm{b}}^{ * } $ values at 420 nm were lower than those at 442 nm for some samples; the correlation between $ b_{\mathrm{b}}^{ * } $ and C _SPM increased with increasing wavelength. Such results can only represent the SIOPs during the sampling time periods, and more measurements and analyses considering different seasons need to be carried out in the future to comprehensively understand the SIOPs of Poyang Lake.