矿山法双线地铁施工仿真及地表沉降数值分析

研究了左右双线矿山法隧道施工时的短期地面沉降。采用矿山法进行双线掘进,两隧道中心距13.2m,V级围岩CRD法进行施工,两侧隧道断面对称开挖。使用FLAC3D进行沉降分析,该软件能模拟地下隧道的掘进、支护和掌子面支护等。针对某地地质特征进行预测,这些特征是决定地面沉降量的关键因素。通过模拟左右双隧道对称掘进施工的暗挖隧道施工过程,得到了施工时的地面沉降规律,即沉降可分为两个阶段,且第一阶段沉降大于第二阶段沉降。最终为在市内建筑物密集区域修建地铁隧道提供安全可行的方法。     

Integrating ecosystem services evaluation and landscape pattern analysis into urban planning based on scenario prediction and regression model

ABSTRACT

Urban planning has become a widely concern for minimizing the negative effects of urban expansion on terrestrial ecosystems. We developed an interdisciplinary modeling framework to evaluate the effectiveness and shortcomings of urban expansion management strategies. A three-step method was applied to Yinchuan Plain in the northwestern of China, including (1) analyzing the relationship between landscape pattern and ecosystem service values through mathematical statistics; (2) predicting landscape pattern and ecosystem services change under different scenarios based on cellular automaton model (SLEUTH-3r model); and (3) designing and validating optimized scenario through integrating historical analysis experiments and future multi-comparison suggestions. Results have suggested that landscape composition and configuration can significantly affect regional ecosystem service values, especially the connectivity and shape of landscape. Compact urban growth policy and medium environment protection policy are the appropriate setting for urban expansion plan. Optimization validation of the combined designed scenario implied the reliability of this method. Our results highlighted the significance of integrating application of landscape pattern analysis, ecosystem service value evaluation, model simulation and multi-scenario prediction in urban planning.     

基于ANN的土壤重金属分布和污染评价研究

农田土壤重金属污染与备受关注的农产品安全问题有密切联系,因此对其进行研究意义重大。以江苏省南通市为研究区,利用采样点实测数据,借助神经网络模型(ANN)并结合3S技术对问题进行研究,从而对土壤重金属的空间动态分布进行描述,并对各个空间位点重金属的污染状况进行评价。结果表明,神经网络模型能够智能地学习各个样点的空间位置与该点各重金属含量之间的映射关系和预先设计好的分类评价模式,并能够稳健地对各个空间插值点处的重金属含量和各个位点的重金属污染状况进行预测和评价。结论显示,南通市大部分农田土壤重金属污染较轻,但也存在局部地区的严重污染。结论与实际情况相符,表明神经网络模型可以为农田土壤重金属的研究提供一个新的思路和方法。     

Identification of close relationship between atmospheric oxidation and ozone formation regimes in a photochemically active region

Understanding ozone (O₃) formation regime is a prerequisite in formulating an effective O₃ pollution control strategy. Photochemical indicator is a simple and direct method in identifying O₃ formation regimes. Most used indicators are derived from observations, whereas the role of atmospheric oxidation is not in consideration, which is the core driver of O₃ formation. Thus, it may impact accuracy in signaling O₃ formation regimes. In this study, an advanced three-dimensional numerical modeling system was used to investigate the relationship between atmospheric oxidation and O₃ formation regimes during a long-lasting O₃ exceedance event in September 2017 over the Pearl River Delta (PRD) of China. We discovered a clear relationship between atmospheric oxidative capacity and O₃ formation regime. Over eastern PRD, O₃ formation was mainly in a NO_x-limited regime when HO₂/OH ratio was higher than 11, while in a VOC-limited regime when the ratio was lower than 9.5. Over central and western PRD, an HO₂/OH ratio higher than 5 and lower than 2 was indicative of NO_x-limited and VOC-limited regime, respectively. Physical contribution, including horizontal transport and vertical transport, may pose uncertainties on the indication of O₃ formation regime by HO₂/OH ratio. In comparison with other commonly used photochemical indicators, HO₂/OH ratio had the best performance in differentiating O₃ formation regimes. This study highlighted the necessities in using an atmospheric oxidative capacity-based indicator to infer O₃ formation regime, and underscored the importance of characterizing behaviors of radicals to gain insight in atmospheric processes leading to O₃ pollution over a photochemically active region.     

超低排放下燃煤电厂氨排放特征

燃煤电厂采用SCR(选择性催化还原)脱硝过程消耗大量的氨,同时存在氨逃逸和氨排放问题.为了掌握超低排放燃煤机组的氨排放程度、脱硝氨逃逸情况以及各环保设施对氨的协同脱除能力,为燃煤电厂氨减排政策制定和氨减排技术研发提供支持.在京津冀大气污染传输通道城市中选取11个城市中的14台机组,采用例如DL/T 260—2012《燃煤电厂烟含脱硝装置性能验收试验规范》的标准方法用稀硫酸吸收烟气中的氨再结合分光光度测试方法,对环保设施多个位置的烟气中氨进行浓度测试.结果表明:①氨排放浓度介于0.05~3.27 mg/m3之间,平均约0.95 mg/m3,通过烟气排入大气中氨的浓度不高;②测试的14台机组中有7台机组(约50%)脱硝氨逃逸值高于设计值(2.28 mg/m3),说明脱硝氨逃逸超过设计值呈普遍现象,个别电厂脱硝氨逃逸严重,氨逃逸亟待解决;③环保设施对逃逸氨具有较好的协同脱除能力,平均脱除率约为64.86%.建议对于SCR脱硝氨逃逸严重的机组,对SCR出口烟道截面氮氧化物(NO_x)实施网格式测试,在此基础上实施精细化精准喷氨、优化流场、提高SCR脱硝运行水平(或采用专业化运维),从源头上减少氨耗量,降低系统能耗和氨排放.      

石家庄市主城区臭氧污染特征及气象成因分析

为了解石家庄市主城区O₃(臭氧)污染特征及其影响因子,基于2015-2018年石家庄市空气质量连续监测资料和同期气象数据分析了主城区O₃污染总体特征及气象成因.结果表明:①石家庄市主城区大气光化学污染日益严峻,ρ(O₃)日均值由2015年的47 μg/m3增至2018年的66 μg/m3,ρ(O₃)超过GB 3095-2012《环境空气质量标准》二级标准限值的天数由2015年的20 d增至2018年的70 d.②ρ(O₃)存在明显的季节性差异,呈夏季[(89±33)μg/m3] >春季[(69±25)μg/m3] >秋季[(40±26)μg/m3] >冬季[(28±16)μg/m3]的特征;ρ(O₃)日变化呈单峰型分布,谷值出现在06:00-07:00,峰值出现在15:00-16:00,且15:00-17:00是ρ(O₃)超标的高发时段.③ρ(O₃)与气温呈指数关系,当气温为20~25、25~30、≥ 30℃时,ρ(O₃)日均值分别为75、90及119 μg/m3.ρ(O₃)在相对湿度为60%时存在拐点,当相对湿度≤ 60%时,ρ(O₃)随相对湿度的增大而上升;当相对湿度>60%时,ρ(O₃)随相对湿度的增大而下降.风速与ρ(O₃)呈分段线性关系,当风速 < 2 m/s时,ρ(O₃)随风速的增加而上升;当风速≥ 2 m/s时,ρ(O₃)随风速的增加而下降.④影响石家庄市主城区ρ(O₃)升高的污染源主要位于其东-东南-南方位,其次为东北-东方位,而西部和北部地区则较少.⑤石家庄市主城区ρ(O₃)超标多发生在气温>20℃,相对湿度介于40%~70%之间,风速在1.5~3.0 m/s之间的气象背景下,经统计,当气象条件同时符合上述三项气象要素时,ρ(O₃)超标天数占3-10月总超标天数的66.5%.研究显示,气温>20℃、相对湿度为40%~70%、风速为1.5~3.0 m/s的气象条件可初步作为石家庄市主城区O₃污染的预警指标.      

改性锯末吸附含Cr（Ⅵ）废水的实验研究

初步探讨了以改性后的锯末作为吸附剂去除废水中的Cr（Ⅵ）,实验表明改性锯末对于不同浓度的含Cr（Ⅵ）废水都具有较高的去除率。同时通过实验研究了pH值、吸附时间、吸附剂量、初始浓度等因素对吸附去除率的影响。     

作物和土壤中DEHP测定的前处理

介绍农田土壤和农作物样品中微量ＤＥＨＰ测定的前处理方法。该法选用三氯甲烷为抽提液,加入吸水剂进行革取、抽提和浓缩。与北京、丹麦和美国等测试方法相比较,革取时间为０．５—０．７ｈ,缩短了２—１１ｈ;溶剂用量为７５—９０ｍｌ,节省溶剂１１０—１２００ｍｌ;操作简便、分离效果好;样品中ＤＥＨＰ的回收率除棉花籽实外,其余均达９０％左右,变异系数约土３％。该法适宜在酞酸酯监测中推广应用。     

小麦-玉米轮作体系农田氮素淋失特征及氮素表观平衡

连续6年采用渗漏计法研究了不同施氮处理下陕西关中小麦-玉米轮作区农田土壤90 cm深度处氮素(N)淋失特征和土壤-作物体系氮素表观平衡状况.结果表明:该地区农田氮素淋溶主要发生在降雨量较多的玉米季,且集中在8月和9月.监测期内,TN和NO-3-N年平均流失量分别为2.72~23.07 kg·hm-2和1.53~18.72 kg·hm-2,年流失率分别为0.65%~3.44%和0.82%~3.32%,且年总氮、硝态氮流失量均随年施氮量增加呈指数增加.氮素淋失形态中,NO-3-N比例较高,可占总氮淋失量的56.00%~81.00%,且随着氮肥用量的降低,其占总氮淋失量的比例也随之减小.可见,施氮量的大小在一定程度上会影响淋失液中各形态氮的比例.氮素表观平衡结果显示,随着施氮量提高,氮素在土壤中的残留和表观氮盈余均呈现指数增加趋势.长期施氮条件下,土壤-作物体系氮素表观损失率的幅度为32.60%~55.20%,土壤表观残留率为-0.17%~8.20%.多年监测结果表明,优化施氮模式下,作物不仅可以获得较高的产量和氮肥利用率,农田氮素淋失量也大幅降低,在节约肥料资源的同时减轻了潜在的环境风险.     

Ag3PO4/g-C3N4复合光催化剂的制备及其可见光催化性能

采用简单的原位沉淀法合成了可见光驱动型光催化剂Ag₃PO₄/g-C₃N₄.利用X-射线衍射（XRD）、傅里叶红外光谱（FT-IR）、扫描电子显微镜（SEM）、X-射线能谱（XPS）以及紫外可见漫反射光谱（UV-Vis DRS）等表征手段对合成的样品进行了表征.与单一的Ag₃PO₄和g-C₃N₄相比,Ag₃PO₄/g-C₃N₄复合材料对左氧氟沙星表现出了更高的催化效率.根据能带分析和自由基捕获试验,提出了Ag₃PO₄/g-C₃N₄复合材料Z型异质结构的作用机制.