溶解氧和光照对狐尾藻衰亡释放氮磷碳的影响

将杀青后的狐尾藻(Myriophyllum spicatum)切成0.5～1cm段浸泡于添加氯仿(抑制微生物活性)的装水烧杯中,置于人工气候箱(温度为5℃),考察光照和溶解氧对因植物组织溶解而导致的氮磷碳释放的影响。研究结果表明曝气组总氮释放量平均3.33mg/L,比不曝气组高6.39%。总磷释放量平均15.07mg/L,比不曝气组低50%以上。COD平均释放量66.83mg/L,为不曝气组2倍以上。(1)曝气抑制了硝氮释放。在搅拌作用下,植物残体和水溶液充分碰撞与接触,加速植物残体中氮和碳向水中转化,导致曝气组总氮、氨氮、有机氮和COD升高。曝气组植物残体破碎导致表面积增加对磷吸收的促进程度强于对附着作用的降低以及植物残体磷释放作用的增加,综合作用下导致水中磷浓度降低。曝气抑制了硝氮、总磷、溶解性总磷和溶解性无机磷释放。(2)有光照组总氮、总磷和COD平均浓度分别为3.13,30.53和32.51mg/L,分别为无光照组的1.24,3.28和2.46倍。光照促进狐尾藻总氮、氨氮、硝氮、总磷、溶解性总磷、溶解性无机磷及碳的释放,但抑制有机氮释放。     

某企业明胶废水处理工程设计

气浮＋水解＋SBR工艺在处理明胶废水中是可行的。SBR工艺去除水中大部分的COD、BOD5,还可同时脱氮除磷。运行结果表明：用该工艺处理明胶废水,其出水完全可以达到《污水排人城市下水道水质标准》（CJ3082—99）的规定。     

基于神经网络的闸阀模糊可靠度计算

为提高闸阀可靠度计算准确性,将模糊准则引入闸阀可靠性设计,将闸阀应力与阀体通径、内压之间隐式关系显式化,并基于神经网络构建地震工况下闸阀数学模型;利用蒙特卡洛法,计算闸阀在常规方法下的可靠度;利用正态型隶属函数描述闸阀强度的模糊性,计算闸阀在考虑模糊强度时的可靠度;对比强度的模糊性对可靠度计算结果的影响,分析不同隶属函数下的闸阀模糊可靠度。与传统随机可靠度计算方法相比,该方法对不确定性描述更合理,理论上对可靠度的计算更加准确。     

泄爆面积比对泄爆门封闭泄爆特性的影响研究*

为研究泄爆面积比对泄爆门泄爆特性的影响,运用FLUENT软件建立煤矿井下1∶1巷道模型,在不同泄爆面积比的工况下对瓦斯爆炸传播规律及泄爆过程进行模拟,分析其变化特征和封闭泄爆效果。结果表明:S0工况条件下,压力和温度衰减后保持在0.29 MPa和565 K;S1~S4工况条件下,S4比S1,S2和S3达到封闭状态时间快780,260,50 ms,封闭时间最大节省70.91%;随着泄爆面积比的增大,封闭火区内的压力的峰值、峰值数量和达到封闭状态时间减小,泄爆能力增强;火焰速度峰值和衰减速率增大;温度的初始峰值、峰值数量和达到稳定状态时间减小,最大峰值反而增大,说明泄爆门对瓦斯爆炸火焰无抑制作用。     

ERD of Residual TCE DNAPL Achieving Nondetect from a Single Injection of Food‐Grade Waste

Residual dense nonaqueous phase liquid (DNAPL) composed of trichloroethene (TCE) was identified in a deeper interval of an overburden groundwater system at a manufacturing facility located in northern New England. Site hydrostratigraphy is characterized by two laterally continuous and transmissive zones consisting of fully‐saturated fine sand with silt and clay. The primary DNAPL source was identified as a former dry well with secondary contributions from a proximal aboveground TCE storage tank. A single additive‐injection mobilization in 2001 utilizing a food‐grade injectate formulated with waste dairy product and inactive yeast enhanced residual TCE DNAPL destruction in situ by stimulating biotic reductive dechlorination. The baseline TCE concentration was detected up to 97,400 μg/L in the deeper interval of the overburden groundwater system, and enhanced reductive dechlorination (ERD) achieved >99 percent reduction in TCE concentrations in groundwater over nine years with no evidence of sustained rebound. TCE concentrations have remained nondetect below 2.0 μg/L for the last five consecutive sampling rounds between 2013 and 2015. ERD utilizing a food‐grade injectate is a green remediation technology that has destroyed residual DNAPL at the site and achieved similar results at other residual DNAPL sites during both pilot‐ and full‐scale applications. ©2016 Wiley Periodicals, Inc.     

New investigation findings on the 2006 Danvers,MA explosion

On November 22, 2006 the largest explosion in the history of Massachusetts occurred in Danvers, MA at approximately 2:46 am. This paper presents a detailed analysis into the potential causes and lessons learned from the Danvers explosion. Other investigative groups concluded that the cause of the explosion was an overheated production tank. However, the analyses presented here demonstrate that their proposed scenario could not have occurred and that other potential causes are more likely.Using the computational fluid dynamics tool FLACS, it was possible to investigate the chain of events leading to the explosion, including: (1) evaluating various leak scenarios by modeling the dispersion and mixing of gases and vapors within the facility, (2) evaluating potential ignition sources within the facility of the flammable fuel–air mixture, and (3) evaluating the explosion itself by comparing the resulting overpressures of the exploding fuel–air cloud with the structural response of the facility and the observed near-field and far-field blast damage. These results, along with key witness statements and other analyses, provide valuable insight into the likely cause of this incident. Based on the results of our detailed analysis, lessons learned regarding the investigative procedure and methods for mitigating this and future explosions are discussed.     

Using computational fluid dynamics (CFD) for blast wave predictions

Explosions will, in most cases, generate blast waves. While simple models (e.g., Multi Energy Method) are useful for simple explosion geometries, most practical explosions are far from trivial and require detailed analyses. For a reliable estimate of the blast from a gas explosion it is necessary to know the explosion strength. The source explosion may not be symmetric; the pressure waves will be reflected or deflected when hitting objects, or even worse, the blast waves may propagate inside buildings or tunnels with a very low rate of decay. The use of computational fluid dynamics (CFD) explosion models for near and far field blast wave predictions has many advantages. These include more precise estimates of the energy and resulting pressure of the blast wave, as well as the ability to evaluate non-symmetrical effects caused by realistic geometries, gas cloud variations and ignition locations. This is essential when evaluating the likelihood of a given leak source as cause of an explosion or equally when evaluating the potential risk associated with a given leak source for a consequence analysis.In addition, unlike simple methods, CFD explosion models can also evaluate detailed dynamic effects in the near and far field, which include time dependent pressure loads as well as reflection and focusing of the blast waves. This is particularly valuable when assessing actual near-field blast damage during an explosion investigation or potential near-field damage during a risk analysis for a facility. One main challenge in applying CFD, however, is that these models require more information about the actual facility, including geometry details and process information. Collecting the necessary geometry and process data may be quite time consuming. This paper will show some blast prediction validation examples for the CFD model FLACS. It will also provide examples of how directional effects or interaction with objects can significantly influence the dynamics of the blast wave. Finally, the challenge of obtaining useful predictions with insufficient details regarding the geometry will also be addressed.     

不同填料负载微生物去除地表水氨氮的研究

氨氮浓度过高是黑臭水体难以治理的重要原因之一.本研究比较了经活性污泥驯化的菌株与市售硝化菌液两种不同菌剂分别在有机填料聚丙烯纤维和无机填料沸石上的挂膜特性,考察了不同挂膜填料性质、填料粒径、源水pH值等因素对氨氮去除效果的影响,并通过高通量测序解构不同填料生物膜的微生物群落差异,探究填料负载微生物的生物膜法去除氨氮的综...     

太湖流域河流入河污染负荷通量与入湖水质响应关系分析——以殷村港为例

以2020年1—12月太湖主要入湖河流殷村港水质自动监测站的监测数据及2020年太湖水位资料为依据,构建了一维水量水质耦合数学模型,建立了入河污染负荷通量与入湖控制断面水质响应关系,以入太湖控制断面殷村港站达Ⅲ类水质水为目标,模拟计算了殷村港站主要污染物入湖水质变化过程。结果表明,殷村港站高锰酸盐指数、氨氮、总磷等水质指标浓度最大值均明显的降低,其中氨氮浓度降低幅度相对较大,主要集中于3—6月;高锰酸盐指数和总磷日均入河污染负荷通量变化相对较小,氨氮日均入河污染负荷通量降低幅度相对较大;殷村港站高锰酸盐指数、氨氮、总磷等水质指标年入河污染负荷削减量分别为24.17,41.43,3.87 t。提出,基于核算出的削减量需进一步结合污染负荷通量过程和污染源溯源分析,确定不同水质指标下入河污染负荷控制方向,为科学合理规划殷村港主要污染物的入河污染负荷总量控制提供科学依据。     

金盆水库暴雨径流时空演变过程及水质评价

为探究西安金盆水库汛期暴雨径流沿程时空演变过程及库区水质响应,对汛期2019年8月初与9月中旬两场暴雨径流上游河道至库区各断面的水质指标进行持续原位监测,并在垂向上采用单因子污染指数法和综合污染指数法对库区进行水质评价.结果表明：汛期暴雨径流连续不同的来流条件会演变成不同的潜入情况,两次径流初期入流量小,水库潜流均经历全断面径流-底部潜流-间层流的过程,在末期,8月初径流库区间层流位置由初期的545~565 m扩大为535~580 m,9月中旬径流潜流位置由初期540~575 m的间层流演变成575 m以下的底部潜流;连续的入流使库区热分层结构削弱,溶解氧得到补充,同时大量颗粒态污染物汇入库区,营养盐在垂向上表现为中层、底层水体高于表层;单因子污染指数表明径流潜流处总磷和高锰酸盐指数值都有一定的增加,末期均超过地表水Ⅲ类水质标准;综合污染指数表明8月初径流中层水质处于中污染,底层则受厌氧与颗粒沉降的双重影响达到重污染,并且在径流一周后达到峰值,而9月中旬的575 m以下的潜流直接导致中层水体处于重污染,底层由于溶解氧的补充处于中污染;汛期通过泄洪洞的排放与分层取水可以有效地保障供水安全.