Sub-lethal toxic effects of deltamethrin on blood biochemical parameters of Japanese quail,Coturnix japonica

Feeding deltamethrin-contaminated grains to domestic poultry, such as quails may result in toxic effects in these birds. This study was done to investigate the effects of recommended doses of deltamethrin, sometimes used in grain storage silos, on Japanese quail (Coturnix japonica). Quails were fed grains contaminated with 0.25 and 0.50 mg deltamethrin per kg diet for 21 days and the effects on survival and blood biochemical parameters were studied. Plasma uric acid, creatinine levels, and creatinine phosphokinase activity in the blood were increased. Aspartate aminotransferase and lactate dehydrogenase activities and glucose levels significantly increased in birds treated with the high dose of deltamethrin. Alanine aminotransferase activity and albumin or cholesterol levels were not changed, and acetylcholinesterase and alkaline phosphatase activities, total protein and globulin in plasma were decreased. Administration of 0.25 mg/kg deltamethrin caused increased blood triglyceride levels, 0.50 mg/kg deltamethrin decreased triglyceride levels.     

一株产电菌嗜根考克氏菌(Kocuria rhizophila)的分离及其产电性能优化

本研究以天津泰达污水处理厂污泥浓缩间的污泥为接种物,启动并运行了微生物燃料电池(MFCs).从富集的阳极生物膜上分离得到了一株纯培养的微生物菌种,命名为P2-A-5.研究发现,菌株P2-A-5的16S rDNA序列与菌株Kocuria rhizophila DC2201具有100%的同源性,结合该菌的形态特征和生理生化实验,将其归属为嗜根考克氏菌(Kocuria rhizophila).通过化学剂处理、底物种类和浓度的优化,进一步提高其在微生物燃料电池中的产电性能.结果表明,菌株K.rhizophila P2-A-5经0.5 mg·L-1溶菌酶处理45 min后,接种到以2.0 g·L-1海藻糖为底物的阳极液中运行MFCs,其功率密度达到314.8 m W·m-2,比优化前(74.9 m W·m-2)提高了320.3%.这是首次对K.rhizophila种内微生物产电性能及其在微生物燃料电池中应用的报道,其成果对于丰富产电微生物的多样性,挖掘更多具有高电化学活性的微生物菌种,提高其产电性能具有重要的理论意义.     

阜新市空气监测点位优化的聚类分析

基于聚类分析法利用数据之间距离系数进行分类的原理,建立空气监测点位聚类分析优化模型,结合阜新市地形、气象及历史监测数据,进行阜新市空气监测点位布设优化应用,优化结果表明:距离相似水平取d=0.3时,环保局(B点)与人民公园(C点)监测点空气污染物浓度分布相似性最高,合并为1点,增设气象台监测点位作为清洁背景点,4个点位构成阜新市空气监测新网络;利用CALPUFF模型模拟对优化后监测点位进行相关性检验。检验结果表明:监测点位优化后SO2浓度与实测值相关系数为0.984,PM10相关系数为0.968,NO2相关系数为0.973。CALPUFF模型模拟值与实际监测值之间相关系数均大于0.75,表明优化后的阜新市空气监测点位具有客观环境代表性;监测点位优化与检验方法具有一定应用价值。     

中国污染物总量减排数据核算体系研究

"十一五"期间,中国对COD和SO2两种污染物开展总量减排工作,预期指标超额完成。"十一五"期间构建起来的总量减排数据核算体系为中央政府提供了相对准确的减排数据,是减排取得成功的基础。本文通过研究减排数据核算体系来对总量减排的成功进行制度性解释。本文采用文本分析和实地调研的方法,描述了中国减排数据核算体系的组织机构及其基本职责,整理出了自下而上的数据生成、流动机制和自上而下的数据核查、反馈机制,归纳出总量减排数据核算体系相较于传统环境统计的基本特征:一是设立了区域督查中心和各级总量控制部门等专门的组织机构;二是数据的双向流动机制,中央拥有对减排数据的审核权和最终确定权,并且会将正式确定后的数据逐级反馈给地方政府并应用于上级政府对下级政府的行政考核当中去;三是在数据核算中采用环境监测数据,并因此进行了全国范围的环境监测能力建设;四是减排工作全过程数据核算。这些新特征使得中国减排数据核算体系得以提升减排数据质量,对地方政府可能的违规行为进行约束;将减排绩效与地方政府考核相结合,通过政治激励促进地方政府开展减排工作;加强地方政府环境监管能力,保障减排工作的开展和完成。但现有数据核算体系仍然存在监测数据利用不到位而导致行政成本较高、减排量核算细则"一刀切"导致政策公平性缺失等亟需改进完善的问题。     

A new pre-assessment model for failure-probability-based-planning by neural network

At present, the prediction of failure probability is based on the operation period for laid pipelines, and the method is complicated and time-consuming. If the failure probability can be predicted in the planning stage, the risk assessment system of gas pipeline will be greatly improved. In this paper, the pre-laying assessment model is established to minimize risk of leakage due to piping layout. Firstly, Fault Tree Analysis (FTA) modeling is carried out for urban natural gas pipeline network. According to expert evaluation, 84 failure factors, which can be determined in the planning stage, are selected as the input variables of the training network. Then the FTA model is used to calculate the theoretical failure probability value, and the failure probability prediction model is determined through repeated trial calculation based on BP (Back Propagation Neural Network) and RBF (Radial Basis Function), for obtaining the optimal network parameter combination. Finally, two prediction models are used to calculate the same example. By comparing our pre-assessment model with the theoretical prediction consequences of the fault tree, the results show that the error of RBF prediction model can be close to 3%, which proves the validity and correctness of the method.     

Multi-objective transportation route optimization for hazardous materials based on GIS

Safety and security are of paramount importance, it is important to optimize and improve the routes of trucks that carry hazardous materials. In this study, we not only ensure the risk in the network, but also consider the transportation cost and the factors such as buildings and emergency facilities around the routes. The Geographic Information System (GIS) is used to quantify the factors on each section in the network. We present an epsilon constrained multi-objective mixed-integer linear programming optimization model to find the robust and stable transportation optimization solutions. At the end, we complete a case analysis of the proposed methodology to determine the motorway segments in Jiangsu province, China and test the above algorithm on the network, which has 144 nodes and 388 sections. The results we get show that the factors of buildings play a very important role in the model, and the multi-objective mixed-integer linear optimization model is reasonable and performs good quality.     

山区农村居民点时空格局演变特征及蚁群仿真优化——以重庆澄江镇为例

山地农村居民点系统因受自然因素及人类活动等多重扰动而处于深刻转型中,探索山区农村居民点时空格局特征及其优化策略,对于优化山区国土空间格局、推进山区国土空间综合治理与乡村振兴具有重要意义。基于构建理论框架,集成运用景观格局指数法、栅格权重叠加评价法、改进蚁群算法（ACO）等,以重庆澄江镇为例,探索山区农村居民点时空格局演变特征及优化过程,提出优化调控策略。结果表明：（1）研究区农村居民点空间格局演变特征呈现集中、靠拢的演化发展趋势,总体呈现匀质、线状、向心、院落四种分布形态;同时高程、坡度、水域、城镇、道路、基础设施等自然—经济社会因素均对山区农村居民点时空格局演化产生重要影响。（2）改进蚁群算法优化后,研究区农村居民点斑块面积（CA）减少10.07%,居民点斑块数量（NP）和密度（PD）分别减少83.12%和81.16%,平均斑块面积（MPS）增加了4.3倍,平均最近邻体距离（MENN）增加了42.82%。优化后69.1%的农村居民点斑块都集中在适宜区和较适宜区内,且重点向交通便利、公共设施完善、生产便利和中心村庄集中。优化后的农村居民点空间格局更加紧凑有序,土地集约节约效率更高。（3）基于仿真优化结果,综合考虑村庄振兴“产业—人口—土地”互动耦合机制,提出城郊融合、产业集聚、景村融合、搬迁撤并四类农村居民点格局优化方案,助推山区乡村振兴。（4）优化结果同时表明改进的蚁群算法非常适用于复杂环境条件下的较小尺度要素空间布局优化,能够为山区国土空间规划编制提供技术支撑。     

碳中和趋势下数学模拟在污水处理系统中的发展与综合应用

数学模拟技术在污水处理方面被广泛应用,为了系统总结相关技术,本文回顾了污水处理系统中数学模拟技术的发展历程;综述了活性污泥模型(ASM)与机器学习(ML)在水质预测及参数工况优化领域中的应用;重点探究了污水处理系统中温室气体排放模型,以及多目标优化模型在污水处理系统中温室气体排放(GHG)、出水质量(EQI)和运行成本(OCI)的权衡问题;归纳了数学模拟技术在实现污水厂能量自给与资源回收的应用发展.研究结果表明数学模拟技术能准确预测出水水质、快速优化工艺参数、权衡温室气体排放、出水水质与运行成本之间的关系、以及提高资源回收效率等.因此,数值模拟技术可有效指导污水处理工艺的运行优化以及管理,为污水处理行业减污降碳协同增效提供技术支撑.     

洞庭湖钉螺扩散与水情变化规律

洞庭湖区是目前我国钉螺分布范围最广且血吸虫病疫情最难防治的疫区。为揭示近年来洞庭湖区钉螺扩散与疫区水情变化的关系，从洪水对钉螺扩散及其孳生地环境淹没时间影响考虑，提出了表征疫区钉螺扩散及孳生地变化的水情指标，选用最能综合反映洪水年水情变化的汛期平均水位作为疫区水情变化的表征指标，并以洞庭湖为例定量分析了洞庭湖区钉螺扩散与以城陵矶站汛期平均水位为指示性指标的疫区水情的相关关系。其结果显示洞庭湖区钉螺面积与湖区汛期平均水位线性相关性显著，其相关关系式为y＝0.107 2x+14382(r=0822,p<005)，其中y为洞庭湖区钉螺分布面积，x为城陵矶站汛期平均水位。     

浅谈秦皇岛外语语言软环境的优化策略

秦皇岛作为著名的沿海旅游城市,外语语言环境作为旅游软环境的一个重要因素直接影响着整个旅游产业的综合竞争力。鉴于此,对秦皇岛市外语语言软环境进行调查摸底。调查结果表明,旅游景区标示语及城市公示语的翻译存在不同程度的问题,旅游从业人员总体素质不高,市民的外语能力普遍偏低。以调查结果为依托,从政府导向、行业把关、全民参与三方面提出了优化秦皇岛市旅游业外语语言软环境的建议。