Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm

In this paper, wind energy potential of four locations in Xinjiang region is assessed. The Weibull distribution as well as the Logistic and the Lognormal distributions are applied to describe the distributions of the wind speed at different heights. In determining the parameters in the Weibull distribution, four intelligent parameter optimization approaches including the differential evolutionary, the particle swarm optimization, and two other approaches derived from these two algorithms and combined advantages of these two approaches are employed. Then the optimal distribution is chosen through the Chi-square error (CSE), the Kolmogorov–Smirnov test error (KSE), and the root mean square error (RMSE) criteria. However, it is found that the variation range of some criteria is quite large, thus these criteria are analyzed and evaluated both from the anomalous values and by the K-means clustering method. Anomaly observation results have shown that the CSE is the first one should be considered to be eliminated from the consequent optimal distribution function selection. This idea is further confirmed by the K-means clustering algorithm, by which the CSE is clustered into a different group with KSE and RMSE. Therefore, only the reserved two error evaluation criteria are utilized to evaluate the wind power potential.     

化工园区突发环境事件应急预案编制的研究

我国的化工园区为促进经济和社会发展做出了重要贡献。由于化工园区内危险化学品种类多、有毒有害物质数量大、环境风险等级高,存在着发生重特大事故的现实性和可能性。但是,我国至今尚未制定化工园区突发环境事件应急预案编制技术规范,相关研究也未见报道。在当前化工园区安全生产事件高发并严重影响周边环境的情况下,研究化工园区突发环境事件应急预案编制方法,提高应对安全生产事故以及次生突发环境事件的能力尤为重要。通过分析化工园区环境风险物质、环境风险工艺和环境风险受体三个方面的环境风险的特性,初步拟定了化工园区突发环境事件应急预案编制调查评估、建章立制、预案编写三个阶段的技术路线,明确了开展环境风险评估、加强应急能力建设、完善环境风险防范措施和环境应急处置措施的四项编制要点,在此基础上提出了化工园区突发环境事件应急预案由综合预案、现场处置预案、专项预案、环境风险评估报告、环境应急资源调查报告六部分组成的结构框架。     

某典型化工污染场地土壤修复方案研究

以典型化工污染场地为研究对象,构建适合该场地的修复技术筛选体系,筛选最佳修复方法。根据特征污染筛选结果、场地修复目标及业主需求等因素,通过室内模拟实验、施工现场微调等方法,确定污染场地最优修复方案。结果表明,作为Cd、苯并[a]芘复合污染场地,根据筛选体系结合Topsis法进行评估,确定场地修复技术为异位化学淋洗。运用响应曲面法,采用BoxBehnken设计多因素实验进行室内模拟,确定最佳修复条件。采用0.6mol/L柠檬酸与20g/Lβ-环糊精进行复配的淋洗剂,在pH=3.0、淋洗温度35.00℃、液固比(淋洗剂与土壤的体积质量比)6.00mL/g、搅拌强度320.00r/min下,淋洗4次,每次淋洗3.4h,对某化工污染场地进行修复,修复后土壤中Cd、苯并[a]芘的去除量分别为69.88、39.20mg/kg,去除率分别达80.14%、70.50%,达到预期修复目标。     

Ce-Sn-W-O_x催化剂的配伍优化及脱硝影响因素

采用共混热解法制备系列Ce-Sn-W-Ox复合氧化物,用于NH3选择性催化还原NO。通过正交实验优化CeSn-W-Ox配方,采用环境扫描电镜(ESEM)、X-射线衍射仪(XRD)等表征分析催化剂的微观形貌和固相结构,确立Ce-Sn-WOx最佳配比及结构形貌。结果表明,以粒度为5~8 mm的堇青石瓷片担载分散Ce-Sn-W-Ox,进行NH3-SCR脱除NO,当Ce/Sn/W元素摩尔比为1∶0.8∶0.6时,Ce Sn0.8W0.6Ox/堇青石NH3-SCR脱除NO效果最好。当空速为7 200 h-1,催化剂在252~426℃内脱除NO效率均大于94%。重点考察了反应空速(GHSV)、水蒸气(H2O)、SO2等对Ce Sn0.8W0.6Ox/堇青石NH3-SCR脱除NO活性的影响。研究表明,空速低于10 000 h-1时,催化剂脱硝活性受空速影响小;单独通入5%H2O对催化剂脱硝活性基本没有影响;单独通入429 mg/m3SO2导致催化剂活性略有降低;同时通入429 mg/m3SO2和5%H2O,催化剂脱硝活性下降至85.33%,除去SO2和H2O后,催化剂活性又能明显回升。     

Modelling Phosphorus Retention in Lakes and Reservoirs

Steady-state models for the prediction of P retention coefficient (R) in lakes were evaluated using data from 93 natural lakes and 119 reservoirs situated in the temperate zone. Most of the already existing models predicted R relatively successfully in lakes while it was seriously under-estimated in reservoirs. A statistical analysis indicated the main causes of differences in R between lakes and reservoirs: (a) distinct relationships between P sedimentation coefficient, depth, and water residence time; (b) existence of significant inflow–outflow P concentration gradients in reservoirs. Two new models of different complexity were developed for estimating R in reservoirs: , where τ is water residence time (year), was derived from the Vollenweider/Larsen and Mercier model by adding a calibrated parameter accounting for spatial P non-homogeneity in the water body, and is applicable for reservoirs but not lakes, and , where [P_in] is volume-weighted P concentration in all inputs to the water body (μg l⁻¹), was obtained by re-calibrating the OECD general equation, and is generally applicable for both lakes and reservoirs. These optimised models yield unbiased estimates over a large range of reservoir types.     

Creation of the natural reserve of La Crau: implications for the creation and management of protected areas

Grasslands were once widespread and species-rich ecosystems. They have drastically decreased throughout the world, largely due to changes in land-uses. Remnant grasslands are often highly degraded and disconnected and require active conservation. In order for grasslands to be maintained worldwide, protected areas need to be created. While adequately creating and managing protected areas has proven difficult, this can be improved by following a three-point guideline: (1) consider many ecological groups (birds, insects, plants); (2) use conservation biology knowledge; (3) seek agreements with concerned parties by comprehending elements of economy, politics and sociology. Based on the example of La Crau, a steppe area in South-eastern France, this review aims at (i) illustrating that this guideline can facilitate creating and managing protected areas and (ii) proposing improvement to the guideline while keeping it simple. In La Crau, the need for conservation was first acknowledged in 1975. Between 1983, when a request for a protection decree was made and 1990, when the first concrete protection measure was taken, 20% of the steppe disappeared. It took another 8 years to reach a concerted management plan in 1998. The review shows how using ecological guidelines would have helped better and faster protection of the steppe. Improvements to the guideline drawn from the La Crau experience include: the protection of some traditional practices; the protection of some degraded habitats that can substitute for habitats that no longer exist; the restoration of degraded habitats that do not qualify for protection; and the flexibility of the management plan.     

城市有机垃圾间歇厌氧消化pH控制动力学研究

对厌氧消化系统的物料及电离平衡进行分析,利用底物降解和微生物生长动力学建立城市有机垃圾间歇厌氧消化pH值控制模型,并研制开发了间歇厌氧消化过程pH值与产气量最优化计算机软件.运用该模型可预测不同厌氧消化过程的最佳pH值,从而通过控制厌氧系统的pH值使系统产气量达到最大,通过2组对比实验验证模型的有效性.结果表明,在相同的实验条件下厌氧系统的pH控制在最佳值时系统产气较未对pH值控制时稳定,且总产气量平均提高20%左右.     

生物表面活性剂产生菌犁头霉菌(Absidia orchidis)的筛选及发酵条件优化

采用植物油为唯一碳源,设计选择培养基,从饭店下水道污泥中筛选出生物表面活性剂产生菌.结果分离到12株菌,其中一株能使发酵液的表面张力值从68 mN·m-1降低到34.5 mN·m-1,具有开发潜力,被选出作进一步的研究.该菌株经鉴定为犁头霉菌(Absidia orchidis).通过正交试验对犁头霉菌的培养条件进行优化,其优化培养条件为:植物油3.6 g·L-1,KH2PO412.1 g·L-1,Na2HPO45 g·L-1,(NH4)2SO4 1 g·L-1,NaNO32 g·L-1,酵母浸膏0.1 g·L-1,MgSO4·7H2O 0.15 g·L-1,NaCl 5 g·L-1,CaCl2 0.1 g·L-1,EDTA 1 g·L-1,KI 0.83μg·L-1,H3PO4 0.01μg·L-1,CoCl2·6H2O 0.048μg·L-1,MnSO4·H2O 0.312μg·L-1,Na2 MoO4·2H2O 0.048μg·L-1,ZnCl2 0.287μg·L-1,CuSO4·5H2O 0.125μg·L-1,初始pH值8,接种量6%.发酵70h时可获得生物表面活性剂的最大收获量,此时发酵液中生物表面活性剂的相对浓度达402倍.     

考虑不同合作模式和多方奖惩的绿色信贷风险优化控制研究

绿色信贷风险的优化控制,有利于推动绿色信贷的稳定、可持续发展,实现环境效益、经济效益和社会效益的共赢。本研究将政府部门、环保部门、金融机构和企业的行为纳入同一个理论体系中,充分考虑影响参与主体最优努力水平和绿色信贷风险最优轨迹的环境因素、经济因素和社会因素。在此基础上,构建不同合作模式下的绿色信贷风险优化控制模型,分析不同情境下参与主体的努力水平,比较绿色信贷风险的最优轨迹,找出绿色信贷风险优化控制存在的问题及原因。研究结果表明：第一,四方合作模式对绿色信贷风险的优化控制具有明显的优势。第二,政府的参与能够有效带动其余合作者的积极性。第三,金融机构和企业之间,存在明显的利益共存和投入互动关系。第四,补贴和惩罚措施在合作过程中能够产生激励和约束作用,但在非合作模式下发挥的作用比较有限。第五,参与主体的协同水平越高,越有利于绿色信贷风险的优化控制。因此,需要灵活运用行政、经济或法律等多种干预手段,并对补贴用途进行考评和增强舆论监督,防止金融机构和企业将绿色补贴挪作他用。同时,建立符合国内绿色信贷发展特点的风险标准,统一绿色信贷风险的评判和管控依据。     

Location selection of emergency supplies repositories for emergency logistics management: A variable weighted algorithm

With the development of the city, the number of establishments that are proposed or under construction is increasing year by year, and if they are industries that handle flammable, explosive, toxic, harmful, and dangerous substances, the public safety will face great threats, which will bring great challenges to emergency rescue work. Therefore, providing reasonable solutions to the problem of location selection of emergency supplies repositories are necessary for improving the emergency response efficiency in chemical industrial parks. A mathematical model for location selection of emergency supplies repositories in emergency logistics management are presented considering more actual factors. The optimization objectives of the model are to minimize total transport length and cost. And then a Variable Weighted Algorithm is designed to solve the model, where an auxiliary function was constructed with different methods of building weighting factors based on the theory and method of solving multi-objective optimization problems in operational research. Simulation results show the effectiveness and feasibility of the models and algorithms presented in this paper.