国家重点生态功能区县域环境监测质量评价方法及应用示范

以国家重点生态功能区县域环境监测质量评价为目标,综合应用德尔菲法、层次分析法和模糊综合评价法,构建了国家重点生态功能区县域环境监测质量评价方法,并确定了评价因子、权重系数、计算方法。该方法评价指标共分为三层:第一层为目标层,即国家重点生态功能区县域环境监测质量;第二层为准则层,包括人员及资质、现场监测、实验室管理、报告编制及数据上报;第三层为方案层,包括人员操作、持证上岗、资质认定、人员培训、水质布点采样流转情况、空气自动站运维情况、现场质控实施情况、实验室环境条件、样品试剂的保存与管理、仪器检定与校准、实验室质量控制实施情况、数据填报软件运行情况、监测报告规范性等13个评价要素。经矩阵一致性检验确定了各评价要素的权重,将该权重与各要素得分运算后得到县域环境监测质量评价结果。在此基础上,选取广东、山西、陕西、四川和青海等5个省份的15个国家重点生态功能区县域作为典型区开展了实地调研,并应用评价体系对其进行了监测质量等级评价。结果表明,15个典型县域中,环境监测质量等级为优的县域占13.3%,一般、较差的县域分别占66.7%、20%。县域环境监测承担单位在资质、报告编制及数据上报方面表现较好,在现场监测、人员操作方面问题突出,在实验室管理方面有待提升。     

APPLICATION OF GREY MODEL AND ARTIFICIAL NEURAL NETWORKS TO FLOOD FORECASTING1

The main focus of this study was to compare the Grey model and several artificial neural network (ANN) models for real time flood forecasting, including a comparison of the models for various lead times (ranging from one to six hours). For hydrological applications, the Grey model has the advantage that it can easily be used in forecasting without assuming that forecast storm events exhibit the same stochastic characteristics as the storm events themselves. The major advantage of an ANN in rainfall‐runoff modeling is that there is no requirement for any prior assumptions regarding the processes involved. The Grey model and three ANN models were applied to a 2,509 km² watershed in the Republic of Korea to compare the results for real time flood forecasting with from one to six hours of lead time. The fifth‐order Grey model and the ANN models with the optimal network architectures, represented by ANN1004 (34 input nodes, 21 hidden nodes, and 1 output node), ANN1010 (40 input nodes, 25 hidden nodes, and 1 output node), and ANN1004T (14 input nodes, 21 hidden nodes, and 1 output node), were adopted to evaluate the effects of time lags and differences between area mean and point rainfall. The Grey model and the ANN models, which provided reliable forecasts with one to six hours of lead time, were calibrated and their datasets validated. The results showed that the Grey model and the ANN1010 model achieved the highest level of performance in forecasting runoff for one to six lead hours. The ANN model architectures (ANN1004 and ANN1010) that used point rainfall data performed better than the model that used mean rainfall data (ANN1004T) in the real time forecasting. The selected models thus appear to be a useful tool for flood forecasting in Korea.     

动物行为异常与地震灾害预警

地震前地壳中的应力变化会引起在一定区域范围内的地球物理场与地球化学场变化。动物有感受这种变化的能力,在地震发生前数天或数小时,动物可能会不安、抑郁或狂躁、迁徙或逃亡。动物的这种能力是在长期进化过程中形成的,动物在自我保护的同时有可能为人类提供地震预警信号。本文概述了动物感受地震灾害的机制,分析了从基因遗传水平上解释动物地震灾害避险能力的途径,阐述了找出可能作为灾害预警信号的特有动物异常反应的意义,讨论了建立试验性地震灾害动物行为异常预警系统的方法。     

Prediction of the solubility of zinc, copper, nickel, cadmium, and lead in metal-contaminated soils

Risk assessment of metal-contaminated soil depends on how precisely one can predict the solubility of metals in soils. Responses of plants and soil organisms to metal toxicity are explained by the variation in free metal ion activity in soil pore water. This study was undertaken to predict the free ion activity of Zn, Cu, Ni, Cd, and Pb in metal-contaminated soil as a function of pH, soil organic carbon, and extractable metal content. For this purpose, 21 surface soil samples (0–15 cm) were collected from agricultural lands of various locations receiving sewage sludge and industrial effluents for a long period. One soil sample was also collected from agricultural land which has been under intensive cropping and receiving irrigation through tube well water. Soil samples were varied widely in respect of physicochemical properties including metal content. Total Zn, Cu, Ni, Cd, and Pb in experimental soils were 2,015?±?3,373, 236?±?286, 103?±?192, 29.8?±?6.04, and 141?±?270 mg kg^?1, respectively. Free metal ion activity, viz., pZn²⁺, pCu²⁺, pNi²⁺, pCd²⁺, and pPb²⁺, as estimated by the Baker soil test was 9.37?±?1.89, 13.1?±?1.96, 12.8?±?1.89, 11.9?±?2.00, and 11.6?±?1.52, respectively. Free metal ion activity was predicted by pH-dependent Freundlich equation (solubility model) as a function of pH, organic carbon, and extractable metal. Results indicate that solubility model as a function of pH, Walkley–Black carbon (WBC), and ethylenediaminetetraacetic acid (EDTA)-extractable metals could explain the variation in pZn²⁺, pCu²⁺, pNi²⁺, pCd²⁺, and pPb²⁺ to the extent of 59, 56, 46, 52, and 51 %, respectively. Predictability of the solubility model based on pH, KMnO₄-oxidizable carbon, and diethylenetriaminepentaacetic acid-extractable or CaCl₂-extractable metal was inferior compared to that based on EDTA-extractable metals and WBC.     

Synthesis, characterization and experimental investigation of Cu-BTC as CO2 adsorbent from flue gas

Porous Cu-BTC material was synthesized by the solvothermal method. Powder X-ray diffraction (PXRD) was used to test the phase purity of the synthesized material and investigate its structural stability under the influence of flue gas components. The thermal stability of the material was determined through thermal gravimetric (TG) analysis. Scanning electron microscopy (SEM) was employed to study the microstructure of the material. Cu-BTC was demonstrated not only to have high CO₂ adsorption capacity but also good selectivity of CO₂ over N₂ by means of packed bed tests. The adsorption capacity of Cu-BTC for CO₂ was about 69 mL/g at 22°C. The influence of the main flue gas components on the CO₂ capacity of the material were discussed as well.     

冲击损伤对炸药装药冲击起爆特性的影响

目的研究冲击载荷下炸药内部损伤随时间变化特征对其冲击感度的影响规律。方法针对损伤状态随时间变化的两种典型情况,采用冲击波模拟加载的方式对炸药装药进行损伤实验。损伤的恢复时间很长时,在损伤后将试样放置7天后,再研究其损伤状态对其冲击起爆特性的影响;恢复时间很短时,通过控制冲击损伤实验和冲击感度实验之间的时间间隔模拟多层靶板撞击的实际情况。选择常用的两种奥克托金基炸药作为研究对象,通过冲击感度实验确定临界隔板厚度、设计损伤条件,然后进行两种不同损伤愈合时间后的冲击起爆特性实验,研究损伤状态对炸药装药冲击起爆特性的影响。结果在文中损伤条件下,放置7天后,炸药装药的冲击感度均显著下降,而类似于侵彻多层靶板条件的实验后,炸药装药的冲击感度显著增加。结论炸药装药损伤状态随时间的变化对炸药装药冲击起爆有完全不同的影响趋势,在相关的炸药装药安全性设计时,必须考虑与损伤时间状态相关的冲击起爆特性。     

pH对铝盐絮凝剂形态分布与混凝除氟性能的影响

对比研究了AlC13和3种不同碱化度的聚合氯化铝(PACl)在不同pH与投量下除氟效果,并对不同形态铝盐除氟机理进行了初步探讨.结果表明,pH对絮凝剂水解后铝形态分布及其除氟效果有重要影响.pH 5 ～6时,Al3+和Al2、Al3等低聚态铝为AlCl3主要形态,且AlCl3更易水解生成可将溶解态氟转化为颗粒态氟的Al(OH)3,从而较PACl具有更佳除氟效果.pH ＞7时,PACl较AlCl3具有更佳除氟效果,且增大PACl碱化度可促进氟的去除,这主要是由于具有较高Al13含量的PACl更容易与电负性F-结合所致;且絮凝剂混凝除氟絮体ζ电位越高,越利于F-在絮体表面吸附.     

探究城市污水处理项目的环境影响评价

水作为人类赖以生存的主要能源物质,随着社会综合水平的提高,各行业对水资源的需求越是急切。而现阶段城市中大量污水给环境带来很多不利影响,环保公司针对城市污水处理不断在技术上进行突破、完善,将智能化节能技术运用到城市污水处理中,使设备、资源得到充分利用,为人们用水条件带来更加充沛、丰富的保障与支持。为有效处理城市污水,争取在城市污水处理发挥更大作用,带动城市环境可持续发展。     

污泥干化使重金属形态变向稳定的原因分析

在模拟条件下对不同类型污泥进行连续干化,研究了不同干化温度下污泥重金属存在形态的分布特征.同时,通过测定污泥含水率、密度、温度和电导率等物性参数,分析了污泥干化过程重金属形态向稳定态转变的原因.结果表明,污泥中重金属存在形态的分布特征因污泥类型及来源不同而具有明显的差异;污泥干化过程可以使酸溶态、可还原态和可氧化态重金属向残渣态重金属转变;干化过程中污泥物性的改变和部分有机质和硫化物的分解是引起污泥重金属存在形态发生变化的主要原因.研究结果对于深入了解污泥中重金属的环境地球化学行为具有重要的理论意义,同时还可为污泥无害化、减量化和资源化的最终处理提供科学依据.