基于DEA模型的区域生态环境建设绩效评价——以江苏省苏州市为例

选取生态系统服务价值、生态绿当量、人均生态足迹赤字和环境质量综合指数作为区域生态环境质量表征指标,借助DEA模型对区域生态环境建设过程中劳动力投入、资金投入、技术投入和资源投入的绩效进行评价,结果表明:(1)苏州市10年来生态环境建设总体而言绩效良好,DEA有效年份占30%,弱有效年份占20%,无效年份占50%,并且无效年份的效率指数都在0.97以上;(2)导致苏州市最近5年生态环境建设DEA无效的原因主要是乔资源投入不足,生态用地成为区域生态环境建设刚性约束;(3)通过调整生态环境建设要素投入比例,各种生态环境指标值都将有所提高,区域生态环境质量也将显著改善;(4)地区生态环境建设绩效下降还受地区人口数量增加、人均生态占用增长、生态环境累积效应影响.最后从促进区域社会经济与生态环境协调发展的角度提出相关建议.     

国内外土地利用区划研究的回顾与展望

土地利用区划是从区域角度观察和研究地域综合体,探讨土地利用的发展历史、现状特点、变化过程及趋势,从最大限度发挥土地生产潜力及改善土地生态系统的结构与功能出发,对土地的合理利用方向,包括确定国民经济各部门用地的合理分配、结构和布局形式等,在地域上进行分区。通过简要回顾国内外土地利用区划研究的发展历程,总结了土地利用区划研究的理论方法特点及存在的问题,并在此基础上探讨今后土地利用区划研究的重点及发展方向：从自然要素向自然与人文要素有机结合方向转变;从大空间尺度向多空间尺度方向转变;从传统的区划方法向综合集成的新技术手段转变;从静态的区划研究向多要素、多过程耦合的动态区划研究方向转变。     

基于单元格网的STREAM分布式水文模型及其应用——以太湖上游西苕溪流域为例

STREAM模型是基于单元格网的分布式水文模型,可以利用易于获取的地理信息,揭示气候变化及下垫面改变对水循环的复杂影响.选择太湖上游西苕溪流域为研究区,采用1979～1999年的26个降水站实测序列和不同时段的土地利用数据,应用GIS流域分析方法与空间插值技术建立300 m的流域格网信息,并通过BLAISE脚本语言实现STREAM模型与GIS的集成,应用1979～1999年水文站实测序列对模型进行率定和验证.结果显示月径流量和年径流量模拟与实测值吻合良好,1980～1988年模型率定期,月径流量的确定性系数为0.78,年径流量的确定性系数为0.86,各年平均相对误差仅为6%;1989～1999年模型验证期,月径流量的确定性系数为0.75,年径流量的确定性系数为0.82,各年平均相对误差为9.5%.研究证实模型有较强的预测能力,在流域管理与决策中具有较好的应用前景.     

河流水污染损失补偿模型研究

我国水污染问题的突出表现之一是省际间、地区间水污染纠纷接连不断, 严重影响经济发展和社会稳定。在流域不同主体之间建立水污染补偿机制,可以把水污染造成的环境外部损失内部化,从而促使污染者在治污成本和经济补偿之间进行权衡,促进水污染治理措施的有效执行和水污染纠纷的解决。在水污染经济损失评估的基础上,以河流为研究对象,采用水环境数学模型的方法描述了污染物排放的空间影响关系,进而把超量排放的环境影响与经济影响联系起来,对模型的基本特征、处理方法和应用范围进行了讨论,并且以太湖流域范围内的京杭运河为例进行实证研究,得到了河流水污染损失补偿的数学模型。     

青岛近海沉积物中多环芳烃、多氯联苯和有机氯农药的含量和分布特征

利用气相色谱/质谱方法对青岛近海表层沉积物中多环芳烃(PAHs)、多氯联苯(PCBs)和有机氯农药(OCPs)进行了测定,并分析了PAHs、PCBs和OCPs的分布特征.结果表明,PAHs、PCBs和OCPs的均值分别为684.80、6.87和13.52ng·g-1,含量变化均呈近岸高、远岸低的分布规律.燃料的高温燃烧排放对本研究海域沉积物中PAHs有较大贡献;PCBs主要来源于工业及生活排放,但已受到控制;沉积物中HCHs存在工业和农业双重污染源输入,DDT主要是由于历史上使用农药造成,且在表层沉积物中受到好氧微生物降解.与国内外同类研究结果相比,调查海域沉积物中PAHs、PCBs和OCPs的污染程度及生态风险均处于较低水平.     

A~2/O工艺厌氧池有机物降解动力学模型对比研究

试验考察了东阿县污水处理厂一期A2/O工艺厌氧池去除有机污染物效能,当进水ρ(COD)为548.3 mg/L时,厌氧池平均去除率达78.7%。同时探讨了几种常见数学模型模拟厌氧池去除有机物规律情况,根据实际工程监测数据确定有机底物降解动力学常数,得出Grau模型、Stover-kincannon模型和改进的Monod模型较适合模拟厌氧池去除有机物的规律,并对模型进行了检验。     

A numerical study of summer ozone concentration over the Kanto area of Japan using the MM5/CMAQ model

We assessed the ability of the MM5/CMAQ model to predict ozone (O3) air quality over the Kanto area and to investigate the factors that a ect simulation of O3. We find that the coupled MM5/CMAQ model is a useful tool for the analysis of urban environmental problems. The simulation results were compared with observational data and were found to accurately replicate most of the important observed characteristics. The initial and boundary conditions were found to have a significant e ect on simulated O3 concentrations. The results show that on hot and dry days with high O3 concentration, the CMAQ model provides a poor simulation of O3 maxima when using initial and boundary conditions derived from the CMAQ default data. The simulation of peak O3 concentrations is improved with the JCAP initial and boundary conditions. On mild days, the default CMAQ initial and boundary conditions provide a more realistic simulation. Meteorological conditions also have a strong impact on the simulated distribution and accumulation of O3 concentrations in this area. Low O3 concentrations are simulated during mild weather conditions, and high concentrations are predicted during hot and dry weather. By investigating the e ects of di erent meteorological conditions on each model process, we find that advection and di usion di er the most between the two meteorological regimes. Thus, di erences in the winds that govern the transport of O3 and its precursors are likely the most important meteorological drivers of ozone concentration over the central Kanto area.     

TiO2 nanotubes as solid-phase extraction adsorbent for the determination of polycyclic aromatic hydrocarbons in environmental water samples

An analytical method based on TiO2 nanotubes solid-phase extraction (SPE) combined with gas chromatography (GC) was established for the analysis of seven polycyclic aromatic hydrocarbons (PAHs): acenaphtylene, acenaphthene, anthracene, fluorene, phenanthrene, fluoranthene and pyrene. Factors a ecting the extraction e ciency including the eluent type and its volume, adsorbent amount, sample volume, sample pH and sample flow rate were optimized. The characteristic data of analytical performance were determined to investigate the sensitivity and precision of the method. Under the optimized extraction conditions, the method showed good linearity in the range of 0.01–0.8 g/mL, repeatability of the extraction (RSD were between 6.7% and 13.5%, n = 5) and satisfactory detection limits (0.017–0.059 ng/mL). The developed method was successfully applied to the analysis of surface water (tap, river and dam) samples. The recoveries of PAHs spiked in environmental water samples ranged from 90% to 100%. All the results indicated the potential application of titanate nanotubes as solid-phase extraction adsorbents to pre-treat water samples.     

Modeling assessment for ammonium nitrogen recovery from wastewater by chemical precipitation

Chemical precipitation to form magnesium ammonium phosphate (MAP) is an effective technology for recovering ammonium nitrogen (NH4 +-N). In the present research, we investigated the thermodynamic modeling of the PHREEQC program for NH4 +-N recovery to evaluate the effect of reaction factors on MAP precipitation. The case study of NH4 +-N recovery from coking wastewater was conducted to provide a comparison. Response surface methodology (RSM) was applied to assist in understanding the relative significance of reaction factors and the interactive effects of solution conditions. Thermodynamic modeling indicated that the saturation index (SI) of MAP followed a polynomial function of pH. The SI of MAP increased logarithmically with the Mg2+/NH4 + molar ratio (Mg/N) and the initial NH4 +-N concentration (CN), respectively, while it decreased with an increase in Ca2+/NH4 + and CO3 2??/NH4 + molar ratios (Ca/N and CO3 2??/N), respectively. The trends for NH4 +-N removal at different pH and Mg/N levels were similar to the thermodynamic modeling predictions. The RSM analysis indicated that the factors including pH, Mg/N, CN, Ca/N, (Mg/N) (CO3 2??/N), (pH)2, (Mg/N)2, and (CN)2 were significant. Response surface plots were useful for understanding the interaction effects on NH4 +-N recovery.     

Sedimentary record of polycyclic aromatic hydrocarbons in Lake Erhai, Southwest China

The temporal distribution of polycyclic aromatic hydrocarbons (PAHs) was investigated in a sediment core from Lake Erhal in Southwest China using gas-chromatography/mass spectrometry (GC/MS) method.The total organic carbon (TOC) normalized total PAHs concentrations (sum of US Environmental Protection Agency proposed 16 priority PAHs) ranged from 31.9 to 269 μg/g dry weight (dw),and were characterized by a slowly increasing stage in the deeper sediments and a sharp increasing stage in the upper sediments.The PAHs in the sediments were dominated by low molecular weight (LMW) PAHs,suggesting that the primary source of PAHs was low- and moderate temperature combustion processes.However,both the significant increase in high molecular weight (HMW) PAHs in the upper sediments and the vertical profile of diagnostic ratios pointed out a change in the sources of PAHs from low-temperature combustion to high-temperature combustion.The ecotoxicological assessment based on consensus-based sediment quality guidelines implied that potential adverse biological impacts were possible for benzo(ghi)perylenelene and most LMW PAHs.In addition,the total BaP equivalent quotient of seven carcinogenic polycyclic aromatic hydrocarbons (BaA,CHr,BbF,BkF,BaP,DBA and INP) was 106.1 ng/g,according to the toxic equivalency factors.Although there was no great biological impact associated with the HMW PAlls,great attention should be paid to these PAH components based on their rapid increase in the upper sediments.