基于内容分析法的土地利用总体规划目标偏好研究

土地利用总体规划需要统筹区域发展多元目标以增强对区域发展的指导力和约束性,因此全面了解我国土地利用总体规划的政策目标偏好,能为优化规划技术方法和改革规划管理体制提供政策参考。鉴于此,本文在分析我国土地利用总体规划多元目标及其关系的基础上,采用内容分析法基于全国土地利用总体规划纲要进行词频挖掘构建目标偏好测量维度及体系,进而对两轮省级土地利用总体规划文本进行目标偏好的定量测度,结果表明:(1)土地利用总体规划是多目标规划,通过内容分析法可以构建由经济、社会、生态三大目标构成的目标偏好测量体系;(2)从目标偏好排序来看,三大目标中社会目标始终是两轮土地利用总体规划的首要偏好目标,生态目标是土地利用总体规划的次要偏好目标,经济目标排在最后;同时相比上轮规划,本轮规划耕地保护子目标次序提前,土地整治子目标次序推后;(3)从目标偏好程度来看,社会目标的首位偏好程度有所下降,但其中耕地保护子目标的首位偏好度明显上升;生态目标和经济目标的首位偏好程度基本不变,总体而言本轮规划三大目标偏好程度的差异缩小。研究结果说明,我国土地利用总体规划始终坚持以耕地保护为核心的社会目标偏好,符合其是国土资源管理部门主导的部门规划的定位;虽然土地利用总体规划对经济、社会、生态三大目标的偏好程度差异缩小,但其若要在空间规划体系中发挥更大的作用,还需要通过优化规划技术和改革规划管理体制进一步均衡经济、社会、生态目标,以承担起统领全区域空间发展的要求。     

Coal facies characteristics and its control on methane content in South Yanchuan Block,Southeast Ordos Basin,China

The variability in depositional environments in ancient peat bog and coal facies characteristics was investigated with 29 coal samples from four coalbed methane wells in South Yanchuan Block, Southeast Ordos Basin, China. The control of methane content is described as coal facies parameters and the corresponding measurements of methane content. The results indicated that the depositional environment of ancient peat bog in South Yanchuan Block is primarily a lower delta plain, and a low tissue preservation index (TPI) and high gelification index (GI) are typical features of reservoir’s coal facies, reflecting a deep water depositional environment in ancient peat bog. Compared with the coal facies characteristics of the western area, the coal reservoir in the eastern area displays low GI and high ash content as a result of ancient peat bog’s proximity to sea and source area. Various lateral methane contents are influenced by burial depth, whereas the characteristics of coal facies have a strong control on methane content within the single well in vertical direction. The methane content increases with increase in GI and vitrinite to inertinite ratio (V:I), while there are indistinct relationships between TPI and transportation index with methane content. With high GI and longer distance to sea and source area, the methane content in the western area is higher than that of the eastern area. High desmocollinite content also has a negative influence on methane content.     

隔膜压滤机滤室最优空腔厚度

利用UG软件对隔膜压滤机滤室内流体进行三维建模,导入Gambit中进行网格划分及边界条件的设定,结合Fluent选用RNG k-ε湍流模型,采用多孔介质模型模拟隔膜压滤机滤室内固-液两相流分离,得到不同空腔厚度下滤室内流体的体积分数轮廓图、压强云图,得出滤饼含水率与空腔厚度大小的关系。实验结果表明,模拟和实验结果具有较好的一致性。在压滤机滤室空腔厚度为12 mm时,滤饼含水率为48%,每天污泥处理量为102 t,隔膜压滤机工作效率最高。     

Determination of specific gravity of municipal solid waste

This investigation was conducted to evaluate experimental determination of specific gravity (G_s) of municipal solid waste (MSW). Water pycnometry, typically used for testing soils was adapted for testing MSW using a large flask with 2000 mL capacity and specimens with 100–350 g masses. Tests were conducted on manufactured waste samples prepared using US waste constituent components; fresh wastes obtained prior and subsequent to compaction at an MSW landfill; and wastes obtained from various depths at the same landfill. Factors that influence specific gravity were investigated including waste particle size, compaction, and combined decomposition and stress history. The measured average specific gravities were 1.377 and 1.530 for as-prepared/uncompacted and compacted manufactured wastes, respectively; 1.072 and 1.258 for uncompacted and compacted fresh wastes, respectively; and 2.201 for old wastes. The average organic content and degree of decomposition were 77.2% and 0%, respectively for fresh wastes and 22.8% and 88.3%, respectively for old wastes. The G_s increased with decreasing particle size, compaction, and increasing waste age. For fresh wastes, reductions in particle size and compaction caused occluded intraparticle pores to be exposed and waste particles to be deformed resulting in increases in specific gravity. For old wastes, the high G_s resulted from loss of biodegradable components that have low G_s as well as potential access to previously occluded pores and deformation of particles due to both degradation processes and applied mechanical stresses. The G_s was correlated to the degree of decomposition with a linear relationship. Unlike soils, the G_s for MSW was not unique, but varied in a landfill environment due both to physical/mechanical processes and biochemical processes. Specific gravity testing is recommended to be conducted not only using representative waste composition, but also using representative compaction, stress, and degradation states.     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.     

Effect of Monosodium Methanarsonate Application on Cuticle Wax Content of Cocklebur and Cotton Plants

Leaf cuticle waxes were extracted from monosodium methanearsonate (MSMA)-resistant (R) and -susceptible (S) common cocklebur (Xanthium strumarium L.) and cotton (Gossypium hirsutum L.) plants at 0, 3, 5, and 7 days after treatment (DAT) following 1× and 2× MSMA applications. Wax constituents were analyzed by gas chromatography (GC) with flame ionization detection and compared to alkane and alcohol standards of carbon lengths varying from C21 to C30. Differences in waxes were calculated and reported as change per ng mm^2–1. Tricosane (C23) was found to increase following MSMA applications. All other alkanes decreased by 7 DAT, with some showing a linear effect over time in the R-cocklebur. Alcohol constituents were also observed to decrease by 7 DAT. Total arsenic in the extracted wax fraction was determined, with greatest quantities detected in the R-cocklebur. Wax changes are not believed to play a role in cotton tolerance, since changes in cuticle concentrations were minimal. Cocklebur resistance to MSMA is not due to cuticle constituents; the wax changes are a secondary effect in response to herbicide application.     

2,4-D mineralization in unsaturated and near-saturated surface soils of an undulating,cultivated Canadian prairie landscape

The herbicide 2,4-D [2,4-(dichlorophenoxy) acetic acid] is one of the most widely used pesticides in the Canadian prairies and is frequently detected as a ground and surface water contaminant. The objective of this paper was to determine the magnitude and extent of variation of 2,4-D mineralization in a cultivated undulating prairie landscape. Microcosm incubation experiments, using a 4 × 3 × 2 factorial experimental design (soil moisture, 4 levels: 60, 85, 110, 135% of field capacity; slope position, 3 levels: upper-, mid- and lower-slopes; soil depth, 2 levels: 0–5 and 5–15 cm), were used to assess 2,4-D mineralization. The first-order mineralization rate constant (k₁) varied from 0.03 to 0.22 day^{? 1}, while total 2,4-D mineralization varied from 31 to 52%. At near-saturated conditions (110 and 135% of field capacity), the onset of 2,4-D degradation was delayed in soil obtained from the upper- and mid-slopes but not in soils obtained from the lower-slope position. The k₁ and total 2,4-D mineralizationwas significantly influenced by all three factors and their interactions. The Freundlich sorption coefficient of 2,4-D ranged from 0.83 to 2.46 ug ^1–1/ng^{? 1} mL^1/n and was significantly influenced by variations in soil organic carbon content across slope positions. The infield variability of 2,4-D sorption and mineralization observed across slope positions in this undulating field was comparable in magnitude and extent to the regional variability of 2,4-D sorption and mineralization observed in surface soils across Manitoba. The large variability of 2,4-D mineralization and sorption at different slope positions in this cultivated undulating field suggests that landform segmentation models, which are used to delineate slope positions, are important considerations in pesticide fate studies.     

珠江三角洲蔬菜基地蔬菜中邻苯二甲酸酯的含量特征

邻苯二甲酸酯是一类重要的环境激素类污染物。本文以气相色谱/质谱(GC/MS)联用检测技术,对珠江三角洲地区典型蔬菜生产基地蔬菜中6种邻苯二甲酸酯化合物进行测试分析。结果发现:(1)珠江三角洲地区典型蔬菜生产基地的蔬菜样品中,多数样品检测出6种邻苯二甲酸酯,总含量为0.46～12.02mg/kg。(2)基地蔬菜中单个邻苯二甲酸酯化合物的种类和含量因蔬菜种类、品种、部位和生长环境等因素而异。(3)同种类蔬菜在不同基地或同一基地不同种类蔬菜中邻苯二甲酸酯的含量分布不同。(4)大部分蔬菜中以邻苯二甲酸正二丁酯(DnBP)和邻苯二甲酸双(2-乙基己基)酯(DEHP)为主。     

气相色谱法测定气田产出水中的甲醇含量

文章建立了使用气相色谱仪分析气田产出水中甲醇含量的方法。通过实验在设定不同分流比的情况下,能有效监测出气田产出水中不同浓度的甲醇含量,此方法灵敏度高,最低检出限为0.02%,测定气田产出水中甲醇加标回收率达到93%～94%。