生物反应器填埋场产甲烷规律的模拟研究

生物反应器填埋场是一种新型的垃圾卫生填埋场,可以加速填埋场的稳定及甲烷的产生.通过模拟试验探讨了生物反应器填埋场在不同操作条件下的产甲烷情况及COD、pH值的变化趋势.试验证明较高的回灌频率有助于垃圾降解、产甲烷速率的升高及渗滤液中COD浓度的降低;污泥接种起缓冲作用,使垃圾的降解及产气速率更趋向平稳;甲烷的产生与COD的降低是同步进行的,因此可以通过COD的变化趋势来判断产甲烷情况.研究建立了反映垃圾含水率影响填埋场产甲烷的数学模型,该模型具有简便、直观、准确等优点.     

论流域水质与水量集成规划

“水量”与“水质”是流域大系统的两个特征,水环境研究偏重于水质,而水资源研究则更偏重水量,但是“质”与“量”是不能截然分开的,它们之间既相互关联,又互影响,相互制约,构成矛盾的统一体,基于这一出发点,本文从规划方法学的历史发展与流域水环境大系统的结构分析入手,系统阐述了提出流域水质与水量集成规划基本概念,目标及其策略与技术路线。     

矿业权市场的交易机制及运作模型

运用经济学和系统论的观点对矿业权市场的信息形成与传递、交易客体的价格形成的有关过程与机制进行了探讨,提出了矿业权市场的信息传递模式和探矿权、采矿权的价值构成模式,并对矿业权市场的运作模式进行了研究.     

A framework to assess regional environmental impacts of dedicated energy crop production

Numerous studies have evaluated air quality and greenhouse gas mitigation benefits of biomass energy systems, but the potential environmental impacts associated with large-scale changes in land-use patterns needed to produce energy crops have not been quantified. This paper presents a framework to assess the potential soil, water, and biodiversity impacts that may result from the large-scale production of dedicated energy crops. The framework incorporates producer economic decision models with environmental models to assess changes in land use patterns and to quantify the consequent environmental impacts. Economic and policy issues that will affect decisions to produce energy crops are discussed. The framework is used to evaluate erosion and chemical runoff in two Tennessee regions. The analysis shows that production of dedicated energy crops in place of conventional crops will significantly reduce erosion and chemical runoff.     

Experimental study and modeling of the transfer of zinc in a low reactive sand column in the presence of acetate

Nowadays, it is necessary to understand and identify the reactions governing the fate of heavy metals introduced into the environment with low complexing organic compounds, particularly when they are transferred through soils in urban areas. In this work the concomitant influence of pH and acetate on the fate of zinc on siliceous sand was studied in batch and non-saturated column experiments. Total zinc concentrations varied between 2 and 20 mg/l, and total acetate concentrations were fixed at 22, 72, 132, and 223 mM to obtain solution pHs of 4, 5, 6 and 7, respectively. Natural sand (diameter, 0.3-2 mm), mainly constituted of silica, was used. In batch adsorption experiments, zinc adsorption is insignificant at pH 4, low and linear at pH 5, and increasingly nonlinear, of the Langmuir type, at pH 6 and 7 indicating near-saturation conditions of surface sites at these high pH values. In column experiments, Zn retardation increases and the maximum outlet concentration of Zn decreases with rising pH and acetate concentrations. Previous column tracer experiments revealed the occurrence of regionalized water transport in the column. Modeling these data was based on a non-electrostatic approach. Batch and column data modeling was based on the PHREEQC code that allows concomitant resolution of chemical speciation and regionalized water transport. The speciation calculation indicates that the ZnAcetate+ species is the dominant Zn species in the solutions used. Batch experimental curves are correctly modeled assuming the formation of the three surface species triple bond SiOZn+, triple bond SiOH-Zn Acetate+ and triple bond SiO-Zn(Acetate)2-. The column data could be adequately modeled assuming a two-region water transport and the formation of the same three species with the same thermodynamic constants determined in the batch experiments. The hypothesis of the modeling leads to a slight overestimation of the quantities of zinc eluted (10%) at pH 6 and 7, mostly in the desorption phase. These results show that the methodology used facilitates the correct modeling of both batch and transport experiments and formulation of the hypothesis on the interactions between the low reactive sand and a complex solution.     

北部湾南流江流域土地覆盖及生物多样性模拟

以北部湾独流入海河流南流江流域为研究对象,基于研究区2000年和2015年遥感数据解译的土地利用数据以及社会经济等数据,采用CLUE-S模型对未来2030年生态保护情景、自然增长情景以及粮食安全情景的土地利用格局进行了模拟预测,在此基础上采用InVEST模型对流域过去和未来不同情景的生物多样性进行了评估,探讨了流域生物多样性的生境质量和生境退化程度.结果表明：2000~2015年南流江流域建设用地、园地、水域和未利用地呈现出增加趋势,其中建设用地的增幅最大,而耕地和林地减幅最大.流域土地系统中共存在着34种土地网络转移流关系,上游存在24种,中游20种,下游28种,耕地与建设用地、耕地与林地以及林地与园地之间的转换占到流域总土地利用变化的70.74%.CLUE-S模型模拟未来土地利用的Kappa系数达到0.86,表明模型模拟未来情景的土地利用精度满足要求.2000年、2015年、2030年生态保护情景、2030年自然增长情景以及2030年粮食安全情景流域生境质量总得分和平均得分分别为866630,900357,921055,876231,865370和0.7457,0.7747,0.7925,0.7539,0.7466.2030年3种情景的中上游和下游地区生物多样性都呈现出不同程度的改善趋势,而中游地区则表现出退化趋势.     

Study of prediction for groundwater contamination in wastewater land treatment system

This paper uses a prediction model of groundwater pollution based on the experiments in the laboratory and in field .The model, which was tested and calibrated by the field observated data ,satisfactorily simulated the field conditions in land treatment system of wastewater . Particularly , the model can provide the reliable pollution prediction of heavy metals , organisms and nitrogen . The model was used to predict the groundwater pollution caused by the land treatment system in the region of North China . The calibration of the model showed that correlation coefficients between the tested and predictive data of Cr6+. As3+, organism and NH4+ could reach 0.990, which proved that the model possessed the realistic instructive significance for design and use of wastewater land treatment systems .     

基于LUCC的艾比湖区域生态风险评价及预测研究

以新疆内陆艾比湖流域典型区域为研究区,基于RS和GIS技术分析1998、2013年土地利用变化,尝试用CA-Markov模型预测2028年土地利用/覆盖变化.借助Fragstats3.4软件,基于土地利用/覆盖变化构建景观生态风险评价模型,分析1998~2028年景观生态风险的时空分异特征.结果表明：（1）1998~2013年,研究区土地类型面积变化明显.耕地面积增加量最大,增加的面积为152139hm²,而未利用地面积减少量最大,减少的面积为67605hm².2013~2028年,耕地和裸露的河床及盐渍地的面积增加明显,增加的面积分别为30730hm²,12427hm²,而未利用地和水体的面积分别从954376hm²和44889hm²,减至921079hm²和37157hm².（2）1998~2028年,研究区生态风险等级空间分布差异明显.高生态风险区面积变化较为显著,其面积分别约占总面积的36.6%,7.3%,23.7%.1998~2028年,全局Moran's Ⅰ值分别为0.436962,0.442202,0.506622,表现为一定程度的正相关.（3）1998~2028年,耕地分布在低,较低生态风险的比重上升,所占百分比分别为58.46%,78.58%,79.9%.林、草地类型的各生态风险等级的所占的比重的波动较大.     

间甲酚对杂色云芝(Coriolus versicolor)生长及产漆酶能力的影响

分别进行了间甲酚浓度为0mg·L-1,166 7mg·L-1和275mg·L-13种情况下的杂色云芝实罐发酵试验,定时测定了3种情况下菌丝干重(DC)、淀粉消耗、间甲酚降解和酶活性随时间的变化.在无间甲酚时,菌丝干重在188h达到最大值2600mg·L-1;在120h开始出现酶活,228h达到最大值82 15U·mL-1后,呈现一个稳定态势,不因衰亡期的到来而有较大幅度的变化.在加入166 7mg·L-1间甲酚时,菌丝干重在204h方达到最大值(995mg·L-1),且较无间甲酚时低得多(降低61 73%);在180h开始出现酶活,204h达到最大值(118 36U·L-1),并高出前者44 1%,此后也呈现一个稳定的态势.在加入间甲酚浓度为275mg·L-1时,菌丝干重在372h方达到最大值(320mg·L-1),但仅是无间甲酚的12 31%,间甲酚浓度为166 7mg·L-1时的32 16%;在264h开始出现酶活,396h达到最大值(112 8U·L-1),其酶活水平与间甲酚为166 7mg·L-1情况下的水平相当,这说明间甲酚可以诱导杂色云芝达到较高的产酶水平.研究发现在上述条件下杂色云芝生长的时间统计模型3种情况下的动力学模型可以用Logistic方程来模拟,即间甲酚的加入,并不改变其生长动力学模型;杂色云芝产漆酶的动力学模型在3种情况下可以分别用一级反应动力学方程描述;3种情况下,淀粉消耗均可以用Logistic模型来描述,从3个方     

建筑工程生产事故死亡人数时间序列分析

为研究建筑工程安全生产事故死亡人数的变化规律,采用时间序列分析方法,分析了建筑安全事故死亡人数时间序列上的趋势性规律,通过数据预处理和模型的识别与检验,最终建立了安全事故死亡人数预测模型。对全国2005—2014年建筑工程安全生产事故造成的死亡人数进行了分析和预测。结果表明:ARIMA模型各年预测值与实际值误差率为0.393,相比灰色模型和BP神经网络模型误差率最小。总体上说,ARIMA模型较适用于随机性较大的数据的趋势预测。