常见金属硫化物电化学反应环境效应及其影响因素分析

金属硫化物矿物作为重要的金属矿产资源之一,在自然界广泛分布并易氧化(电化学反应)引起重金属离子和酸性矿山废水污染的环境效应。本文以黄铁矿和黄铜矿为例全面分析了金属硫化物矿物环境效应产生机制,以及影响金属硫化物矿物电化学反应的各种因素,指出了当前研究存在的不足。这对金属硫化物矿区环境污染的源头控制与修复具有重要的指导意义。     

2014年-2020年江苏省城镇化的边际资源环境影响预测分析研究

利用历史数据,选取合适计算模型,定量预测了2014年-2020年江苏省城镇化边际资源环境影响,即以与城镇化发展密切相关的资源使用量或者城镇生活污染物排放量较上一年的增量,除以当年城镇化率增量,得到江苏省城镇化水平每提高一个百分点带来的资源环境影响,以期为江苏环境管理及政府综合决策提供切实有效的数据依据.结果表明:未来7年,江苏省城镇化率每上升1个百分点,增加城镇生活用水量约0.5亿立方米、城镇建设用地面积16万亩;增加城镇生活污水排放量1.15亿吨、生活氮氧化物排放量10 228吨、生活垃圾产生量36.4万吨;减少生活COD排放量7 549吨、生活氨氮排放量762吨、生活二氧化硫(SO2)排放量371吨.     

围海造地生态补偿机制探析

为缓解人地矛盾,维持社会经济发展,围海造地已成了许多沿海区域扩增建设用地的首选.但围海造地工程在带来巨大利益的同时,也给海洋生态坏境带来了一系列的负面影响,造成了新的不平衡.本文在围海造地环境影响分析及其生态补偿问题研究的基础上,从环境法的视角出发,对中国围海造地生态补偿制度的构建提出建议,最终达到使中国围海造地生态补偿制度的总体法律体系框架及具体的制度内容得以较为全面的完善与健全的目的.     

武汉城市群夏季热岛特征及演变

利用2000~2010年共11期MODIS地表温度资料和多源多时相的遥感影像分类结果揭示武汉城市群的夏季热岛效应,反演并计算出10 a间武汉城市群日间和夜间的热岛强度变化、土地覆盖类型和城镇用地面积。在对不同时相的地表温度数据进行热岛指数归一化处理的基础上,分析了武汉城市群热岛的分布特征及年代演变,定量分析了武汉城市群以及中心城市武汉市不同热状况区面积的变化和热场的变迁。结果表明,武汉城市群夏季热岛效应较为明显,其中武汉市是主要热源和热中心;自2000年起,武汉城市群城乡温度差异逐步减小,热中心分布向外扩散,城市热岛区域急速扩张,整体热环境趋于恶化;新兴城区的开发增加了武汉市的热源分布,人工表面的增加以及自然表面的减少导致城市热岛效应不断加剧。     

SMART-SREC: A stochastic model of the New Jersey solar renewable energy certificate market

Markets for solar renewable energy certificates (SRECs) are gaining in prominence in many states, stimulating growth of the US solar industry. However, SREC market prices have been extremely volatile, causing high risk to participants and potentially less investment in solar power generation. Such concerns necessitate the development of realistic, flexible and tractable models of SREC prices that capture the behavior of participants given the rules that govern the market. We propose an original stochastic model called SMART-SREC to fill this role, building on established ideas from the carbon pricing literature, and including a feedback mechanism for generation response to prices. We calibrate the model to the New Jersey market and backtest it, analyzing parameter sensitivity and demonstrating its ability to reproduce historical dynamics. Finally, we run simulations to investigate the role and impact of regulatory parameters, thus providing insight into the crucial role played by market design.     

雌二醇短期暴露对非洲爪蟾性腺和输卵管形态及性二态基因表达影响的初步研究

环境雌激素对两栖动物的生殖内分泌干扰作用已引起关注,目前的研究主要集中在长期暴露对性腺分化和发育的影响。以雌二醇(E2,10 nmol·L-1)为模式化合物,以非洲爪蟾为实验动物,6月龄的幼蛙暴露6 d,研究雌激素对性腺和输卵管形态以及性二态性基因表达的影响。结果发现,6 d的E2暴露对精巢和卵巢的形态没有明显影响,但从组织学结构来看对卵和精子的发育有微弱的促进作用。E2能够明显地促进了雌性输卵管的发育,表现为输卵管变粗变弯曲。E2暴露显著抑制精巢和卵巢中性激素合成相关基因cyp11a1、3βHSD、Srd5α、ARO的表达,对cyp17的表达无影响,使脑中LHβ和FSHβ的表达下调;对性别分化和性腺发育相关基因Dax、AR、ERα、TFⅢA、TBPL2的表达均无影响,但能够促进卵巢中Sox3的表达;同时促进脑中Emi2的表达,抑制脑中Dmrt1的表达。因此,输卵管可作为敏感的形态指标,性腺中Srd5α、cyp11a1、3βHSD、ARO、Sox3和脑中LHβ、FSHβ、Dmrt1、Emi2可作为分子指标。以上结果可为后续建立评价化学品对两栖动物雌激素效应的短期试验方法提供参考。     

Machine learning based quantitative consequence prediction models for toxic dispersion casualty

Incidental release of toxic chemicals can pose extreme danger to life in the vicinity. Therefore, it is crucial for emergency responders, plant operators, and safety professionals to have a fast and accurate prediction to evaluate possible toxic dispersion life-threatening consequences. In this work, a toxic chemical dispersion casualty database that contains 450 leak scenarios of 18 toxic chemicals is constructed to develop a machine learning based quantitative property-consequence relationship (QPCR) model to estimate the affected area caused by toxic chemical release within a certain death rate. The results show that the developed QPCR model can predict the toxic dispersion casualty range with root mean square error of maximum distance, minimum distance, and maximum width less than 0.2, 0.4, and 0.3, which indicates that the constructed model has satisfying accuracy in predicting toxic dispersion ranges under different lethal consequences. The model can be further expanded to accommodate more toxic chemicals and leaking scenarios.     

Effects of typical additives on the thermal stability of ammonium peroxydisulfate

Ammonium peroxydisulfate (APS), one of the most widely used inorganic peroxides in the process industries, is a thermally unstable peroxide and potent oxidizer due to the presence of peroxy bond in the molecule and is incompatible with most substances. To investigate the effect of typical additives on the thermal decomposition of APS, in this paper, diamine phosphate (DAP), monoamine phosphate (MAP), and aluminum hydroxide (AH) were selected as additives; pure APS and samples with 10 wt% and 20 wt% of additives were first tested by differential scanning calorimetry (DSC). The experiments and analysis showed that the samples with 10 wt% of additive had better thermal stability than those with 20 wt% of additive. After screening, the three groups of 10 wt% AH, 10 wt% MAP, and 20 wt% MAP additive conditions could be considered to have a better thermal stability effect on the thermal decomposition of APS. Four groups of samples were, in turn, tested by Phi-Tec II. The adiabatic results showed two discontinuous exothermic processes; 10 wt% AH promoted the weak exothermic effect in the first stage. In contrast, the three groups of additives in the main exothermic stage showed different degrees of inhibition, and the inhibiting effect was ranked as 10 wt% AH, 10 wt% MAP, and 20 wt% MAP in order. Finally, the self-accelerated decomposition temperature (SADT) was calculated under the 25 kg standard package. The adiabatic results, including SADT, were combined to render feasible recommendations for the use of additives, which provides references for the packaging and transportation of additives and their applications.     

基于BP神经网络的矿车运行时矿井摩擦阻力的预测*

为了快速有效地确定矿车等运输设备在巷道内运行时矿井摩擦阻力的变化情况,克服模拟软件计算量和现场实测工作量大的问题,以巷道风流速度、矿车运行速度、阻塞比、矿车长度4个矿车运行时巷道摩擦阻力的影响因素作为切入点,采用动网格技术模拟得到矿车在巷道内运行时有关矿井摩擦阻力的数据,以此为样本构建基于BP神经网络的矿井摩擦阻力预测模型,运用MATLAB软件进行网络训练,并将BP神经网络预测值与FLUENT模拟值进行对比。研究结果表明:BP神经网络结构比较简单,能以较快速度收敛,预测值与模拟值最大误差在7%以内,该神经网络模型用于求解矿车等运输设备在巷道内运行时摩擦阻力的变化情况是可行的。     

中国市域旅游流网络结构空间分异及其效应研究——基于携程旅行网的大数据挖掘

大数据驱动的旅游流网络结构研究是旅游流深化研究的主要方向之一。利用网络爬虫技术抓取携程旅行网上中国市域尺度的旅游线路及相关数据,在构建O-D矩阵的基础上,揭示网络结构指标的空间分异及其效应。中国市域旅游流网络具有以下特征：网络同质性较小;不同主题类旅游流流量总体上遵从东多西少、东南多西北少的总体格局;中国市域旅游流网络形成了五大高值集聚区,分别为长三角城市群、泛珠三角地区、云南内部、青海—甘肃交界地区、北疆地区;中国市域旅游流网络还具有显著的资源—经济指向性,“结构”效应总体不显著。未来需要进一步重视区域旅游网络化的发展特征,在尊重空间规律的基础上,发挥核心组团的辐射作用,发挥“资源—经济”的双核驱动,促进跨区域旅游合作。