我国环境保护科技创新工作“十二五”进展与“十三五”展望

推进环保科技创新是加快环境管理战略转型的重要基础和支撑。论述了科技创新在我国环境保护管理中的作用,回顾了"十二五"期间在水、大气、土壤、生态、固废与化学品等领域环保科技工作的进展与成效,提出了"十三五"环境保护科技工作的发展方向和重点任务。     

固相微萃取-气质联用法测定水中痕量土臭素和二甲基异崁醇

采用固相微萃-气相色谱/质谱法(SPME-GC/MS)对GSM和2-MIB进行富集检测。实验对萃取富集和仪器条件进行了优化,得出最佳实验条件：NaCl投加量30%,萃取温度65℃,萃取时间40 min,解吸3 min,不分流进样,SIM模式采集数据。实验还对萃取头的使用次数和维护进行了探讨。利用已经建立的SPME-GC/MS法对佛山市28家水厂的出厂水和原水、佛山典型景观千灯湖和亚艺公园湖水进行普查。该法具有操作简单快速、能实现自动化连续检测、准确、灵敏度高等特点,适用于饮用水中嗅味物质定性和定量。     

关于老工业区污染场地管理的探讨

根据在某老工业区第1批28块场地环境调查的实践,对污染场地管理中存在的问题进行了分析并提出了相应改进建议：①获取准确的场地资料难度很大,建议研究制定场地全过程档案管理制度;②工业企业关闭搬迁会产生新的环境污染风险,工业企业关闭搬迁应该成为污染场地管理的重要环节,环保部门应该在工业企业搬迁前介入,严格监管整个过程中的环境污染;③大量区域由于其中污染严重、风险高的场地缺乏修复资金而难以再开发利用,建议结合规划优先启动资金投入低的污染较轻区域修复,并同时对风险较高的污染场地进行风险管控,当区域开发取得一定规模、成就和收益后,可以整合资金力量和资源开展污染较重区域的修复。     

水资源环境承载能力监测预警平台设计探讨

建立水资源环境承载力监测预警平台与机制,是实现我国环境管理战略由以环境污染控制为目标导向,向以环境质量改善为目标导向彻底转变的重要支撑手段。以水资源环境承载力领域的相关研究进展为基础,提出水资源环境承载力监控预警平台的设计框架,平台设计的逻辑结构、核心功能以及相对应的水资源环境承载力评估技术,并对该平台建设的困难、问题及未来的发展趋势进行了分析,以期为水资源环境承载能力监测预警机制建设提供有益的参考。     

噪声污染侵权责任中“噪声污染”的界定

判定是否承担噪声污染侵权责任首先是对噪声污染的概念的界定,现行法律对该概念的界定主要采用“超标+干扰”的主客观相结合要件,实践中出现了扰民但噪声不超标的情况,由于不符合“环境噪声污染”概念而难以得到救济.对噪声污染概念的重构需要考虑到行政法中和侵权法中该概念的不同,其蕴含的价值区别.参考国外立法并结合我国实际应将超过忍受限度作为对噪声污染概念界定的标准之一,在保护人身的同时将对财产的保护也纳入保护范围之内.在环境噪声污染侵权中,法院在适用法律裁判案件时,不应运用《环境噪声污染防治法》中关于环境噪声污染概念的界定.     

阜新市空气监测点位优化的聚类分析

基于聚类分析法利用数据之间距离系数进行分类的原理,建立空气监测点位聚类分析优化模型,结合阜新市地形、气象及历史监测数据,进行阜新市空气监测点位布设优化应用,优化结果表明:距离相似水平取d=0.3时,环保局(B点)与人民公园(C点)监测点空气污染物浓度分布相似性最高,合并为1点,增设气象台监测点位作为清洁背景点,4个点位构成阜新市空气监测新网络;利用CALPUFF模型模拟对优化后监测点位进行相关性检验。检验结果表明:监测点位优化后SO2浓度与实测值相关系数为0.984,PM10相关系数为0.968,NO2相关系数为0.973。CALPUFF模型模拟值与实际监测值之间相关系数均大于0.75,表明优化后的阜新市空气监测点位具有客观环境代表性;监测点位优化与检验方法具有一定应用价值。     

基于环境科学优化城市公园的设计研究

基于环境科学优化城市公园的设计研究,中国城市公园存在着环境品质不高的状况.为实现公园景观的整体优化,引入环境科学理论,关注环境与人在行为之间的作用.从对城市公园的设计,制定研究框架,并根据研究结果确立景观设计的策略.关于公园的设计表明,基于环境科学的城市公园设计研究是可行的,它从城市公园空间建设的本质入手,抓住提高城市公园环境品质的实质,才能满足城市公园的设计,同时也可以考虑优化城市公园的设计的推广性.     

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.     

Models-as-usual for unusual risks? On the value of catastrophic climate change

We study the role of intertemporal preference representations in a model of economic growth, stock pollutant and endogenous risk of catastrophic collapse. We contrast two polar instances of risk-sensitive preferences: the traditional “discounted utility” model, which imposes a positive rate of pure time preference and risk neutrality with respect to intertemporal utility, and multiplicatively separable preferences, which display risk aversion in that dimension but no pure time preferences. We show that both representations of preferences can rationalize the same economy when there is no collapse risk associated with pollution. Once we introduce a collapse risk whose hazard rate depends on the pollution stock, multiplicatively separable preferences are associated with a much higher value of catastrophic risk reduction, and a more stringent policy response. A relatively high discount rate may thus be compatible with large emissions abatement in the face of a low probability large impact event, reflecting preferences for catastrophic risk reduction.     

Environmental policy and macroeconomic dynamics in a new Keynesian model

This paper studies the dynamic behavior of an economy under different environmental policy regimes in a New Keynesian model with nominal and real uncertainty. We find the following results: (i) an emissions cap policy is likely to dampen macroeconomic fluctuations; (ii) staggered price adjustment alters significantly the performance of the environmental policy regime put in place; (iii) the optimal environmental policy response to shocks is strongly influenced by the degree to which prices adjust and by the monetary policy reaction.