生态系统服务市场化工具:概念、类型与适用

生态系统服务市场化工具作为一种与命令控制型进路相对的环境政策工具,最初与污染问题相联系而出现,之后扩展至生物多样性和生态系统服务的保护,被认为能够更有效地应对市场失灵,为自然资源管理提供正向激励,有助于优化资源配置以及填补生态保护资金缺口。通过对生态系统服务市场化工具概念、类型和适用的考察,可以发现生态系统服务市场化工具的概念虽频繁出现,但界定过于宽泛模糊,几乎泛指所有带有价格成分的工具;生态系统服务市场化工具的类型划分并不一致,基于归纳的类型划分将现行市场化工具归纳为基于价格的机制、基于数量的机制和市场摩擦机制三类,而基于演绎的类型划分,则将市场化工具分为直接市场交易、许可证交易、反向拍卖、科斯类型协议、调控价格变化和自愿性价格信号六类;生态系统服务市场化工具的适用需要以生态系统服务的货币化为前提,受制于制度背景,并且应当针对市场的弊端予以法律规制,确保交易能够真正提供环境效益;市场化工具的选择不仅有赖于数字运算,还应当考虑多种因素并予以权衡,同时综合运用各种市场化或非市场化工具。中国在建立健全生态保护市场体系的过程中,应当把握生态系统服务市场化工具通过生态系统服务货币化和商品化解决环境外部性问题这一实质,理解缓解银行、生态系统服务付费、反向拍卖、生态标签和生态认证等典型市场化工具的运行机理,明确生态系统服务市场化工具适用的前提和规则,更好地发挥市场化工具的积极功效,从而实现特定的环境政策目标。     

Community participatory landscape classification and biodiversity assessment and monitoring of grazing lands in northern Kenya

In this study, we asked the Ariaal herders of northern Kenya to answer "why, what and how" they classified landscape, and assessed and monitored the biodiversity of 10 km(2) of grazing land. To answer the "why question" the herders classified grazing resources into 39 landscape patches grouped into six landscape types and classified soil as 'warm', 'intermediate' or 'cold' for the purpose of land use. For the "what question" the herders used soil conditions and vegetation characteristics to assess biodiversity. Plant species were described as 'increasers', 'decreasers' or 'stable'. The decreaser species were mostly grasses and forbs preferred for cattle and sheep grazing and the increasers were mostly woody species preferred by goats. The herders evaluated biodiversity in terms of key forage species and used absence or presence of the preferred species from individual landscapes for monitoring change in biodiversity. For the "how question" the herders used anthropogenic indicators concerned with livestock management for assessing landscape potential and suitability for grazing. The anthropogenic indicators were related to soils and biodiversity. The herders used plant species grazing preferences to determine the links between livestock production and biodiversity. By addressing these three questions, the study shows the value of incorporating the indigenous knowledge of herders into classification of landscape and assessment and monitoring of biodiversity in the grazing lands. We conclude that herder knowledge of biodiversity is related to the use as opposed to exclusive conservation practices. This type of knowledge is extremely valuable to conservation agencies for establishing a baseline for monitoring changes in biodiversity in the future.     

深水型水库藻类功能组时空演替及生境变化的影响

藻类功能分组是近年来生态学藻类研究的重要理论和方法.为了探明西安某深水型水源水库藻类功能组时空演替及生境变化的影响,于2011年8月起开展实验研究.研究采用现场在线监测和实验室分析相结合的方法.结果表明,水库藻类可分为10个功能组类别:B、D、P、X1、X3、F、G、J、LM、MP.其中,功能组B、P、F、X1、MP、D、J在水库中较为常见,X3、G、LM出现几率较低,功能组B、D、P、X1、X3的藻类数量占优.通过分析环境因子的变化对功能组时空演替的影响,发现水温为最主要的影响因子.水库藻类生长策略为:春季R/CR策略藻种→春末夏初CR/C策略藻种→夏末秋初C/CR/R/CS/S策略藻种→秋末及冬季CR/R策略藻种.此研究可为深水型水库安全取水提供理论支持.     

化学品分类管理策略与安全预警机制的建立

从全球化学品统一分类和标签制度（GHS）背景出发,结合GHS中化学品危险性分类及国内外化学品分类管理的实际情况,提出了适用于分类管理的19个危险化学品类别及化学品分类管理的整体思路;从分类别管理角度提出分类管理的重点为物理危害的11个类别,健康危害的2个类别,环境危害的1个类别;从管理环节角度提出分类管理的重点是生产、使用、储存、运输环节。在此基础上,进一步提出基于危险化学品登记数据建立安全预警机制的策略。     

石化企业危险化学品重大危险源风险评估

阐述了定量风险评价的个人风险和社会风险指标,并从前期准备、资料数据搜集、危险辨识、失效频率分析、失效后果分析、风险计算和风险评估等环节对某石化企业液化气一级重大危险源进行了定量风险评估。评估结果显示该重大危险源的个人风险和社会风险值基本符合安监总局40号令的要求。     

基于资源环境承载力的全国造纸工业类型区划分研究

本文从造纸行业特征、资源消耗、污染物排放等方面入手,结合区域资源环境承载力,分析行业发展可能带来的环境污染问题.分析造纸行业发展与其所需主要资源间的空间布局关系,明确选定行业发展的资源、环境和生态制约条件.结合造纸行业特点,从环境约束、生态约束和资源约束入手,构建其环境管理类型区划分的指标体系;采用层次分析法、灰色定权聚类分析等方法对分区数据进行必要处理,采用二维判断矩阵法等方法进行环境管理类型区划分,对实施针对造纸行业分区域、分类别、差别化的环境管理提供了决策依据和方法基础.     

我国垃圾分类现状及对策建议

分析目前我国垃圾分类回收中存在的问题,阐述垃圾分类回收处理的必要性和相关对策建议。     

基于快速聚类方法分析常州市区PM2.5的统计特性

运用统计方法研究常州市区2013~2014年6个国控点六项基本污染物(SO_2、NO_2、CO、O_3、PM_(2.5)和PM_(10))月平均浓度变化,结果表明,除O_3外,其它五项污染物月平均浓度夏季较低冬季较高.颗粒物与风速之间的关系为PM_(2.5)浓度随风速的升高一直降低,PM_(10)随风速的升高浓度先降低后升高.采用快速聚类分析(k-means)并运用SWV和DIV指数对六项基本污染物进行分类,得到4个样本分类.与依据颗粒物化学成分或粒径谱对PM进行源解析方法不同,本研究更多是从PM_(2.5)与其它污染物相关关系以及污染程度等角度按照欧式距离进行分类.不同类中PM_(2.5)来源明显不同,类1中PM_(2.5)与化石燃料燃烧排放密切相关,类2与O_3密切相关,类3与城市不完全燃烧排放、区域灰霾污染密切相关,类4可以归类于城市"背景"类.快速聚类分析结果也表明常州市区PM_(2.5)有着复杂的来源.     

中国人口集疏格局与形成机制研究

人口集聚和疏散是人口空间分布格局最直观和最集中的体现,基于人口集聚度的中国人口集疏的空间格局和形成机制的研究,有助于准确把握中国人口空间分布的基本脉络,具有重要的学术价值和实践意义。研究采用了人口集聚度分级评价的方法,依据人口集聚度的不同,将各个地区划分为不同等级的人口集聚区,并对其分别讨论。在此基础上,结合中国人口分布格局、自然条件的空间分布格局、人居环境自然适宜性评价结果以及经济发展格局和城市化格局,对中国的人口集疏的空间格局进行了归纳,并进一步对相应的形成机制进行了探讨,得出了我国人口分布的空间不平衡日益加剧,并呈现沿海、沿江、沿线集聚的态势的基本结论,并对我国人口分布集疏格局的形成进行了探讨,提出了自然因素奠定我国人口分布的基本格局,而经济发展不平衡与城市化成为人口集聚的动力的观点。     

Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm

In this paper, wind energy potential of four locations in Xinjiang region is assessed. The Weibull distribution as well as the Logistic and the Lognormal distributions are applied to describe the distributions of the wind speed at different heights. In determining the parameters in the Weibull distribution, four intelligent parameter optimization approaches including the differential evolutionary, the particle swarm optimization, and two other approaches derived from these two algorithms and combined advantages of these two approaches are employed. Then the optimal distribution is chosen through the Chi-square error (CSE), the Kolmogorov–Smirnov test error (KSE), and the root mean square error (RMSE) criteria. However, it is found that the variation range of some criteria is quite large, thus these criteria are analyzed and evaluated both from the anomalous values and by the K-means clustering method. Anomaly observation results have shown that the CSE is the first one should be considered to be eliminated from the consequent optimal distribution function selection. This idea is further confirmed by the K-means clustering algorithm, by which the CSE is clustered into a different group with KSE and RMSE. Therefore, only the reserved two error evaluation criteria are utilized to evaluate the wind power potential.