生态工业园评价方法研究:以北京市为例

建立科学有效的评价方法将有助于稳步推进我国的生态工业园建设．而园区所处区域的特点对于评价指标的选择和评价体系的建立具有重要影响。本研究在借鉴国内外最新研究成果的基础上．针对北京工业开发区的发展现状和特点．考虑相关性、可操作等原则，初步提出了一套生态工业园评价指标体系框架及其计算评价方法。评价指标共分为6大类准则，共计25个具体指标．划分为“控制性”指标和“指导性”指标。前者包括：信息基建共事类指标、管理与发展类指标、减量消耗类指标、园区环保类指标。后者包括：循环利用类指标和产业共生类指标。该指标体系蕴涵的思想和理论方法已成为推进北京生态工业园建设的重要借鉴，也可作为国家生态工业园评价方法研究的有益补充。     

中国流域内农业水费的分担模式

阐释了建立流域内农业水费分担模式的必要性及内在要求,针对当前几种典型的分担模式进行了经济学的对比分析,进而通过综合考虑农业用水供需双方的经济利益,建立起灌区供水单位与农民用水户的节水激励模型并对其进行数理分析,考察了基于节水激励的农业水费分担模式,并在此基础上设计了流域内农业水费分担模式的运作流程。研究得出,财政直接补贴农户的方式增加了消费者福利的同时,可以避免间接补贴方式下"鼓励浪费"现象的发生,相比之下较为有效。然而,目前过低的农业水价大大限制了市场的调节功能,为此适当提高现行水价,并在此基础上实行政府对农户的直接财政补贴,不仅能够减轻现阶段农民水费负担,而且可以对农业用水的供需双方产生节水激励,有助于缓解我国水资源的短缺与发展节水农业。在具体操作流程中,应采取补贴农户与补贴灌区相结合的方式。     

经济集聚对雾霾污染影响的空间计量研究——以长江三角洲地区为例

雾霾污染是困扰中国经济发展的重大民生与环境问题。基于改进产出密度模型,运用地统计和空间计量模型分析长三角城市2015~2017年雾霾污染空间格局和影响因素。研究发现：（1）雾霾污染存在季节性变化特征并且各城市雾霾污染状况逐渐好转。（2）雾霾污染具有显著的局域集聚特征和空间异质性,杭州、宁波和台州呈现低－低集聚特征,而滁州、扬州、镇江和泰州为高－高集聚型,污染区域集中于省界处,污染程度自西北向东南逐渐降低。雾霾污染存在显著的城际空间正相关和空间溢出效应,周边城市雾霾污染对本地区会产生负影响。（3）长三角城市人口集聚、研发投入、产业结构、工业烟粉尘排放及城市建设均对雾霾污染产生正向影响,对外开放、能源消耗以及降水等因素对雾霾污染产生负向影响;雾霾污染与经济增长之间不存在库兹涅茨曲线关系。经济集聚通过优化生产要素的空间分布与组合、共享治污基础设施等,形成雾霾污染抑制作用。     

基于ARCGIS的长株潭城市群核心区环境容量评价

区域环境容量评价与分析是区域合理开发和布局的重要依据。在ARCGIS技术的支持下,首先对长株潭城市群核心区大气、水和土壤环境容量分别进行评价与分析,形成等级图,然后,进行各因素空间叠加,经综合分析与评价,将核心区划分为5个区域：优良区、合理区、饱和区、超饱和区、过度饱和区,并且还提出了相应的建议与对策。其主旨是为促进该区域空间科学开发与布局、生态环境的合理保护,对规范长株潭城市群“两型社会”建设理性发展具有非常重要的意义,并提供参考依据     

安徽省冬季PM2.5污染来源及其成因分析

随着中国城市化和工业化的加速发展,大气污染的问题日益突出,严重危害公众身体健康。基于安徽省逐小时PM2.5浓度监测数据,采用后向轨迹模式、潜在源因子分析法（PSCF）和权重浓度分析法（CWT）,构建PM2.5来源分析模型,分析了安徽省PM2.5的来源,并结合地理探测器辨析了影响PM2.5本底贡献浓度的驱动因子。结果表明：（1）本底贡献、本底外溢和外地输送这3个动态过程对安徽省PM2.5浓度的时空变化有重要的影响;（2）PM2.5月累计逐小时测量浓度、总浓度、外地输送浓度、本底贡献浓度、本底外溢浓度和月均PM2.5本底排放贡献率,均在整体呈现出西南高、东北低的分布趋势,但前3项在安徽西北部的阜阳、亳州和淮北等地出现高值区;（3）安徽省约97.5%的面积外地输送贡献率>50%,下辖市PM2.5本底排放贡献率在30%~50%,说明1月污染以外地输送为主;（4）工厂密度、车辆保有量密度和人口密度对PM2.5月累计本底贡献浓度的解释力q值分别为0.33、0.47和0.61,通过与PM2.5月累计测量浓度地理探测分析结果的比较,表明人为要素与PM2.5月累计本底贡献浓度的关系更加密切。研究结果可为区域大气污染治理提供科学的参考依据。     

基于STIRPAT和GM(1,1)模型的湖南省农地投入碳排放增长机理及趋势预测

探索农地投入的碳排放特征、增长机理及趋势预测,并提出减排对策对农业发展向低碳绿色转型具有重要意义。研究采用回归分析法、STIRPAT和GM(1,1)模型解析湖南省农地投入碳排放增长机理并做出趋势预测。结果表明:2000~2014年湖南省农地投入碳排放量呈上升趋势,年均增长率为3.25%,各类碳源中化肥累计的碳排放量最大,其次是农药;此外翻耕、农药、农膜、柴油、灌溉、化肥累计碳排放年均增长量分别为0.68%、3.22%、7.47%、6.42%、2.57%、3.25%。农业人口、人均农业GDP、机械化水平、农业生产效率、农业产业结构显著影响农地碳排放,各因素每发生1%的变动会相应带来农地碳排放量约0.20%、0.95%、0.12%、0.98%和0.93%的变化。通过GM(1,1)模型对2016~2020年湖南省农地投入碳排放量进行预测,碳排放量呈持续上升趋势,2020年预计达到430.43万t。最后根据研究结果提出促进农地投入碳减排的政策建议。     

降雨过程中红壤团聚体粒径变化对溅蚀的影响

为揭示团聚体粒径动态变化对溅蚀的影响,通过室内人工模拟降雨试验,以第四纪粘土、泥质页岩发育红壤为研究对象,研究了酒精预湿润后的2~5 mm团聚体在降雨过程中粒径动态变化及溅蚀率的变化。试验结果表明：在60 mm/h雨强下,团聚体受雨滴机械打击破碎主要发生在降雨的最初阶段,团聚体＞0.25 mm百分含量（P＞0.25）及平均重量直径（M）均随降雨时间（T）增加呈幂函数减小,溅蚀率（Dr）随降雨时间（T）增加呈幂函数增加,而溅蚀率（Dr）随团聚体平均重量直径（M）减小呈幂函数增大。为揭示不同土样在降雨溅蚀过程中溅蚀率的变化规律,利用团聚体稳定性特征参数-机械破碎指数（R）及降雨时间（T）,建立了不同团聚体稳定性土样溅蚀率随降雨时间变化的经验方程,且方程可决系数较高（R2=0.82）,揭示出团聚体稳定性越好,其破碎过程越缓慢,溅蚀率越小。研究结果为红壤区土壤侵蚀的防治及侵蚀机理研究提供了新思路     

Drinking water risk assessment in practice: the case of Swedish drinking water producers at risk from floods

To achieve a safe and reliable drinking water supply, water producers need to manage a large range of risks regarding both water quality and quantity. A risk management approach where risks are systematically identified and handled in a preventive manner is promoted by the World Health Organization and supported by researchers and drinking water experts worldwide. Risk assessment is an important part of such a management approach, and a variety of tools for risk assessment are described in the literature. There is, however, little knowledge of how drinking water risk assessment is performed in practice, including which tools that are actually used. This study investigates the use of risk assessment tools, and the approach to risk management, on a local level in the Swedish water sector. It is based on interviews with key persons from a targeted selection of water producers. We find that the application of tools as well as the approach to risk assessment and management differs considerably between the water producers. The tools most frequently used are mainly the ones promoted or required by Swedish national organizations. Although many of the water producers have done some kind of risk assessment, most have not implemented a risk management approach. Furthermore, their knowledge of the concepts of risk and risk management is often limited. The largest challenge identified is to prioritize risk assessment, so that it is actually performed and then used as a basis for managing risk in a systematic way.     

Measuring the linkage between strategies on sustainability and institutional forces: an empirical study of Spanish universities

Policy documents are commonly identified as key outcomes that guide initiatives directed by senior university leaders towards sustainability through plans and policies. Many studies have called for a more integration of sustainability into universities. Nevertheless, the interest in sustainability issues has been more recent in the specific case of Spain. This study analyses the strategic plans developed by Spanish universities in the last decade with two different aims: first, we examine the extent to which Spanish universities are incorporating strategies on sustainability. The second goal evaluates whether the presence of strategies on sustainability in Spanish universities could be associated with coercive and mimetic pressures. Findings indicate the low presence of strategies on sustainability in Spanish universities. Moreover, the results seem to suggest that the presence of strategies on sustainability in Spanish universities could be linked with coercive and mimetic pressures emanating from the State performance funding for universities. The results indicate that universities usually incorporate practices and strategies on sustainability as a response of the pressure exerted by institutional forces, such as the funding systems of higher education institutions.     

On causes of illegal waste dumping in Slovakia

This paper examines the determinants of illegal waste dumping at the county level in Slovakia (in 77 of 79 counties), using a truncated regression model. It analyzes a unique data-set composed of illegal dumping data provided by the TrashOut platform and sociodemographic data from the national statistical authority.

This study shows that a higher level of expected overall waste production results in a higher rate of illegally dumped waste and a higher number of illegal dumping sites. More precisely, income has a positive impact on the rate of illegal waste dumping, poverty influences the rate of illegal dumping negatively and a higher level of education does not result in more responsible waste management. On the contrary, higher education has a positive influence on the rate of dumping. A negative relationship between costs of illegal waste disposal and dumping rate, as well as a positive relationship between costs of legal waste disposal and dumping rate has been revealed.