Discrete-choice experiments valuing local environmental impacts of renewables: two approaches to a case study in Portugal

Despite the often mentioned environmental benefits associated with transition from fossil fuels to renewable energy sources, their use for electricity production has non-negligible negative environmental impacts. The most commonly mentioned in surveys concern different types of landscape impacts, impacts on the fauna and flora, and noise. These impacts differ by size and location of plants, and by source of energy, rendering the policy decision complex. In addition, there are other welfare issues to take into consideration, as positive and negative environmental impacts are not evenly distributed among population groups. This paper proposes to compare the welfare impacts of renewable energy sources controlling for the type of renewable as well as the specific environmental impact by source. To this end, two discrete-choice experiments are designed and applied to a national sample of the Portuguese population. In one case, only individual negative impacts of renewables are used, and in another case, the negative impacts interact with a specific source. Results show the robustness of discrete-choice experiments as a method to estimate the welfare change induced by the impacts of renewable energy sources. Overall, respondents are willing to pay to reduce the environmental impacts, thus making compensation for local impacts feasible. Moreover, the estimations reveal that respondents are significantly sensitive to the detrimental environmental effects of specific renewable energy sources, being willing to pay more to use these sources of energy relative to others.     

Iodine enrichment and the underlying mechanism in deep groundwater in the Cangzhou Region,North China

Environmental Science and Pollution Research - The lack of information on the origin and behavior of iodine in deep groundwater restricts the development and use of groundwater resources. To...     

Can we take the pulse of environmental governance the way we take the pulse of nature? Applying the Freshwater Health Index in Latin America

Quantitative assessments have long been used to evaluate the condition of the natural environment, providing information for standard setting, adaptive management, and monitoring. Similar approaches have been developed to measure environmental governance, however, the end result (e.g., numeric indicators) belies the subjective and normative judgments that are involved in evaluating governance. We demonstrate a framework that makes this information transparent, through an application of the Freshwater Health Index in three different river basins in Latin America. Water Governance is measured on a 0–100 scale, using data derived from perception-based surveys administered to stakeholders. Results suggest that water governance is a primary area of concern in all three places, with low overall scores (Guandu-26, Alto Mayo-38, Bogotá-43). We conclude that this approach to measuring governance at the river basin scale provides valuable information to support monitoring and decision making, and we offer suggestions on how it can be improved.Electronic supplementary materialThe online version of this article (10.1007/s13280-020-01407-8) contains supplementary material, which is available to authorized users.     

Innovations strategy for moving from created regional clusters to co-creation in life sciences for health care and well-being ecosystems

Environmental Science and Pollution Research - Over the last decades, the demographic changes have all altered the population structure and influenced the social, economic, and political...     

我国典型城市PM_(2.5)空间分布均匀性分析

随着空气质量新标准的实施,从2013年开始我国部分城市先期开展了PM2.5的例行监测,从中选取不同区域的典型城市,分析了PM2.5在环境中的分布情况。分析结果表明:典型城市PM2.5日均值相对标准偏差(RSD)范围为13%~26%,平均值为18%;我国南方城市PM2.5空间分布均匀性优于北方城市,北方城市冬、春季节PM2.5分布的均匀性较差,南方城市夏季PM2.5分布的均匀性较差;PM2.5的空间分布均匀程度与PM10接近,但明显优于其他气态污染物。综合分析认为,目前我国国家监测网内PM2.5监测点位的代表性能够满足城市空气质量监测与评价工作需要。     

基于静电纺丝膜的Fenton法降解双氯芬酸钠

通过浸渍法将铁盐负载于静电纺丝纤维膜制备了类Fenton催化剂,并通过扫描电子显微镜（SEM）对静电纺丝膜进行了表征,研究了该催化剂降解双氯芬酸钠的特性及其重复利用率。结果表明,静电纺丝纤维膜反应前后膜结构良好,反应过程中铁离子几乎无溶出;膜对双氯芬酸钠有一定的吸附能力,去除率约为6.96%。当双氯芬酸钠初始浓度为20 mg·L-1,按0.310 g·（100 mL）-1比例加入催化剂时,H2O2最佳用量为340 mg·L-1。溶液的初始pH值对实验结果影响较大,酸性条件更利于双氯芬酸钠的降解,最佳pH值为3.14,但该催化剂所适用的pH值范围较之传统Fenton法有明显拓展。所制备的催化剂重复利用率高,循环使用4次后,催化活性无明显改变,4 h的去除率依然高达95%以上。反应中双氯芬酸钠主要生成乙酸等小分子化合物,最终可氧化为CO2和H2O。     

表面活性剂强化球形节杆菌修复DDTs污染农田土壤的现场实验

通过田间实验,研究了不同浓度的表面活性剂（SDBS-TW80和RL）对球形节杆菌Arthrobacter globiformis DC-1降解设施农业土壤中DDTs效果的影响。结果表明,SDBS-TW80和RL 均能不同程度地促进球形节杆菌降解农田土壤中DDTs。当SDBS-TW80和RL浓度分别为200和5 mg·kg-1土时,DDTs的降解率达到最高,均为64%左右。DDTs组分分析表明：SDBS-TW80和RL对p,p'-DDE、p,p'-DDT、p,p'-DDD和o,p'-DDT 4种组分均有不同程度的降解,其中毒性最强的p,p'-DDE降解效果最好,最高达75%左右。实验结果证实了利用表面活性剂强化球形节杆菌现场修复DDTs污染土壤的可能性。考虑到修复效率和成本,实际应用中优先选择SDBS-TW80的组合。     

响应面法优化石油降解菌性能的研究

从延长油田石油污染土壤中筛选出4株能以原油为唯一碳源生长的细菌单菌株,鉴定其优势菌株YC-2为枯草芽孢杆菌;利用响应面法进行实验设计,选定培养温度、pH值、氮磷比以及盐度为影响因素,对原油含量为0.5%的培养基进行YC-2菌株降解工艺优化,得到了原油降解率与4种因素之间的非线性回归方程,确定了降解原油的最优工艺条件:培养温度28℃;pH值6.5,氮磷比5.2:1,盐度0.45%。在最优条件下,预测降解率为53.9%,实验验证值为52.5%,结果显示,建立的模型具有较高的精度。     

300 MW燃煤锅炉机组超细颗粒聚并器的实验研究

为了解决燃煤锅炉烟气中超细颗粒难以脱除的问题,基于流体动力学原理设计了一种超细颗粒聚并器,并在300 MW燃煤锅炉机组电除尘器的前置烟道中进行了实验研究。结果表明,聚并器内部存在超细颗粒之间以及超细颗粒与大颗粒之间的相互聚集行为,从而使超细颗粒数量显著减少。例如,对于粒径在2.65和10.48 μm以下的颗粒,其体积比例在聚并器出口分别减少了56.7%和62.3%,在电除尘器出口的粉尘浓度减少了26.34 mg/Nm3,这表明,基于流体动力学原理的聚并器对超细颗粒的聚并作用明显,具有良好的应用前景。     

任务驱动下的建筑施工现场危险源关联规则挖掘

大数据时代的建筑施工现场会产生海量数据信息,如何利用这些数据并从中找出建筑施工现场内外环境中危险源之间的关联关系,对于施工安全尤为重要。利用Apriori算法挖掘施工隐患数据集,生成危险源关联规则;然后依据任务驱动思想令计算机将施工任务映射到相应施工情境下的危险源关联规则中,管理者便可根据具体施工任务搜索到更想要关注的安全规则信息;从这些规则信息的搜索结果发现,隐患的发生常常是由于危险源在时间上的连续或在空间上的交互所致,因此利用这些挖掘出的关联规则可以帮助施工管理人员对施工现场进行有效安全管理。