Comparison of the Performance of Statistical Models in Forecasting Monthly Total Dissolved Solids in the Rio Grande1

Abudu, S., J.P. King, Z. Sheng, 2011. Comparison of the Performance of Statistical Models in Forecasting Monthly Total Dissolved Solids in the Rio Grande. Journal of the American Water Resources Association (JAWRA) 48(1): 10‐23. DOI: 10.1111/j.1752‐1688.2011.00587.x Abstract: This paper presents the application of autoregressive integrated moving average (ARIMA), transfer function‐noise (TFN), and artificial neural networks (ANNs) modeling approaches in forecasting monthly total dissolved solids (TDS) of water in the Rio Grande at El Paso, Texas. Predictability analysis was performed between the precipitation, temperature, streamflow rates at the site, releases from upstream reservoirs, and monthly TDS using cross‐correlation statistical tests. The chi‐square test results indicated that the average monthly temperature and precipitation did not show significant predictability on monthly TDS series. The performances of one‐ to three‐month‐ahead model forecasts for the testing period of 1984‐1994 showed that the TFN model that incorporated the streamflow rates at the site and Caballo Reservoir release improved monthly TDS forecasts slightly better than the ARIMA models. Except for one‐month‐ahead forecasts, the ANN models using the streamflow rates at the site as inputs resulted in no significant improvements over the TFN models at two‐month‐ahead and three‐month‐ahead forecasts. For three‐month‐ahead forecasts, the simple ARIMA showed similar performance compared to all other models. The results of this study suggested that simple deseasonalized ARIMA models could be used in one‐ to three‐month‐ahead TDS forecasting at the study site with a simple, explicit model structure and similar model performance as the TFN and ANN models for better water management in the Basin.     

交叉上市公司社会责任缺陷披露的市场反应——基于紫金矿业突发渗漏环保事故的案例研究

伴随着工业化进程加快,社会责任缺失现象日益严重,各类企业违法违规事故层出不穷,其中不乏国有大型控股公司,这种现象引起了投资者、监管机构等利益相关者的广泛关注。在此背景下,研究资本市场对上市公司社会责任缺陷披露的反应具有重要的理论意义和现实意义。本文以交叉上市的紫金矿业为例,采用事项研究法,检验了A股和H股市场对紫金矿业集团股份有限公司发布的一系列有关紫金山铜矿湿法厂污水池突发渗漏环保事故重要公告的市场反应,并比较了两地市场对同一公告的反应差异。研究发现:两地市场对重大事故公告均提前预知并呈负面反应,在公告前A股市场反应程度大于H股市场,公告发布后H股市场投资者更加敏感;两地市场对董事会(临时)决议公告呈正面反应,但H股市场投资者更加谨慎;对处罚公告两市反应不同,A股市场未对处罚公告作出反应,H股市场对处罚公告呈负面反应;总体而言,H股市场与A股市场反应程度存在显著差异。     

Social learning in a policy-mandated collaboration: community wildfire protection planning in the eastern United States

Policies such as the US Healthy Forests Restoration Act (HFRA) mandate collaboration in planning to create benefits such as social learning and shared understanding among partners. However, some question the ability of top-down policy to foster successful local collaboration. Through in-depth interviews and document analysis, this paper investigates social learning and transformative learning in three case studies of Community Wildfire Protection Planning (CWPP), a policy-mandated collaboration under HFRA. Not all CWPP groups engaged in social learning. Those that did learned most about organisational priorities and values through communicative learning. Few participants gained new skills or knowledge through instrumental learning. CWPP groups had to commit to learning, but the design of the collaborative-mandate influenced the type of learning that was most likely to occur. This research suggests a potential role for top-down policy in setting the structural context for learning at the local level, but also confirms the importance of collaborative context and process in fostering social learning.     

新疆“十五”至“十一五”期间影响工业固废产生及排放的主要社会经济因素分析

采用灰色关联分析,找出了影响工业固废量的主要社会经济因素,认为第二产业是影响工业固废的主要因素。第二产业结构比重加大,工业固废量增加。从减少工业固废的角度来看,调整产业结构已是当务之急;环境污染治理投资与工业固废因子关联度最小,说明环保投资已远不能满足环境治理的实际需要,需加大环保投资。     

浅谈大学生社会实践活动的项目化管理

结合中国环境管理干部学院"千名学生绿色行"活动的项目化管理的具体组织和实践情况,在实际工作中探索大学生社会实践活动项目化管理的科学性和有效性,将项目化管理模式应用于大学生实践活动的管理中,最大限度地利用现有的学生活动资源、规范管理行为、降低管理成本、提高工作效率,实现培养大学生综合素质和创新能力的目的。     

The relationships between air pollutants, meteorological parameters and concentration of airborne fungal spores

Fungal spores are an important component of bioaerosol and also considered to act as indicator of the level of atmospheric bio-pollution. Therefore, better understanding of these phenomena demands a detailed survey of airborne particles.The objective of this study was to examine the dependence of two the most important allergenic taxa of airborne fungi - Alternaria and Cladosporium - on meteorological parameters and air pollutant concentrations during three consecutive years (2006-2008). This study is also an attempt to create artificial neural network (ANN) forecasting models useful in the prediction of aeroallergen abundance.There were statistically significant relationships between spore concentration and environmental parameters as well as pollutants, confirmed by the Spearman’s correlation rank analysis and high performance of the ANN models obtained. The concentrations of Cladosporium and Alternaria spores can be predicted with quite good accuracy from meteorological conditions and air pollution recorded three days earlier.     

基于不同价值构成的耕地资源价值评估——以湖南省为例

正确认识和科学评估耕地资源的完全价值,对缓解征地补偿标准过低、土地收益分配不合理以及粮食安全和生态环境等问题具有一定指导意义。基于耕地的不同价值构成,选用相应的评估方法对湖南省不同等级耕地的总价值进行了评估,评估结果为：1~5等耕地资源单位面积的总价值分别为547 24813、481 61077、430 74534、385 86049和336 19093元/hm2;不同等级耕地上3种耕地价值的构成不一样,社会保障价值在所有不同等级耕地总价值中所占比重最大。这一研究结论对于显化耕地资源的完全价值以及抑制耕地资源的过度流失具有积极的作用     

自然灾害社会脆弱性评估研究——以上海市为例

基于投影寻踪聚类模型(PPC),结合基于实数编码的加速遗传算法(RAGA),对上海市进行了自然灾害社会脆弱性评估的尝试。结果表明:①灾害社会脆弱性最高的为崇明县,其次为宝山区和金山区;②灾害社会脆弱性最低的是黄埔区,其次是徐汇区和静安区;③总体而言,灾害脆弱性较低的地区集中于上海城市中心区,而城市边缘区的社会脆弱性一般较高。     

风能资源开发利用的社会需要和发展前景

开发风能资源、利能风力发电在我国虽然只有数十年，但发展却很快。作为可再生的清洁能源越来越受到重视。不仅有巨大的环保意义，也有突出的经济效益。本文从风能利用的意义和社会需要展开论证，结合我国风能资源利用的概况，特别是结合风电装机最多的新疆的实际情况进行估算，从多侧面论述了风能资源的开发利用问题。     

Estimating the extent and structure of trade in horticultural orchids via social media

The wildlife trade is a lucrative industry involving thousands of animal and plant species. The increasing use of the internet for both legal and illegal wildlife trade is well documented, but there is evidence that trade may be emerging on new online technologies such as social media. Using the orchid trade as a case study, we conducted the first systematic survey of wildlife trade on an international social‐media website. We focused on themed forums (groups), where people with similar interests can interact by uploading images or text (posts) that are visible to other group members. We used social‐network analysis to examine the ties between 150 of these orchid‐themed groups to determine the structure of the network. We found 4 communities of closely linked groups based around shared language. Most trade occurred in a community that consisted of English‐speaking and Southeast Asian groups. In addition to the network analysis, we randomly sampled 30 groups from the whole network to assess the prevalence of trade in cultivated and wild plants. Of 55,805 posts recorded over 12 weeks, 8.9% contained plants for sale, and 22–46% of these posts pertained to wild‐collected orchids. Although total numbers of posts about trade were relatively small, the large proportion of posts advertising wild orchids for sale supports calls for better monitoring of social media for trade in wild‐collected plants.