Drivers of revitalization in Great Lakes coastal communities

Sediment remediation and habitat restoration projects have been increasingly employed along the coast of the Great Lakes to improve environmental quality since the designation of 43 highly degraded Areas of Concern (AOCs) by the 1987 Great Lakes Water Quality Agreement between the U.S. and Canada. Improvements in water quality, habitat, and other environmental conditions can also support community wellbeing and revitalization; however, the mechanisms that support these connections are relatively unclear. We address this gap through a case study of three AOCs near Lake Michigan: 1) Grand Calumet River; 2) White Lake, and 3) Muskegon Lake. By analyzing secondary data and planning documents, we found that alongside environmental cleanup, anchor institutions, housing and economic development, and local events drive revitalization. Our research also illustrates that, rather than acting as discrete processes, environmental cleanup and revitalization drivers overlap in time and space. Finally, our research reveals a high level of variation within and across AOCs in terms of diverse socioeconomic contexts, planning capacities, and existing partnerships. Together, our findings point to the need for collaborative and inclusive planning processes that account for the heterogeneity present within and across AOCs to simultaneously support remediation, restoration, and revitalization and to sustain continued revitalization in AOC communities after delisting.     

An immersive virtual reality serious game to enhance earthquake behavioral responses and post-earthquake evacuation preparedness in buildings

Enhancing the earthquake behavioral responses and post-earthquake evacuation preparedness of building occupants is beneficial to increasing their chances of survival and reducing casualties after the mainshock of an earthquake. Traditionally, training approaches such as seminars, posters, videos or drills are applied to enhance preparedness. However, they are not highly engaging and have limited sensory capabilities to mimic life-threatening scenarios for the purpose of training potential participants. Immersive Virtual Reality (IVR) and Serious Games (SG) as innovative digital technologies can be used to create training tools to overcome these limitations. In this study, we propose an IVR SG-based training system to improve earthquake behavioral responses and post-earthquake evacuation preparedness. Auckland City Hospital was chosen as a case study to test our IVR SG training system. A set of training objectives based on best evacuation practice has been identified and embedded into several training scenarios of the IVR SG. Hospital staff (healthcare and administrative professionals) and visitors were recruited as participants to be exposed to these training scenarios. Participants’ preparedness has been measured along two dimensions: 1) Knowledge about best evacuation practice; 2) Self-efficacy in dealing with earthquake emergencies. Assessment results showed that there was a significant knowledge and self-efficacy increase after the training. In addition, participants acknowledged that it was easy, helpful, and engaging to learn best evacuation practice knowledge through the IVR SG training system.     

青海省格尔木市西大滩东多金属矿控矿因素及找矿前景

青海省格尔木市西大滩东多金属矿出露地层主要为早-中三叠世昌马河地层走向呈北西~南东向,与区域构造线方向基本一致。是测区的主要矿源层,为后期矿化提供了物质基础。比较发育的北西向、北西西向逆断层具有明显的多期活动特点,多形成破碎带,为热液活动、成矿元素富集提供了良好空间,对本区矿化起着一定的控制作用,破碎蚀变带控制了土壤异常展布。本文对西大滩东多金属矿控矿因素及找矿前景进行分析探讨。     

Smart firefighting construction in China: Status,problems, and reflections

“Smart firefighting” construction as a part of the “smart city” has been a concern of the public security and fire agencies at all levels. In this study, the status, problems, and reflections of “smart firefighting” construction in China are discussed. A recent survey indicates that China has launched its smart firefighting construction and initially created a new perspective on its regional smart firefighting work based on three main aspects: intelligent disaster perception by Internet of Things (IoT) construction, intelligent disaster prevention by big data construction, and intelligent disaster disposal by emergency rescue platform construction. However, the current smart firefighting construction in China still has some prominent problems such as the data interconnectivity and normalized management of various platforms, the extensibility of smart firefighting platforms, and the intelligent level of smart firefighting researches, which need to be solved urgently. Therefore, we argue that smart firefighting construction in China should establish data interconnectivity, industrial normalized management, 2D/3D geographic information interaction and extension, high-integration fire protection theory, and many other aspects in the near future and truly realize firefighting visualization and efficient data applications for 4D time space. This study could provide valuable reference for smart firefighting and smart city construction.     

陆海统筹背景下唐山市资源环境承载力综合评价

十八大以来,海洋产业在沿海地区发展中的作用日益显现,唐山市是一个非典型的沿海城市,海洋开发空间大,在陆海统筹背景下评价资源环境承载力对唐山市陆海统筹发展意义重大。本文以陆海统筹为背景,从资源、环境、社会经济三个角度构建唐山市资源环境承载力指标体系,利用层次分析法确定指标权重,定性、定量地评价唐山市及其沿海区县资源环境承载力。结果表明:2005～2016年唐山市资源环境承载力得分呈上升趋势,2016年得分75分约是2005年的2.6倍,得分年均增速达9.1%;5个沿海区县中,滦南县的承载力状况较优。根据评价结果,提出优化产业结构及提升海洋经济活力、打造沿海城市形象等建议,提升陆海统筹背景下唐山市资源环境承载力。     

临汾市近20年植被覆盖度遥感估算及动态变化分析

植被覆盖度是衡量植被生长状况的指标，对分析评价区域生态环境具有重要意义。以临汾市1998年、2007年和2018年Landsat遥感影像作为数据源，利用ENVI和ARCGIS软件，通过计算归一化植被指数（NDVI）值，利用像元二分模型，对临汾市近20年的植被覆盖度及其动态变化进行分析。分析结果显示:1998年、2007年和2018年临汾市的平均植被覆盖度分别为45.92%、58.76%和60.09%，处于递增的态势。在这20年间，极低覆盖度和低覆盖度的植被面积都有减少，而中等覆盖度、高覆盖度和极高覆盖度的植被面积增加。高覆盖度和低覆盖度的植被面积变化最大，高覆盖度的植被面积增加了3 063.14 km²，约占临汾市总面积的15.21%；低覆盖度的植被面积减少了3 192.38 km²，约占临汾市总面积的15.85%。说明临汾市的生态环境有所改善，这与该区水土保持项目的实施以及封禁治理有关。     

Multivariate analysis of subjective evaluation of indoor lighting environment

Though subjective feelings affected by lighting have been studied a lot, multivariate experimental studies are lacking in this research field. Central composite rotatable design (CCRD) was applied to investigate the influence of illuminance, correlated color temperature (CCT) and illuminance uniformity on satisfaction in this study. A series of subject experiments were carried out and polynomial regression models of luminous satisfaction for different activity scenarios were generated. Illuminance and CCT affected the satisfaction significantly in visual task scenarios, and the effect of them was independent with each other, which was demonstrated by the regression model (R² = 0.89). The variation of luminous satisfaction in general activity scenarios cannot be fully explained by the three investigated factors. The results contributed to the knowledge of multivariate analysis of luminous environment and indicated that much could be expected referring to the application of CCRD in this field.     

基于耦合模型的福州市暴雨内涝研究

以福州市内涝问题为例.通过耦合协调度模型分析了福州市的城市化与水环境耦合关系.并运用综合风险指数评估了福州市内涝风险情况。结果表明.福州市城市化与水环境耦合协调度整体上呈上升趋势,目前已达到优质协调高水平耦合阶段,但城市内涝风险值却不断上升。因此,耦合关系并不能完全表明城市化与水环境的内部矛盾趋势,现阶段仍需注重水环境安全预警能力,预防暴雨内涝的迸发,从而更好地促进城市化与水环境“由外及里,由内而外”的协调发展。     

“灰绿”协同措施对银川市合流制溢流污染的影响EI北大核心CSCD

针对合流制管网系统在雨天溢流污染严重,造成城市水体黑臭现象的问题,以银川市某高密度城区合流制管网系统为例,基于SWMM模型,在短历时设计降雨和长历时设计降雨两种条件下,模拟分析了合流制溢流(CSO)调蓄池、雨污管道混错接改造、绿化带海绵化改造等“灰绿”协同措施对CSO污染的影响。结果表明:CSO调蓄池、雨污管道混错接改造、绿化带海绵化改造及“灰绿”措施结合4种方案在短历时、长历时设计降雨条件下,随着降水量的增加,溢流水量及溢流污染物负荷均增加,溢流削减率均逐渐减小,其中“灰绿”措施结合方案对溢流污染的削减效果最为显著;重现期小于5 a时,溢流水量削减率与溢流污染物负荷削减率基本达到80%;降雨条件为中雨时,污染物负荷削减率基本达到75%;重现期为20 a时,溢流水量削减率及TSS、COD、TP、NH^(+)_(4)-N负荷削减率分别达到64%、70%、70%、70%、70%;降雨条件为大雨时,溢流水量削减率及TSS、COD、TP、NH^(+)_(4)-N负荷削减率分别达到28%、32%、26%、31%、33%。