A Thermodynamic Geography: Night-Time Satellite Imagery as a Proxy Measure of Emergy

Night-time satellite imagery enables the measurement, visualization, and mapping of energy consumption in an area. In this paper, an index of the “sum of lights” as observed by night-time satellite imagery within national boundaries is compared with the emergy of the nations. Emergy is a measure of the solar energy equivalent used, directly or indirectly, to support the processes that characterize the economic activity in a country. Emergy has renewable and non-renewable components. Our results show that the non-renewable component of national emergy use is positively correlated with night-time satellite imagery. This relationship can be used to produce emergy density maps which enable the incorporation of spatially explicit representations of emergy in geographic information systems. The region of Abruzzo (Italy) is used to demonstrate this relationship as a spatially disaggregate case.     

Emerging Tools for Continuous Nutrient Monitoring Networks: Sensors Advancing Science and Water Resources Protection

Sensors and enabling technologies are becoming increasingly important tools for water quality monitoring and associated water resource management decisions. In particular, nutrient sensors are of interest because of the well‐known adverse effects of nutrient enrichment on coastal hypoxia, harmful algal blooms, and impacts to human health. Accurate and timely information on nutrient concentrations and loads is integral to strategies designed to minimize risk to humans and manage the underlying drivers of water quality impairment. Using nitrate sensors as the primary example, we highlight the types of applications in freshwater and coastal environments that are likely to benefit from continuous, real‐time nutrient data. The concurrent emergence of new tools to integrate, manage, and share large datasets is critical to the successful use of nutrient sensors and has made it possible for the field of continuous monitoring to rapidly move forward. We highlight several near‐term opportunities for federal agencies, as well as the broader scientific and management community, that will help accelerate sensor development, build and leverage sites within a national network, and develop open data standards and data management protocols that are key to realizing the benefits of a large‐scale, integrated monitoring network. Investing in these opportunities will provide new information to guide management and policies designed to protect and restore our nation's water resources.     

火电厂自行监测关键问题研究

分析了我国火电厂自行监测的现状及存在的问题,包括监测指标不全、监测频次不足、监测点位代表性不够、信息公开不规范等。从监测方案和信息记录2个方面,针对废气、废水、厂界噪声、周边环境质量等的监测点位、监测指标和监测频次,以及监测信息、生产和污染治理设施运行状况、工业固体废物的记录要求,提出了相应的技术建议。     

环境约束下大都市城郊土地利用结构评价——基于信息熵和非期望产出模型分析

土地利用过程中会产生期望和非期望产出,针对以往土地利用结构评价中忽略环境产生的非期望产出而影响土地利用结构效率真实性问题,以大都市城郊的上海青浦区为例,宏观上,运用信息熵模型对该区2005~2014年土地利用结构有序性进行评价;微观上,运用非期望产出模型测算青浦区研究期间土地利用结构效率,为寻求区域土地利用结构效率损失的原因及改善途径提供参考。结果表明:(1)2005~2014年青浦区土地利用结构信息熵值时序上呈现"M"形变化趋势,空间上由中部向东西两翼递减;(2)2005~2014年青浦区土地利用结构效率变化趋势在时间序列上呈现"W"形变化趋势,空间上由中部的中心城区向东西两翼递减格局;(3)将环境的负产出纳入非期望产出模型进行土地利用结构效率评价,能更加准确的反映土地利用结构效率的真实性;(4)影响青浦区土地利用结构效率水平变化的主要因素为纯技术效率的变化,资源过度消耗和环境污染物排放过量是制约青浦区土地利用结构效率提升的主要原因。针对土地利用结构效率损失的原因及区域差异提出效率提升途径。研究结果可为青浦区土地利用结构优化和可持续发展提供科学借鉴。     

基于数字信息化的消防呼吸气瓶检验管理系统研究与开发

为解决碳纤维缠绕式消防呼吸气瓶检验中因单机作业而存在的检验效率低、检验质量差、受人为因素影响的问题，研究开发基于数字信息化的碳纤维缠绕式消防呼吸气瓶检验管理系统，该检验系统包括消防呼吸气瓶数据库、OA系统、呼吸气瓶检验软件和手机APP。利用二维码技术和计算机网络，实现呼吸气瓶数据库、检验软件、OA约检和报告审核审批系统、手机APP的数据传输。结果表明:该检验管理系统实现了呼吸气瓶检验的无纸化、过程的可追溯性、检验结果的防伪性等功能，其对于碳纤维缠绕式消防呼吸气瓶检验具有较强的适用性和可行性。     

Modeling urban solar energy with high spatiotemporal resolution: A case study in Toronto,Canada

This research presents a method to determine the maximum potential for the capturing of solar radiation on the rooftop of buildings in an urban environment. This involves the modeling of solar energy potential and comparison to historical building energy demand profiles through the use of 3-D solar simulation software tools and geographic information systems (GIS). The objective is to accurately identify the amount of surface area that is suitable for solar photovoltaic (PV) installations and to estimate the hourly PV electricity generation potential of existing building rooftops in an urban environment. This study demonstrates a viable approach for modeling urban solar energy and offers valuable information for electricity distributors, policy makers, and urban energy planners to facilitate the substantial design of a green built environment. The developed methodology is comprised of three main sections: (1) determination of suitable rooftop area, (2) determination of the amount of incident solar radiation available per rooftop, and (3) estimation of hourly solar PV electricity generation potential. A case study was performed using this method for Ryerson University, located in Toronto, Canada. It was found that solar PV could supply up to 19% of the study area’s electricity demands during peak consumption hours. The potential benefits of solar PV was also estimated based upon hourly greenhouse gas emission intensity factors as well as Time-of-Use (TOU) savings through the Ontario Feed-in-Tariff (FIT) program, which allows for better representation of the positive impacts of solar technologies.     

企业环境管理制度优化及其信息系统框架设计研究

污染源大数据是环保大数据的重要组成部分,然而在以环境管理制度为基础的污染源数据管理过程中,一直存在制度衔接不流畅、数据不共享等诸多问题。本文调研考察了现有各项环境管理制度的衔接情况,提出以排污许可制度为核心,通过与其他环境管理制度有效衔接,实现环境管理的各个环节的有效覆盖。通过SWOT分析法对基于"一证式"改革的环境管理制度优化方案的可行性和必要性进行了深入分析,并以排污许可证为核心,设计企业环境管理信息系统框架。试生产与竣工环保验收实效不足,可转为企业自行备案;将环评审批结论纳入排污许可证,可大幅度减轻企业相关环境管理业务人员的负担。环境管理制度的优化必须建立在部门职能转变与整合之上;同时,还必须获得国家层面的立法与行政的支持;社会舆论的关注与支持也将推动环境管理制度优化的进程。以排污许可证管理为核心的信息系统框架可以有效实现污染源排放信息整合共享。     

Mowers versus growers: Riparian buffer management in the Southern Blue Ridge Mountains,USA

Despite long-standing knowledge of the benefits of riparian buffers for mitigating nonpoint source pollution, many streams are unprotected by buffers. Even landowners who understand ecological values of buffers mow riparian vegetation to the streambank. Do trends in rural riparian conditions reflect the development of riparian forest science? What motivates residential riparian management actions? Using high-resolution orthoimagery, we quantified riparian conditions and trends between 1998 and 2015 in the rural upper Little Tennessee River basin in Macon County, North Carolina and explored how landowners view riparian zone management and riparian restoration programs. Buffer composition in 2015 was as follows: no buffer (32.5%), narrow (19.3%), forested (26.7%), shrub (7.2%), and intermediate (7.0%). Relative to 1998, the greatest decrease occurred in the no buffer class (−17.7%, 46 km) and the largest increases occurred in the shrub (+72.5%, 20 km) and narrow (12.6%, 14 km) classes. Forested buffer marginally increased. Semi-structured interview data suggest that landowners prioritize recreational and scenic aspects of riparian buffers over ecological functions such as filtration and bank stabilization. Riparian restoration programs might be made more enticing to non-adopters if outreach language appealed to landowner priorities, design elements demonstrated intentional management, and program managers highlighted areas where ecological goals and landowner values align.     

于GRI体系的机场企业环境信息披露研究

机场作为民航运输的关键节点和重要枢纽，肩负着服务区域经济的重要使命，同时也面临环境保护与可持续发展的巨大挑战。作为公共基础设施和城市形象窗口，机场上市公司具有披露环境信息的义务与责任。在充分研究国内机场上市公司环境信息披露制度背景的基础上，本研究借鉴全球报告倡议组织（GRI）发布的《可持续发展报告指南》（第四版）及机场运营者行业补充（GRI-AOSS）构建了适用于我国机场的环境信息披露评价指标体系，并利用公开数据对国内6家机场上市公司的环境信息披露情况进行了实际测评。结果表明：我国机场环境信息披露程度较低，存在内容简单、量化不足、质量下降等问题。机场上市公司环境信息披露亟待在法律法规层面进行系统规范。建议借鉴GRI等相关国际标准及成功经验，制定适用于我国的科学可行的环境信息披露标准和制度体系。     

驾驶员注意涣散检测技术研究

通过对注意涣散时驾驶员头部运动及面部表情变化特征的分析,系统实时监测驾驶员眼睛、嘴巴位置和运动状态信息,构建驾驶员注意涣散特征表征参量,实现对驾驶员注意涣散状态信息的检测与提取。驾驶员注意涣散表征量具有复杂的非线性特征,利用BP神经网络非线性识别的优势对驾驶员注意特征进行模式分类,实现驾驶员不同注意涣散状态下的特征捕捉。同时采用Dempster-Shafer证据推理技术,对驾驶注意涣散多源表征信息进行决策融合,实现对驾驶员注意涣散状态的判断。结果表明,BP神经网络与D-S规则多源信息决策融合技术的运用提高了驾驶员注意涣散特征检测的准确性和可靠性。