城市建筑垃圾的资源化利用

随着建设项目的增多,建筑垃圾也日益增多。本文对建筑垃圾资源化利用进行了初步分析,重点通过对建筑垃圾的分类研究,提出我国建筑垃圾资源化存在问题及建议。     

Efficiency analysis for organic agricultural producers: the role of soil-improving inputs

Greater emphasis is being placed on indicators of agri-environmental efficiency of organic production systems. Linking environmental measures with profitability measures based on net income is the only way to develop such indicators. A stochastic production frontier model that explicitly incorporates farm decisions about acquiring and managing organic soil-improving inputs is used to measure efficiency. The results confirm that on-farm self-sufficiency in soil-improving inputs is positively related to farm-level efficiency.     

Projected impacts to the production of outdoor recreation opportunities across US state park systems due to the adoption of a domestic climate change mitigation policy

Numerous empirical and simulation-based studies have documented or estimated variable impacts to the economic growth of nation states due to the adoption of domestic climate change mitigation policies. However, few studies have been able to empirically link projected changes in economic growth to the provision of public goods and services. In this research, we couple projected changes in economic growth to US states brought about by the adoption of a domestic climate change mitigation policy with a longitudinal panel dataset detailing the production of outdoor recreation opportunities on lands managed in the public interest. Joining empirical data and simulation-based estimates allow us to better understand how the adoption of a domestic climate change mitigation policy would affect the provision of public goods in the future. We first employ a technical efficiency model and metrics to provide decision makers with evidence of specific areas where operational efficiencies within the nation's state park systems can be improved. We then augment the empirical analysis with simulation-based changes in gross state product (GSP) to estimate changes to the states’ ability to provide outdoor recreation opportunities from 2014 to 2020; the results reveal substantial variability across states. Finally, we explore two potential solutions (increasing GSP or increasing technical efficiency) for addressing the negative impacts on the states’ park systems operating budgets brought about by the adoption of a domestic climate change mitigation policy; the analyses suggest increasing technical efficiency would be the most viable solution if/when the US adopts a greenhouse gas reduction policy.     

Reinforcing the rules or integrating behavioural responses into road planning

Road planning is based on technical rules, know-how acquired from experience and professional expertise. A more ergonomics approach to road planning and safety analyses the psychological procedures used by the drivers. Every intervention on road network has an influence on safety. Increasing the coherency of all the interventions in the same area is the only possible way of producing areas with a better level of security. This paper deals with safety procedures, diagnostics and tools which can be used at different levels of intervention.     

安全投资技术经济分析的研究

在分析安全投资项目特殊性的基础上，提出了较为完整的安全投资技术经济分析方法，为企业进行安全投资决策提供了充分的依据。     

污染源普查动态更新调查技术问题及解决对策分析

深刻剖析了2009年度污染源普查动态更新调查中有关技术层面的种种问题:技术路线不够完善,污染物核算方法不够灵活,产排污系数失真且使用随意,数据审核形同虚设等。针对上述问题,提出了以下对策:修正技术路线,调整污染物核算方法,动态更新产排污系数并约束使用,加强数据审核。技术问题的总结和解决为准确提供"十二五"减排基数和建立"十二五"环境统计技术体系奠定科学基础。     

完善环境监测技术监督体系的思考

阐述了环境监测技术监督的概念及其重要性和必要性,分析了由于认识不到位、手段欠缺、机制不完善等原因而导致的技术监督作用的弱化表现。提出开展环境质量现状、污染源状况、开发区环境质量、环境管理措施绩效、监测科研课题等多项技术监督,利用报告、会议、区域目标考核等形式,建立多部门联动的环境质量分析会机制、项目审批过程的跟踪监测机制、环境管理污染防治的目标考核机制、监察处罚的效果点评机制、环境监测部门内部的资源整合机制,进一步完善技术监督体系。     

山东省环境监测技术演练实践与探讨

在综合分析山东省开展的环境监测技术演练活动基础上,重点探讨了省站开展全省性的多场所、多领域、多参数技术演练活动的组织及考评内容,特别介绍了演练活动考评的形式、内容、安排、标准及要求,总结了开展演练活动的收获与体会,以及发现的问题。     

基于可解释机器学习的青藏高原草地物候变化多因素影响分析

气候变化背景下,青藏高原植被物候发生显著改变.然而,影响物候的水热因素众多,目前较少有研究关注多因素对青藏高原物候的影响效应,导致对青藏高原物候变化机制认识不足.为此,研究通过遥感数据解译,在对2002~2021年青藏高原草地物候时空变化特征分析的基础上,聚焦降水、气温、海拔和土壤等多方面,利用可解释机器学习方法（SHAP）揭示物候变化的主导因素,并量化分析多因素对物候的交互影响.结果表明:①青藏高原分别有56.32 %、67.65 %和65.50 %的草地表现出生长季开始时间（SOS）提前、生长季结束时间（EOS）延迟和生长季长度（LOS）延长趋势;②青藏高原草地SOS和LOS主要受水分条件影响,3月0~10 cm土壤水分对SOS提前和LOS延长起促进作用的范围分别在10~25 kg·m^-2和15~25 kg·m^-2之间,峰值分别在20 kg·m^-2和18 kg·m^-2左右;EOS则主要受温度影响,9月和10月温度越高对EOS延迟促进作用越强,并分别在高于8 ℃和-0.5 ℃时达到峰值;③水热等因素对物候的影响存在非线性交互效应,3月0~10 cm土壤水分达到20 kg·m^-2后,更有利于低降水和低海拔地区SOS提前;10月温度高于0 ℃后较好的水分条件更有利于EOS延迟;3月0~10 cm土壤水分在12~22 kg·m^-2之间时,高降水地区LOS更长.研究表明,可解释机器学习方法可为物候变化的多因素影响定量分析提供一种新的方法.