流域横向生态补偿政策的水环境效益评估

基于2000~2019年浙江和安徽26个地级市的面板数据,使用合成控制法定量分析新安江3轮横向生态补偿试点政策对其水环境效益的总体性和结构性影响结果表明:政策效果在时间上存在异质性。第1、2轮政策试点显著的提升了新安江流域整体的水环境,但第3轮试点对上游水环境的影响是负的。政策效果在空间上存在异质性。流域横向生态补偿政策使下游的生物多样性价值平均提高了0.068亿元,但使上游生物多样性价值平均降低了0.015亿元。政策效果在结构上存在异质性。通过对水环境效益的结构性分解,发现横向生态补偿政策使新安江流域的水质净化能力价值平均提高了31.874亿元,但使其产品供给价值平均下降了13.402亿元。政策效果存在预期效益。流域横向生态补偿的政策效果在政策正式实施前2年已经出现。     

基于内容分析法的河流健康内涵及表征

运用内容分析法对近10~15年中外文献中有影响力的36个河流健康概念进行分析,经过样本选取、指标提取、量化处理等过程提炼出最频繁出现的能代表其内涵的6个标准,即：维持结构完整性、自然生态功能发挥、满足人类社会合理需求、处于良好状态、河流管理工具和目标、建立河流基准状态。基于此,对河流健康概念进行了重新架构：河流健康是指河流生态系统特定的良好状况,可以作为河流基准状态以及河流管理的目标,在这一状态下,河流生态系统能够维持其生态系统结构完整性,充分发挥其自然生态功能,并满足人类社会合理需求,提供相应的社会服务功能。通过对30个有关河流健康表征指标及评价方法的文献进行分析,识别生物指标、水质参数、形态结构、河床底质、水文条件以及河岸带状况等是目前使用最广泛的6个指标,指出河流健康的表征指标及评价标准应根据区域特征、人类活动影响以及功能定位而有所差异。     

福州市城市生活垃圾管理体制与政策措施探讨

城市生活垃圾这个与城市“相伴生”的长期污染源,必须得到及时、科学、妥善的处理。福州市目前对城市生活垃圾的治理存在“重末端处理、轻源头控制”,在垃圾末端无害化上陷于被动,却缺少“清洁生产”的理念,“减量化、资源化”未得到应有的重视。本文针对福州市垃圾管理体制与政策上的弊端,强调垃圾的产生、收集、运输、处理等全过程实现全面的、综合的、封闭式管理,探讨法律、经济、管理三位一体的城市生活垃圾管理政策,保障城市可持续发展。     

流域开发的外部性及其内部化

流域是地表水的集水区域。流域问题的本质是水。水是可持续发展的基础和条件，是环境与发展问题的核心。流域开发是以水资源为先导和主体的综合资源开发。实现流域经济可持续发展实质就是实现流域水资源可持续开发和利用。外部性是流域开发的基本特征，水资源的特性决定了流域开发的外部性。实现流域开发的外部性内部化是流域经济可持续发展的关键。实现流域开发外部性内部化，必须界定流域资源产权，明确流域开发主体；建立税收－补贴体系，对水资源合理定价；坚持“排污者付费原则”；建立流域水资源市场，实现水资源资产化管理。同时，政府要加强流域的管理；建立健全水资源保护与流域开发的法律体系；普及保护环境和水资源的教育，建立节水观念；支持和鼓励流域开发企业实行外部成本内部化措施；调整产业结构，深化国有企业改革。     

快速城镇化进程中城市河流污染治理问题研究

城市河流是城市的生命线,对于当地经济发展和居民身心健康均有不可替代的重要作用。通过分析我国城市河流污染的总体现状发现,我国城市河流治污面临着城市化进程、区域利益分化、职能部门能力缺失等困境,以此为前提,分别从树立正确的城市河流治污观念、设立流域综合管理机构、预防为主和防控结合、建立科学合理的城市河流生态系统修复模式几方面提出完善对策。     

浅谈秦皇岛外语语言软环境的优化策略

秦皇岛作为著名的沿海旅游城市,外语语言环境作为旅游软环境的一个重要因素直接影响着整个旅游产业的综合竞争力。鉴于此,对秦皇岛市外语语言软环境进行调查摸底。调查结果表明,旅游景区标示语及城市公示语的翻译存在不同程度的问题,旅游从业人员总体素质不高,市民的外语能力普遍偏低。以调查结果为依托,从政府导向、行业把关、全民参与三方面提出了优化秦皇岛市旅游业外语语言软环境的建议。     

Uncertainty Models for Estimates of Physical Characteristics of River Segments Over Large Areas

Spatially comprehensive estimates of the physical characteristics of river segments over large areas are required in many large‐scale analyses of river systems and for the management of multiple basins. Remote sensing and modeling are often used to estimate river characteristics over large areas, but the uncertainties associated with these estimates and their dependence on the physical characteristics of the segments and their catchments are seldom quantified. Using test data with varying degrees of independence, we derived analytical models of the uncertainty associated with estimates of upstream catchment area (CA), segment slope, and mean annual discharge for all river segments of a digital representation of the hydrographic network of France. Although there were strong relationships between our test data and estimates at the scale of France, there were also large relative local uncertainties, which varied with the physical characteristics of the segments and their catchments. Discharge and CA were relatively uncertain where discharge was low and catchments were small. Discharge uncertainty also increased in catchments with large rainfall events and low minimum temperature. The uncertainty of segment slope was strongly related to segment length. Our uncertainty models were consistent across large regions of France, suggesting some degree of generality. Their analytical formulation should facilitate their use in large‐scale ecological studies and simulation models.     

基于突变级数法的武汉市农地利用绩效评价及影响因素分析

根据突变级数法基本原理,对武汉市2002-2011年农地利用绩效动态变化情况进行分析,并利用障碍度模型找出影响其绩效水平的主要障碍因子.研究结果表明,研究时段内武汉市农地利用绩效整体呈上升趋势,且带有明显的阶段性特征;经济绩效是影响农地利用绩效的最主要障碍因素;从单项指标来看,随着生态理念的不断深化,未来农地利用程度及资源安全将对农地利用绩效产生较大影响.     

城中村雨水污水完善改造方案浅析

结合深圳盐田区城中村污水完善改造设计及施工服务中所遇到的问题,提出为彻底解除雨水污水混流现象而采取的措施和方法,以作为今后城中村雨水污水分流制改造过程中的借鉴或参考。     

Dramatic decline of observed atmospheric CO2 and CH4 during the COVID-19 lockdown over the Yangtze River Delta of China

The temporal variation of greenhouse gas concentrations in China during the COVID-19 lockdown in China is analyzed in this work using high resolution measurements of near surface △CO₂, △CH₄ and △CO concentrations above the background conditions at Lin'an station (LAN), a regional background station in the Yangtze River Delta region. During the pre-lockdown observational period (IOP-1), both △CO₂ and △CH₄ exhibited a significant increasing trend relative to the 2011-2019 climatological mean. The reduction of △CO₂, △CH₄ and △CO during the lockdown observational period (IOP-2) (which also coincided with the Chinese New Year Holiday) reached up to 15.0 ppm, 14.2 ppb and 146.8 ppb, respectively, and a reduction of △CO₂/△CO probably due to a dramatic reduction from industrial emissions. △CO₂, △CH₄ and △CO were observed to keep declining during the post-lockdown easing phase (IOP-3), which is the synthetic result of lower than normal CO₂ emissions from rural regions around LAN coupled with strong uptake of the terrestrial ecosystem. Interestingly, the trend reversed to gradual increase for all species during the later easing phase (IOP-4), with △CO₂/△CO constantly increasing from IOP-2 to IOP-3 and finally IOP-4, consistent with recovery in industrial emissions associated with the staged resumption of economic activity. On average, △CO₂ declined sharply throughout the days during IOP-2 but increased gradually throughout the days during IOP-4. The findings showcase the significant role of emission reduction in accounting for the dramatic changes in measured atmospheric △CO₂ and △CH₄ associated with the COVID-19 lockdown and recovery.