天堂河河道治理工程水质改善预测分析

河道治理工程重在改善河道的水质,以恢复河流生态系统。本文以北京市大兴区天堂河河道治理工程为例,介绍了河道治理工程环境影响评价中的水质改善预测分析,首先分析生态需水量和供氧量是否满足河流生态需水要求,后又利用地面水环评助手软件预测了河流水质,预测分析了天堂河水质目标的可达性,旨在为以后的河道治理类工程环境影响评价提供参考。     

南充市城郊农村居民的环境法律意识调查与分析

本文通过采用问卷调查和走访调查的方法,对南充市两县三区的城郊农村居民进行了抽样调查。调查结果发现,当地城郊农村居民环境法律“知”的水平中等、个体差异较大,环境法律“行”的水平偏低,“知”与“行”之间存在脱节现象。这与当地城郊农村居民的文化程度和所处地域有关。为此,提出了从“知”和“行”上加强当地城郊农村居民的环境法律知识教育和环境维权意识教育的建议,这也是提高城郊农村居民环境法律意识的途径所在。     

欧美等发达国家水环境监测方法体系

分别简述了美国、欧盟和日本等发达国家或组织水环境监测方法体系发展历程,分析了其各自水环境监测方法体系特点。对中国水环境监测方法体系的制定与实施提出了建议。     

壳牌公司的环境评价技术方法和应用研究

文章从信息收集、环境危害评价、环境影响控制、应急恢复、HSE例卷管理等方面,分析了壳牌公司环境评价的概念和应用领域,总结了壳牌公司环境管理的经验,并据此提出了改进我国石油石化企业环境管理的若干建议。     

杭州市环保系统人才发展现状与对策

对杭州市环保系统的人才总量、学历结构、专业结构、职称结构和年龄结构等方面作了较详细的分析;针对杭州市环保系统存在的人才总量不足、结构分布不合理和高层次人才匮乏等问题,提出了引进高层次人才、加强教育培训、壮大基层队伍等对策。     

我国城镇居民环保事务参与的性别差异分析

从行为参与、管理参与和环境意识三个方面阐述了当前环保事务参与中存在的性别差异问题;从社会结构的视角分析了性别化对环保参与现状的影响。针对存在的问题和制约因素,从社会系统、社会资源和环境意识三个方面提出发展建议。     

环境公害的本土化解读与法律应对——以四川藏区矿产资源开发公害为对象

以四川藏区矿产资源的开发利用为研究对象,一方面,从环境公害本土化的视角解读四川藏区的资源开发公害问题;另一方面,从法律的价值和应对的视角对资源开发公害问题进行法律规制,以期对四川藏区生态环境的保护有所裨益。     

基于因子分析和聚类分析的江苏十三市环境保护评价研究

本文根据工业废水排放量、工业二氧化硫排放量、工业烟尘排放量、工业废水排放达标率、工业固体废物综合利用率5个指标的统计数据,运用因子分析和聚类分析,对江苏13个市的环境保护状况进行评价,并将其分成5个不同的类别,第1类是苏州,第2类是南京,第3类包括无锡、南通、常州,第4类包括徐州、扬州、泰州、淮安、宿迁,第5类包括盐城、镇江、连云港,然后进一步对各类城市在污染强度和污染控制方面的特征进行分析。最后,分别对每类地区的环境保护提出对策建议。     

A case study of REDD+ challenges in the post‐2012 climate regime: The scenarios approach

The REDD+ (Reducing Emissions from Deforestation and Forest Degradation) partnership works to promote the reduction of greenhouse gas (GHG) emissions by protecting forests in developing countries through positive incentives. It is regarded as an essential component of the post‐2012 climate regime to stabilize GHG emissions and engage developing countries in worldwide mitigation endeavours. This study focuses on the gap between agricultural revenue and REDD+ compensation through the construction of several scenarios that explore the impacts of possible carbon price ranges.Three scenarios that reflect different potential policies are examined: (1) current carbon trading; (2) carbon trading with all forestry activities; and (3) carbon trading with all countries participating gradually over the coming decades. Data for developing the scenarios were obtained through a case study in central Kalimantan, Indonesia, by interrogating the potential for revenue by expanding agricultural land. The results indicate that REDD+ payments could not effectively compensate land users for their opportunity cost of deforestation, making it difficult for the governments to ensure that REDD+ money “reaches the ground” in terms of balancing the agricultural revenue of land users.     

Prediction of Streamflow Regime and Annual Runoff for Ungauged Basins Using a Distributed Monthly Water Balance Model1

Moore, R.D. (Dan), J.W. Trubilowicz, and J.M. Buttle, 2011. Prediction of Streamflow Regime and Annual Runoff for Ungauged Basins Using a Distributed Monthly Water Balance Model. Journal of the American Water Resources Association (JAWRA) 48(1): 32‐42. DOI: 10.1111/j.1752‐1688.2011.00595.x Abstract: Prediction of streamflow in ungauged basins is a global challenge, but is particularly an issue in physiographically complex regions like British Columbia (BC), Canada. The objective of this study was to assess the accuracy of a simple water balance model that can be run using existing spatial datasets. The model was developed by modifying an existing monthly water balance model to account for interception loss from forest canopy, glacier melt, and evaporation from lakes. The model was run using monthly climate normals from the ClimateBC application, which have a horizontal resolution of 400 m. Each ClimateBC grid cell was classified as forest, open land, glacier or water surface based on provincial scale digital maps of biogeoclimatic zones, glaciers, and water. The output was monthly mean runoff from each grid cell. These values were integrated within the catchment boundaries for streams gauged by the Water Survey of Canada. Annual runoff was predicted with modest accuracy: after updating the predicted runoff by interpolating errors from neighboring gauged streams, the mean absolute error was 25.4% of the gauged value, and 52% of the streams had errors less than 20%. However, the model appears to be quite robust in distinguishing between pluvial, hybrid, and melt‐dominated hydroclimatic regimes, and therefore has promise as a tool for catchment classification.