基于资源环境承载力的全国造纸工业类型区划分研究

本文从造纸行业特征、资源消耗、污染物排放等方面入手,结合区域资源环境承载力,分析行业发展可能带来的环境污染问题.分析造纸行业发展与其所需主要资源间的空间布局关系,明确选定行业发展的资源、环境和生态制约条件.结合造纸行业特点,从环境约束、生态约束和资源约束入手,构建其环境管理类型区划分的指标体系;采用层次分析法、灰色定权聚类分析等方法对分区数据进行必要处理,采用二维判断矩阵法等方法进行环境管理类型区划分,对实施针对造纸行业分区域、分类别、差别化的环境管理提供了决策依据和方法基础.     

我国垃圾分类现状及对策建议

分析目前我国垃圾分类回收中存在的问题,阐述垃圾分类回收处理的必要性和相关对策建议。     

基于快速聚类方法分析常州市区PM2.5的统计特性

运用统计方法研究常州市区2013~2014年6个国控点六项基本污染物(SO_2、NO_2、CO、O_3、PM_(2.5)和PM_(10))月平均浓度变化,结果表明,除O_3外,其它五项污染物月平均浓度夏季较低冬季较高.颗粒物与风速之间的关系为PM_(2.5)浓度随风速的升高一直降低,PM_(10)随风速的升高浓度先降低后升高.采用快速聚类分析(k-means)并运用SWV和DIV指数对六项基本污染物进行分类,得到4个样本分类.与依据颗粒物化学成分或粒径谱对PM进行源解析方法不同,本研究更多是从PM_(2.5)与其它污染物相关关系以及污染程度等角度按照欧式距离进行分类.不同类中PM_(2.5)来源明显不同,类1中PM_(2.5)与化石燃料燃烧排放密切相关,类2与O_3密切相关,类3与城市不完全燃烧排放、区域灰霾污染密切相关,类4可以归类于城市"背景"类.快速聚类分析结果也表明常州市区PM_(2.5)有着复杂的来源.     

合肥城郊典型源头溪流不同渠道形态的氮磷滞留特征

为揭示源头溪流中深潭和曲折沟渠两种典型渠道形态的氮磷养分滞留特征,在合肥城郊二十埠河的某一级支流上,以NH4Cl和KH2PO4为添加营养盐,以NaCl为保守型示踪剂,开展现场示踪实验.在此基础上,利用OTIS模型软件、暂态存储参数和养分螺旋原理,解析深潭和曲折沟渠氮磷滞留特征.结果表明:1深潭的As值较曲折沟渠大,但其α值则较弯曲沟渠小1个数量级,而且As和α值随水文条件变化均不显著;2深潭中主渠道流动水体的NH+4-λ较其暂态存储区的NH+4-λs高2~3个数量级,曲折沟渠的NH+4-λ与NH+4-λs数值较为接近;3深潭中NH+4-Vf较SRP-Vf高1~2个数量级,而在曲折沟渠中,不仅NH+4-Vf与SRP-Vf数值较为相近,NH+4-Sw与SRP-Sw也基本相当;4深潭的NH+4-U较SRP-U高出2~3个数量级,曲折沟渠NH+4-U则较SRP-U高出1~2个数量级;5总的来说,在对NH+4和SRP滞留影响方面,深潭和曲折沟渠存在较大的差异性,且在深潭中NH+4的滞留效应显著超过SRP.     

中国人口集疏格局与形成机制研究

人口集聚和疏散是人口空间分布格局最直观和最集中的体现,基于人口集聚度的中国人口集疏的空间格局和形成机制的研究,有助于准确把握中国人口空间分布的基本脉络,具有重要的学术价值和实践意义。研究采用了人口集聚度分级评价的方法,依据人口集聚度的不同,将各个地区划分为不同等级的人口集聚区,并对其分别讨论。在此基础上,结合中国人口分布格局、自然条件的空间分布格局、人居环境自然适宜性评价结果以及经济发展格局和城市化格局,对中国的人口集疏的空间格局进行了归纳,并进一步对相应的形成机制进行了探讨,得出了我国人口分布的空间不平衡日益加剧,并呈现沿海、沿江、沿线集聚的态势的基本结论,并对我国人口分布集疏格局的形成进行了探讨,提出了自然因素奠定我国人口分布的基本格局,而经济发展不平衡与城市化成为人口集聚的动力的观点。     

Recent Changes in Stream Flashiness and Flooding,and Effects of Flood Management in North Carolina and Virginia

The southeastern United States has undergone anthropogenic changes in landscape structure, with the potential to increase (e.g., urbanization) and decrease (e.g., reservoir construction) stream flashiness and flooding. Assessment of the outcome of such change can provide insight into the efficacy of current strategies and policies to manage water resources. We (1) examined trends in precipitation, floods, and stream flashiness and (2) assessed the relative influence of land cover and flow‐regulating features (e.g., best management practices and artificial water bodies) on stream flashiness from 1991 to 2013. We found mean annual precipitation decreased, which coincided with decreasing trends in floods. In contrast, stream flashiness, overall, showed an increasing trend during the period of study. However, upon closer examination, 20 watersheds showed stable stream flashiness, whereas 5 increased and 6 decreased in flashiness. Urban watersheds were among those that increased or decreased in flashiness. Watersheds that increased in stream flashiness gained more urban cover, lost more forested cover and had fewer best management practices installed than urban watersheds that decreased in stream flashiness. We found best management practices are more effective than artificial water bodies in regulating flashy floods. Flashiness index is a valuable and straightforward metric to characterize changes in streamflow and help to assess the efficacy of management interventions.     

Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm

In this paper, wind energy potential of four locations in Xinjiang region is assessed. The Weibull distribution as well as the Logistic and the Lognormal distributions are applied to describe the distributions of the wind speed at different heights. In determining the parameters in the Weibull distribution, four intelligent parameter optimization approaches including the differential evolutionary, the particle swarm optimization, and two other approaches derived from these two algorithms and combined advantages of these two approaches are employed. Then the optimal distribution is chosen through the Chi-square error (CSE), the Kolmogorov–Smirnov test error (KSE), and the root mean square error (RMSE) criteria. However, it is found that the variation range of some criteria is quite large, thus these criteria are analyzed and evaluated both from the anomalous values and by the K-means clustering method. Anomaly observation results have shown that the CSE is the first one should be considered to be eliminated from the consequent optimal distribution function selection. This idea is further confirmed by the K-means clustering algorithm, by which the CSE is clustered into a different group with KSE and RMSE. Therefore, only the reserved two error evaluation criteria are utilized to evaluate the wind power potential.     

How Green is Too Green? Public Opinion of What Constitutes Undesirable Algae Levels in Streams1

Abstract: A public opinion survey was carried out in Montana to ascertain if the public identifies a level of benthic (bottom‐attached) river and stream algae that is undesirable for recreation. The survey had two parts; an On‐River survey and a By‐Mail survey. The On‐River survey was conducted via 44 trips randomly scheduled throughout the state during which recreators were interviewed in‐person at the stream. Selection of stream segments and survey dates/times was based on known, statewide recreational use patterns. By‐Mail survey forms were sent to 2,000 individuals randomly selected from Montana’s Centralized Voter File (CVF) available from the Montana Secretary of State. The CVF was current through 2004 and represented over 85% of the state’s eligible voting population. In both surveys, eight randomly ordered photographs depicting varying levels of stream benthic algae were presented, and participants were asked if the algae level shown was desirable or undesirable for recreation. Survey form design, selection of photographs, and pretesting followed acceptable protocols that limited unintentional bias through survey execution. There were 433 returned forms (389 complete) for the By‐Mail survey, while the On‐River survey documented 563 interviews. In both surveys, as benthic algal chlorophyll a (Chl a) levels increased, desirability for recreation decreased. (Other measures of benthic algae biomass are presented as well.) For the public majority, mean benthic Chl a levels ≥200 mg/m² were determined to be undesirable for recreation, whereas mean levels ≤150 mg Chl a/m² were found to be desirable. Error rates were within the survey’s statistical design criteria (≤5%). The largest potential error source was nonresponse in the By‐Mail survey; however, the population represented by nonrespondents would have to exhibit profoundly different perceptions of river and stream algae to meaningfully alter the results. Results support earlier work in the literature suggesting 150 mg Chl a/m² represents a benthic algae nuisance threshold.     

国内外空气污染指数的现状及发展趋势

针对中国目前使用的空气污染指数(Air Pollution Index,API)中存在的问题,通过比较国内外空气污染指数在基本概念、级别限值和等级划分等方面的区别,结合中国的实际情况,提出了增加监测指标、提高发布效率、优化统计模型等改进意见。     

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.