Development and Use of a Sedimentation Risk Index for Unpaved Road‐Stream Crossings in the Choctawhatchee Watershed1

Abstract: Unpaved road‐stream crossings increase sediment yields in streams and alter channel morphology and stability. Before restoration and sedimentation reduction strategies can be implemented, a priority listing of unpaved road‐stream crossings must be created. The objectives of this study were to develop a sedimentation risk index (SRI) for unpaved road‐stream crossings and to prioritize 125 sites in the Choctawhatchee watershed (southeastern Alabama) using this model. Field surveys involved qualitative and quantitative observations of 73 metrics related to waterway conditions, crossing structures, road approaches, and roadside soil erosion. The road‐stream crossing risk analyses involved elimination of candidate metrics based on redundancy, skewness, lack of data, professional judgment, lack of nonzero values, unbalanced box plots, and limited ranges of values. A final selection of 12 metrics formed the SRI and weighed factors involving soil erodibility, road sedimentation abatement features, and stream morphology alteration. The SRI was organized into narrative categories (excellent, good, fair, poor, and very poor) based on the distribution of scores. No excellent sites (scores ≥55) were found in this study, 17 (20.7%) were good (low sedimentation risk), 37 (45.1%) were fair (moderate sedimentation risk), 26 (31.7%) were poor (high sedimentation risk), and two (2.5%) were very poor (high sedimentation risk). There was no significant difference in SRI scores among crossing structure type (round culverts, box culverts, and bridges) (H = 4.31, df = 2, p = 0.058). A future study of the Choctawhatchee watershed involving the same study sites could assess the success of restoration plans and activities based on site score improvement or decline.     

Development of a Quantitative Pasture Phosphorus Management Tool Using the SWAT Model1

Abstract: Assessment tools to evaluate phosphorus loss from agricultural lands allow conservation planners to evaluate the impact of management decisions on water quality. Available tools to predict phosphorus loss from agricultural fields are either: (1) qualitative indices with limited applicability to address offsite water quality standards, or (2) models which are prohibitively complex for application by most conservation planners. The purpose of this research was to develop a simple interface for a comprehensive hydrologic/water quality model to allow its usage by farmers and conservation planners. The Pasture Phosphorus Management (PPM) Calculator was developed to predict average annual phosphorus (P) losses from pastures under a variety of field conditions and management options. PPM Calculator is a vastly simplified interface for the Soil and Water Assessment Tool (SWAT) model that requires no knowledge of SWAT by the user. PPM Calculator was validated using 33 months of data on four pasture fields in northwestern Arkansas. This tool has been extensively applied in the Lake Eucha/Spavinaw Basin in northeastern Oklahoma and northwestern Arkansas. PPM Calculator allows conservation planners to take advantage of the predictive capacity of a comprehensive hydrologic water quality model typically reserved for use by hydrologists and engineers. This research demonstrates the applicability of existing water quality models in the development of user friendly P management tools.     

A Multilevel Model of the Impact of Farm‐Level Best Management Practices on Phosphorus Runoff1

Abstract: Multilevel or hierarchical models have been applied for a number of years in the social sciences but only relatively recently in the environmental sciences. These models can be developed in either a frequentist or Bayesian context and have similarities to other methods such as empirical Bayes analysis and random coefficients regression. In essence, multilevel models take advantage of the hierarchical structure that exists in many multivariate datasets; for example, water quality measurements may be taken from individual lakes, lakes are located in various climatic zones, lakes may be natural or man‐made, and so on. The groups, or levels, may effectively yield different responses or behaviors (e.g., nutrient load response in lakes) that often make retaining group membership more effective when developing a predictive model than when working with either all of the data together or working separately with the individuals. Here, we develop a multilevel model of the impact of farm level best management practices (BMPs) on phosphorus runoff. The result of this research is a model with parameters which vary with key practice categories and thus may be used to evaluate the effectiveness of these practices on phosphorus runoff. For example, it was found that the effect of fertilizer application rate on farm‐scale phosphorus loss is a function of the application method, the hydrologic soil group, and the land use (crop type). Further, results indicate that the most effective method for controlling fertilizer loss is through soil injection. In summary, the resultant multilevel model can be used to estimate phosphorus loss from farms and hence serve as a useful tool for BMP selection.     

用电解锰阳极泥和含SO_2工业尾气制备硫酸锰

以电解锰阳极泥与电解锌生产中产生的含SO_2尾气为原料,经过反应、浸出、浸出液两次净化和浓缩结晶制备硫酸锰,考察了反应时间、含SO_2尾气的流量及反应温度对Mn~(4+)转化率的影响.实验结果表明:在反应时间45 min、反应温度20～30 ℃、含SO_2尾气流量16 L/min的条件下,Mn~(4+)转化率达90%以上;尾气中SO_2利用率随尾气流量增加而降低;所得MnSO_4·H_2O产品质量达到GB1622-86<工业级硫酸锰标准>.     

江河水源地突发性水污染事故风险评价

近年来,我国江河饮用水水源地突发性水质污染事故频发,成为我国面临的最严重的环境问题之一.江河水源地突发性水质污染事件的风险评价是确保饮用水源地水质安全的重要手段,对突发性水质污染事故,采取适当的应急处理措施.     

信息可视化在化工企业水环境安全影响评价中的研究及应用

运用data system.exe技术,对水环境评价系统功能模块进行设计;提出水环境影响评价信息可视化软件的设计方法;建立水环境污染因子数据信息可视化软件,并应用该软件对石油化工企业的水环境进行了初步的风险评价。结果表明:该软件能在识别污染因子数据信息的同时生成与之相匹配的直观的模拟环境图像,有助于管理者进行及时分析与决策;通过输入水环境污染因子监测值后,系统可以自动判定环境的污染的程度,并把对应环境质量的级别、环境的安全程度以及污染对人体与生物的影响程度在图中显示出来,能够有效地提高环境影响评价的可靠度;评价示意图中的评价因子可以根据需要进行增加或更换,有助于该系统的推广应用,建立的环境污染因子数据信息可视化模型具有很强的适用性。     

高含硫气井分户报警技术研究

设计并介绍分户报警与短信群发结合的报警方式,包括系统采用的布局方法、方案总体设计、整体结构、信息传输网络设计;提出分户报警的新报警策略,并给出分户报警的区域划分方法以及划分的理由和依据。在硬件方面,重点介绍分户警铃的方案,其中包括的两个重要组成部分:无线应急广播发射中心和无线应急广播接收设备;提出采用可寻址智能无线广播的新的技术方法,同时给出建议的设备,总结并分析分户报警系统的功能和特点。通过该警报系统的采用,能大大提高警报通知效率,节省疏散所需的时间。     

铁路运输含硫原油过程中H_2S挥发规律模拟试验研究

以塔河12区含硫原油为研究对象,通过模拟铁路运输原油工况,研究罐内原油中H_2S挥发规律.结果表明,铁路运输过程中原油里H_2S析出浓度与时间的关系近似为6次多项式,并建证了H_2S浓度随时间变化的曲线方程;对影响罐内原油中H_2S挥发的2个主要因素罐内原油温度和罐车振动强度进行了分析.结果表明,罐内原油温度是原油中H_2S挥发的主要影响因素,升高罐内原油温度可以明显增加H_2S的挥发浓度.加大罐车振动强度对原油中H_2S挥发有促进作用,但不明显.     

开放经济、环保财政支出与污染治理——来自中国省级与行业面板数据的经验证据

首先按照各省环保财政支出占GDP比重与按主成分分析法计算的地方环境污染物排放综合指数的排名情况把中国30个省份分成两个区域,区域1环保财政支出污染治理效应较强,区域2环保财政支出污染治理效应较弱。区域1包括北京、海南等14个省市,区域2包括天津、上海等16个省市。其次基于2007—2014年中国省级和行业面板数据,分析开放经济、环保财政支出对污染治理的影响。最后借鉴门限回归模型检验开放经济是否存在环保财政支出与污染治理的门槛效应。结果显示:(1)环境污染物排放存在区域差异和行业差异,区域1呈现出开放程度和污染物排放双低的特征,而区域2则表现为双高特征。制造业、电力、煤气及水的生产和供应业污染物排放较高,采掘业污染物排放年均增长速度最快。(2)样本期内省级和行业面板数据均表明开放经济与环境污染物排放显著负相关,对外开放不是助推环境污染的原因。(3)中国环保财政支出与环境污染物排放显著负相关,环保财政支出具有显著的污染治理效应。(4)开放经济对环保财政支出的污染治理效应具有门槛效应,当进口和出口贸易总额高于门槛值-1.221、-1.016时环保财政支出的污染治理效应很难发挥。(5)以进、出口贸易总额为门槛变量时,有107个观测值低于门槛值,占总观测值的44.58%,其中有59个位于区域1,占55.14%。鉴于此应继续加大环境保护财政支出,进一步提升环保财政专项支出在GDP中所占比重,保持适度的对外开放,优化能源消费结构和实现产业结构升级,全面改善环境质量,提升开放经济下环保财政支出的污染治理效应。     

中国FDI环境效应的再检验

改革开放以来,外商直接投资(FDI)的涌入为中国经济发展注入了新活力,并成为中国经济高速增长的重要引擎之一。然而,随着康菲石油渤海漏油事故、江苏启东王子造纸排污和阿玛尼污染投诉等涉外污染事件报道频出,学术界对于FDI涌入可能带来的负面环境效应表现出一定担忧。现有文献多聚焦于整体层面的FDI环境效应检验,而对其区域差异及原因产生机制的系统探究并不多见。为此,本文从理论判断和命题推演出发,利用2003—2014年中国省际面板数据,以改进熵值法拟合环境污染综合指数,并构建普通面板模型,实证检验了FDI流入对中国环境污染的影响及其区域差异。结果表明,总体而言,"污染光环"假说在中国基本成立,即FDI流入在一定程度上改善了中国环境质量,但不同地区FDI的环境效应有所不同,其主要表现为沿海和内陆地区FDI具有显著的"污染光环"效应,且前者强于后者,而沿边地区FDI具有不明显的"污染天堂"效应。在此基础上,构造面板门槛模型,进一步系统考察了FDI对中国环境污染影响的4种主要吸收能力因素的门槛效应。门槛回归结果表明,FDI对中国环境污染的影响显著存在基于经济发展、环境规制、人力资本和金融发展水平的双门槛效应。经济发展、人力资本和金融发展水平越高,FDI的"污染光环"效应越明显,而适度的环境规制才更有利于FDI环境技术溢出的发挥。基于此,本文建议应进一步全方位地提高对外开放水平,一如既往地积极引进并监督FDI;同时地方政府也需认清地区发展的不平衡性,进而采取差异化的引资政策。