新疆油田污染减排措施与效果分析

针对新疆油田公司的污染减排目标,结合油田实际,剖析了当前制约新疆油田污染减排的主要因素,通过有针对性地实施技术改造、结构调整、清洁生产等措施,取得了显著的污染减排效果,为今后污染减排工作提供了有益的建议。     

MBR技术的发展及应用

介绍了目前MBR的主要类型、膜污染情况、膜清洗方式以及MBR在不同领域的应用情况和工程实例,对MBR技术未来的发展趋势进行了预测。     

我国电力行业CO2减排技术及应用前景分析

阐述了我国燃煤电厂CO2排放现状及趋势,将CO2减排技术分为捕集与封存两个部分进行讨论,介绍了目前主要的CO2捕集与封存技术及其研究进展,并分析了各种技术的特点及其在我国电力行业的应用前景。指出电厂位置、CO2捕集方案及封存方式三者之间是相互影响、相互制约的,其中CO2去向是关键因素,处于不同地理位置的电厂需根据具体情况选择相适应的CO2捕集与封存技术的组合。探讨了各种捕集与封存技术的应用前景,建议由国家相关部门或行业支持,建设国家或行业层面的工业化试验中心或试验台。     

基于DEM的山区旱灾风险评价模型——以西南地区为例

旱灾研究中,地形导致的水热再分配容易造成地域间旱灾灾情的明显差异,因此地形因子对于旱灾风险的准确评价及灾情的客观评估至关重要。采用气象站点观测数据和DEM数据,通过模拟复杂地形影响下的下垫面真实水分情况,加入地形因子的影响,建立了以干旱致灾因子(水分条件)、孕灾环境(地形)、承灾体(农作物脆弱性曲线)综合的旱灾风险评价三度模型;并以地形复杂、旱灾多发的西南地区为例,编制了旱灾风险等级图,以期为客观评估旱灾灾情,有效开展区域旱灾风险防范提供科学依据。     

辽西北地区农业干旱灾害风险评价与风险区划研究

以辽西北29个农业县(市、区)为研究区域,选取辽西北最主要的玉米作物作为研究对象,从造成农业干旱灾害的致灾因子危险性、承灾体暴露性、脆弱性和抗旱减灾能力4个方面着手,利用自然灾害风险指数法、加权综合评价法和层次分析法,建立了农业干旱灾害风险指数(ADRI),用以表征农业干旱灾害风险程度;借助GIS技术,绘制辽西北农业干旱灾害风险评价区划图,将风险评价区划图与2006年辽西北受干旱影响粮食减产系数区划图对比,发现两者可以较好的匹配。研究结果可为当地农业干旱灾害预警、保险,以及有关部门的旱灾管理、减灾决策制定提供理论依据和指导。     

规模效率和技术进步对CO2排放影响的实证

本文利用DEA的方法从全要素生产率中分解出规模效率、技术进步和纯技术效率三个指标,然后基于1998-2008年的省际面板数据分析了不同地区的工业规模效率及技术进步对CO2排放影响的程度及差异化的原因.研究结果显示:从总体来看,技术进步对单位GDP的CO2排放有抑制作用,而规模效率则与CO2排放呈正向关系,但各个地区的情况不同,东中部地区的技术进步对单位GDP的CO2排放起到了抑制作用,东北地区和西部地区的技术进步则对单位GDP的CO2排放起到了促进作用;东中部地区的规模效率对单位GDP CO2排放的影响程度要远小于东部地区和西部地区;产生这些差异的原因可能是与我国区域间技术进步与规模效率所属的种类不同有关,东部地区的技术进步可能属于节能型技术进步,而西部地区则属于耗能型的技术进步;东北地区和西部地区规模效率的提升可能更多地依靠能源消耗,中东部地区则有所改善.     

关于减排技术途径和政策的探讨

通过对发达国家先进的节能减排技术和政策,以及我国现阶段所采取的减排技术政策的分析,通过对我国重点行业二氧化硫和化学需氧量的减排技术现状对策研究,对适合我国减排的技术途径和配套政策进行探讨。     

粤北地区干旱监测及预警方法研究

从农业生产实际出发,引入能够判断作物受旱程度的毛管破裂含水量、凋萎含水量等土壤含水量指标来确定干旱指标,根据土壤水分平衡理论,建立干旱监测预警模型,利用自动站气象资料和降水趋势预报对干旱情况进行判别和分析,并采用Surfer软件对干旱情况进行直观的图形显示.     

Adaptation Bridges and Barriers in Water Planning and Management: Insight from Recent Extreme Droughts in Arizona and Georgia1

Abstract: It is critical to understand the ability of water management to prepare for and respond to the likely increasing duration, frequency, and intensity of droughts brought about by climate variability and change. This article evaluates this ability, or adaptive capacity, within large urban community water systems (CWSs) in Arizona and Georgia. It analyzes interview data on the bridges and barriers to adapting water management approaches in relation to extreme droughts over the past decade. This study not only finds levers for building adaptive capacity that are unique to each state but also identifies several unifying themes that cut across both cases. The interviews also show that a particular bridge or barrier, such as state regulation, is not universally beneficial or detrimental for building adaptive capacity within each state. Such knowledge is useful for improving water and drought management and for understanding how CWSs might prepare for future climate variability and change by removing the barriers and bolstering the bridges in efforts to build adaptive capacity.     

SACRAMENTO RIVER FLOW RECONSTRUCTED TO A.D. 869 FROM TREE RINGS1

ABSTRACT: A time series of annual flow of the Sacramento River, California, is reconstructed to A.D. 869 from tree rings for a long‐term perspective on hydrologic drought. Reconstructions derived by principal components regression of flow on time‐varying subsets of tree‐ring chronologies account for 64 to 81 percent of the flow variance in the 1906 to 1977 calibration period. A Monte Carlo analysis of reconstructed n‐year running means indicates that the gaged record contains examples of drought extremes for averaging periods of perhaps = 6 to 10 years, but not for longer and shorter averaging periods. For example, the estimated probability approaches 1.0 that the flow in A.D. 1580 was lower than the lowest single‐year gaged flow. The tree‐ring record also suggests that persistently high or low flows over 50‐year periods characterize some parts of the long‐term flow history. The results should contribute to sensible water resources planning for the Sacramento Basin and to the methodology of incorporating tree‐ring data in the assessment of the probability of hydrologic drought.