扎龙湿地龙湖重金属污染情况及其潜在生态风险评价

为了探讨龙湖中重金属污染情况,测定了龙湖中9个取样点的重金属元素含量,并从中选取Mn、Cu、Pb、As 4种重金属元素进行水质评价。通过灰色关联评价分析,所采集的9个样点中有8个样点都属于Ⅴ类水质、1个样点属于Ⅳ水质。采用Hakanson潜在生态风险指数法对龙湖沉积物进行重金属潜在生态风险评价分析,4种重金属的潜在风险顺序为Cu>As>Pb>Mn,其中每个样点的Cu元素都达到了极强的潜在生态危害,As元素的潜在生态危害程度都达到了强度生态危害。     

公路路网建设项目声环境影响评价研究

以甘肃省某市新区基础设施建设中的路网建设为例,根据公路路网的交通参数、道路地形地貌条件、路面设施等,利用导则推荐模式预测路网噪声贡献值。该新区路网中道路距离多在500m以上,不论道路平行还是相交,噪声影响以主干道为主,以次干道为辅,相互影响;根据路网噪声环境影响的特点,提出切实可行的声环境影响减缓措施。     

安徽省近10年能源足迹测度及驱动因子分析

安徽省为生态建设省,随着中部崛起战略与皖江城市带承接产业转移示范区建设的实施,能源消费给当地生态环境形成了较大压力. 依据生态足迹模型对安徽省2000—2009年能源足迹进行了时间序列测度,基于STIRPAT模型揭示了能源足迹驱动因子的边际贡献,运用灰色GM(1,1)模型预测了2015年与2020年能源足迹. 结果表明:安徽省人均能源足迹由2000年的0500 8 hm2增至2009年的1043 5 hm2,人均能源足迹赤字由2000年的0432 9 hm2扩至2009年的0975 5 hm2;煤炭足迹对能源足迹平均贡献率为7629%,占主导地位;能源足迹强度由2000年的1083 3 hm2104元降至2009年的0704 7 hm2104元;研究时段内,能源足迹生态压力指数均大于5 人均GDP和第二产业在经济中所比例均与能源足迹呈正相关,二者边际弹性系数分别为0000 073 57和0006;而单位工业增加值能耗与能源足迹呈负相关,其边际弹性系数为-0186.      

重庆大气汞人为排放及其预测

利用排放因子法和灰色预测法对重庆大气汞人为排放进行了研究. 重庆大气汞人为排放量从1997年的6.18 t增加到2008年的13.47 t. 重庆自1997年成为直辖市以来,大气汞排放量累计达99.76 t,年均增长率为9.82%,其中燃煤和水泥生产汞排放量分别达58.34和22.37 t. 以1997─2008年重庆大气汞人为排放数据为依据,运用灰色系统理论建立GM(1,1)大气汞人为排放预测模型,预测了2009─2015年重庆大气汞排放趋势. 如果不采取控制措施,预计2015年重庆大气汞人为排放量约30.92 t,年均增长率将高达16.20%.      

区域声环境质量污染水平预测方法评价与对比研究

为完成北京市“十二五”城市区域的主要声污染防治工作目标,全面提高北京市声环境质量水平,科学预测区域内在“十二五”期间噪声污染水平和发展趋势,本文以北京市某典型区域作为研究对象,在收集大量相关资料与实测历史噪声数据的基础上,运用指数平滑法与灰色模型GM（1,1）对所选定研究区域的噪声污染水平与发展趋势进行预测与分析。研究结果表明：运用指数平滑法与灰色模型对研究区域声环境噪声污染预测是可行的,北京市在“十二五”期间声环境质量水平符合《声环境质量标准》（GB3096—2008）中的一类区域标准。     

Using Paleo Reconstructions to Improve Streamflow Forecast Lead Time in the Western United States

In water stressed regions, water managers are exploring new horizons that would help in long‐range streamflow forecasts. Oceanic‐atmospheric oscillations have been shown to influence streamflow variability. In this study, long‐lead time streamflow forecasts are made using a multiclass kernel‐based data‐driven support vector machine (SVM) model. The extended streamflow records based on tree ring reconstructions were used to provide a longer time series data. Reconstructed data were used from 1658 to 1952 and the instrumental record was used from 1953 to 2007. Reconstructions for oceanic‐atmospheric oscillations included the El Niño‐Southern Oscillation, Pacific Decadal Oscillation, Atlantic Multidecadal Oscillation, and North Atlantic Oscillation. Streamflow forecasts using all four oscillations were made with one‐year to five‐year lead times for 21 gages in the western United States. This is the first study that uses both instrumental and reconstructed data of oscillations in SVM model to improve streamflow forecast lead time. SVM model was able to provide “satisfactory” to “very good” forecasts with one‐ to five‐year lead time for the selected gages. The use of all the oscillation indices helped in achieving better predictability compared to using individual oscillations. The SVM modeling results are better when compared with multiple linear regression model forecasts. The findings are statistical in nature and are expected to be useful for long‐term water resources planning and management.     

基于G1-VPRS-MIE多层次灰色理论的引水明渠运行风险评价

引水明渠的安全运行风险评价对减少和预防其在输水运行过程中的灾害发生、提高其在运营期间的社会经济效益具有重要的意义。为了对引水明渠在运行期间的风险进行合理赋权和评价,通过科学合理的方法构建了多指标参数的明渠运行风险影响因素指标体系,包括主体结构风险、自然风险、水污染风险、组织管理风险和运行调度风险5个风险因子子系统及20个二级指标在内的评价指标体系;运用G1和VPRS法分别确定各指标的主观权重和客观权重,结合MIE理论优化指标权重;根据明渠工程的运行特点,选取多层次灰色理论计算引水明渠运行风险值,并根据相关规范和安全风险评价实践确定风险评价等级。将该模型应用于引大入秦工程中,结果表明:采用序关系分析法(G1法)和变精度粗糙集理论(VPRS)并结合最小信息熵原理(MIE)的权重确定方法(G1-VPRS-MIE),不但避免了层次分析法过度依赖专家的主观经验、克服了粗糙集理论在边界刻画的局限性,而且弥补了主观和客观方法相结合的不足;对于指标权重的确定更加客观合理,既能满足所得权重的客观性,也能保证评估结果具有一定的解释性,同时能够减少单一权重计算的偏差;多层次灰色评价模型对于引水明渠安全运行风险等级的确定较为有效,并得出其风险等级为中等偏高,与实际情况一致。研究成果为引水明渠工程安全运行提供了一定的参考,同时可为类似气候环境的引水明渠区域规划、设计、施工提供有效的借鉴。     

回归分析方法在环境领域中的应用评述

回归分析是一种处理变量间相关关系的有效数理统计方法,回归分析模型目前已应用于环境领域的多个方面,并在实际应用中证实了其准确性和可行性。基本回归分析方法有一元线性回归、多元线性回归和逐步回归等,通过概述了这几种基本回归分析方法的原理及其在环境领域中的应用现状,评述了其应用效果,并预测了回归分析技术在环境领域中应用的发展方向;对在众多环境科学与工程研究领域中,更好地发挥回归分析的作用具有很好的参考价值。     

The Economic Effect of Mineral Resources Exploitation in Bijie Prefecture in Guizhou

Abstract

The exploitation of mineral resources plays an important role in promoting national economic development. Mining is an essential component of China’s industrial economy. Using grey correlation method to analyze the correlative effect of mineral resources exploitation to relevant industries, using national income method to calculate the pulling effect of mineral resources exploitation to economic growth and using graphs as well as tables to analyze the income distribution effect, the article obtains active economic effect of mineral resources development in Bijie, Guizhou. Moreover, from the view of resources-cored effect, the article analyzes negative effects such as single industrial structure brought by mineral resource development. Through analysis, we find that mineral resources exploitation to some extent brings active effects including gross domestic product growth, local financial revenue growth and relevant industries development; however, its negative effects should not be ignored. The negative effect can be lightened by diversifying industrial structure and prolonging industrial chain.     

Developing Mechanism of Rubber-tea-chicken Agro-forestry Model in Tropical Area of China

Abstract

As a typical tropical agro-forestry ecosystem in Wenchang, Hainan Province, China, rational mechanisms of the rubber-tea-chicken eco-agricultural model were studied with the Solow technological level index, stability indicator, harmonizing coefficient, grey correlation coefficient and production dominance. This study focused on rational hierarchical structure, the limiting factors and optimal strategies of the model development based on model structure, resource conditions and external market demands. Results showed that rational mechanism of the rubber-tea-chicken ecosystem model mainly included technological contributions, leverage function of dominance component (livestock husbandry), stability of the model structure and harmony of its components, the model dominant product’s market demand and government’s supporting policies. The contributions of fund, technology, information and talent resources played an important role in improving sustainability and productivity of the agro-forestry model.