西藏四江流域自然保护区规划设计研究

针对西藏四江流域自然保护区生态保护与经济的和谐发展,研究了相关影响因子模型,通过调整相关影响因子,就可以在土地利用图的基础上对四江流域自然保护区内核心区、缓冲区、发展区作一个合理的规划。     

中国工业废水污染状况及影响因素分析

文章基于我国“九五”和“十五”期间全国工业废水及主要污染物排放量,探讨了工业废水排放变化规律,对工业行业结构、工业经济规模增长速度、工业水重复利用率以及环境治理投资的年度变化趋势进行对比,并进一步利用最小二乘回归模型进行了多元线性回归,分析了这些因素对工业废水排放量影响的相关关系,结果表明改进工艺技术、提高水重复利用率至关重要,就如何减轻工业废水的污染提出了建议。     

煤与瓦斯突出影响因素评价分析的模糊层次分析方法

采用模糊层次分析法(FAHP),建立煤与瓦斯突出模糊层次分析模型,并进行分析计算。依据模糊层次分析法,选择影响平煤集团12矿己组煤层煤与瓦斯突出的主要因素,确定各因素的权重系数,并对其进行分析、排序,最后进行综合评定煤与瓦斯突出的影响因素。结果表明:地应力D,地质构造T,煤层瓦斯压力P等是影响该矿己组煤层煤与瓦斯突出的主要因素。该FAHP的应用为制定相应的煤与瓦斯突出防治措施,提供了科学的理论依据和切合实际的评价方法。     

稻壳基活性炭的制备及其对亚甲基蓝吸附的研究

以稻壳为原料,采用K2CO3活化法和H3P04活化法制备了比表面积为1312m^2／g和682m^2／g的活性炭,通过扫描电子显微镜（SEM）、X-射线衍射仪（XRD）对样品进行了表征,并将孔隙发达的活性炭样品用于对亚甲基蓝的吸附,结果表明,K2CO3活化法制备的活性炭样品具有更多的微孔结构;随着亚甲基蓝溶液初始浓度的增加、活性炭吸附时间的延长,亚甲基蓝的去除率呈现逐渐降低和逐渐增大的变化规律,当pH值为6时,活性炭对亚甲基蓝的吸附效果最佳;稻壳基活性炭对亚甲基蓝的吸附等温线符合Langmuir模型,Qm最高可达476．2mg／g;热力学参数△G^0△H^0和△S^0均为负值,表明稻壳基活性炭对亚甲基蓝的吸附是一个自发的放热反应。     

山东及邻近地区中小地震震源参数的测定

采用谱分析方法,利用山东数字地震台网的观测资料,计算了2004～2007年期间山东地区44次3级以上地震的波谱,估算了地震矩、拐角频率、应力降、震源破裂半径,讨论了各震源参数之间的相互关系以及拐角频率的时间分布特征。分析结果表明,地震矩与震级、地震矩与拐角频率、地震矩与震源破裂半径有明显的依赖关系。     

巨型减振结构体系风振效应的参数影响研究

巨型结构风激振动特性非常复杂,其动力性能受多种参数的影响。为合理考虑这些因素的影响,以某48层巨型钢结构为研究对象,针对无控、设置粘滞阻尼器和粘弹性阻尼器三种分析工况,系统研究了其在平均风和脉动风荷载共同作用下的动力响应。通过结构顺风向侧移响应、构件内力响应及顶层加速度响应等一系列数据,揭示了风速攻角、基本风压、附加阻尼比及二阶效应等对此类结构体系风振控制动力性能的影响规律与变化趋势,并依据分析结果对其抗风分析与设计提出了相应的建议,因而具有实用参考价值。     

Integrating Modeling and Field Experiments to Evaluate Impacts of Vegetative Practices on Ponderosa Pine Watersheds1

Abstract: Determining watershed response to vegetation treatment has been the subject of numerous hydrologic studies over the years. However, generalizing the information obtained from traditional paired‐watershed studies to other watersheds in a region is problematic because of the empirical nature of such studies and the context dependence of hydrologic responses. This paper addresses the issue of generalizing hydrologic information through integration of process‐based modeling and field observations from small‐scale watershed experiments. To this end, the results from application of a process‐based model were compared with the results from small‐scale watershed experiments in ponderosa pine forests of Arizona. The model simulated treatment impacts reasonably well when compared to the traditional paired‐watershed approach. However, the model tended to overestimate water yields during periods of low flow, and there was a significant difference between the two approaches in the estimation of treatment impacts during the first four years following treatment. The results indicate that the lumped‐parameter modeling approach used here may be limited in its ability to detect small changes, and tends to overestimate changes that occur immediately following treatment. It is concluded that watershed experiments can be highly informative due to their direct examination of cause‐effect relationships, while process‐based models are useful for their processing power and focus on functional relationships. The integrated use of both watershed experiments and process‐based models provides a way to generalize hydrologic information, illuminate the processes behind landscape treatment effects, and to generate and test hypotheses.     

Assessing Parameter Uncertainty of a Semi‐Distributed Hydrology Model for a Shallow Aquifer Dominated Environmental System

This paper examines the performance of a semi‐distributed hydrology model (i.e., Soil and Water Assessment Tool [SWAT]) using Sequential Uncertainty FItting (SUFI‐2), generalized likelihood uncertainty estimation (GLUE), parameter solution (ParaSol), and particle swarm optimization (PSO). We applied SWAT to the Waccamaw watershed, a shallow aquifer dominated Coastal Plain watershed in the Southeastern United States (U.S.). The model was calibrated (2003‐2005) and validated (2006‐2007) at two U.S. Geological Survey gaging stations, using significant parameters related to surface hydrology, hydrogeology, hydraulics, and physical properties. SWAT performed best during intervals with wet and normal antecedent conditions with varying sensitivity to effluent channel shape and characteristics. In addition, the calibration of all algorithms depended mostly on Manning's n‐value for the tributary channels as the surface friction resistance factor to generate runoff. SUFI‐2 and PSO simulated the same relative probability distribution tails to those observed at an upstream outlet, while all methods (except ParaSol) exhibited longer tails at a downstream outlet. The ParaSol model exhibited large skewness suggesting a global search algorithm was less capable of characterizing parameter uncertainty. Our findings provide insights regarding parameter sensitivity and uncertainty as well as modeling diagnostic analysis that can improve hydrologic theory and prediction in complex watersheds. Editor's note : This paper is part of the featured series on SWAT Applications for Emerging Hydrologic and Water Quality Challenges. See the February 2017 issue for the introduction and background to the series.     

硝基苯甲酸结构对其在EPDM膜中萃取效果的影响

以3种取代基位置不同的硝基苯甲酸为研究对象,研究了辛醇/水分配系数、溶解度、摩尔体积、分子极化率和偶极矩5种结构参数对硝基苯甲酸在三元乙丙橡胶（EPDM）膜中萃取效果的影响。实验结果表明：EPDM膜对硝基苯甲酸有一定的去除效果,邻、间、对硝基苯甲酸的去除率分别为27.1%、32.4%和41.6%;取代基位置的不同使硝基苯甲酸的去除效果出现差异,其疏水性越强越易在EPDM膜中溶解和渗透;硝基苯甲酸的去除率和透过率与其辛醇/水分配系数和分子极化率正相关,与溶解度负相关;硝基苯甲酸的去除率可用分子极化率和偶极矩两个结构参数进行预测。     

典型石油型城市大气环境质量影响因素的多元统计模型研究——以大庆市为例

为了揭示石油资源型城市大气环境质量变化的影响因素,本文以大庆市为例,以SPSS17.0为分析工具,对影响大气环境质量的工业排放、经济发展、能源消耗、污染防治和气象等众多因素进行主成分分析、相关分析和回归分析,结果证明:大庆市大气环境质量的影响因素主要包括3个因子:污染排放和工业生产影响因子、对大气环境质量有利的(在特定时期内)GDP增长及气象影响因子和对大气环境质量改善有益的环境生产影响因子;并通过回归分析建立了大气环境质量影响因素的回归方程模型,经显著性检验,建立的回归方程具有一定程度的适用性和可信性。本文的研究对促进大庆市大气环境改善和大气环境相关研究具有一定参考价值,对其他城市大气环境的相关研究有一定的促进作用。