三峡工程蓄水运用期库区干流水质分析

分析了三峡库区蓄水前后（1998～2009年）干流水质的变化及原因。结果表明,同蓄水前相比,蓄水后库区干流水质变好,库区干流断面月度达标率均值由蓄水前的623%变为蓄水后的783%,库区干流超标污染物主要为高锰酸盐指数、总磷、铅等。蓄水后水质时空分布出现新的特点,近坝水体悬浮物、浑样高锰酸盐指数、总磷、铅等可吸附污染物浓度显著降低。蓄水后年内悬浮物及浑样高锰酸盐指数、总磷和铅浓度仍然是丰水期＞平、枯水期,但近坝水体不同水期间浓度差别比蓄水前明显减小。蓄水后,库区干流浑样高锰酸盐指数、总磷、铅浓度整体上表现为从库尾至库首沿程下降,尤以丰水期沿程下降最为突出。浑样高锰酸盐指数、总磷、铅浓度以上变化特征主要缘于库区水位抬高后,流速减小导致的澄清作用,即高锰酸盐指数所代表污染物、磷、铅等随泥沙发生了不同程度的沉降。蓄水前后清样高锰酸盐指数和总磷未发生明显变化,156 m蓄水后至今,清样铅浓度明显低于蓄水前。     

基于全过程控制的铁路建设项目生态环境保护发展状况评估

铁路建设项目的生态环境影响在其全生命周期内各时期有不同的表现形式.在阐述不同时期应重点关注的生态环境保护问题的基础上,从全过程控制角度,建立了涵盖前期规划、建设期、运营期3个阶段的铁路建设项目生态环境保护发展状况评估指标体系,运用层次分析法对各指标进行权重评定.根据权重计算结果对铁路建设项目生态环境保护工作中重要时期及...     

提高建设项目环境影响评价质量的对策建议

针对目前我国环评机构鱼龙混杂,环评从业人员素质良莠不齐,建设项目环评质量亟待提高等问题,本文就环评过程中存在的问题和不足进行剖析,并就如何提高建设项目环评质量提出对策建议。     

Polymer Barrier Films

Many polymers such as polyolefins (polyethylene, polypropylene), poly(vinyl chloride), aliphatic polyamides, poly(ethylene terephthalate), polycarbonate, and others are used as protective barrier films against the mass transport of small molecules of gases, vapors, and liquids (known as diffusates, permeants) in different applications. The barrier properties depend on the polymer characteristics such as solubility, diffusion, permeability, and others, the nature of the fluid, temperature, and other factors. Mainly polymer barrier film application in packaging, construction, and agriculture are discussed.     

新时期高速公路建设节约用地创新性研究

"十一五"期间,我国提出了新版国家高速公路网络规划,新一轮的高速公路建设热潮正在展开,同时高速公路建设与节约土地资源,特别是高速公路建设与保护耕地资源之间的矛盾日益显著.结合国家现行土地利用政策,就今后在高速公路建设中如何有效节约土地资源,从政策机制、项目管理、施工技术等对建设高速公路节约用地提出了创新性思考和可行性建议.     

隧洞施工通风系统事故树分析

在采矿、铁路、公路及水利水电工程中，常常采用长距离隧洞或隧道来穿越高山。而隧洞的施工以其施工技术复杂、难度大、风险高，经常成为控制工程工期的主要环节，隧洞施工中的通风换气系统，关系到施工能否顺利进行和施工作业人员的人身安全，根据隧洞施工通风系统的运行特点，采用安全系统分析中的事故树（FTA）方法，对隧洞施工中通风系统的安全性进行定性分析，找出影响通风安全的主要因素，并提出了通风安全管理对策，可以保证施工作业的顺利进行和人身安全，提高整个施工作业的安全度。     

FLOOD STAGE FORECASTING WITH SUPPORT VECTOR MACHINES1

ABSTRACT: Machine learning techniques are finding more and more applications in the field of forecasting. A novel regression technique, called Support Vector Machine (SVM), based on the statistical learning theory is explored in this study. SVM is based on the principle of Structural Risk Minimization as opposed to the principle of Empirical Risk Minimization espoused by conventional regression techniques. The flood data at Dhaka, Bangladesh, are used in this study to demonstrate the forecasting capabilities of SVM. The result is compared with that of Artificial Neural Network (ANN) based model for one‐lead day to seven‐lead day forecasting. The improvements in maximum predicted water level errors by SVM over ANN for four‐lead day to seven‐lead day are 9.6 cm, 22.6 cm, 4.9 cm and 15.7 cm, respectively. The result shows that the prediction accuracy of SVM is at least as good as and in some cases (particularly at higher lead days) actually better than that of ANN, yet it offers advantages over many of the limitations of ANN, for example in arriving at ANN's optimal network architecture and choosing useful training set. Thus, SVM appears to be a very promising prediction tool.     

A LARGE ELECTRONIC WEIGHING LYSIMETER SYSTEM: DESIGN AND INSTALLATION1

ABSTRACT: To measure crop evapotranspiration, a large double tank, electronic weighting lysimeter system was designed and installed at the Shahid Bahonar University farm, Kerman, Iran. The system was installed in a 50 m² underground building. It includes two tanks of 3.00 m in diameter and 1.75 m deep. The weighing mechanism for each tank is a set of three compression strain gage load cells, which are fixed on 1.20 m height column above the floor. According to the specification of the load cells, the maximum possible weighing error may be about 0.01 percent of total mass, which is equivalent to 0.28 mm of water, but the measured error was equal to 1 kg mass, which is equivalent to 0.14 mm of water. The load cell data from each tank and the on‐site environmental data (temperature, humidity, and wind velocity and direction) are automatically recorded and saved in a personal computer hard disk for further use and analysis.     

Channelization and levee construction in Illinois: Review and implications for management

The environmental impact of loss of natural stream and riparian habitat is of concern throughout the United States and Europe. Environmental impacts related to such activities as channelization of and levee construction along streams and rivers are particularly apparent in the Midwestern United States. The objective of the research presented here was to delineate the extent, relative degree of impact, and implications for management of channelization and levee construction along watercourses located in the state of Illinois. According to records maintained through the Illinois Streams Information System data base (Illinois Department of Conservation), nearly 25% of surface water resources in the state have been modified directly by channelization and/or levee construction. Reviews of agency records, elaboration of case histories, interviews with agency personnel, and inspections of impacted sites indicated that these alterations have occurred without the benefit of effective mitigation. Although permit records may provide suggestions for mitigation to be incorporated in the design of a particular project, permits issued generally do not require even minimal instream habitat and bank stabilization efforts in conjunction with channel alteration. Information derived from policy and case study analyses suggests that institutional constraints, rather than lack of particular understanding about mitigation, provide major barriers to protecting the state's surface water resources in terms of regulatory review, policy interpretation and implementation, and project evaluation. Recommendations for environmental management efforts regarding these and similar channel alterations are elaborated from these findings.     

DEVELOPMENT OF WATERSIIED MODELS FOR TWO SIERRA NEVADA BASINS USING A GEOGRAPHIC INFORMATION SYSTEM1

ABSTRACT: Techniques were developed using vector and raster data in a geographic information system (GIS) to define the spatial variability of watershed characteristics in the north-central Sierra Nevada of California and Nevada and to assist in computing model input parameters. The U.S. Geological Survey's Precipitation-Runoff Modeling System, a physically based, distributed-parameter watershed model, simulates runoff for a basin by partitioning a watershed into areas that each have a homogeneous hydrologic response to precipitation or snowmelt. These land units, known as hydrologic-response units (HRU's), are characterized according to physical properties, such as altitude, slope, aspect, land cover, soils, and geology, and climate patterns. Digital data were used to develop a GIS data base and HRIJ classification for the American River and Carson River basins. The following criteria are used in delineating HRU's: (1) Data layers are hydrologically significant and have a resolution appropriate to the watershed's natural spatial variability, (2) the technique for delineating HRU's accommodates different classification criteria and is reproducible, and (3) HRU's are not limited by hydrographic-subbasin boundaries. HRU's so defined are spatially noncontiguous. The result is an objective, efficient methodology for characterizing a watershed and for delineating HRU's. Also, digital data can be analyzed and transformed to assist in defining parameters and in calibrating the model.