风能资源评估系统开发与应用

开发风能资源、利用风力发电在我国虽然只有数十年，但其发展却很快，风能作为可再生的清洁能源也越来越受到重视。风能资源评估作为风电资源开发的前提，是风力机选址的关键。介绍了以Visual Basic为开发工具，利用SQL Server为数据库开发而成的风能资源评估系统的结构和特点。经实践证明，本系统缩短了风能资源评价周期，提高了数据处理可靠性。     

用VB语言编制水环境管理决策支持系统

在分析国内外环境管理决策支持系统（ＥＤＳＳ）开发现状的基础上，提出了采用Ｍｉｃｒｏｓｏｆｔ Ｖｉｓｕａｌ Ｂａｓｉｃ来开发水环境管理决策支持系统（ＷＥＭＤＳＳ）的方法，并利用程序语言编制了广东省潭江的ＷＥＭＤＳＳ。实例研究表明，充分利用ＶＢ编程语言的特点，可以快速方便地完成ＷＥＭＤＳＳ的结构设计和实现系统的各项功能。     

氨对垃圾焚烧飞灰浸出特性的影响及地球化学模拟

垃圾焚烧飞灰可能因为选择性非催化还原法(SNCR)脱硝过程中氨泄漏、垃圾携带的渗滤液受热挥发等原因而吸附氨.本研究中采用人为添加氨水,在pH为3.66～12.44范围内,研究氨对飞灰中溶解性有机碳(DOC)和重金属浸出的影响,并利用地球化学模拟软件Visual MINTEQ从金属化学形态分布上分析氨对飞灰浸出的影响机制.结果表明,DOC在pH>9和有高浓度氨(≥1 357 mg·L-1)存在时,其浸出量大幅增加,而在浸出液中氨的水平不高于537 mg·L-1时则受氨的影响很小;在pH<6时,飞灰中各金属主要以自由态的金属离子和金属-氯络离子形态大量溶出,且受氨的影响较小;而在pH为8～12的碱性环境中和氨浓度较高时(≥3 253 mg·L-1),氨与金属生成了可溶性的金属-氨配合物,能显著增加Cd、Cu、Ni、Zn的浸出,且在pH=9附近时浸出量达到最大值,但氨对Al和Pb的浸出影响甚微;在pH>12时,Cd、Cu、Ni、Zn主要以羟基金属离子形式存在.在氨浓度为3 253 mg·L-1时,通过利用Visual MINTEQ模拟浸出值与试验数据的对比,发现Al、Pb、Zn的浸出主要由溶解/沉淀模型控制,而Cd、Cu、Ni由溶解/沉淀模型和表面吸附反应模型同时控制,且Visual MINTEQ模型能较好地预测飞灰中Al、Cu、Pb、Zn的浸出特性.     

应用数值法对井工开采对地下水预测研究——以晋城矿区赵庄煤矿为例

为了预测井工煤矿开采后地下水水位变化,及对矿区内居民水源井的影响程度,文章在详细分析赵庄煤矿区域及井田水文地质条件的基础上,运用VisualMODFLOW软件对该煤矿及周边影响范围进行了地下水流数值模拟分析,预测了赵庄煤矿开采后不同阶段地下水水位、水量及影响范围的变化,并分析了煤矿开采对当地居民饮用水源的影响,模型的识别与检验表明,所建模型能够较好地反映水文地质条件,能够与目前实际开采地下水影响相吻合。     

燃煤电厂电-袋复合式除尘器优化控制的仿真运行研究

以电-袋复合式除尘器为仿真研究对象,在Windows界面下利用Visual Basic6．0编程语言开发出燃煤电厂电-袋复合式除尘器优化控制的仿真运行软件。该软件通过建立数学模型,进行仿真实验,模拟工况变化、优化运行参数等对电-袋复合除尘系统进行整体的优化控制,并综合分析电-袋复合除尘器运行过程中的能耗以及运行费用,对运行电压、电流、运行阻力、喷吹周期等参数进行了优化。该仿真软件达到了电一袋除尘系统的节能降耗的目的,同时也降低了电～袋复合除尘器的运行成本。     

基于Web的热带气旋灾害信息管理系统的设计与应用

用基于Web的页面显示、业务逻辑、数据访问的B/S三层结构,在Microsoft SQL Server2000和Microsoft Visual Studio2005环境下设计开发了热带气旋灾害数据库信息管理系统。对不同类型的数据,采用多对多的数据映射关系,并以不同的方式进行不同的数据管理。为了将没有统一数据格式的热带气旋灾害信息源数据,能够正确地导入到SQL Server数据库中,编写了专门的C++程序对数据格式化,实现数据格式的BNF定义,同时,在系统的设计中,融入灾害评价方法模型供用户选择使用,并采取多项行之有效的措施以防止SQL注入式攻击。     

Selecting islands and shoals for conservation based on biological and aesthetic criteria

Consideration of biological quality has long been an important component of rating areas for conservation. Often these same areas are highly valued by people for aesthetic reasons, creating demands for housing and recreation that may conflict with protection plans for these habitats. Most methods of selecting land for conservation purposes use biological factors alone. For some land areas, analysis of aesthetic qualities is also important in describing the scenic value of undisturbed land. A method for prioritizing small islands and shoals based on both biological and visual quality factors is presented here. The study included 169 undeveloped islands and shoals ⩽0.8 ha in the Thousand Islands Region of the St. Lawrence River, New York. Criteria such as critical habitat for uncommon plant and animal species were considered together with visual quality and incorporated into a rating system that ranked the islands and shoals according to their priority for conservation management and protection from development. Biological factors were determined based on previous research and a field survey. Visual quality was determined by visual diagnostic criteria developed from public responses to photographs of a sample of islands. Variables such as elevation, soil depth, and type of plant community can be used to classify islands into different categories of visual quality but are unsuccessful in classifying islands into categories of overall biological quality.     

Visual Aesthetic Quality of Northern Ontario's Forested Shorelines

Only a few empirical studies on forest aesthetics have adopted a water-based perspective for observers and have investigated the perceived visual quality of forested shorelines. In forested environments with many lakes, such as the boreal forest in the Canadian Shield, individuals have greater exposure to forests from water-based rather than in-stand vantage points. This study employed the psychophysical research direction to explore the relationships between scenic beauty and biophysical characteristics of the forested shorelines in the boreal forests. Two model forms were tested. One model related the variation of shoreline forest aesthetic evaluations of near-vista views (140 m offshore) to a set of forest mensuration data. Tree size, tree mortality, conifer shrubs, tree density, amount of hardwood, and slope explained 60.2% of the variance in scenic beauty between the study sites. A second model was calibrated to test the relationship between an already existing ecosystem vegetation classification system and the aesthetic evaluations of the same forested shorelines. When the ecosystem classification was simplified to eight groups, the model explained 48.5% of variance. These models suggest that the psychophysical approach to studying aesthetics can be applied successfully to near-vista evaluations of scenic beauty. The finding that a forest ecosystem classification system is highly related to scenic beauty suggests that, at least in the boreal forest, managers can reasonably estimate the scenic beauty of forested shoreline environments from an ecosystem classification, with little need for intensive data on these sites.     

Quantifying Forest Visibility with Spatial Data

We use spatial data representing transportation networks, elevation, stand height, and recreation use to construct and compare models of recreation use patterns and visibility in a forest. The recreation use pattern model depicts use frequencies along travel corridors. The visibility model quantifies visibility for all forest areas. We find that the models provide different but complementary types of information. Forest managers who are involved in scheduling harvest operations and want to address the visual concerns of forest visitors may benefit most from the visibility model. Managers who wish to know more about travel patterns or to reroute forest visitors affected by operations may benefit from the use pattern model. A combination of the two models has the highest potential for providing planning assistance in multiple-use forests. Both models may be able to enhance visual resource management (VRM) systems already in use by providing spatially explicit recreation use and visibility data.     

Leaching behavior of heavy metals from municipal solid waste incineration bottom ash and its geochemical modeling

With the increase in the number of municipal solid waste incineration (MSWI) plants constructed in China recently, great attention has been paid to the heavy metal leaching toxicity of MSWI residues. In this study, the effects of various parameters, including extractant, leaching time, liquid-to-solid ratio, leachate pH, and heavy metal content, on the release properties of Cd, Cr, Cu, Ni, Pb, and Zn from MSWI bottom ash were investigated. Partial least-squares analysis was employed to highlight the interrelationships between the factors and response variables. Both experimental research and geochemical modeling using Visual MINTEQ software were conducted to study the pH-dependent leaching behavior of these metals in fresh and weathered bottom ash, considering precipitation/dissolution and surface complexation reactions (adsorption by hydrous ferric oxide and amorphous aluminum oxide/hydroxide). The results showed that leachate pH was the predominant factor influencing heavy metal leachability. The leaching of Cu, Pb, and Zn was mainly controlled by precipitation/dissolution reactions, whereas surface complexation had some effect on the leaching of Cr, Cd, and Ni for certain pH ranges. The modeling results aggreed well with the experimental results. Part of this work was presented at the Fourth International Conference on Combustion, Incineration/Pyrolysis and Emission Control (i-CIPEC)