英语作文电脑智能自动评分系统的使用和启示
在学习中正确使用ai的英语作文

Learning to Use AI Effectively in Our Studies In the modern era of technology, ArtificialIntelligence (AI) has emerged as a transformative force in various fields, including education. Its integration into the learning process offers numerous advantages, from personalized learning experiences to efficient data analysis. However, the correct and ethical use of AI in learning is crucial to maximizing its benefits and minimizing potential drawbacks.Firstly, AI can tailor learning experiences to individual needs and strengths. By analyzing student data, AI algorithms can identify areas of weakness and suggest targeted resources or practice exercises. This personalized approach not only saves time but also ensures that students focus on what matters most to their academic progress. However, it's essential to maintain a balance between AI-driven recommendations and student autonomy. Students should be encouraged to think critically and independently, rather than solely relying on AI's suggestions.Moreover, AI can automate tedious tasks, freeing up time for more meaningful learning activities. For instance,AI-powered tools can grade assignments or provide instant feedback on writing, allowing teachers to focus onproviding deeper, more personalized guidance. Thisefficiency gain can be particularly beneficial in large classrooms or online learning environments. However, teachers and learners alike must be vigilant against over-reliance on AI for grading or assessment. AI, while powerful, is not infallible and should be used as a supplementary tool rather than a replacement for human judgment.Furthermore, ethical considerations are paramount inthe use of AI in learning. It's crucial to ensure that AI systems are designed and used in ways that promote fairness, inclusivity, and privacy. Biases in AI algorithms can leadto unequal learning outcomes, while the mishandling of student data can compromise privacy. Therefore, it's essential to prioritize transparency and accountability in the development and deployment of AI-based learning tools.In addition to ethical considerations, it's also important to recognize the limitations of AI in learning. While AI can assist in various tasks, it cannot replace thehuman touch of a teacher or mentor. The ability to ask questions, engage in discussions, and receive personalized guidance from a human educator is invaluable in the learning process. AI should be seen as a complementary tool that enhances rather than replaces human interaction in learning.Moreover, students and teachers need to be educated on how to effectively use AI in learning. This includes understanding the capabilities and limitations of AI tools, as well as developing strategies for integrating them into the learning process. Teachers should also be trained to incorporate AI into their teaching practices, ensuring that they are leveraging its benefits while mitigating any potential risks.In conclusion, the correct and ethical use of AI in learning presents significant opportunities for enhancing the educational experience. By tailoring learning experiences, automating tedious tasks, and promoting efficiency, AI can help students achieve their academic goals more effectively. However, it's crucial to strike a balance between AI assistance and human interaction,prioritize ethical considerations, and recognize the limitations of AI. By approaching AI with a mindful and responsible attitude, we can harness its power to transform learning for the better.**在学习中正确使用AI**在科技发展的现代时代,人工智能(AI)已成为包括教育在内的各个领域中的变革性力量。
英语作文自动评分

英语作文自动评分全文共3篇示例,供读者参考篇1Automatic essay scoring, also known as automated essay scoring, is the process of using computer algorithms to evaluate and grade written essays. This technology has gained popularity in recent years, as it offers a more efficient and standardized way to assess students' writing skills.One of the main advantages of automatic essay scoring is its ability to provide instant feedback to students. Traditional essay grading methods, such as manual grading by teachers, can be time-consuming and subjective. With automatic essay scoring, students can receive immediate feedback on their writing, which can help them identify areas for improvement and ultimately improve their writing skills.Another benefit of automatic essay scoring is its consistency and reliability. Human graders may have biases or inconsistencies in their grading, which can lead to unfair evaluations of students' work. By using computer algorithms, automatic essay scoring can provide a more consistent andobjective assessment of writing quality, ensuring a fair and accurate evaluation for all students.Furthermore, automatic essay scoring can help educators streamline the grading process, allowing them to focus on providing personalized feedback and support to students. This technology can save teachers time and resources, enabling them to spend more time on teaching and mentoring students rather than grading papers.Despite its advantages, automatic essay scoring is not without its limitations. Critics argue that computer algorithms may not be able to accurately evaluate the creativity, originality, and critical thinking skills displayed in an essay. Additionally, some argue that automatic essay scoring may encourage formulaic writing and discourage students from taking risks in their writing.In conclusion, automatic essay scoring is a valuable tool for educators to efficiently and objectively assess students' writing skills. While it may not be perfect, automatic essay scoring can provide students with valuable feedback to help them improve their writing abilities. As technology continues to advance, it is likely that automatic essay scoring will play an increasinglyimportant role in the assessment of writing skills in educational settings.篇2Automatic scoring of English essays has been a hot topic in the field of education and technology for many years. With the advancement of natural language processing and artificial intelligence, more and more automated essay scoring systems have been developed to provide efficient and accurate assessment of student writing.One of the most well-known automated essay scoring systems is the E-rater, developed by Educational Testing Service (ETS). E-rater uses a set of linguistic and statistical features to evaluate essays, such as word frequency, coherence, and grammar. It has been widely used in standardized tests like the GRE and TOEFL, providing quick and reliable grading for thousands of students.The benefits of automated essay scoring are numerous. It can save teachers and examiners a significant amount of time and effort by eliminating the need for manual grading. This allows them to focus on providing more personalized feedback to students and helping them improve their writing skills.Additionally, automated scoring systems are more objective and consistent compared to human graders, reducing potential biases and ensuring fair assessment for all students.However, there are also some challenges and limitations with automated essay scoring. One major concern is the inability of these systems to accurately evaluate the creativity and originality of student writing. Automated scoring systems are typically based on pre-defined criteria and templates, which may not capture the nuance and complexity of certain writing styles or topics. Additionally, there are concerns about the reliability of automated scoring, as some studies have shown discrepancies between automated and human scores.Despite these challenges, the development of automated essay scoring systems continues to advance, with researchers exploring new techniques such as deep learning and neural networks to improve accuracy and reliability. As technology continues to evolve, automated essay scoring is expected to play an increasingly important role in education, providing valuable insights into student writing and driving improvements in writing instruction.篇3Title: Automated Scoring in English CompositionIntroductionAutomated scoring in English composition is a technology that is increasingly being used in educational settings to evaluate students' writing skills. This technology uses algorithms to analyze the content, structure, and grammar of student essays, providing immediate feedback and scores. While automated scoring has its advantages, there are also concerns about its reliability and validity compared to human grading. This paper will discuss the benefits and challenges of using automated scoring in English composition.Benefits of Automated ScoringOne of the main benefits of automated scoring in English composition is the speed and efficiency it offers. With automated scoring, teachers can quickly evaluate a large number of essays, saving time and reducing the workload. Automated scoring also provides immediate feedback to students, allowing them to see their mistakes and make improvements. This can help students learn and develop their writing skills more effectively.Another advantage of automated scoring is its consistency. Unlike human graders, automated scoring systems use the samecriteria and standards to evaluate essays, ensuring that all students are assessed fairly. This can help reduce bias and inconsistency in grading, leading to more objective and reliable results.Challenges of Automated ScoringDespite its benefits, automated scoring in English composition also faces several challenges. One of the main concerns is the lack of nuance and context in automated grading. Automated scoring systems may struggle to evaluate the creativity, style, and critical thinking skills displayed in an essay, leading to potentially inaccurate scores.Another challenge is the issue of gaming the system. Students may try to manipulate the algorithms used in automated scoring to improve their scores, rather than focusing on improving their writing skills. This can undermine the integrity of the assessment process and compromise the reliability of the results.Furthermore, there are concerns about the validity of automated scoring compared to human grading. While automated scoring systems are designed to mimic human judgment, they may not be able to fully capture the complex nuances of language and writing that human graders can. Thisraises questions about the accuracy and fairness of automated scoring in evaluating students' writing skills.ConclusionIn conclusion, automated scoring in English composition offers a range of benefits, including speed, efficiency, consistency, and immediate feedback. However, there are also challenges and concerns regarding the reliability, validity, and integrity of automated scoring compared to human grading. As technology continues to advance, it is essential to carefully consider the advantages and limitations of automated scoring in English composition and strike a balance between using technology to enhance assessment practices and preserving the value of human judgment and expertise in evaluating students' writing skills.。
英语作文电脑智能自动评分系统的使用和启示

英语作文电脑智能自动评分系统的使用和启示作者:杨学前来源:《教育界》2012年第30期【摘要】英语作文电脑智能自动评分系统是指对已经输入电脑的英语作文进行自动评分的电脑软件,是对人工评分的有力补充,可以大大提高教师的工作效率。
本人以IntelliMetric 系统为例,介绍目前智能评分系统的原理,为探索在我国各级各类英语教学和考试中使用智能评分系统提供一些依据和参考。
【关键词】英语作文自动评分系统在英语作文教学中,对学生作文进行批改一直被师生共识为提高写作能力的有效手段。
但是,考虑到时间、精力、作文收发等方面,又不得不承认效率不高。
在大规模语言考试中,作文又是必不可少的题型,阅卷工作量和阅卷的信度等问题一直以来都不能让我们如意。
针对这一难题,电脑智能自动评分系统提供了可以信赖、值得期盼的解决方案。
在PEG、IEA、E-rater、冰果、MY Access、IntelliMetric等几种智能评分系统中,本文选取IntelliMetric系统进行研究,对其评价标准进行理论分析,对其所评分的作文进行跟踪评析,发现其通过对学生作文按照若干评分标准问题进行回应和打分的方法能够快速、有效地解决了作文评分的效率问题,可靠性和准确性不亚于人工评分的水平,完全可以作为人工评分的补充手段。
由此看来,智能评分系统的发展值得期盼。
一、IntelliMetric系统概述IntelliMetric系统发布于1998年1月,是第一个提供给教育机构的智能作文评分软件,相比传统的人工评阅具有许多优点,如:准确度大于个人评分,尤其大于单人人工评分;提供即时反馈等等。
发布以后,系统得到了广泛的应用。
IntelliMetric系统作为一个智能评分系统,充分模拟了人工评分的过程。
系统开发时经过了大量的测试培训,即不断通过人工纠正其自动认定的给分点,直至契合。
值得提出的是,系统不是将所有的给分点简单地相加,而是通过分析给分点之间的聚合关系,模拟人工从整体上看待作文并给出判断,这一点上跟人工评分的过程是一致的。
英语作文自动评分

英语作文自动评分English:Automated essay scoring (AES) is a technology that evaluates and scores essays written by students using artificial intelligence algorithms. These algorithms analyze various linguistic features of the text, such as vocabulary usage, sentence structure, coherence, and argumentation. AES has gained popularity in educational settings due to its efficiency in providing quick and consistent feedback to students. By eliminating the need for manual grading, AES saves time for educators and allows them to focus more on teaching. However, there are debates surrounding the effectiveness and fairness of AES, as it may not fully capture the complexity and creativity of human writing. Critics argue that AES may favor formulaic or superficially structured essays over those with originality and depth of thought. Additionally, there are concerns about the potential biases embedded in the algorithms, particularly regarding language proficiency, cultural background, and writing style. Despite these challenges, AES continues to evolve with advancements in natural language processing and machine learning, aiming toaddress its limitations and enhance its accuracy and fairness in evaluating student writing.中文翻译:自动作文评分(AES)是一种利用人工智能算法评估和打分学生写作的技术。
itest智能测评期末作文

第一段:itest智能测评系统的引入随着科技的飞速发展,教育领域也迎来了前所未有的变革。
itest智能测评系统作为其中的佼佼者,以其高效、精准的特点,逐渐在各大院校中普及开来。
该系统通过大数据分析和人工智能算法,实现了对学生学习成果的客观、全面评价,为教育工作者提供了科学的教学辅助工具。
With the rapid development of technology, the field of education has also undergone unprecedented changes. The itest intelligent assessment system, as a leader in this field, has gradually become popular in various universities and colleges due to its efficient and accurate characteristics. Through big data analysis and artificial intelligence algorithms, the system objectively and comprehensively evaluates students' learning outcomes, providing scientific teaching aids for educators.第二段:itest智能测评系统的优势分析itest智能测评系统具备多重优势。
首先,其测评结果准确度高,能够有效减少人为因素的影响,保证评价的客观公正。
其次,该系统能够快速处理大量数据,提高了测评效率,为教师和学生节省了宝贵的时间。
此外,itest还能根据学生的学习情况,提供个性化的学习建议和反馈,帮助学生更好地掌握知识点,提升学习效果。
The itest intelligent assessment system boasts multiple advantages. Firstly, it achieves high accuracy in assessment results, effectively reducing the impact of human factors and ensuring objective and fair evaluation. Secondly, the system can quickly process a large amount of data, improving assessment efficiency and saving precious time for teachers and students. Additionally, itest can provide personalized learning suggestions and feedback based on students' learning situations, helping them better grasp knowledge points and improve their learning outcomes.第三段:itest智能测评系统在教学中的应用在实际教学中,itest智能测评系统发挥了重要作用。
英文作文电脑判分

4. 深入的语言分析,计算机评分系统可以进行深入的语言分析,评估语法、词汇、句法和连贯性等方面。这种全面的评估有助于教育者和学生更好地理解语言能力的优势和需要改进的地方。
5. 适应性学习,AI驱动的评分系统可以适应个体学习者的需求。通过分析学习者的写作模式和进步,它们可以提供定制化的反馈和练习,促进个性化的学习体验。
Adaptive Learning: AI-driven scoring systems can adapt to the individual learner's needs. By analyzing the learner's writing patterns and progress, they can provide tailored feedback and exercises, facilitating personalized learning experiences.
英文作文电脑判分
英文回答:
The advent of artificial intelligence (AI) has brought about significant advancements in various fields, including language processing. Computer-based scoring systems, powered by AI algorithms, have become commonplace for evaluating written text, offering numerous advantages.
英语作文怎么自动评分的

英语作文怎么自动评分的How Automated Essay Scoring Works。
Automated essay scoring (AES) is a technology that uses computer algorithms to evaluate and grade essays written by students. The technology has been around for several decades, and it has been used in various contexts,including standardized tests, classroom assessments, and online writing platforms. The main advantage of AES is that it can provide quick and objective feedback to students, teachers, and administrators, which can help improve the quality of writing instruction and assessment.The process of AES involves several steps. First, the essay is scanned or uploaded into the system, which converts the text into a digital format that can be analyzed by the algorithm. Then, the algorithm applies a set of predefined rules and criteria to evaluate the essay, such as grammar, syntax, vocabulary, coherence, and organization. These rules are based on linguistic andstatistical models that have been trained on large datasets of essays that have been manually graded by human raters.One of the most common AES methods is called the "feature-based" approach, which involves extracting a set of features or attributes from the essay, such as word frequency, sentence length, and punctuation usage. The algorithm then assigns a score to each feature based on its relevance and importance to the overall quality of the essay. The scores are combined into a final score, which represents the overall quality of the essay.Another AES method is called the "holistic" approach, which involves evaluating the essay as a whole, rather than focusing on specific features. The algorithm uses a set of criteria or rubrics to assess the essay, such as theclarity of the thesis statement, the strength of the arguments, and the effectiveness of the conclusion. The algorithm then assigns a score to each criterion based on its quality and relevance to the essay's purpose and audience.Despite its advantages, AES has some limitations and challenges. One of the main criticisms of AES is that it may not capture the complexity and creativity of human writing, and may not be able to detect subtle nuances and variations in style, tone, and voice. Another challenge is that AES may be biased or inaccurate if the training datais not representative or diverse enough, or if the algorithm is not transparent or explainable enough.In conclusion, AES is a useful and promising technology that can help improve the efficiency and effectiveness of writing assessment and instruction. However, it should be used in conjunction with human evaluation and feedback, and should be continuously refined and validated to ensure its validity and reliability.。
在学习中正确使用ai的英语作文

在学习中正确使用ai的英语作文英文回答:In the realm of education, the advent of artificial intelligence (AI) presents both immense opportunities and challenges. To harness the transformative potential of AI while mitigating its potential risks, it is imperative to adopt responsible and thoughtful practices in its implementation.1. Leveraging AI for Personalized Learning:AI-powered platforms can analyze individual student data, including academic performance, learning styles, and interests, to tailor educational experiences to their specific needs. This personalized approach enhances engagement, motivation, and ultimately, academic achievement.2. Enhancing Accessibility and Inclusion:AI-driven assistive technologies, such as speech-to-text software, closed captioning, and adaptive learning platforms, can break down barriers for students with disabilities or from diverse backgrounds. By providing equitable access to educational resources, AI promotes inclusivity and ensures that all students have the opportunity to succeed.3. Automating Administrative Tasks:AI can streamline administrative tasks, freeing up educators to focus on student-centered activities. Automated tasks, such as grading assignments, scheduling classes, and managing student records, can improve efficiency and reduce teacher workload.4. Providing Real-Time Feedback:AI-powered chatbots or virtual assistants can offer students instant feedback on their work, enabling them to identify areas of improvement and enhance their learning inreal-time. This continuous feedback loop fosters a more dynamic and interactive learning environment.5. Fostering Critical Thinking and Creativity:While AI can assist with routine tasks, it can also stimulate higher-order thinking skills. By engaging with AI systems, students develop critical thinking abilities, problem-solving skills, and creative thinking. AI-powered collaborative learning platforms allow students to share ideas, work together on projects, and learn from eachother's perspectives.6. Ethical Considerations:Responsible AI implementation requires careful consideration of ethical implications. AI systems must be transparent, unbiased, and respectful of student privacy. Educators and policymakers must prioritize the ethical development and use of AI in education.7. Teacher Training and Professional Development:To effectively integrate AI into the classroom, teachers need comprehensive training and ongoing professional development. This includes not only gaining technical skills but also developing a deep understanding of the pedagogical implications and ethical considerations of AI.8. Balancing AI and Human Interaction:AI should complement human educators, not replace them. AI systems can enhance the teaching and learning process, but they cannot substitute for the personal connection and individualized support that skilled educators provide.9. Long-Term Planning and Evaluation:The impact of AI in education will continue to evolve over time. Continuous evaluation and long-term planning are essential to ensure that AI is used in ways that maximize its benefits and mitigate potential risks.10. Collaboration and Partnerships:Effective AI implementation requires collaboration between educators, researchers, policymakers, andtechnology companies. By pooling knowledge and resources, stakeholders can work together to create innovative and responsible solutions that transform education for the better.中文回答:如何正确在学习中应用 AI.在教育领域,人工智能 (AI) 的出现带来了巨大的机遇和挑战。
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英语作文电脑智能自动评分系统的使用和启示英语作文电脑智能自动评分系统的使用和启示内容简介:英语作文电脑智能自动评分系统的使用和启示在英语作文教学中,对学生作文进行批改一直被师生共识为提高写作能力的有效手段。
但是,考虑到时间、精力、作文收发等方面,又不得不承认效率不高。
在大规模语言考试中,作文又是必不可少的题论文格式论文范文毕业论文英语作文电脑智能自动评分系统的使用和启示在英语作文教学中,对学生作文进行批改一直被师生共识为提高写作能力的有效手段。
但是,考虑到时间、精力、作文收发等方面,又不得不承认效率不高。
在大规模语言考试中,作文又是必不可少的题型,阅卷工作量和阅卷的信度等问题一直以来都不能让我们如意。
针对这一难题,电脑智能自动评分系统提供了可以信赖、值得期盼的解决方案。
在PEG、IEA、E-rater、冰果、MY Aess、IntelliMetri等几种智能评分系统中,选取IntelliMetri系统进行研究,对其评价标准进行理论分析,对其所评分的作文进行跟踪评析,发现其通过对学生作文按照若干评分标准问题进行回应和打分的方法能够快速、有效地解决了作文评分的效率问题,可靠性和准确性不亚于人工评分的水平,完全可以作为人工评分的补充手段。
由此看来,智能评分系统的发展值得期盼。
一、IntelliMetri系统概述IntelliMetri系统发布于1998年1月,是第一个提供给教育机构的智能作文评分软件,相比传统的人工评阅具有许多优点,如:准确度大于个人评分,尤其大于单人人工评分;提供即时反馈等等。
发布以后,系统得到了广泛的应用。
IntelliMetri系统作为一个智能评分系统,充分模拟了人工评分的过程。
系统开发时经过了大量的测试培训,即不断通过人工纠正其自动认定的给分点,直至契合。
值得提出的是,系统不是将所有的给分点简单地相加,而是通过分析给分点之间的聚合关系,模拟人工从整体上看待作文并给出判断,这一点上跟人工评分的过程是一致的。
对于每一个给分点刺激和提示,IntelliMetri系统创建了一个独特的解决方案,主要的给分点、次要的给分点、聚群给分点和分散给分点,都有不同的分数赋值。
每一个刺激或提示,这相当于人工阅卷时我们先将作文的得分点做上标记,然后回过头来审视通篇看所有的这些给分点是否形成整体,主题是否突出,连贯是否流畅。
正因为如此,IntelliMetri系统能够实现令人满意的高匹配的评阅结果。
二、IntelliMetri系统评分依据IntelliMetri系统的评分依据主要根据其对作文进行的300多个变量的分析,这些变量包括语义学、造句法等与主题有关的一切因素,其数量和认定的准确度还在发展当中。
概括起来,IntelliMetri系统评分依据从宏观到微观具有几个方面功能特征:首先是聚焦度(Fous)和整体性(Unit),系统高度关注指向写作目的的聚焦度和一致性,对给分点的聚合关系赋值有统筹考虑,同时,也不排斥出现的单个观点的出现,注意到意义的关联度,做到点和面的全盘考虑。
其次是深化(Development)和拓展(Elaboration),系统关注文章内容的广度和概念的拓展深度,关注对主题的深化表述论述过程,注意意义点之间的线性关联,做到点与点的流程考虑。
三、IntelliMetri系统局限性及关于智能评分系统的思考IntelliMetri系统再好,它还是属于工具,少不了它的局限性。
首先,系统测试时大大依赖于标准的人工评阅专家。
系统需要明确的给分点提示和整体把握流程,而这样的专家往往也是仁者见仁智者见智的,很难取得统一。
输入不够导致输出局限,使用系统进行机评时我们会发现系统遗漏了给分点或整体把握不灵的情况。
从目前各种智能评分系统的使用看来,各种系统的设计都利用了多种现代信息处理技术,主要包括自然语言微观和宏观处理技术、检索技术和统计分析技术等,但由于所使用的各种技术成熟程度不同,主要由于对自然语言处理微观宏观标准的建立和人工智能化程度还远远不够,系统的分析能力难免存在较大局限性。
目前,由于涉及专利问题,各种智能评分系统所采用的自然语言处理微宏技术都还没有公开,这是一个遗憾,对我们进一步开展研究很不利。
智能评分系统在对评分模型进行训练并建立基础数据库、形成建模,是提高其工作质量,即作文评分的信度的关键。
接下来,我们应充分借鉴语言测试领域的成果,充分发展自然语言处理微宏技术,在语言表述、思想内容和结构等方面进行联动赋值,并植入智能系统。
还要在程序上进一步模拟人工流程,对自动评分模型进行反复训练调试,才能提高机评的信度,为语言教学提供强有力的辅助。
日本的《环境基本法》对噪音有明文限制:疗养部门和社会福利设施集中的地方,噪音白天在50分贝以下,夜里不能超过40分贝;市民居住区白天55分贝,夜里45分贝以下;住宅和商业、工业混合区域白天60分贝,夜里50分贝以下。
达不到标准,有关部门会加以治理。
日本人在生活中处处都小心翼翼,生怕给别人添麻烦。
白天很少见人影,也几乎看不到他们在院子里聊天。
晚上一扇扇的窗户里亮着灯光,隐约可看见一家人在看电视,却很少能听见电视声或者说话的声音。
城铁车站非常热闹,但从未听到过电车鸣笛。
电车穿过小区,只有邻近铁路的人能听到,并没有达到吵闹的地步。
高速公路上平时汽车川流不息,但声音并不算大,很少听到汽车司机摁喇叭。
瑞典:深夜不准用吸尘器大多数瑞典居民小区规定晚上9时以后不准使用吸尘器,晚上10时后不准使用洗衣机。
这样的规定虽然不是法令,但作为一种约定俗成的社会公德而被人们广泛接受。
闹得太出格,会被其他邻居告到小区物业管理处;屡教不改的,很有可能被房东请出大门。
临近周末的时候,在瑞典的许多居民小区里都可以看到这样一些业主留言:各位邻居,我们将于今晚在家中宴请宾客,届时会有较高的声响,希望各位原谅。
在瑞典,标准公寓配置的窗户都是3层玻璃,隔音效果十分突出。
一些距离主要街道较近的小区,市政管理部门规定要给居民安装4层玻璃。
德国:限速降低交通噪音德国城市同样存在噪音问题。
由于德国纬度高,冬季时间长,一般住宅的窗户都采用双层中空,这不仅起到了保温作用,也有效地降低了外界环境噪声。
尤其是靠近马路的居民楼,一般在设计时会采用降噪规格更高的窗户。
为减少道路交通噪声对居民楼的干扰,德国还在居民区限制行车速度。
在柏林的城市网状主干道之间,30公里限速区的标志随处可见。
在一些穿过居民密集区的中小干道上,还实行22时至早晨6时之间限速30公里的分时限速规定,尽量避免交通噪音对居民的影响。
另外,在居民区,建筑施工作业严格限定时段,小区露天运动场也明示开放时间,一般都禁止中午和晚上开展活动。
这些措施有效地降低了噪音扰民问题。
内容简介:可控源音频大地电磁测深在地热资源中的应用引言多年实践表明,地热资源是一种十分宝贵的综合性矿产资源,其功能多,用途广。
地热资源的综合开发利用,在社会、经济和环境效益均很显著,在发展国民经济中已显示出越来越重要的作用。
一般论文格式论文范文毕业论文可控源音频大地电磁测深在地热资源中的应用引言多年实践表明,地热资源是一种十分宝贵的综合性矿产资源,其功能多,用途广。
地热资源的综合开发利用,在社会、经济和环境效益均很显著,在发展国民经济中已显示出越来越重要的作用。
一般来说地热资源埋藏深,开采风险大。
为了减少开采风险,提高效率,开发地热资源必须进行地质调查,地球物理勘查是地热资源勘查的重要方法之一。
随着地热资源开发的难度越来越大,深度也越来越深,这就要求我们寻找更有效方法。
我们通过CSAMT法在某地的深部地热勘查中取得较好的地质效果。
1 方法简介 CSAMT法是上世纪八十年代兴起的一种物探方法。
该方法根据电磁感应的趋肤效应,高频的电磁场穿透深度浅、低频电磁穿透深度深的原因,随着频率的改变,探测深度也随之改变。
从电磁波的趋肤效应理论分析可得到趋肤深度公式:H 356■(1)式中:H为探测深度,?籽为电阻率,f为频率。
2 技术措施 CSAMT法具有信噪比高,观测信号强,设备较为轻便,生产效率高等优点。
这符合我们进行地热勘查的要求。
本次工作所使用的V8型接收机系统出队前经过了认真检查,符合有关规定,均可在野外施工使用。
在野外数据采集前与外业工作结束后均按技术要求对设备进行了标定。
经检查,标定的相位谱和电阻率谱曲线规则、光滑,符合《CSAMT法技术规定》要求。
①供电系统:电源为30kega;,个别点位因地表条件较差,接地电阻在4000 左右,采集频率同发射频率。
主要采集技术参数为:每测点按设计工作频率表依次扫频观测,每个频率叠加次数按采集时间满足1分钟或叠加60次。
自动记录、存储。
③同步系统:发射与接收采用GPS卫星时间同步,精度为0.1ns。
④观测方式:CSAMT采用赤道偶极排列。
3 实例分析该工区平行布置了4条剖面,各剖面异常形态与电性结构具相似性。
4条剖面较好地反映了不同地电特征的岩性界面。
3.1 解释思路第四系(Q):主要岩性为漂砾层,残坡积层以及冲积层,该套地层电阻率变化较大,厚度不大,分布不稳定,非本次勘查主要电性层。
CSAMT法工作主要反映工作区内垂向电性结构特征,岩体:区域岩浆岩为灰白、浅肉红色中粗粒似斑状黑云母花岗岩为主,电阻率值较高。
与地层岩性引起的异常面貌差异较大,在断面图上呈较明显叠加异常特征。
断面异常等值线密集梯级带、一定线性方向的扭曲、低值异常的一定方向的突出、异常的不连续与错位等现象预示断裂构造的存在。
3.2 解释与推断下面以通过1线卡尼亚视电阻率共轭梯度反演断面异常为例进行分析解释。
F2右侧为一高阻圈闭,上部电阻率较低推断其为震旦系地层,下部电阻率明显升高推断其为花岗岩体。
F2左侧电阻率为中低组带推断其为震旦系岩层。
根据地层接触关系推断F2右侧的高阻圈闭为地层构造运动所造成的硅化带。
F2附近电阻率梯度变化大,且具有一定线性方向故推断其为断裂带,倾角70度左右。
从剖面方向看,可明显看到一条低阻带穿过两个高阻圈闭,符合断裂带电阻率特征,故可以推断该区域存在一条F3的断裂带,倾角90度左右。
在530桩号附近密集梯级带,可能与冲沟相关,认为此面也可能是富水层位。
4 结束语通过上面工程实例的分析,可以CSAMT有如下特点:CSAMT法相对其他电磁法抗干扰能力更强,探测深度大优势相对明显,并且具有对低阻异常敏感的特点,能有效地划分断层破碎带。
CSAMT法以电阻率差异为依据,是一种间接找水的物探方法。
在利用这种方法进行找水工作时,如果很好结合工区地形地质环境,地球物理特征,和其他有关资料进行综合分析研究,可能会取得更佳实际应用效果。
关键词:英语,策略,语言普及舟山市民学习英语的策略研究摘要:英语普及率是一个城市一种软实力的重要体现,也是衡量一个城市现代化和国际化标准的重要组成部分。