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数学代写|数值方法作业代写numerical methods代考|Modeling procedure

Generally, the steps to developing models include conceptualization, formulation, computational representation, solution, calibration, validation, and application. There are many structures toward developing or building a model which depends on the modeler prerogative. In Eykhoff (1974), two main classification of models were given as priori structural knowledge and the posteriori measurement knowledge. The priori structural knowledge is simply a deductive reasoning approach which is based on existing general theory while the posteriori measurement knowledge is the inductive reasoning approach based on measurement. Both procedures can be combined as presented in Fig. 4.3.

The conceptualization stage is the most important step of modeling because all the groups of parameters, the sequence of the parameter, the conditions at which a parameter takes preeminence, the type of methods that would accommodate all the steps, and the working knowledge of failed models in the past. The latter seem to be the most important point in model conceptualization. There are lots of models in environmental science that are regarded as failed models based on so many factors peculiar to the problem to be solved. There is no point reinventing the wheel if adequate knowledge of existing models is not acquired. Modeler are expected to understudy existing and failed models to guide the choice of parameters. In some cases, the model based on regional geographical climates would add a parameter that may not be relevant in another geographical region. For example, including snow melting rate in a model would naturally be a failed option for scientist in the tropics. In other words, the sound knowledge of the group parameters would help in christening the model after implementation stage. For example, it would be better to christen a model as “one-dimensional tropical hydrodynamic model” than to give a generic title that may be misleading to researchers from other climatic regions of the globe. The sequence of the parameter, and the conditions at which a parameter takes preeminence is very important in conceptualization this would help the modeler to know exactly what kind of method that would be appropriate to build the model. As discussed earlier, the methods may be in form of a mathematical model (e.g., advection-diffusion water quality model, finite-difference model), computational models (machine learning, simulations, big data analytics), observation models (ecological model, hydrodynamic model) and statistical models. The other elements of a model can be summarized in Fig. $4.4$.

数学代写|数值方法作业代写numerical methods代考|Safety rules

Basic safety rules for laboratory conduct should be observed whenever working in a laboratory. Same procedure should be observed in field work. Many of the most common safety rules are listed below. Safety rules are divided into safety location rules, pre-experimental safety, experiment safety rules, post-experimental safety, and general safety rules. In this section, the safety rules is discussed in two sections i.e., laboratory and field researchers.
1.4.1.1 Safety for environmental field researcher
The first safety rules in field research are planning and preparation. Most field researcher lacks this skill. Field survey are plagued with many unseen factors ranging from social risk, cultural risk, topographic risk, weather risk, pollution risk, allergy risk, organization risk etc. For example, a researcher who wants to take measurement in a field that have vested interest by big company may likely lose his/her reputation or lives. In this regard, there are uncountable cases of researcher abduction or demise. All this risk must be in the research plan to avoid loss of lives, properties, or reputation.

Based on the above information, it is not advisable for individuals to embark on field research. Group work is highly recommended in this wise. The basis requirement for such group is training on i. cardiopulmonary resuscitation (CPR) or first aid class;
ii. disease control and prevention;
iii. use of communication devices for local and international rescue program;
iv. use of personal protective equipment;
v. disease vectors catalog.
Office of Environment, Health \& Safety (OEHS) University of California, Berkeley, gave a chart that should guide field research across countries as shown in Table 4.5. Another very important aspect of field research is the exposure to certain disease vectors such as bats, rodents, and mosquitoes. In DRC Congo, bats are known as the main carrier of Ebola which had already claimed above a million lives by 2019 . The mosquitoes are common in the tropics. Exposure to the anopheles’ mosquitoes could lead to malaria. About 700 million people die every year as a result of mosquito-borne disease. The Aedes aegypti mosquito transmits zika, dengue, chikungunya, and yellow fever to humans. Exposure to rodents may lead to fatigue, fever, muscle aches, and sometimes headaches, dizziness, chills, abdominal problems, coughing, and shortness of breath.

数学代写|数值方法作业代写numerical methods代考|MATH340-002

数值方法代考

数学代写|数值方法作业代写numerical methods代考|Modeling procedure

一般来说,开发模型的步骤包括概念化、公式化、计算表示、解决方案、校准、验证和应用。开发或构建模型有许多结构,这取决于建模者的特权。在 Eykhoff (1974) 中,模型的两个主要分类被给出为先验结构知识和后验测量知识。先验结构知识只是基于现有一般理论的演绎推理方法,而后验测量知识是基于测量的归纳推理方法。如图 4.3 所示,这两种程序可以结合使用。

概念化阶段是建模最重要的步骤,因为所有参数组、参数顺序、参数优先的条件、适应所有步骤的方法类型以及失败模型的工作知识在过去。后者似乎是模型概念化中最重要的一点。环境科学中有很多模型被认为是失败的模型,这些模型基于要解决的问题所特有的众多因素。如果没有获得对现有模型的足够知识,那么重新发明轮子是没有意义的。Modeler 预计将研究现有和失败的模型,以指导参数的选择。在某些情况下,基于区域地理气候的模型将添加一个可能与另一个地理区域无关的参数。例如,在模型中包含融雪速率对于热带地区的科学家来说自然是一个失败的选择。换句话说,组参数的健全知识将有助于在实施阶段后命名模型。例如,最好将模型命名为“一维热带水动力模型”,而不是给出可能误导全球其他气候区域研究人员的通用名称。参数的顺序以及参数占据优势的条件在概念化中非常重要,这将有助于建模者准确了解适合构建模型的方法。如前所述,这些方法可以是数学模型(例如,对流-扩散水质模型、有限差分模型)、计算模型(机器学习、模拟、大数据分析)、观测模型(生态模型、水动力模型)和统计模型的形式。楷模。模型的其他元素可以总结在图 1 中。4.4.

数学代写|数值方法作业代写numerical methods代考|Safety rules

在实验室工作时,应遵守实验室行为的基本安全规则。在现场工作中应遵守相同的程序。下面列出了许多最常见的安全规则。安全规则分为安全定位规则、实验前安全规则、实验安全规则、实验后安全规则和一般安全规则。在本节中,安全规则分两个部分讨论,即实验室和现场研究人员。
1.4.1.1 环境领域研究人员的安全
实地研究的首要安全规则是计划和准备。大多数实地研究人员缺乏这种技能。实地调查受到许多看不见的因素的困扰,包括社会风险、文化风险、地形风险、天气风险、污染风险、过敏风险、组织风险等。大公司可能会失去他/她的声誉或生命。在这方面,研究人员被绑架或死亡的案例数不胜数。所有这些风险都必须包含在研究计划中,以避免生命、财产或声誉的损失。

基于以上信息,不建议个人进行实地研究。在这方面强烈建议进行小组工作。此类组的基本要求是在 i 上进行培训。心肺复苏术(CPR)或急救课程;
ii. 疾病控制和预防;
iii. 使用通讯设备进行本地和国际救援计划;
iv. 使用个人防护设备;
v. 病媒目录。
加州大学伯克利分校环境、健康与安全 (OEHS) 办公室提供了一个图表,该图表应指导各国的实地研究,如表 4.5 所示。实地研究的另一个非常重要的方面是接触某些疾病媒介,如蝙蝠、啮齿动物和蚊子。在刚果民主共和国,蝙蝠被称为埃博拉病毒的主要传播者,到 2019 年,埃博拉病毒已经夺走了超过 100 万人的生命。蚊子在热带地区很常见。接触按蚊的蚊子可能会导致疟疾。每年约有 7 亿人死于蚊媒疾病。埃及伊蚊将寨卡、登革热、基孔肯雅热和黄热病传播给人类。接触啮齿动物可能会导致疲劳、发烧、肌肉酸痛,有时还会导致头痛、头晕、寒战、腹部问题、咳嗽和呼吸急促。

数学代写|数值方法作业代写numerical methods代考

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