的:我们是在谈论同样的事情吗?
Søren Nors Nielsen1, Felix Müller2
1Department of Chemistry and Bioscience, Section for Bioscience and Engineering, Sustainable Bioresource Technology, Aalborg University, A.C. Meyers Vænge 15, DK-2450 Copenhagen, Denmark.
Entropy (Basel, Switzerland)
|September 28, 2023
概括
研究人员经常误解和滥用生态学中的"",导致混乱. 更清晰的定义和精确的语言对于在生态学研究中推进热力学至关重要.
科学领域:
- 生态生态学 生态生态学
- 热力学是一种热力学.
- 生态建模 生态建模
背景情况:
- 使用热力学,,生态学和生态系统等术语的出版物迅速增加.
- 在生态研究中,对核心术语的理解和应用存在重大差异,特别是.
- 不同的科学背景和生态学分学科有助于对的不同解释.
研究的目的:
- 调查在生态研究中对的各种解释和应用.
- 突出由于语言不准确和热力学和生态学的科学背景不同而引起的混乱.
- 在未来的出版物中倡导更清晰的定义和更精确的语言.
主要方法:
- 文献综述和研究论文的分析在热力学和生态学的交叉点.
- 在生态环境中检查的应用,包括Shannon-Weaver/Wiener指数.
- 识别态函数的统计/分布应用与真正的热力学方法之间的差异.
主要成果:
- 在生态学研究中对的定义和使用的广泛变化.
- 常见的错误应用性函数用于统计分析而不是能量流量描述.
- 由于术语不准确,在关于生态效率和自然 telos 的讨论中出现了混乱.
- 在众多出版物中缺乏对热力学函数的明确定义.
结论:
- 生态学中的热力学领域在术语上存在模两可,特别是关于的术语.
- 不同的解释源于研究人员的不同背景和特定的生态子学科.
- 要求更精确的语言和清晰的热力学函数定义是解决困惑的必要条件.
- 标准化术语将改善对生态热力学的理解和发展.
相关概念视频
Entropy
30.3K
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
30.3K
Entropy and the Second Law of Thermodynamics
2.9K
The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
The relation between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
2.9K
The Second Law of Thermodynamics
5.4K
In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Scientists refer to the measure of randomness or disorder within a system as entropy. High entropy means high disorder and low energy. To better understand entropy, think of a student’s bedroom. If no energy or work were put into it, the room would quickly become messy. It would exist in a very disordered state, one of high entropy. Energy must be...
5.4K
Entropy Change in Reversible Processes
2.6K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.6K
Third Law of Thermodynamics
19.0K
A pure, perfectly crystalline solid possessing no kinetic energy (that is, at a temperature of absolute zero, 0 K) may be described by a single microstate, as its purity, perfect crystallinity,and complete lack of motion means there is but one possible location for each identical atom or molecule comprising the crystal (W = 1). According to the Boltzmann equation, the entropy of this system is zero.
19.0K
Second Law of Thermodynamics
23.9K
In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Processes that involve an increase in entropy of the system (ΔS > 0) are very often spontaneous; however, examples to the contrary are plentiful. By expanding consideration of entropy changes to include the surroundings, a significant conclusion regarding the relation between this property and spontaneity may be reached. In thermodynamic...
23.9K


