控制城市空气污染:一个成本效益评估
1Resources for the Future, Washington, DC 20036.
概括
估计空气质量改善的好处和成本,特别是对臭氧的减少,表明拟议的控制可能比它们提供的好处更昂贵. 这项分析重点关注挥发性有机化合物和颗粒物,包括洛杉矶地区.
科学领域:
- 环境经济学环境经济学
- 对空气污染进行控制.
- 公共卫生影响评估 公共卫生影响评估
背景情况:
- 社会资源分配需要对改善空气质量的成本效益分析.
- 地平面臭氧和颗粒物是令人担忧的关键污染物.
- 洛杉矶大都会地区经常违反空气质量标准.
研究的目的:
- 估计拟议的空气质量控制战略的经济效益和成本.
- 评估主要针对挥发性有机化合物 (VOC) 的控制措施,以减少臭氧层.
- 在国家和地区 (洛杉矶) 层面评估改善空气质量的经济可行性.
主要方法:
- 经济建模以量化污染控制的好处和成本.
- 专注于通过挥发性有机化合物 (VOC) 控制来减少地面层臭氧.
- 考虑颗粒物控制策略.
- 评估适用于整个美国和洛杉矶大都会地区.
主要成果:
- 据估计,与拟议的空气质量控制措施相关的成本超过了它们的好处.
- 这种成本效益失衡是潜在的重大.
- 估计中存在不确定性,影响了最终的经济评估.
结论:
- 目前提出的空气质量控制措施,特别是通过挥发性有机化合物减少臭氧,可能在经济上没有效率.
- 这些发现表明,需要重新评估空气质量管理的资源配置.
- 需要进一步的研究来解决空气污染控制的成本效益分析中的不确定性.
相关概念视频
Physiological Control of Respiration
Introduction
Breathing, a seemingly passive process, is regulated by the respiratory center in the brainstem. This center coordinates the involuntary control of respirations, which means it occurs without conscious effort, ensuring a smooth and uninterrupted pattern.
Regulation of Ventilation
The body maintains ventilation by monitoring levels of carbon dioxide (CO2), oxygen (O2), and hydrogen ion concentration (pH) in the arterial blood. Among these factors, the level of CO2 plays a crucial...
Breathing, a seemingly passive process, is regulated by the respiratory center in the brainstem. This center coordinates the involuntary control of respirations, which means it occurs without conscious effort, ensuring a smooth and uninterrupted pattern.
Regulation of Ventilation
The body maintains ventilation by monitoring levels of carbon dioxide (CO2), oxygen (O2), and hydrogen ion concentration (pH) in the arterial blood. Among these factors, the level of CO2 plays a crucial...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Strategies for Assessing and Addressing Confounding
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Environmental Applications of Microorganisms
Microorganisms play a pivotal role in maintaining ecosystem balance by recycling essential elements such as carbon, nitrogen, and phosphorus, as well as supporting processes like bioremediation, wastewater treatment, and biofuel production.Microbes in Elemental CyclesIn the carbon cycle, microorganisms decompose organic matter, releasing carbon dioxide via aerobic respiration. This carbon dioxide is subsequently used by photosynthetic organisms to synthesize organic compounds, closing the...
Linear Approximations
For a differentiable function of two variables, linear approximation estimates values near a known point by replacing the curved surface with its tangent plane. Consider the function\begin{equation*}f(x,y)=x^2+3y^2\end{equation*}near the point (2, 1). The exact value at this point is f(2, 1) = 22 + 3(1)2 = 4 + 3 = 7.The linear approximation of f(x, y)) near (a, b) is\begin{equation*}L(x,y)=f(a,b)+f_x(a,b)(x-a)+f_y(a,b)(y-b)\end{equation*}First, compute the partial derivatives: fx(x, y) = 2x and...


