环境影响评估中的替代方案:一个分类学
Álvaro Enríquez- de-Salamanca1,2
1Department of Biodiversity, Ecology and Evolution, Faculty of Biological Sciences, Universidad Complutense de Madrid, Madrid, Spain.
Integrated environmental assessment and management
|September 30, 2025
概括
环境影响评估 (EIA) 的不足源于对替代方案的不充分考虑. 本研究提出了一种分类法,通过澄清合理的替代方案及其类型来改善EIA决策.
科学领域:
- 环境科学 环境科学
- 环境政策 环境政策
- 决策科学 决策科学 决策科学
背景情况:
- 替代方案对于环境影响评估 (EIA) 是至关重要的,但往往没有得到充分的解决.
- 缺乏兴趣和有限的理解等因素阻碍了EIA中有效考虑替代方案.
- 不合理的替代方案 (错误的,人造的,微妙的) 可以对环境影响评估过程产生负面影响.
研究的目的:
- 解决文献中关于EIA中的替代方案的模两可.
- 提出一个全面的分类系统来对EIA中的替代品进行分类.
- 通过提高对可能性的认识,加强对EIA实践中的替代方案的考虑.
主要方法:
- 确定三种类型的不合理的替代方案.
- 开发一个分为七组的分类系统来分类替代方案 (实施,空间,时间,功能,设计,构建,操作).
- 分析替代方案如何解决为什么,在哪里,什么时候,什么以及如何的问题.
主要成果:
- 定义了三个类别的不合理的替代方案,可以扭曲EIA.
- 提出了一个新的分类学,将替代品分为七个不同的组.
- 展示了分类学如何澄清替代品的范围和性质.
结论:
- 一个强大的分类学增强了对EIA中的替代方案的考虑.
- 早期整合替代方案,特别是在范围确定过程中,对于加强EIA至关重要.
- 积极参与替代方案将EIA从授权转变为决策工具.
相关概念视频
Environmental Applications of Microorganisms
969
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...
969
Null and Alternative Hypotheses
12.0K
The actual hypothesis testing begins by considering two hypotheses. They are termed the null hypothesis and the alternative hypothesis. These hypotheses contain opposing viewpoints.
The null hypothesis, denoted by H0 is a statement of no difference between the variables—they are not related. This can often be considered the status quo. As a result if you cannot accept the null, it requires some action.
The alternative hypothesis, denoted by H1 or Ha, is a claim about the...
The null hypothesis, denoted by H0 is a statement of no difference between the variables—they are not related. This can often be considered the status quo. As a result if you cannot accept the null, it requires some action.
The alternative hypothesis, denoted by H1 or Ha, is a claim about the...
12.0K
Decision Making: P-value Method
6.8K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
6.8K
Types of Impact
1.0K
Impacts can be classified in various forms, primarily under two subgroups: central impact and oblique impact. A central impact occurs when two objects collide head-on, possessing opposite velocities aligned along the line of impact. Conversely, an oblique impact occurs when two objects collide at an angle, resulting in a modification of both direction and velocity.
The coefficient of restitution is a metric for understanding the dynamics of impacts. It quantifies the ratio of relative velocity...
The coefficient of restitution is a metric for understanding the dynamics of impacts. It quantifies the ratio of relative velocity...
1.0K
Criteria for Causality: Bradford Hill Criteria - II
1.1K
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
1.1K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
286
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
286


