不同土地覆盖面的BMP计划的有效性,随机,有针对性和优化分配
Zeshu Zhang1, Hubert Montas1, Adel Shirmohammadi2
1Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, United States.
The Science of the total environment
|May 28, 2023
概括
优化最佳管理实践 (BMP) 的选择和放置,有效地控制各种景观的非点源 (NPS) 污染. 针对热点提高了效率,并减少了利益相关者的参与,以获得更好的水质结果.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 生态工程生态工程生态工程
背景情况:
- 非点源 (NPS) 污染对水质构成重大威胁.
- 有效的最佳管理实践 (BMP) 的分配对于减轻NPS污染至关重要.
- 流域特征,包括土地覆盖,影响BMP的有效性.
研究的目的:
- 调查五种BMP分配方法的有效性,以控制四个NPS成分.
- 为了比较随机与优化的BMP选择和定位策略.
- 评估从自然到城市的不同土地覆盖面的流域的BMP性能.
主要方法:
- 使用土壤水评估工具 (SWAT) 进行流域建模.
- 采用基因算法 (GA) 和专家系统来优化BMP.
- 开发了用于在模型中表示BMP和加速优化的方法.
主要成果:
- 计算密集型,优化的方法在所有景观类型中产生了卓越的NPS控制.
- 不那么密集的方法在城市化程度较低的地区显示出潜力,强调热点准.
- BMP选择和位置优化被证明是最有效的,特别是在城市化环境中.
结论:
- 优化BMP分配,特别关注热点,最大限度地提高了污染控制效率.
- 有针对性的热点方法降低了实施成本和利益相关者的参与.
- 最佳的BMP策略取决于景观,城市环境越来越复杂.
相关概念视频
Manipulation and Analysis
48
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
48
Sampling Plans
220
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
220
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
76
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...
76
Randomized Experiments
7.1K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Simple randomization
Simple...
7.1K
Design Example: Alignment of a Road Line Using GIS
75
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
75
Strategies for Assessing and Addressing Confounding
127
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...
127


