相关实验视频
Updated: May 13, 2025

12:44
Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
7.9K
基于机器学习和空间集群分析的工业污染源和地下水漏洞之间的空间相关性框架:对风险控制的影响
Rui Zhou1, Jian Chen2, Haobo Bian3
1College of New Energy and Environment, Jilin University, Changchun 130021, China.
Journal of hazardous materials
|May 11, 2025
概括
这项研究开发了一个数据驱动的框架,通过分析工业来源和脆弱性之间的空间联系来绘制地下水污染风险. 这种方法改善了地下水保护的风险控制策略.
科学领域:
- 环境科学 环境科学
- 水文地质学 水文地质学
- 数据科学数据科学数据科学
背景情况:
- 地下水污染风险控制受到污染源和含水层脆弱性之间的空间关系的不充分理解的阻碍.
- 有效的管理需要详细的空间相关性分析.
研究的目的:
- 开发和应用一种新的数据驱动框架,以揭示工业污染源和地下水漏洞之间的空间相关性.
- 加强中国广东省地下水污染风险评估和控制战略.
主要方法:
- 一个混合模型将遗传算法 (GA) 和反向传播神经网络 (BPNN) 结合起来,对DRASTICL模型的指标进行客观权重,创建地下水脆弱性地图.
- 核密度估计 (KDE) 用于平滑工业污染源分布.
- 双变局部莫兰的I (BLMI) 产生污染源和地下水漏洞的空间聚类地图.
主要成果:
- 该GA-BPNN-DRASTICL模型成功地减少了地下水脆弱性映射的指标权重的主观性.
- KDE提供了工业污染源分布的平滑表示.
- BLMI有效地可视化了空间聚类,突出了工业污染和地下水脆弱性较高的地区.
结论:
- 综合数据驱动框架为评估地下水污染风险提供了可靠的方法.
- 这些发现为不同地区的针对性地下水污染控制措施提供了关键的见解.
- 这种方法可以显著提高地下水资源管理和保护的有效性.
相关概念视频
Manipulation and Analysis
14
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...
14
Levels of Use of a GIS
20
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
20
Selected Data About Geographic Locations
17
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
17
GIS Software, Hardware, and Sources of GIS Data
33
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
33
Applications of GIS: Disaster Management and Emergency Response
22
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
22

