相关实验视频

Updated: Jun 2, 2025

Automated, High-resolution Mobile Collection System for the Nitrogen Isotopic Analysis of NOx

Automated, High-resolution Mobile Collection System for the Nitrogen Isotopic Analysis of NOx

Published on: December 20, 2016

影响城市地区NO₂度空间时间变化的因素:基于GIS和遥感的方法

Al Jubaer^1,2, Rakib Hossain^2,3, Afzal Ahmed⁴

¹Department of Civil Engineering, United International University, United City, Madani Ave, 1212, Dhaka, Bangladesh.

Environmental monitoring and assessment

|January 13, 2025

概括

这项研究分析了孟加拉国加济普尔的二氧化 (NO2) 污染,发现与温度和城市发展相关的较高水平. 调查结果支持制定针对性战略,为发展中国家城市的空气清洁提供支持.

科学领域:

环境科学环境科学
大气化学大气化学
城市规划城市规划

背景情况:

全球城市空气质量日益关注,需要了解二氧化 (NO2) 动态.
孟加拉国加济普尔面临严重的空气质量挑战,使其成为一个关键的研究领域.

研究的目的:

分析2019-2022年加西普尔NO2度的时空分布.
调查NO2水平与环境/人类因素之间的相关性.
为发展中国家的城市空气质量管理战略提供见解.

主要方法:

使用 Sentinel-5P TROPOMI卫星数据通过谷歌地球引擎 (GEE) 进行NO2分析.
使用相关性和回归分析来评估与陆地表面温度 (LST),NDVI,LULC,人口,道路,定居点和工业密度的关系.

主要成果:

在NO2度中观察到显著的季节性变化,2021年冬季显示出最高的年平均值.
在NO2和LST,道路密度,定居点密度和工业密度之间发现了正相关性.
在NO2和正常化差异植被指数 (NDVI) 之间发现了负相关性.

结论:

二氧化的度受到LST,道路,定居点和工业密度的显著影响,反过来则受到植被的影响.
调查结果强调了加济普尔需要加强绿色基础设施,排放控制和可持续城市发展的需要.
该研究为发展中国家的城市空气质量管理提供了有价值的数据和方法.

关键词:

专注集中集中集中地理信息系统 (GIS) 是一个加济普尔 - 达卡线路二氧化 (NO2) 是一种有毒的物质.时间空间的模式.城市空气质量城市空气质量

更多相关视频

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

Measurement of Greenhouse Gas Flux from Agricultural Soils Using Static Chambers

Measurement of Greenhouse Gas Flux from Agricultural Soils Using Static Chambers

Published on: August 3, 2014

相关概念视频

Selected Data About Geographic Locations

Selected Data About Geographic Locations

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...

Levels of Use of a GIS

Levels of Use of a GIS

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...

GIS Software, Hardware, and Sources of GIS Data

GIS Software, Hardware, and Sources of GIS Data

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...

Introduction to GIS

Introduction to GIS

Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...

Manipulation and Analysis

Manipulation and Analysis

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...

Thematic Layering in GIS

Thematic Layering in GIS

In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...