omdena-bhopal-water-quality-monitoring - GitLite

KO | EN

gitlite — search

#docker #monitoring #editor #proxy #typescript #git #codex #nlp #anthropic #api

omdena-bhopal-water-quality-monitoring

(★ 21)

Monitoring the Water Quality in Bhopal Region using Satellite Imagery.

파일 탐색기

ZIP 다운로드

- - chapterLogo.png
  - data_collection_dashboard_video.mp4
  - DO vs C vs Turb.png
  - DO,cholorophyll & Turbidity@1.5x.png
  - Drinking Water Quality.png
  - Quality of water@1.5x.png
  - Temperature Conclusion@1.5x.png
  - Temperature-Dash.png
- README.md
- - Bhopal Water Quality Monitoring Resources .docx
  - README.md
- - .gitignore
  - cords.py
  - datcollection_dashboard.mp4
  - Hathaikheda.csv
  - logo.png
  - main.py
  - merged_data.csv
  - merged_data_lowerlake.csv
  - Parameter-Thresholds.png
  - README.md
  - requirements.txt
  - SarangpaniLakefinal.csv
  - styles.css
  - test.py
  - UPlake.csv
- - README.md
- - README.md
- - README.md
- - README.md
- - README.md
  - Untitled.ipynb
- README.md
- coordinates.json
- main.py
- parameters.py
- polygon.py
.gitignore
File_Tree.md
LICENSE
README.md
Standard_function.ipynb

# CDN으로 사용하기

jsDelivr

jsDelivr는 공개 GitHub 리포지토리를 별도 설정 없이 CDN으로 즉시 서빙합니다. 버전과 파일을 고르면 웹페이지에 바로 붙일 수 있는 링크와 예시 코드가 만들어집니다.

버전

파일

링크

예시

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

## **THE BACKGROUND**:
In the 1980s, the Bhopal region experienced one of the worst industrial disasters marked to date. The catastrophe raised awareness about industrial pollution. The water quality of the lakes in Bhopal has been significantly impacted by the 1984 gas tragedy. The release of toxic chemicals from the Union Carbide India Limited (UCIL) pesticide plant has contaminated the ground and surface water in the area, including the lakes. Tests conducted on the groundwater in communities situated around the Union Carbide factory in Bhopal have revealed high levels of pollutants such as heavy metals like lead, mercury, cadmium, Gamma HCH, Lindane, Beta HCH, Styrene, Mercury, Alpha HCH, Alpha Naphthol, Phosgene, Dichlorobenzene, etc.

In the years that followed, the Bhopal region dealt with environmental challenges, particularly regarding water quality. The lakes are also heavily polluted with volatile organic compounds (VOCs), such as benzene and toluene, pesticides, herbicides, and Polycyclic aromatic hydrocarbons, leading to a decline in fish and other aquatic life. The water is also not safe for swimming or other recreational activities.

## **THE PROBLEM:**

Bhopal is also known as “The City of Lakes”, which indicates that Bhopal has a significant quantity of Lakes. People who live in the area are constantly in contact with chemicals assimilated in the water bodies during Gas Tragedy.  Surveys done by the Bhopal campaign groups have shown that their environment contains six of the persistent organic pollutants banned by the United Nations for their highly poisonous impacts on the environment and human health, which has now reached 42 areas in Bhopal and continues to spread. According to the Surveyors, the situation is getting worse, and second and third-generation children are being born with disabilities.

Apart from this, during the “Gas Tragedy”, MIC(methyl isocyanide) was released, which reacts with water exothermically and produces carbon dioxide, methylamine, dimethylurea, and/or trimethyl biuret, these chemicals cause adverse effects on human bodies while incorporating itself to water. Swiss lab results show chloroform concentrations as many as 3.5 times higher than drinking-water guidelines from the [World Health Organization](http://www.who.int/en/) and [U.S. EPA](http://www.epa.gov/) , and carbon tetrachloride at up to 2,400 times higher than the guidelines, which impels us to study various lakes of Bhopal.

## **THE PROJECT GOALS:**

This study aims to develop a Machine Learning system for monitoring the water quality of multiple lakes in the Bhopal region using satellite imagery and GIS techniques. The objective is to assess the water quality, detect the probable causes of water pollution and predict the potential impacts of different pollution sources on the environment and human health. The study will use a combination of **remote sensing techniques**, **image processing methods**, and **GIS tools to extract relevant information from satellite data**. Additionally, the system will enable **real-time monitoring of water quality**, allowing for timely intervention in case of any deterioration in water quality.

## Contribution Guidelines
- Have a Look at the [project structure](#project-structure) and [folder overview](#folder-overview) below to understand where to store/upload your contribution
- If you're creating a task, Go to the task folder and create a new folder with the below naming convention and add a README.md with task details and goals to help other contributors understand
    - Task Folder Naming Convention : _task-n-taskname.(n is the task number)_  ex: task-1-data-analysis, task-2-model-deployment etc.
    - Create a README.md with a table containing information table about all contributions for the task.
- If you're contributing for a task, please make sure to store in relavant location and update the README.md information table with your contribution details.
- Make sure your File names(jupyter notebooks, python files, data sheet file names etc) has proper naming to help others in easily identifing them.
- Please restrict yourself from creating unnessesary folders other than in 'tasks' folder (as above mentioned naming convention) to avoid confusion.

## Final Dashboard

https://vaasu2002-omdena-bhopal-water-quality-dashboard-main-pzjmtf.streamlit.app/#monitoring-the-water-quality-in-bhopal-region-using-satellite-imagery-and-gis-techniques

## Project Structure

├── LICENSE
    ├── README.md          <- The top-level README for developers/collaborators using this project.
    ├── original           <- Original Source Code of the challenge hosted by omdena. Can be used as a reference code for the current project goal.
    │ 
    │
    ├── reports            <- Folder containing the final reports/results of this project
    │   └── README.md      <- Details about final reports and analysis
    │ 
    │   
    ├── src                <- Source code folder for this project
        │
        ├── data           <- Datasets used and collected for this project
        │   
        ├── docs           <- Folder for Task documentations, Meeting Presentations and task Workflow Documents and Diagrams.
        │
        ├── references     <- Data dictionaries, manuals, and all other explanatory references used 
        │
        ├── tasks          <- Master folder for all individual task folders
        │
        ├── visualizations <- Code and Visualization dashboards generated for the project
        │
        └── results        <- Folder to store Final analysis and modelling results and code.
--------

## Folder Overview

- Original          - Folder Containing old/completed Omdena challenge code.
- Reports           - Folder to store all Final Reports of this project
- Data              - Folder to Store all the data collected and used for this project 
- Docs              - Folder for Task documentations, Meeting Presentations and task Workflow Documents and Diagrams.
- References        - Folder to store any referneced code/research papers and other useful documents used for this project
- Tasks             - Master folder for all tasks
  - All Task Folder names should follow specific naming convention
  - All Task folder names should be in chronologial order (from 1 to n)
  - All Task folders should have a README.md file with task Details and task goals along with an info table containing all code/notebook files with their links and information
  - Update the [task-table](./src/tasks/README.md#task-table) whenever a task is created and explain the purpose and goals of the task to others.
- Visualization     - Folder to store dashboards, analysis and visualization reports
- Results           - Folder to store final analysis modelling results for the project.

**Project Leads:** [Vaasu Bisht](https://github.com/vaasu2002) and [Eeman Majumder](https://github.com/Eeman1113)

**Management and HR:** [Sakshi Sawarkar](https://www.linkedin.com/in/sakshi-sawarkar-8546681aa)

Project Contributors in aplhabetical order:<br>

1	Aditya Bhate<br>
2	Aiswarya Jyothirmayi Devi<br>
3	Akshit Srivastava<br>
4	Aman Makwana<br>
5	Ameya Sharma<br>
6	Ananya Mohanty<br>
7	Ananya Tiwari<br>
8	Aniruddha Kumar<br>
9	Astha Srivastava<br>
10	Ayushka Behere<br>
11	Dhruvil Jain<br>
12	Kshitij Singh<br>
13	Lauren Williams<br>
14	Modekurthi Subrahmanya Satwick <br>
15	Muskaan Bahri<br>
16	Navneet Lamba<br>
17	Pranav Pratyush<br>
18	Punya Saraogi<br>
19	Pushpendra Kushwaha<br>
20	Qurat Ul Aaein<br>
21	Raj Mansuriya<br>
22	Reem Abdel-Salam<br>
23	Rishit Chugh<br>
24	Rishita Bansal<br>
25	Sayan Kumar<br>
26	Shantanu Sugriv Kshirsagar<br>
27	Shashank Singh<br>
28	Shilpa Gollamudi<br>
29	Shinjan Verma<br>
30	Sourav Dutta<br>
31	Srijeeta Mukherjee<br>
32	Vimukta Dashora<br>
33	Wallace Ferreira<br>