First, the challenge requires providing data about the water quality by the detection of water contaminants such as chlorophyll-a concentration, TSM (total suspended matter) concentration, weathering of rocks, and the discharge of urban sewage.

Solving the problem of the decrease in water quality is quite important as water is one of the main things which is used every day for drinking, cooking and other daily activities, so if the water quality decreased by the factors I mentioned up, it will not be drinkable, so it could cause many diseases for people and animal which will use it, also this water will not be suitable for irrigation and cultivation, moreover, fish in this water will be adversely affected. So, this will harm the ecosystem. All these problems could be avoided with our project as it could determine the water quality according to many factors and help scientists to know the places which have low water quality.

Moreover, we developed a technology that detects the quality of water according to different factors that are chlorophyll-a concentration, TSM (total suspended matter) concentration, weathering of rocks, and the discharge of urban sewage, and this is done by amazing technologies such as IoT as we will use the sensors to collect data, this data will be transferred to aws clouds through the internet and all this data will be integrated and analyzed by power business intelligence to determine the quality of water.

Furthermore, the project works by three main technologies IoT (internet of things), aws clouds, and data integration technique which is power business intelligence, first an IoT component is raspberry pi will be used to collect data by sensors and the raspberry pi contains a built-in internet module to transfer data to an aws cloud, we used aws clouds as it has many advantages as they are better than offline servers, they can store an infinite quantity of data, it efficient as it works by pay for what you use unlike the offline servers and it offers better data security. The aws clouds will transfer the data to an integration data technique which is power business intelligence, this technique uses the collected data from aws clouds to integrate and analyze this data to provide information about the quality of water.

We hope to achieve many goals such as determining accurately the water quality according to many different factors such as chlorophyll-a concentration, TSM concentration (total suspended matter), weathering of rocks, and the discharge of urban sewage, this data will help scientists to specify places which have low water quality and according to this data they will know the type of danger, for example, the high concentration of chlorophyll-a in this water, and its percentage. Also, our project will help to increase the awareness of the water quality in all the world countries to avoid using low-quality water, which contains many contaminants, because it can cause many diseases and it could harm the fertilizers if this water is used for irrigation and the food which will be cultivated will be toxic.

My team and I chose this challenge as water represents 71% of the earth's surface so it is from the main things that are used by all organisms each day and it is used in drinking, cultivation, irrigation and it has some sources of food such as fish. Also, water participates in many body processes such as regulates body temperature. So, if water quality decreases, a defect in the ecosystem will happen, and this water will be undrinkable, not suitable for use, and will cause many diseases for organisms who will use it, from these diseases is diarrhoeal disease.

Our approach to developing this project was following the EDP (Engineering design process) and we started with defining the problem, then we searched and checked the data resources on the eodashboard, then we searched on the internet for previous solutions then we developed this solution, and came up with our idea.

The tools we used are a raspberry pi (hardware), which is an IoT component, and it contains a built-in internet module to transfer data which is collected by sensors to aws clouds which will be used to store the data, we used aws clouds (software) as they are better than offline servers as they can store huge amount of data about the daily report of water quality and this data will be stored as My sequel database (software) and this data will be integrated by power business intelligence (software) to analyze data to give understandable information about the quality of water according to different factors. We used python coding language and we used Tensor flow.py which is a python library, we used python as it is from the best coding languages in the AI section.

We faced one problem as to how can we integrate our project to the Earth Observing dashboard, so we searched and we found how to integrate it with the Earth Observing dashboard by us collecting the data from the raspberry pi sensors and store them in a CSV and upload them to aws cloud by the internet module which is built-in the raspberry pi and we achieved our goals by detecting water quality with amazing technologies and less cost.

From the space agency data, links and sources; we know the influencing factors which make the water purity bad during the COVID-19 pandemic. The temperature changes from the COVID-19, scientists noticed that the humidity percentage increased 0.25 degrees above the ground for each month from 2020 and as water is polluted, it has consequences like respiratory diseases, and this is like COVID-19, so it helps to spread the epidemic from many sources in our lives. Thus, scientists explored the links between the following very important needs Temperature, humidity, and mortality rates from COVID-19. The change of temperature in life makes a change in water temperature by helping humidity that affects water density, pH, Metabolic rates, Dissolved oxygen, and other dissolved gas concentrations. The presence of chlorophyll is an indicator of the presence of algae and algae are found in several places in the earth and move from one region to another as a result of geographical influences. When it moves to coastal places or there is water in it, it affects it negatively and makes its quality bad, and affects the fertilizers near the coasts of rivers, thus harming crops and food for humans. Total Suspended Matter (TSM), The concentration of TSM is high in the coastal areas due to the resuspension of terrestrial or marine particles by waves, currents, and tides.

https://drive.google.com/drive/folders/1LtLPzjvxkEQGBPz5uJgBdCScNJIAQVic?usp=sharing

We will use a raspberry pi as the hardware and tensorflow.js for the code Tensor flow is the best since it is cross-platform and also fast in compiling. We will use Google Colab for writing the code and then it will be integrated with raspberry bi so we can control what the sensors will detect and what results will be returned by the IoT device. Then the data we collect will be stored in a CSV file which is the best file format for machine learning then we will upload it to aws cloud by the internet module which is built-in in the raspberry pi.

https://collections.eurodatacube.com/tag/dashboard-hackathon/

The main site that we used to collect most of the information about factors or water quality and different satellites

https://climate.copernicus.eu/climate-information-support-covid-19-research

https://collections.eurodatacube.com/wind_10m_u/readme.html

from these two links we get information about COVID-19 that shows the effect of temperature and humidity from 2020 to now

https://collections.eurodatacube.com/tsmn_water_quality_saturday/

Here we know the Chlorophyll and its negative effect on the environment and the (TSM) and the algae and their influence on water and plants

https://collections.eurodatacube.com/jaxa_wq_tsm_average/

https://collections.eurodatacube.com/jaxa_wq_tsm/

https://collections.eurodatacube.com/jaxa_wq_chla_average/

From these links, we get the effect of humidity, temperature, etc. Knowing the places that exposed to COVID-19 and that affect by these factors, by identifying the factors and the ways that affect the environment, we can know a lot of information about factors that affect water and change its quality and know how to deal with these factors.

https://www.fondriest.com/environmental-measurements/parameters/water-quality/water-temperature/

This link helps us to know the effect of changing the water temperature and its factors.

#water quality #technology

This project has been submitted for consideration during the Judging process.