EO Dashboard Hackathon

hope | Looking at the Big Picture

Looking at the Big Picture

The COVID-19 pandemic offered an unprecedented opportunity to look at changes in the Earth system in response to reduced human activity. Your challenge is to develop tools to better understand changes in the interconnected Earth system as seen through the EO Dashboard.

how to identify water quality from air quality

Summary

my idea depend on that there is relation between co2 present in atmosphere and production of algae in oceans and seas. so by knowing approximately present of algae we can know the level of water quality, also amount of algae (chlorophyll-a) is indicator for Chl, and TSM concentrations., which are indicators of algae abundance and its productivity, and somehow indicators for water quality.so we see that is direct relation can mathematically be calculated.

How I Addressed This Challenge

Due to the COVID-19 pandemic, scientists have observed considerable decreases in carbon dioxide levels around the world.

Algae can consume more carbon dioxide than trees because it can cover more surface area, grow faster, and be more easily controlled by bioreactors, given its relative size.

Land-based plants contribute 52% of the total carbon-dioxide absorbed by the earth's biosphere, while ocean-based algae contributed 45% to 50% of that, which means that despite their small size, algae can absorb carbon-dioxide efficiently because of their comparatively short life cycles.

Overall and for example, the reduction is roughly 2 billion tons of carbon dioxide, completely unprecedented.

from data on the dashboard we can notice and predict the change occurred over the year of pandemic "using law of gas concentration at given temperature and pressure for ideal gas" , we can find the relation relate algae with gas presentation change … also by representing this relation in coding form and make calculator for algae present.

from these data we can calculate approximately the present change of algae (chlorophyll-a) in ocean and seas according to its region, knowing the present of algae give us many indicators about water quality, as Algae are valuable indicators of ecosystem conditions because they respond quickly both in species composition and densities to a wide range of water conditions due to changes in water…algae genera are dominant, present or absent in these nutrient-affected water bodies, can identify present of TSM and from which water quality present.

the challenge discuss how we make integration between earth parameters and that what we do, so they are very related.

How I Developed This Project

it was challenging for our team to learn about water quality with other earth parameter like co2 concentration in air. our project just depend on mathematical calculations for co2 concentration in the air and relate it with the present that algae consume per day or year, we was able to represent these equation by coding an calculator for these present by average, according to co2 present we can know the present of algae in the water in certain region and from which we can predict water quality too.

How I Used Space Agency Data in This Project

the data available on the platform was very helpful, it showed details about the quality of air and water, the difference in the percentage of carbon dioxide in the atmosphere, and information about the concentration of algae and its change in the last period due to the pandemic.

However it was not accurate in his information … as it does not provide clear figures and percentages of those changes happened during the pandemic, which I searched for on other sites.

But it was enough to show me the big idea and basic information.

Project Demo

https://drive.google.com/folderview?id=1NPBBoT6KPI-KdwNtRWxvcVc-gna9GBcM

Earth Observing Dashboard Integration

we learn about changes occurred due to COVID 19, as reduced co2 concentration that affected water quality, also learn about chl conc. reduction that is an indicator for algae concentration reduced because of change in human activity related to shutdown.

these data helped us make big idea about make integration between these parameter that will help in learn about water quality and solve the challenge.

used links:

https://earthdata.nasa.gov/covid19/discoveries/air-quality/aq-and-covid

https://earthdata.nasa.gov/covid19/discoveries/air-quality/what-makes-aq-good-or-bad

https://earthdata.nasa.gov/covid19/indicators/co2

https://earthdata.nasa.gov/covid19/indicators/water-quality

https://earthdata.nasa.gov/covid19/discoveries/climate/climate-change-and-covid

https://earthdata.nasa.gov/covid19/discoveries/climate/co2-emissions-during-lockdowns

https://earthdata.nasa.gov/covid19/discoveries/climate/difference-between-co2-no2

https://earthdata.nasa.gov/covid19/discoveries/climate/co2-natural-carbon-cycle

https://earthdata.nasa.gov/covid19/discoveries/climate/oco2-and-gosat

https://earthdata.nasa.gov/covid19/discoveries/climate/looking-for-needle-in-haystack

https://earthdata.nasa.gov/covid19/discoveries/climate/not-all-changes-related-to-pandemic

https://earthdata.nasa.gov/covid19/discoveries/climate/co2-changes-over-large-urban-areas

https://earthdata.nasa.gov/covid19/discoveries/climate/what-we-have-learned

https://eodashboard.org/?poi=W2-N1

https://scihub.copernicus.eu/

https://www.eorc.jaxa.jp/water/

https://eodashboard.org/?poi=IT6-

Data & Resources