Developing Public speaking skills of undergraduate senior students for academic purposes
| Project summary
|
Indicators |
Means of verification | ||
|
Risks/Assumptions | ||||
|
Goal |
Implementing low-cost ambient air quality monitoring networks and decreasing air pollution level in Almalyk city by 10% till the end of 2024 |
Percentage of air pollution level in current year and in 2 years |
By comparing pollution level in three years |
|
|
Creation of Wireless Sensor Network for data gathering |
Efficiency analysis between implemented Polludrone and designed sensors |
Decreasing cost of sensors by creation of own object area focused wireless sensor network | ||
|
Development of database for saving and analyzing data |
Cost efficiency analysis |
Cost reduction by implementing created database rather than subscribing ready cloud platforms | ||
|
Improve public health by controlling toxic gases in the industrial zone |
Number of people suffering from asthma and cardiovascular diseases |
By comparing the number of patients with Asthma, cardiovascular diseases in the two years after the implementation of the project | ||
|
Reducing costs and preventing false information about toxic gases. |
cost for the project and installation of sensors, database |
Comparison cost of human factor of determining air pollution and sensor based system | ||
|
Creating ANN based model that illustrates future prediction and damage of air pollution on GIS model |
Statistical comparisons during time period |
Comparing predicted results and actual results | ||
|
Outcome |
This allows us to constantly know the amount of toxic gases in the area |
Average level of major poluttants: ozone (O3). Carbon monoxide(CO) Sulfur dioxide(SO2), Nitrogen dioxide (NO2), particulate matter (PM10), |
it can be measured from 0 to 500 0–50 Good 51–100 Moderate 101–200 Unhealthy 201–300 Very unhealthy 301+ Hazardous |
Determining and a factory that pollutes the air in excess of the norm and stopping this process allows to reduce pollution. |
|
|
|
fine particulate matter (PM2.5), Airborne particles, or aerosols |
|
|
|
If the amount of toxic gases in the area exceeds the average, the factory will be notified about this and will be warned that they will pay a fine if they do not reduce the amount of toxic gases. |
AQI(Air quality index) |
0–50 Good 51–100 Moderate 101–200 Unhealthy 201–300 Very unhealthy 301+ Hazardous |
The presence of toxic gases in moderation has a good effect on public health. If the gas limit is exceeded, the fines paid by the factories will be used to improve public health | |
|
They will be able to get information about the level of air pollution in the area without going anywhere |
Average level of major pollutants |
Database provided updated information |
This reduces the human factor in measuring and controlling toxic gases in the air | |
|
Output |
The level of toxic gas received by sensors is saved on database |
Average level of major pollutants |
Sensor technology works with wi-fi |
The data about emission level is updated twice every day |
|
Then the toxic gas level can be compared with the level of pollution in the area near the factories |
Level of pollutants in nearby factories and densely populated areas |
Level of pollutants in nearby factories and densely populated areas will be compared |
This helps to know the exact average amount of greenhouse gases in the area. | |
|
A special monitoring team deployed under the Environment Committee monitors information on toxic gases. |
Number of people who monitor |
They consider and control pollution level daily basis |
They send an alarm to factories where the amount of toxic gases exceeds the specified amount. | |
|
Activities |
Creating quarterly reports for air pollution levels in object area |
Number of reports |
Responsible team members evaluate situation object are by site visits also |
Reports illustrate current state of study object |
|
Installing around 20 sensors around industries and 10 sensor in city |
Number of sensors |
They will be installed near factories and inhabited areas |
Sensors will measure the level of pollution nearby factories and air quality index in city | |
|
|
Creating database |
The database stores acquired data from sensors and implemented for analysis |
The index figures enable the public to determine whether the air pollution levels in a particular location are good, unhealthy, hazardous or |
The data from all sensors will be continuously delivered to the database |
|
Placing air quality sensors that determine the quality of air in nearby populated areas |
Number of devices according to the population |
They will be installed in highly populated areas |
Air quality sensor measures the level of pollution in densely populated areas | |
|
|
Creation of Monitoring Software |
Acquired data from Wireless sensors network |
Stored information are accessed through software and monitored |
System notifies if some enterprise emits more than limited |
|
Creation of ANN model for future predictions |
ANN model |
ANN model shows the state of object are by GIS model |
Model predicts air pollution damage for current location |
Yüklə 328,52 Kb.
Dostları ilə paylaş:
