Predicting Trends in Air Pollution in Delhi using Data Mining

被引：0

作者：

Taneja, Shweta ^{[1
]}

Sharma, Nidhi ^{[2
]}

Oberoi, Kettun

Navoria, Yash

机构：

[1] Bhagwan Parshuram Inst Technol, Comp Sci & Engn, Delhi, India

[2] Bhagwan Parshuram Inst Technol, Appl Chem, Delhi, India

来源：

2016 1ST INDIA INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING (IICIP) | 2016年

关键词：

Air Pollution; Linear Regression; Multilayer Perceptron; MEGACITY DELHI;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Over the past years the development and urbanization in Delhi has led to increase in air pollution. This has led to study and research in this area. We have used data mining to analyze the existing trends in air pollution in Delhi and make prediction about the future. The data mining techniques used are linear regression and multilayer perceptron. We have seen the trends of various air pollutants like sulphur dioxide(SO2), nitrogen dioxide (NO2), particulate matter (PM), carbon monoxide (CO), ozone (O-3). By using the above techniques we have observed that there will be an increase in amount of PM10 by 45.9% in coming years. However amount of CO and NO2 may show slight increase due to increasing number of 2 wheelers on road. The other pollutants like SO2 may show decrease due to usage of non sulphur fuel and stringent pollution control measures.

引用

页数：6

共 50 条

[1] Prediction of Air Pollution of Boushehr City Using Data Mining
Sahafizadeh, Ebrahim
Ahmadi, Esmail
[J]. PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON ENVIRONMENTAL AND COMPUTER SCIENCE, 2009, : 33 - +
[2] DATA MINING METHODS FOR PREDICTION OF AIR POLLUTION
Siwek, Krzysztof
Osowski, Stanislaw
[J]. INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, 2016, 26 (02) : 467 - 478
[3] Air pollution at a hotspot location in Delhi: Detecting trends, Seasonal cycles and oscillations
Kandlikar, Milind
[J]. ATMOSPHERIC ENVIRONMENT, 2007, 41 (28) : 5934 - 5947
[4] A STUDY ON OUTDOOR AIR POLLUTION AND NOISE DATA COLLECTED USING SENSOR DEVICES IN DELHI, INDIA
Prasad, Poonam
Raut, Piyush
Barnwal, Rajesh P.
Bodhe, Ghanshyam L.
[J]. ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, 2023, 22 (06): : 1009 - 1018
[5] Estimation of Air Pollution in Delhi Using Machine Learning Techniques
Srivastava, Chavi
Singh, Shyamli
Singh, Amit Prakash
[J]. 2018 INTERNATIONAL CONFERENCE ON COMPUTING, POWER AND COMMUNICATION TECHNOLOGIES (GUCON), 2018, : 297 - 302
[6] Predicting residential indoor air pollution concentrations using GIS and questionnaire data
Baxter, L.
Clougherty, J.
Levy, J.
[J]. EPIDEMIOLOGY, 2006, 17 (06) : S218 - S218
[7] Data Mining Approach to Predict Air Pollution in Makassar
Aini, Nurul
Mustafa, M. Syukri
[J]. PROCEEDINGS OF ICORIS 2020: 2020 THE 2ND INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEM (ICORIS), 2020, : 73 - 77
[8] PERFORMANCE EVALUATION AND NUMERICAL SIMULATION OF AIR POLLUTION REDUCTION USING DATA MINING ALGORITHMS
Wang, Fang
Chen, Yan
[J]. FRESENIUS ENVIRONMENTAL BULLETIN, 2020, 29 (7A): : 5746 - 5755
[9] Self Configurable Air Pollution Monitoring System Using IoT and Data Mining Techniques
Binsy, M. S.
Sampath, Nalini
[J]. INTERNATIONAL CONFERENCE ON INTELLIGENT DATA COMMUNICATION TECHNOLOGIES AND INTERNET OF THINGS, ICICI 2018, 2019, 26 : 786 - 798
[10] Predicting Career Using Data Mining
Arafath, Md. Yeasin
Saifuzzaman, Mohd.
Ahmed, Sumaiya
Hossain, Syed Akhter
[J]. 2018 INTERNATIONAL CONFERENCE ON COMPUTING, POWER AND COMMUNICATION TECHNOLOGIES (GUCON), 2018, : 889 - 894

← 1 2 3 4 5 →