Analysis and Forecast of Mining Fatalities in Cherat Coal Field, Pakistan
Mineral exploitation contributes to the economic growth of developing countries. Managing mineral production brought a more disturbing environment linked to workers' causalities due to scarcities in the safety management system. One of the barriers to attaining an adequa...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Society of Economic Geologists and Mineral Technologists
2020-12-01
|
| Series: | International Journal of Economic and Environment Geology |
| Subjects: | |
| Online Access: | https://www.econ-environ-geol.org/index.php/ojs/article/view/511/336 |
| _version_ | 1818398385620647936 |
|---|---|
| author | Sajid Khan, Kausar Sultan Shah, Naeem Abbas, Abdur Rahman, Naseer Muhammad Khan. |
| author_facet | Sajid Khan, Kausar Sultan Shah, Naeem Abbas, Abdur Rahman, Naseer Muhammad Khan. |
| author_sort | Sajid Khan, Kausar Sultan Shah, Naeem Abbas, Abdur Rahman, Naseer Muhammad Khan. |
| collection | DOAJ |
| description | Mineral exploitation contributes to the economic growth of developing countries. Managing mineral production brought a more disturbing environment linked to workers' causalities due to scarcities in the safety management system. One of the barriers to attaining an adequate safety management system is the unavailability of future information relating to accidents causing fatalities. Policymakers always try to manage the safety system after each accident. Therefore, a precise forecast of the number of workersfatalities can provide significant observation to strengthen the safety management system. This study involves forecasting the number of mining workers fatalities in Cherat coal mines by using Auto-Regressive Integrating Moving Average Method (ARIMA) model. Workers'fatalities information was collected over the period of 1994 to 2018 from Mine Workers Federation, Inspectorate of Mines and Minerals and company recordsto evaluate the long-term forecast. Various diagnostic tests wereused to obtain an optimistic model. The results show that ARIMA (0, 1, 2) wasthe most appropriate model for workers fatalities. Based on this model, casualties from2019 to 2025 have been forecasted. The results suggest that policymakers should take systematic consideration by evaluating possible risks associated with an increased number of fatalities and develop a safe and effective working platform. |
| first_indexed | 2024-12-14T07:03:57Z |
| format | Article |
| id | doaj.art-2ae7e495658e4e229f1e0cbad547f082 |
| institution | Directory Open Access Journal |
| issn | 2223-957X |
| language | English |
| last_indexed | 2024-12-14T07:03:57Z |
| publishDate | 2020-12-01 |
| publisher | Society of Economic Geologists and Mineral Technologists |
| record_format | Article |
| series | International Journal of Economic and Environment Geology |
| spelling | doaj.art-2ae7e495658e4e229f1e0cbad547f0822022-12-21T23:12:18ZengSociety of Economic Geologists and Mineral TechnologistsInternational Journal of Economic and Environment Geology2223-957X2020-12-0111042226https://doi.org/10.46660/ijeeg.Vol11.Iss4.2020.511Analysis and Forecast of Mining Fatalities in Cherat Coal Field, PakistanSajid Khan, Kausar Sultan Shah, Naeem Abbas, Abdur Rahman, Naseer Muhammad Khan.0Department of Mining Engineering, University of Engineering and Technology, Peshawar, Pakistan.Department of Mining Engineering, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan.Department of Mining Engineering, Karakoram International University, Gilgit, Pakistan.Mineral exploitation contributes to the economic growth of developing countries. Managing mineral production brought a more disturbing environment linked to workers' causalities due to scarcities in the safety management system. One of the barriers to attaining an adequate safety management system is the unavailability of future information relating to accidents causing fatalities. Policymakers always try to manage the safety system after each accident. Therefore, a precise forecast of the number of workersfatalities can provide significant observation to strengthen the safety management system. This study involves forecasting the number of mining workers fatalities in Cherat coal mines by using Auto-Regressive Integrating Moving Average Method (ARIMA) model. Workers'fatalities information was collected over the period of 1994 to 2018 from Mine Workers Federation, Inspectorate of Mines and Minerals and company recordsto evaluate the long-term forecast. Various diagnostic tests wereused to obtain an optimistic model. The results show that ARIMA (0, 1, 2) wasthe most appropriate model for workers fatalities. Based on this model, casualties from2019 to 2025 have been forecasted. The results suggest that policymakers should take systematic consideration by evaluating possible risks associated with an increased number of fatalities and develop a safe and effective working platform.https://www.econ-environ-geol.org/index.php/ojs/article/view/511/336miningfatalitiescoalfieldcheratsafety. |
| spellingShingle | Sajid Khan, Kausar Sultan Shah, Naeem Abbas, Abdur Rahman, Naseer Muhammad Khan. Analysis and Forecast of Mining Fatalities in Cherat Coal Field, Pakistan International Journal of Economic and Environment Geology mining fatalities coalfield cherat safety. |
| title | Analysis and Forecast of Mining Fatalities in Cherat Coal Field, Pakistan |
| title_full | Analysis and Forecast of Mining Fatalities in Cherat Coal Field, Pakistan |
| title_fullStr | Analysis and Forecast of Mining Fatalities in Cherat Coal Field, Pakistan |
| title_full_unstemmed | Analysis and Forecast of Mining Fatalities in Cherat Coal Field, Pakistan |
| title_short | Analysis and Forecast of Mining Fatalities in Cherat Coal Field, Pakistan |
| title_sort | analysis and forecast of mining fatalities in cherat coal field pakistan |
| topic | mining fatalities coalfield cherat safety. |
| url | https://www.econ-environ-geol.org/index.php/ojs/article/view/511/336 |
| work_keys_str_mv | AT sajidkhankausarsultanshahnaeemabbasabdurrahmannaseermuhammadkhan analysisandforecastofminingfatalitiesincheratcoalfieldpakistan |