Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Añadir filtros








Intervalo de año
1.
Artículo | IMSEAR | ID: sea-204901

RESUMEN

A study was conducted in mid hill region of Rajouri district, J&K, India to analyze the impact lockdown amid covid-19 pandemic on weather parameters. Day and night temperature readings were recorded fortnightly from 1st March to 30th June 2020 from maximum and minimum thermometer, rainfall values from ordinary rain gauge, and soil temperature at different depth from soil thermometers and values were compared with data from 2017-2019 and normal. After analyzing the data statistically using “Descriptive statistics” in MS-Excel 2010, it was observed that within the period of lockdown, the change in day temperature was -6.66% from normal mean value, however night temperature was least affected as it changes 10.33% and rainfall pattern was 19.27% more from normal mean value. The average change in soil temperature in morning at 5 cm, 10 cm and 20 cm depth in lockdown was -4.65%, 3.74% and 2.65% as compared to year 2019 (1st March to 30th June) mean value and the change in soil temperature in evening at same depths was -5.14%, -11.30% and 0.3% from year 2019 (1st March to 30th June) depicting a slow change in values. With the significant sustainable pattern observed in day and soil temperature parameters and rainfall it can be concluded that lockdown might be an effective tool in reducing speed of climate change in future.

2.
Artículo | IMSEAR | ID: sea-204893

RESUMEN

Aim: A study was conducted in mid hill region of Jammu district, J&K to analyze the impact lockdown amid covid-19 pandemic on weather parameters so as to define it as a tool to mitigate the pace of climate change. Methodology: Day and night temperature readings were recorded fortnightly during 22nd March to 10th June 2020 from maximum and minimum thermometer, relative humidity from dry and wet bulb thermometers in stevenson screen, rainfall values from ordinary rain gauge, evaporation readings from pan evaporimeter and soil temperature at different depth from soil thermometers. Results: After analyzing the data statistically using “Descriptive statistics” in MS-Excel 2010, it was observed that after the implementation of lockdown and with the beginning of unlock down the change in day temperature was -8.07% from normal mean value, night temperature was -4.44% from normal mean value, rainfall pattern was 30.00% more from normal mean value, Relative Humidity (morning) pattern was 6.94% more from normal mean value, relative humidity (evening) pattern was 20.94% more from normal mean value, evaporation pattern was 7.66% more from normal mean value. The average change in soil temperature in morning at 5 cm, 10 cm and 20 cm depth was -3.46%, -3.84% and -7.23% as compared to year 2019 (22nd March to 10th June 2019) mean value and the change in soil temperature in evening at same depths was -7.69%, -6.31% and -4.14% from year 2019 (22nd March to 10th June 2019). Conclusion: With the variable significant pattern observed in almost all parameters, it can be concluded that lockdown might be an effective tool in mitigating pace of climate change in future.

SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA