Every agriculture countries essential need to examine the rainfall pattern or it influences. This study examined the relative impacts of Niño and Indian Ocean Dipole (IOD) anomalies events on Myanmar summer monsoon precipitation (June to September) on a sub-regional scale. This study used the Niño3-4 and IOD index data sets for 1990-2019 from UCAR and NOAA. As well as ERA5- Reanalysis Data precipitation data, summer monsoon precipitation data across Myanmar for homogeneous and sub-regional precipitation data sets. The spatial distribution of partial correlations between IOD and summer monsoon rainfall over Myanmar indicates a significant influence on rainfall along the monsoon trough regions, parts of the southwestern coastal regions of Myanmar, and over some parts of Thailand. For the region of rainfall, we take average area (90E-105E and 10N-28N) as Myanmar, and about the time scale, selected summer monsoon season (JJAS) data for every dataset are used. Niño and IOD indexes data are already defined regions but time is collected. For Niño anomaly (El Niño or La Niña) events, selected data are defined as +/- 4 of monthly SST average of Niño3-4 region. The positive and negative phase of IOD is defined as the above paragraph and selected data are defined as +/-4 of monthly two SST anomalies difference. We analyze all dataset the whole statistics analysis base on the following formula from Guidelines on the Calculation of Climate by World Meteorology Organization especially anomalies and correlation analysis. Study the relative influences of the IOD and the Niño anomalies on the summer rainfall of these regions by grid data analysis with Open-Grads climate data display to understand the impacts of the IOD/Niño anomalies on Myanmar monsoon rainfall at a regional scale. If IOD and Niño anomalies are the same values positive or negative, rainfall distribution was randomized distribution. If IOD negative anomaly or negative phase can impact monsoon rainfall over Myanmar. Found Niño can impact positively correlation over Myanmar monsoon rainfall distribution during IOD normal situations with weak correlation. And during IOD normal year rainfall distribution are not enough strong correction with Niño directly and not a correlation with for IOD anomaly year rainfall. We can also found a strong negative correlation (-0.3 to -0.4) with strong regression values (- 0.3 to -0.6) between SST and Myanmar monsoon rainfall distribution. As the results of the 3 variables correlation, IOD and rainfall distribution had a negative correlation and IOD and Niño had a positive correlation. Their turning point is around values of +/- 0.3 and its values indicate a weak positive (negative) linear relationship via a shaky linear rule. The influence of the IOD negative phase on monsoon rainfall over Myanmar is more than that of positive IOD during Niño normal situation.

COVID-19 is a contagious illness that is caused by a newly recognized coronavirus. It has become the largest pandemic that has issued emergency all across the world. The objective of this research is to show how environment has been positively affected by it particularly in India. Our research shows that although human living and health are our major and immediate issues to concern, water and environmental systems from rural to urban scales have seen noticeable productive impacts due to the depletion of pollutants loading from industries, vehicle emission, and other sources. Seeing the past plots, the research also indicates that the pace and range of improvement seen would have been impossible without supreme actions that have been imposed on the society due to the epidemic, at the cost of several millions of dollars across the nation. Therefore, the research furtherfocuses on how India’s environmental problems can be tackled systematically so that country can aim green future even after exemption from the rules of home quarantine that has been imposed due to the ongoing pandemic.

When compared to the per capita textile waste in other countries, the waste generated by the Indian population is significantly low (0.79kg per capita). There are variousfactors which lead to low textile waste such as the traditional practices of reuse, the design of clothing, lower disposable income and so on. However, the largest eliminators of the textile waste are principles of reuse engrained in the traditional Indian practices and lifestyle like the reuse of the garment by multiple members of the family enabled by (usually a) patrilineal cohabitation known as the Joint family system; and the basic tenets of circularity imbibed in the practice of wearing rectangular pieces of unstitched fabrics like sarees, lungis, veshtis. In this paper we will do a detailed study of how these two traditions encourage a circular economy for textiles.

The present research aims to evaluate the urban thermal environment in an arid area to enhance users comfort conditions. Our hypothesis is to correlate between air temperature degree and occupancy rate. Our idea is to conduct simultaneously measurement campaigns and questionnaires in urban districts that constitute the city; these representative samples are composed of: traditional, colonial and contemporary district to gain the maximum of sought after information to verify correspondence degree of the results between quantitative and qualitative indicators that have an impact on the thermal environment and outdoor space occupancy, linking cause and effect.