Health Risk Assessment of Pesticide Residues in Drinking Water of Upper Jhelum Region in Kashmir Valley-India by GC-MS/MS.

Globally growing demand for agricultural and farm foods has more or less become dependent on chemical pesticides to maintain the supply chain, which undoubtedly boosts agricultural production. However, pesticides not only impact the target pests but cause hazard to human health. Pesticides are ubiquitous and can be found in almost every component of the environment. They can therefore impair human and biota health when present over the threshold level. The present study assessed the concentration of commonly used pesticides for agricultural purposes but get mixed in different sources of water, as such fifteen sampling sites along the upper Jhelum basin of Kashmir valley were chosen. For the analysis, 60 water samples were obtained from different water sources. Gas chromatography coupled with tandem mass spectrometry (GC-MS/MS) was used to determine pesticide residues in water samples. Pesticide residues from 10 of the 26 commonly used pesticides were detected in water samples. Difenoconazole had the highest concentration among the pesticides detected, with a mean concentration of 0.412 ± 0.424 µg/L ranging from 0.0 µg/L to 0.8196 µg/L. The target hazards quotient (THQ) was used to quantify the possible noncarcinogenic health risks associated with drinking pesticide-contaminated water. Only chlorpyrifos and quinalphos were detected >1 in RWS3 (1.6571), RWS4 (1.0285), RWS14 (1.2571), and RWS15 (1.2000) sample sites, implying that the drinking water poses a health risk to humans. Hence, pesticide hazards should be mitigated and rigorous monitoring is needed to reduce pesticide residues in drinking water.

Attitudinal behaviour of agriculturalists towards pesticide use in Pir Panjal Range of Kashmir Himalayas.

BACKGROUND: Attainment of safety during pesticide spraying relies on the farmer's knowledge of pesticide use, attitude and sense of safety. However, such investigations are insufficient in the current study area. METHODS: The study is based on a primary survey of 384 orchardists about the myriad of aspects affecting the use of pesticides and their subsequent effects. RESULTS: The study revealed that knowledge, attitude, and perception had a weighted average index (WAI) and a standard deviation (SD) of 2.85 ± 1.17, 3.55 ± 1.34, and 3.81 ± 0.98 correspondingly. The findings reflect the farmers have a low to moderate level of knowledge, a moderate attitude toward pesticides, and a favourable perception on their utilization. Thus, for farmer personal protective equipment (PPE) use, it scored 2.77 ± 0.90 on the WAI scale, indicating that most farmers use PPEs 'rarely to occasionally' and that none use full protective gear. Furthermore, attitude and PPE usage exhibited a negative relationship with age, as younger people use PPE more than older ones. The findings were consistent for both farming experience and PPE usage. Moreover, there exists a positive association between age with perception and farming experience, knowledge with perception and PPE use, and attitude with perception. CONCLUSIONS: The coefficient of determination (R2) shows that 67.2% of the variability in farmers' PPE use was attributed to factors including knowledge, attitude, perception, and education. A favorable behavioral shift in pesticide usage may be achieved by enhancing farmers' knowledge, attitudes and perceptions, and adequate PPE usage.

Source profiling of air pollution and its association with acute respiratory infections in the Himalayan-bound region of India.

The studies related to air pollutants and their association with human health over the mountainous region are of utmost importance and are sparse especially over the Himalayan region of India. The linkages between various atmospheric variables and clinically validated data have been done using various datasets procured from satellite, model reanalysis, and surface observations during 2013-2017. Aerosol optical depth, air temperature, and wind speed are significantly related (p < 0.001) to the incidence of acute respiratory infections with its peak during winter. Model-derived particulate matter (PM2.5) shows high contributions of black carbon, organic carbon, and sulfate during winter. The wind roses show the passage of winds from the south-west and southern side of the region. Back trajectory density plot along with bivariate polar plot analyses have shown that most of the winds coming from the western side are taking a southward direction before reaching the study area and may be bringing pollutants from the Indo-Gangetic Plain and other surrounding regions. Our study shows that the accumulation of pollutants in the Himalayan valley is owing to the meteorological stability with significant local emissions from burning of biomass and biofuels along with long-range and mid-range transport during the winter season that significantly correlated with the incidence of acute respiratory infections in the region.