scholarly journals Atmospheric aerosols properties over Indo-Gangetic Plain: A trend analysis using ground – truth AERONET data for the year 2009 - 2017

Author(s):  
Akhilesh Kumar ◽  
Vineet Pratap ◽  
Sarvan Kumar ◽  
A.K. Singh
Atmosphere ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. 405 ◽  
Author(s):  
Shreemat Shrestha ◽  
Murray Peel ◽  
Graham Moore

The assessment of direct radiative forcing due to atmospheric aerosols (ADRF) in the Indo Gangetic Plain (IGP), which is a food basket of south Asia, is important for measuring the effect of atmospheric aerosols on the terrestrial ecosystem and for assessing the effect of aerosols on crop production in the region. Existing comprehensive analytical models to estimate ADRF require a large number of input parameters and high processing time. In this context, here, we develop a simple model to estimate daily ADRF at any location on the surface of the IGP through multiple regressions of AErosol RObotic NETwork (AERONET) aerosol optical depth (AOD) and atmospheric water vapour using data from 2002 to 2015 at 10 stations in the IGP. The goodness of fit of the model is indicated by an adjusted R2 value of 0.834. The Jackknife method of deleting one group (station data) was employed to cross validate and study the stability of the regression model. It was found to be robust with an adjusted R2 fluctuating between 0.813 and 0.842. In order to use the year-round ADRF model for locations beyond the AERONET stations in the IGP, AOD, and atmospheric water vapour products from MODIS Aqua and Terra were compared against AERONET station data and they were found to be similar. Using MODIS Aqua and Terra products as input, the year-round ADRF regression was evaluated at the IGP AERONET stations and found to perform well with Pearson correlation coefficients of 0.66 and 0.65, respectively. Using ADRF regression model with MODIS inputs allows for the estimation of ADRF across the IGP for assessing the aerosol impact on ecosystem and crop production.


2013 ◽  
Vol 13 (6) ◽  
pp. 1877-1889 ◽  
Author(s):  
Aparna Satsangi ◽  
Tripti Pachauri ◽  
Vyoma Singla ◽  
Anita Lakhani ◽  
K. Maharaj Kumari

Author(s):  
Ashish Soni ◽  
Anil Kumar Mandariya ◽  
Pradhi Rajeev ◽  
Saifi Izhar ◽  
Gyanesh Kumar Singh ◽  
...  

Recent progress towards the availability of reanalysis data of Earth system variables with high spatial-temporal resolution provides valuable information for estimating the impacts of atmospheric aerosols. However, the aerosol module...


2020 ◽  
Vol 27 (10) ◽  
pp. 10617-10628 ◽  
Author(s):  
Pengfei Chen ◽  
Shichang Kang ◽  
Lekhendra Tripathee ◽  
Arnico K. Panday ◽  
Maheswar Rupakheti ◽  
...  

Agronomy ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 402
Author(s):  
Rama Kant Dubey ◽  
Pradeep Kumar Dubey ◽  
Rajan Chaurasia ◽  
Ch Srinivasa Rao ◽  
Purushothaman Chirakkuzhyil Abhilash

Global agricultural production is accountable for the emission of ~30% of greenhouse gases. Therefore, the wide-scale adoptions of low-input, soil-friendly, and resource-conserving agronomic practices are imperative for the ‘planet healthy food production’ and also for reducing the carbon emissions from agricultural soil. In this context, the present study aimed to analyze the impacts of integrated agronomic interventions i.e., the application of arbuscular mycorrhizal fungi (AMF) + reduced tillage (RT), biochar + RT, and AMF + biochar + RT, on spatiotemporal variations in soil-quality and soil-sustainability indicators, including microbial and soil respiration, in the Indo-Gangetic Plain (IGP) of North India. For this, field experiments on the above-mentioned agronomic interventions were employed using three different staple crops (Zea mays, Vigna mungo, and Brassica juncea) growing in three different agro-climatic zones of IGP (Varanasi, Sultanpur, and Gorakhpur) in a randomized block design. Periodic data collection was done to analyze the changes in physiochemical, biological, and biochemical properties of the soil, and statistical analyses were done accordingly. Irrespective of the sites, the experimental results proved that the integrated application of AMF + biochar + RT in V. mungo resulted in the highest soil organic carbon (i.e., 135% increment over the control) and microbial biomass carbon (24%), whereas the same application (i.e., AMF + biochar + RT) in Z. mays had the maximum reduction in microbial (32%) and soil (44%) respiration. On the other hand, enhanced occurrence of glomalin activity (98%) was noted in Z. mays cropping for all the sites. Significant negative correlation between soil respiration and glomalin activity under AMF + biochar + RT (−0.85), AMF + RT (−0.82), and biochar + RT (−0.62) was an indication of glomalin’s role in the reduced rate of soil respiration. The research results proved that the combined application of AMF + biochar + RT was the best practice for enhancing soil quality while reducing respiration. Therefore, the development of suitable packages of integrated agronomic practices is essential for agricultural sustainability.


2016 ◽  
Vol 43 (23) ◽  
pp. 12,102-12,112 ◽  
Author(s):  
Vimal Mishra ◽  
Saran Aadhar ◽  
Akarsh Asoka ◽  
Sivananda Pai ◽  
Rohini Kumar

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