Articles | Volume 15, issue 16
https://doi.org/10.5194/acp-15-9555-2015
https://doi.org/10.5194/acp-15-9555-2015
Research article
 | 
27 Aug 2015
Research article |  | 27 Aug 2015

Assessment of crop yield losses in Punjab and Haryana using 2 years of continuous in situ ozone measurements

B. Sinha, K. Singh Sangwan, Y. Maurya, V. Kumar, C. Sarkar, B. P. Chandra, and V. Sinha

Related authors

Chloride (HCl ∕ Cl) dominates inorganic aerosol formation from ammonia in the Indo-Gangetic Plain during winter: modeling and comparison with observations
Pooja V. Pawar, Sachin D. Ghude, Gaurav Govardhan, Prodip Acharja, Rachana Kulkarni, Rajesh Kumar, Baerbel Sinha, Vinayak Sinha, Chinmay Jena, Preeti Gunwani, Tapan Kumar Adhya, Eiko Nemitz, and Mark A. Sutton
Atmos. Chem. Phys., 23, 41–59, https://doi.org/10.5194/acp-23-41-2023,https://doi.org/10.5194/acp-23-41-2023, 2023
Short summary
Significant emissions of dimethyl sulfide and monoterpenes by big-leaf mahogany trees: discovery of a missing dimethyl sulfide source to the atmospheric environment
Lejish Vettikkat, Vinayak Sinha, Savita Datta, Ashish Kumar, Haseeb Hakkim, Priya Yadav, and Baerbel Sinha
Atmos. Chem. Phys., 20, 375–389, https://doi.org/10.5194/acp-20-375-2020,https://doi.org/10.5194/acp-20-375-2020, 2020
Short summary
Source apportionment of volatile organic compounds in the northwest Indo-Gangetic Plain using a positive matrix factorization model
Pallavi, Baerbel Sinha, and Vinayak Sinha
Atmos. Chem. Phys., 19, 15467–15482, https://doi.org/10.5194/acp-19-15467-2019,https://doi.org/10.5194/acp-19-15467-2019, 2019
Short summary
Source apportionment of NMVOCs in the Kathmandu Valley during the SusKat-ABC international field campaign using positive matrix factorization
Chinmoy Sarkar, Vinayak Sinha, Baerbel Sinha, Arnico K. Panday, Maheswar Rupakheti, and Mark G. Lawrence
Atmos. Chem. Phys., 17, 8129–8156, https://doi.org/10.5194/acp-17-8129-2017,https://doi.org/10.5194/acp-17-8129-2017, 2017
Short summary
Quantifying the contribution of long-range transport to particulate matter (PM) mass loadings at a suburban site in the north-western Indo-Gangetic Plain (NW-IGP)
H. Pawar, S. Garg, V. Kumar, H. Sachan, R. Arya, C. Sarkar, B. P. Chandra, and B. Sinha
Atmos. Chem. Phys., 15, 9501–9520, https://doi.org/10.5194/acp-15-9501-2015,https://doi.org/10.5194/acp-15-9501-2015, 2015
Short summary

Related subject area

Subject: Gases | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Real-time measurements of non-methane volatile organic compounds in the central Indo-Gangetic basin, Lucknow, India: source characterisation and their role in O3 and secondary organic aerosol formation
Vaishali Jain, Nidhi Tripathi, Sachchida N. Tripathi, Mansi Gupta, Lokesh K. Sahu, Vishnu Murari, Sreenivas Gaddamidi, Ashutosh K. Shukla, and Andre S. H. Prevot
Atmos. Chem. Phys., 23, 3383–3408, https://doi.org/10.5194/acp-23-3383-2023,https://doi.org/10.5194/acp-23-3383-2023, 2023
Short summary
Measurement report: Production and loss of atmospheric formaldehyde at a suburban site of Shanghai in summertime
Yizhen Wu, Juntao Huo, Gan Yang, Yuwei Wang, Lihong Wang, Shijian Wu, Lei Yao, Qingyan Fu, and Lin Wang
Atmos. Chem. Phys., 23, 2997–3014, https://doi.org/10.5194/acp-23-2997-2023,https://doi.org/10.5194/acp-23-2997-2023, 2023
Short summary
Measurement report: Volatile organic compound characteristics of the different land-use types in Shanghai: spatiotemporal variation, source apportionment and impact on secondary formations of ozone and aerosol
Yu Han, Tao Wang, Rui Li, Hongbo Fu, Yusen Duan, Song Gao, Liwu Zhang, and Jianmin Chen
Atmos. Chem. Phys., 23, 2877–2900, https://doi.org/10.5194/acp-23-2877-2023,https://doi.org/10.5194/acp-23-2877-2023, 2023
Short summary
O3–precursor relationship over multiple patterns of timescale: a case study in Zibo, Shandong Province, China
Zhensen Zheng, Kangwei Li, Bo Xu, Jianping Dou, Liming Li, Guotao Zhang, Shijie Li, Chunmei Geng, Wen Yang, Merched Azzi, and Zhipeng Bai
Atmos. Chem. Phys., 23, 2649–2665, https://doi.org/10.5194/acp-23-2649-2023,https://doi.org/10.5194/acp-23-2649-2023, 2023
Short summary
High emission rates and strong temperature response make boreal wetlands a large source of isoprene and terpenes
Lejish Vettikkat, Pasi Miettinen, Angela Buchholz, Pekka Rantala, Hao Yu, Simon Schallhart, Tuukka Petäjä, Roger Seco, Elisa Männistö, Markku Kulmala, Eeva-Stiina Tuittila, Alex B. Guenther, and Siegfried Schobesberger
Atmos. Chem. Phys., 23, 2683–2698, https://doi.org/10.5194/acp-23-2683-2023,https://doi.org/10.5194/acp-23-2683-2023, 2023
Short summary

Cited articles

Adams, R. M., Glyer, J. D., Johnson, S. L., and McCarl, B. A.: Assessment of the economic effects of ozone on United States agriculture, JAPCA J. Air Waste Ma., 39, 960–968, 1989.
Agrawal, M., Singh, B., Rajput, M., Marshall, F., and Bell, J. N. B.: Effect of air pollution on peri-urban agriculture: a case study, Environ. Pollut., 126, 323–329, 2003.
Agricultural Statistics: Government of India, Ministry of Agriculture, Department of Agriculture and Cooperation, Directorate of Economics and Statistics, Pocket Book on Agricultural Statistics 2013, New Delhi, 2013.
Ainsworth, E. A., Yendrek, C. R., Sitch, S., Collins, W. J., and Emberson, L. D.: The effects of tropospheric ozone on net primary productivity and implications for climate change, Ann. Rev. Plant Biol., 63, 637–661, 2012.
Akhtar, N., Yamaguchi, M., Inada, H., Hoshino, D., and Kondo, T.: Effects of ozone on growth, yield and leaf gas exchange rates of four Bangladeshi cultivars of rice (Oryza sativa L.), Environ. Pollut., 158, 2970–2973, 2010a.
Download
Short summary
We use ozone measurements at a suburban site in Punjab to estimate ozone-related crop yield losses for wheat, rice, cotton and maize in Punjab and Haryana for the years 2011-2013. Crop production losses amount to 10.3-20.8 Mt yr-1 for wheat and 3.2-5.4 Mt yr-1 for rice, enough to feed 225-437 million of India’s poor. The lower limit for the ozone-related economic losses is 3.7-6.5 billion USD (Punjab and Haryana), while the upper limit amounts to 3.5-20% of Indian GDP (all of India).
Altmetrics
Final-revised paper
Preprint