Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published November 2021 | Supplemental Material
Journal Article Open

Satellite evidence on the trade-offs of the food-water–air quality nexus over the breadbasket of India

Abstract

Access to food, water, and good air quality is indispensable for human life, as reflected in various United Nations Sustainable Development Goals (SDGs); however, pursuing food security may pose threats to water security and/or air quality. An important case is northwest India including the Punjab and Haryana states, which is the 'breadbasket' of India with a significantly increasing paddy rice area. The rapid expansion of rice farming has stressed groundwater resources and impacted air quality. Satellite observations have the potential to provide data for better decisions on food security, water storage, and air pollution, which would be vital for regional sustainable development. Based on observations from multiple satellites from 2001 to 2018, we found that paddy rice expansion (+22%) increased groundwater depletion (−1.50 cm/yr), residue burning (+500%), and air pollution (+29%, PM2.5) in the breadbasket of India. Moreover, satellite observations showed changes in these interactions after the enactment of a groundwater protection policy in 2009, which decelerated groundwater depletion (−1.20 cm/yr) due to delayed rice planting and harvest dates (∼15d); the latter elevated air pollution in November (+29%, PM2.5). Our finding stresses the need to reconcile the trade-offs and consider the interactions among SDGs 2 (food), 3 (good health), 6 (clean water), and 11 (air quality in cities), in policy-making for sustainable development. An efficient crop residue ultilization and management system, bottom-up groundwater use regulations, and cropping system shift towards less water-consuming crops are critically required to resolve the trade-offs of the food-water–air quality nexus in the northern India. Our study also showcases remote sensing approaches and methods to support and aid the achievement of the SDGs and track their progreses to support regional sustainable development.

Additional Information

© 2021 Elsevier Ltd. Received 29 March 2021, Revised 29 September 2021, Accepted 8 October 2021, Available online 21 October 2021. This study is funded by the National Natural Science Foundation of China (No. 41871349), the Key Research Program of Frontier Sciences (QYZDB-SSW-DQC005) and the Strategic Priority Research Program (XDA19040301) of the Chinese Academy of Sciences (CAS). The first author acknowledges CAS President's International Fellowship Initiative (PIFI) for providing the fellowship to carry out this research. CRediT authorship contribution statement: Mrinal Singha: Conceptualization, Methodology, Formal analysis, Writing – original draft. Jinwei Dong: Supervision, Conceptualization, Writing – review & editing. Quansheng Ge: Conceptualization. Graciela Metternicht: Data curation, Writing – review & editing. Sangeeta Sarmah: Formal analysis. Geli Zhang: Validation. Russell Doughty: Writing – review & editing. Sharachchandra Lele: Writing – review & editing. Chandrashekhar Biradar: Writing – review & editing. Sha Zhou: Writing – review & editing. Xiangming Xiao: Supervision, Writing – review & editing. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Attached Files

Supplemental Material - 1-s2.0-S0959378021001734-mmc1.docx

Files

Files (1.7 MB)
Name Size Download all
md5:6932b4aa47ec01ed57441d476ab3e0d8
1.7 MB Download

Additional details

Created:
August 22, 2023
Modified:
October 23, 2023