Open Access
Subscription Access
Water Footprint Assessment towards Food Sustainability for the Valley Region of Manipur, North East India
Water is a scarce resource. Thus water consumption by crops needs to be monitored to maintain future food sustainability. Water footprint (WF) is a tool to estimate water consumption by humans and the available fresh-water. Assessment of WF is significant for planning and managing water scarcity and food security. Rice is a staple crop in Manipur, North East India, requiring a large amount of water for production. In this study, the WF of rice is estimated for the valley region of Manipur for three years using satellite remote sensing and meteorological datasets. The critical parameters required for assessing WF of rice are evapotranspiration, precipitation and yield. For the analysis of WF, MODIS 8 daily evapotranspiration data and the CHIRPS dataset were used for evapotranspiration and precipitation respectively. Three components of WF were analysed in order to attain the Sustainable Development Goals of the United Nations. The analysis of green and blue water footprints suggests that the green-to-blue water foot-print ratio is 0.8 to 10. The area exhibits a green-to-blue ratio of less than 1, which indicates a greater utilization of irrigation water (blue water) in comparison to rainwater (green water). A value less than 1 demonstrates the need to reduce blue water use in these areas by selecting alternative food crops and increasing green water throughout the valley region to achieve the food sustainability goal.
Keywords
Food Sustainability, Rice, Satellite Data, Valley Region, Water Footprint.
User
Font Size
Information
- Anna, M., Hans, C. K., Elga, S., Solomon, S., Marloes, L. M. and Ann, V. G., Comparison of blue and green water fluxes for different land use classes in a semi-arid cultivated catchment using remote sensing. J. Hydrol.: Reg. Stud., 2021, 36, 100860.
- Libor, A. and Lada, S., Water footprint as a tool for selection of alternatives (comments on ‘food recommendations for reducing water footprint’). Sustainability, 2022, 14, 6317.
- Lovarelli, D., Bacenetti, J. and Fiala, M., Water footprint of crop productions: a review. Sci. Total Environ., 2016, 548, 236–251.
- UN-DESA, World population prospects: the 2017 revision, key findings and advance tables, Working Paper No. ESA/P/WP/248, New York, USA, 2017; https://population.un.org/wpp/publications/files/wpp2017_keyfindings.pdf.
- Olivera, P. R., Holzman, M. E., Degano, M. F., Faramiñán, A. M. G., Rivas, R. E. and Bayala, M. I., Spatial variability of the green water footprint using a medium-resolution remote sensing technique: the case of soybean production in the Southeast Argentine Pampas. Sci. Total Environ., 2021, 763, 142963.
- Alcamo, J. et al., Global estimates of water withdrawals and availability under current and future ‘business-as-usual’ conditions. Hydrol. Sci. J., 2003, 48(3), 339–348.
- Bruinsma, J., The resource outlook to 2050: by how much do land, water and crop yields need to increase by 2050. In expert meeting on how to feed the world by 2050, Food and Agricultural Organization, Rome, Italy, 24–26 June 2009.
- Rosegrant, M. W., Ringler, C. and Zhu, T., Water for agriculture: maintaining food security under growing scarcity. Annu. Rev. Environ. Resour., 2009, 34(1), 205–222.
- UN, Transforming Our World, The 2030 Agenda for Sustainable Development, Springer, New York, USA, 2015, pp. 1–36.
- Bhaduri, A. et al., Achieving sustainable development goals from a water perspective. Front. Environ. Sci., 2016, 4, 64.
- Dan, W., Klaus, H., Yuli, Sh., Winnie, G. and Junguo, L., A review of water stress and water footprint accounting. Water, 2021, 13, 201.
- WEF, Global risks 2015. World Economic Forum, Geneva, Switzerland, 2015; https://www.weforum.org/reports/global-risks-2015/.
- Ziyao, X., Jijian, L., Ran, W., Ying, Q., Tianhua, S. and Kaixun, H., Development of method for assessing water footprint sustainability. Water, 2022, 14, 694.
- Naresh, R. K. et al., Water footprint of rice from both production and consumption perspective assessment using remote sensing under subtropical India: a review. Int. J. Chem. Stud., 2017, 5(1), 343–350.
- Hoekstra, A. and Hung, P. Q., Virtual water trade: a quantification of virtual water flows between nations in relation to international crop trade. Value of Water Research Report Series No. 11, IHE Delft, The Netherlands, 2002; https://www.waterfootprint.org/media/downloads/Report11.pdf.
- Hoekstra, A. Y., Chapagain, A. K., Aldaya, M. M. and Mekonnen, M. M., The water footprint assessment manual: setting the global standard. Earthscan, 2011; https://waterfootprint.org/media/downloads/TheWaterFootprintAssessmentManual_2.pdf
- Tuninetti, M., Tamea, S., D’Odorico, P., Laio, F. and Ridolfi, L., Global sensitivity of high-resolution estimates of crop water foot-print. Water Resour. Res., 2015, 51, 8257–8272.
- Romaguera, M., Hoekstra, A. Y., Su, Zh., Krol, M. S. and Salama, Mhd. S., Potential of using remote sensing techniques for global assessment of water footprint of crops. Remote Sensing, 2010, 2, 1177–1196.
- Bianbian, F., La, Z., Dong, X., Ying, M., Jie, G., Pengxuan, X. and Pute, W., A quantitative review of water footprint accounting and simulation for crop production based on publications during 2002–2018. Ecol. Indicators, 2021, 120, 106962.
- Velpuri, N. M. and Senay, G. B., Partitioning evapotranspiration into green and blue water sources in the conterminous United States. Sci. Rep., 2017; https://doi.org/10.1038/s41598-017-06359-w.
- Madugundu, R., Al-Gaadi, K. A., Tola, E., Hassaballa, A. A. and Kayad, A. G., Utilization of landsat-8 data for the estimation of carrot and maize crop water footprint under the arid climate of Saudi Arabia. PLoS ONE, 2018, 13(2), e0192830.
- Swadhina, K. and Jeganathan, C., Estimation of the green and blue water footprint of kharif rice using remote sensing techniques: a case study of Ranchi. In IEEE India Geoscience and Remote Sensing Symposium, 2020; https://doi.org/10.1109/InGARSS48198.2020.9358924.
- Bouman, B., How much water does rice use? Rice Today, 2009, 8(1), 28–29.
- Geethalakshmi, V., Ramesh, T., Palamuthirsolai, A. and Lakshman, A., Agronomic evaluation of rice cultivation systems for water and grain productivity. Arch. Agron. Soil Sci., 2011, 57(2), 159–166.
- Chapagain, A. K. and Hoekstra, A. Y., The blue, green and grey water footprint of rice from production and consumption perspectives. Ecol. Econ., 2011, 70, 749–758.
- Singh, Y. V., Crop and water productivity as influenced by rice cultivation methods under organic and inorganic sources of nutrient supply. Paddy Water Environ., 2013, 11, 531–542.
- Tuong, T. P. and Bouman, B. A. M., Rice production in water scarce environments. In Water Productivity in Agriculture: Limits and Opportunities for Improvement (eds Kijne, J. W. et al.), CABI Publishing, Wallingford, UK, 2002, pp. 13–42.
- Alam, Md. K. et al., Rice (Oryza sativa L.) establishment techniques and their implications for soil properties, global warming potential mitigation and crop yields. Agronomy, 2020, 10, 888.
- Oo, A. Z. et al., Methane and nitrous oxide emissions from conventional and modified rice cultivation systems in South India. Agric. Ecosyst. Environ., 2018, 252, 148–158.
- Gujja, B. and Thiyagarajan, T. M., New hope for Indian food security? The system of rice intensifcation. Gatekeeper, 2009, 143, 3–18.
- Neeraj, K. et al., Challenges and opportunities in productivity and sustainability of rice cultivation system: a critical review in Indian perspective. Cereal Res. Commun., 2021, 50, 573–601.
- Bidyapati, Th. and Jha, K. K., Sustainable rice production in Manipur: analysis of constraints faced by farmers. J. Pharmacogn. Phytochem., 2020, 6, 57–63.
- Komol, S. and Sneha, M., Sustainability of rice cultivation: a study of Manipur. Rice Res., 2015, 4, 159.
- Bidyapati, Th. and Kaushal, K. J., Socio-economic correlates and information sources utilization by paddy farmers in Bishnupur District, Manipur, India. Int. J. Curr. Microbiol. Appl. Sci., 2019, 8(10), 1652–1659.
- Franklin, P. T., Humberto, A. B., Tumuluru, V. L. K., Manoj, K. T. and Catarina, D. O. B., Assessment of the CHIRPS-based satellite precipitation estimates. Inland Waters – Dynamics and Ecology Intech Open, 2020; http://dx.doi.org/10.5772/intechopen.91472.
- Beck, H. E. et al., Global-scale evaluation of 22 precipitation data-sets using gauge observations and hydrological modeling. Hydrol. Earth Syst. Sci., 2017, 21(12), 6201–6217.
- Chapagain, A. K. and Hoekstra, A. Y., The green, blue and grey water footprint of rice from both a production and consumption perspective. Value of Water Research Report Series No. 40, UNESCO-IHE Institute for Water Education, Delft, the Netherlands, 2010, p. 62.
- Abdelrazek, E., Linjiang, W., Bingfang, W., Weiwei, Z. and Hongwei, Z., Synthesis of global actual evapotranspiration from 1982 to 2019. Earth Syst. Sci. Data, 2020, 13, 447–480.
- Nasrin, S., Sohrab, K., Muhammad, H. U. R., Asmat, U., Atena, P., Bita, B. and Jafar, M., Calculation actual and potential evapotranspiration by developing a tool for MODIS product, Conference at Pakistan, Multan, 2018.
- Rodrigo, D. Q. M., Josiclêda, D. G., Magna, S. B., Charles, A. J. and Raghavan, S., Reliability of MODIS evapotranspiration products for heterogeneous dry forest: a study case of Caatinga. Adv. Meteorol., 2017, 2017, 1–14.
- Mekonnen, M. M. and Hoekstra, A. Y., The green, blue and grey water footprint of crops and derived crop products. Hydrol. Earth Syst. Sci., 2011, 15(5), 1577–1600.
- Franke, N. A., Boyacioglu, H. and Hoesktra, A. Y., Grey water footprint guidelines. Value of Water Research Report Series No. 65, UNESCO-IHE Institute for Water Education, 2013; https://waterfootprint.org/media/downloads/Report65-GreyWaterFoot-print-Guidelines_1.pdf
- Fu, M., Bin, G., Weijiao, W., Juan, W., Lihua, Z. and Lianlin, W., Comprehensive assessment of water footprint and water scarcity pressure for main crops in Shandong province, China. Sustainability, 2019, 11, 1–18.
- Tian, Y. M. R. and Dajian, Z., Using the IPAT identity and decoupling analysis to estimate water footprint variations for five major food crops in China from 1978 to 2010. Environ. Dev. Sustain, 2017, 19, 2355–2375.
- Uma, G. M. and Shivakumar, K. M., India rice export and virtual water trade. J. Appl. Nat. Sci., 2021, 13, 43–46.
- Jaramillo, F. and Destouni, G., Local flow regulation and irrigation raise global human water consumption and footprint. Science, 2015, 350, 1248–1251.
- Santosh, S. M., Singh, D. K., Sarangi, A. and Parihar, S. S., Assessing water footprints and virtual water flows in Gomti river basin of India. Curr. Sci., 2018, 4, 721–728.
- Mekonnen, M. M. and Hoekstra, A. Y., Water footprint benchmarks for crop production: a first global assessment. Ecol. Indicators, 2014, 46, 214–223.
- Xue, M., Jian, L., Jun, W., Zhenhua, Z. and Liwei, C., Quantification and evaluation of grey water footprint in Yantai. Water, 2022, 14, 1893.
- Chukalla, A. D., Maarten, S. K. and Hoekstra, A. Y., Grey water footprint reduction in irrigated crop production: effect of nitrogen application rate, nitrogen form, tillage practice and irrigation strategy. Hydrol. Earth Syst. Sci., 2018, 22, 3245–3259.
- Durba, K. and Tripti, A., Carbon footprint and water footprint of rice and wheat production in Punjab. India Agric. Syst., 2021, 186, 102959.
- Ercin, E. and Hoekstra, A. Y., Water footprint scenarios for 2050: a global analysis. Environ. Inter., 2014, 64, 71–82.
- Vaibhav and Bharat, Jh., Water footprint analysis of Delhi to understand its sustainability. Int. Res. J. Eng. Technol., 2019, 6(7), 1934–1940.
Abstract Views: 275
PDF Views: 87