Publications

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Sharma, Y., Sidana, B. K., Kumar, S., Kaur, S., Sekhon, M. K., Mahal, A. K., and Mehan, S. (2023). Pre and Post Water Level Behaviour in Punjab: Impact Analysis with DiD Approach. Sustainability, 15(3), 2426.
https://doi.org/10.3390/su15032426
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Hoffman, I.R., Miller, K., Paul, G., Yimam, Y., Mehan, S., Dickey, J., Harter, T., and Kisekka, I. (2022). Modeling water and nitrogen dynamics from processing tomatoes under different management scenarios in the San Joaquin Valley of California. Journal of Hydrology: Regional Studies, 43,
https://doi.org/10.1016/j.ejrh.2022.101195
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Schull, V. Z., Mehan, S., Gitau, M. W., Johnson, D. R., Singh, S., Sesmero, J. P., and Flanagan, D. C. (2021). Construction of Critical Periods for Water Resources Management and Their Application in the FEW Nexus. Water, 13(5), 718.
https://doi.org/10.3390/w13050718
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Schull, V. Z., Daher, B., Gitau, M. W., Mehan, S., and Flanagan, D. C. (2020). Analyzing FEW nexus modeling tools for water resources decision-making and management applications. Food and Bioproducts Processing, 119,108-124.
https://doi.org/10.1016/j.fbp.2019.10.011
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Mehan, S., Aggarwal, R., Gitau, M.W., Flanagan, D.C., and Frankenberger, J. (2019). Assessment of hydrology and nutrient losses in a changing climate in a subsurface-drained watershed. Science of the Total Environment, 688, 1236-51.
https://doi.org/10.1016/j.scitotenv.2019.06.314

Peer-Reviewed Published Journal Articles

  1. Sharma, Y., Sidana, B. K., Kumar, S., Kaur, S., Sekhon, M. K., Mahal, A. K., and Mehan, S. (2023). Pre and Post Water Level Behaviour in Punjab: Impact Analysis with DiD Approach. Sustainability, 15(3), 2426.
    https://doi.org/10.3390/su15032426

  2. Hoffman, I.R., Miller, K., Paul, G., Yimam, Y., Mehan, S., Dickey, J., Harter, T., and Kisekka, I. (2022). Modeling water and nitrogen dynamics from processing tomatoes under different management scenarios in the San Joaquin Valley of California. Journal of Hydrology: Regional Studies, 43,
    https://doi.org/10.1016/j.ejrh.2022.101195

  3. Kushwaha, N. L., Elbeltagi, A., Mehan, S., Malik, A., and Yousuf, A. (2022). Comparative study on morphometric analysis and RUSLE-based approaches for micro-watershed prioritization using remote sensing and GIS. Arabian Journal of Geosciences, 15(7), 1-18.
    https://doi.org/10.1007/s12517-022-09837-2

  4. Acharya, B., Ahmmed, B., Chen, Y., Davison, J., Haygood, L., Hensley, R., Kumar, R., Lerback, J., Liu, H., Mehan, S., Mehana, M., Patil, S., Persaud, B., Sullivan, P., and URycki D. (2022). Hydrological Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science. Earth and Space Science Open Archive (ESSOAr).
    https://doi.org/10.1029/2022EA002320

  5. Evenson, G., Osterholz, W. R., Shedekar, V. S., King, K., Mehan, S., and Kalcic, M. (2022). Representing soil health practice effects on soil properties and nutrient loss in a watershed‐scale hydrologic model. Journal of Environmental Quality.
    https://doi.org/10.1002/jeq2.20338

  6. Kumar, M., Dogra, R., Narang, M., Singh, M., and Mehan, S. (2021). Development and Evaluation of Direct Paddy Seeder in Puddled Field. Sustainability, 13(5), 2745.
    https://doi.org/10.3390/su13052745

  7. Schull, V. Z., Mehan, S., Gitau, M. W., Johnson, D. R., Singh, S., Sesmero, J. P., and Flanagan, D. C. (2021). Construction of Critical Periods for Water Resources Management and Their Application in the FEW Nexus. Water, 13(5), 718.
    https://doi.org/10.3390/w13050718

  8. Schull, V. Z., Daher, B., Gitau, M. W., Mehan, S., and Flanagan, D. C. (2020). Analyzing FEW nexus modeling tools for water resources decision-making and management applications. Food and Bioproducts Processing, 119, 108-124.
    https://doi.org/10.1016/j.fbp.2019.10.011

  9. Mehan, S., Aggarwal, R., Gitau, M.W., Flanagan, D.C., and Frankenberger, J. (2019). Assessment of hydrology and nutrient losses in a changing climate in a subsurface-drained watershed.
    Science of the Total Environment, 688, 1236-51. https://doi.org/10.1016/j.scitotenv.2019.06.314

  10. Kannan, N., Santhi, C., White, M.J., Mehan, S., Arnold, J.G., and Gassman, P.W. (2019). Some challenges in hydrologic model calibration for large-scale studies: A case study of SWAT Model application to MississippiAtchafalaya River Basin. Hydrology, 6(1), 17.
    https://doi.org/10.3390/hydrology6010017

  11. Mehan, S., Gitau, M.W., and Flanagan, D.C. (2019). Reliable future climatic projections for sustainable hydrometeorological assessments in the Western Lake Erie Basin. Water, 11(3), 581.
    https://doi.org/10.3390/w11030581

  12. Gitau, M. W., Mehan, S., and Guo, T. (2018). Weather generator effectiveness in capturing climate extremes. Environmental Processes, 5(1), 153-165.
    https://doi.org/10.1007/s40710-018-0291-x

  13. Gitau, M.W., Mehan, S., and Guo, T. (2017). Weather generator utilization in climate impact studies: Implications for water resources modelling. European Water, 59(3), 69-75.
    Click and read it here

  14. Guo, T., Mehan, S., Gitau, M. W., Wang, Q., Kuczek, T., & Flanagan, D. C. (2018). Impact of number of realizations on the suitability of simulated weather data for hydrologic and environmental applications. Stochastic environmental research and risk assessment, 32(8), 2405-2421.
    https://doi.org/10.1007/s00477-017-1498-5

  15. Mehan, S., Neupane, R.P., and Kumar, S. (2017). Coupling of SUFI 2 and SWAT for improving the simulation of streamflow in an agricultural watershed of South Dakota. Hydrology Current Research, 8 (3).280
    https://doi:10.4172/2157-7587.1000280

  16. Neupane, R. P., Mehan, S., and Kumar, S. (2017). Use of geochemical tracers for estimating groundwater influxes to the Big Sioux River, eastern South Dakota, USA. Hydrogeology Journal, 25(6), 1647-1660.
    https://doi.org/10.1007/s10040-017-1597-x

  17. Mehan, S., Guo, T., Gitau, M.W., and Flanagan, D.C. (2017). Comparative study of different stochastic weather generators for long-term climate data simulation. Climate, 5(2), 26.
    https://doi.org/10.3390/cli5020026

  18. Mehan, S., Kannan, N., Neupane, R.P., McDaniel, R., and Kumar, S. (2016). Climate change impacts on the hydrological processes of a small agricultural watershed. Climate, 4(4), 56.
    https://doi.org/10.3390/cli4040056

  19. Mehan, S., Kaur, P., and Singh, M. (2014). Studies on effect of storage on quality of minimally processed baby corn. Journal of Food Processing & Technology, 5(11). 388
    https://doi: :10.4172/2157-7110.1000388


Book Chapters

  1. Mehan, S. and Eslamian, S. (2023). Movement of Water in Soil. Handbook of Irrigation Hydrology and Management: Irrigation Fundamentals, CRC Press, (Publication Date: 05/23/2023).
    International Standard Book Number-13: 978-0-3672-5819-1.

  2. Mehan, S. (2020). Transformation of pedagogical skills for 21st century. In George, A. Education For Future – An Archive of Humanities, Science and Technology for Sustainable Development (pp 135-139).
    Media House Publications, Delhi.

  3. Srinivasulu, A., Femeena, P., Mehan, S., and Raj, C. (2019). Environmental Impacts of Bioenergy Crop Production and Benefits of Multifunctional Bioenergy Systems. Bioenergy with Carbon Capture and Storage, pp. 195-217, Academic Press.

  4. Mehan, S. , and Singh, K.G. (2015). Use of Mulches in Soil Moisture Conservation: A Review. Best Management Practices for Drip Irrigated Crops, pp. 283 - 293, Apple Academic Press.
    International Standard Book Number-13:978-1-4987-1482-2


Published and Cited Datasets

  1. Mehan, S., and Gitau, M. (2019). Climate Time Series Analysis using R [Data set]. Purdue University Research Repository.
    https://doi.org/10.4231/R77H1GTX (859 views; 212 Downloads; 2 Citations as of 01/2023)

  2. Mehan, S., and Gitau, M. (2019). Climate Projections for the Western Lake Erie Basin for medium and high emission scenarios for hydrologic modeling assessment studies (Indiana, Ohio, and Michigan) [Data set]. Purdue University Research Repository.
    https://doi.org/10.4231/R7C53J3W (628 Views; 119 Downloads; 2 Citations as of 01/2023)

  3. Mehan, S., and Gitau, M. (2019). Climate Projection Data for 21st Century for the Western Lake Erie Basin (Indiana, Ohio, and Michigan) [Data set]. Purdue University Research Repository.
    https://doi.org/10.4231/R7GX48SF (611 Views; 121 Downloads; 2 Citations as of 01/2023)

  4. Mehan, S., and Gitau, M.W. (2019). Spatial-Temporal Climate Projection Data for 21st Century for the Western Lake Erie Basin (WLEB) for Hydrologic Studies [Data set]. Purdue University Research Repository.
    https://doi.org/10.4231/R73R0R42 (575 Views; 121 Downloads; 2 Citations as of 01/2023)