Textbook
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Singh, V.P., and Su, Q., 2022. Irrigation engineering: principles, processes, procedures, design, and management. Cambridge University Press, Cambridge, the U.K., ISBN-13: 978-1316511220.
Book Chapters
1. Singh, V.P., and Su, Q., 2023. Groundwater Use: Where we are and where we are heading. Book Chapter. Water Science and Technology Library. Springer International Publishing expected October 2023. (in press)​
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2. Singh, V.P., and Su, Q., 2022. Water: How secure are we under climate change? In: Sustainability of Water Resources: Impacts and Management. Yadav, B., Mohanty, M.P., Pandey, A., Singh, V.P., and Singh R.D. (Eds.). Water Science and Technology Library, # 116. Springer International Publishing, ISBN: 9783031134661.
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3. Singh, V.P., and Su, Q., 2022. Irrigated agriculture under climate change. In: Case studies: insights on agriculture innovation 2021 (IAAS Series). Lee, T.R. Vital Wellspring Education Pte. Ltd.
Solution Manual
1. Singh, V.P., and Su, Q., 2022. Solutions Manual to “Irrigation engineering: principles, processes, procedures, design, and management.” Cambridge University Press, Cambridge, the U.K., ISBN-13: 978-1316511220.
Journal Publications
[* corresponding author, † co-first author]
2023
28. Su, Q.*, Rohila. J., Ranganathan, R., and Karthikeyan, R.*, 2023. Rice yield and quality in response to daytime and nighttime temperatures increase– a meta-analysis perspective. Science of the Total Environment. 165256.
27. Lin, Y., Wang, Y., Hsieh, J., Jiang, J., Su, Q., and Zhang, R., 2023. Assessing the destructiveness of tropical cyclone by anthropogenic aerosols under an atmosphere-ocean coupled framework. EGUsphere [preprint].
26. Ale, S.*, Su, Q., Singh, J., Himanshu, S.K., Fan, Y., Stoker, B., Gonzalez, E., Sapkota, B.R., Adams, C., Biggers, K., Kimura, E., and Wall. J., 2023. Development and evaluation of a decision support mobile application for cotton irrigation management. Smart Agricultural Technology. 100270.
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25. Xu, W.Y., Xu, T., Thomasson, J.A., Chen, W., Karthikeyan, R., Tian, G., Shi, Y., Ji, C., and Su, Q.*, 2023. A lightweight deep learning method for detection of sugarcane aphids in unstructured natural environments. Computers and Electronics in Agriculture. 211, 107961.
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24. Su, Q.*, and Karthikeyan, R., 2023. Regional water stress forecasting: effects of climate change, socioeconomic development, and irrigated agriculture – a Texas case study. Sustainability. 15(12), 9290.
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23. Su, Q.*, and Singh, V.P., 2023. A calibration-free Priestley-Taylor method for reference evapotranspiration estimation. Water Resources Research. 59, e2022WR033198.
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22. Su, Q.*, Dai, H., Xie, S., Yu, X., Lin, Y., Singh, V.P., and Karthikeyan, R., 2023. Water-energy-carbon nexus: greenhouse gas emissions from integrated urban drainage systems in China. Environmental Science & Technology. 57(5): 2093-2104.
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21. Wang. J., Lin, Y., McFarquhar, G.M., Park, E., Lee, K.W., Gu, Y., Su, Q., Fu, R., Lee, K.W., and Zhang T.H., 2023. Soil moisture observations from shortwave infrared channels reveal tornado tracks: A case in December 10-11, 2021 tornado outbreak. Geophysical Research Letters. doi: 10.1029/2023GL102984. [Reported by ScienceNews]
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2022
20. Su, Q.*, Singh, V.P., and Karthikeyan, R., 2022. Improved reference evapotranspiration methods for regional irrigation water demand estimation. Agricultural Water Management. 274 (1), 107979.
19. Singh, V.P., and Su, Q., 2022. Water-Environment-Energy-Food Nexus: challenges and opportunities under climate change. Indian Journal of Soil Conservation. 50(3): 177-189.
18. Singh, V.P., and Su, Q., 2022. Industry note: Irrigated agriculture under climate change. Int. J. of Agriculture Innovation, Technology and Globalization. 3(1):87-93
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17. Xu, W.Y., Thomasson, J.A., Su, Q., Ji, C., Shi, Y., Zhou, J., and Chen, H., 2022. A segmentation algorithm incorporating superpixel block and holistically nested edge for sugarcane aphids images under natural light conditions. Biosystems Engineering. 216:241-255.
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16. Lin, Y., Wang, Y., Pan, B., Hu, J., Guo, S., Zamora, M., Tian, P., Su, Q., Ji, Y., Zhao, J., Gomez-Hernandez, M., Hu, M., and Zhang, R., 2022. Formation, radiative forcing, and climatic effects of severe regional haze, Atmospheric Chemistry and Physics., 22(7):4951-4967. d
2016-2021
15. Singh, V.P., and Su, Q., 2021. Role of hydrology in natural resources conservation and management. Indian Journal of Soil Conservation. 49 (3): 153-162.
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14. Zhang, Y., Wu, Z., Singh, V.P., Su, Q., He, H., Yin, H., Zhang, Y., and Wang, F., 2021. Simulation of crop water requirements and consumption considering irrigation effects based on coupled Hydrology-Crop Growth model. Journal of Advances in Modeling Earth Systems.13(11): e2020MS002360.
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13. Chen, H., Rücker, A.M., Su, Q., Blosser, G.D., Liu, X., Conner, W.H., and Chow, A.T., 2020. Dynamics of dissolved organic matter and disinfection byproduct precursors along a low elevation gradient in woody wetlands. Water Research. 181, 115908.
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12. Su, Q., Dai, H., Chen, H., Lin, Y., Xie, Y., and Karthikeyan, R., 2019. General equilibrium analysis of co-benefits and trade-offs of carbon mitigation on local industrial water use and pollutants discharge in China. Environmental Science & Technology. 53 (3): 1715–1724.
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11. Xu, W., Chen, H., Su, Q., Ji, C., Xu, W., Memon, M.S., and Zhou, J., 2019. Shadow detection and removal in apple image segmentation under natural light conditions using an ultrametric contour map. Biosystems Engineering, 184, 142-154.
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10. Chen H., Tsai, K.P., Su, Q., Chow, A.T., and Wang, J., 2019. Throughfall dissolved organic matter as a terrestrial source of disinfection byproduct precursors. ACS Earth and Space Chemistry. 3,8,1603-1613.
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9. Su, Q., Dai, H., Lin, Y., Chen, H., and Karthikeyan, R., 2018. Modeling the carbon-energy-water nexus in a rapidly urbanizing catchment. Journal of Environmental Management. 225, 93-103.
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cited by the IPCC AR6 report (Working Group III, 2022) to illustrate the cost and benefit of carbon mitigation
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8. Cao, C., Liu, S., Ma, Z., Lin, Y., Su, Q., Chen, H., and Wang, J., 2018. Dynamics of multiple elements in fast decomposing vegetable residues. Science of the Total Environment. 616, 614-621.
7. Chen, H., Lin, Y., Su, Q., and Cheng, L., 2017. Spatial variation of multiple air pollutants and their potential contributions to all-cause, respiratory, and cardiovascular mortality across China in 2015-2016. Atmospheric Environment. 168, 23-35.
2015 and Earlier
6. Su, Q., Qin, H.P., and Fu, G.T., 2014. Environmental and ecological impacts of water supplement schemes in a heavily polluted estuary. Science of the Total Environment. 472C: 704-711.
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5. Qin, H.P., Su, Q., Khu, S.T., and Tang, N., 2014. Water quality changes during rapid urbanization in the Shenzhen River catchment. Sustainability. 6(6): 7433-7451.
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4. Qin, H.P., Su, Q., and Khu, S.T., 2013. Assessment of environmental improvement measures using a novel integrated model. Journal of Environmental Management. 114: 486-495.
3. Qin, H.P., Su, Q., and Khu, S.T., 2011. An integrated model for water management in a rapidly urbanizing catchment. Environmental Modelling & Software. 26(12): 1502-1514.
2. He, L.Y., Lin, Y., Huang, X., Guo, S., Xue, L., Su, Q., Hu, M., Luan, S., and Zhang, Y., 2010. Characterization of high-resolution aerosol mass spectra of primary organic aerosol emissions from Chinese cooking and biomass burning. Atmospheric Chemistry and Physics. 10(23): 11535-11543,
1. Su, Q., Qin, H.P., and Zhao, Z.J., 2009. Modeling effects of regional industrial structure adjustment on water resource balance and water quality improvement. China Environmental Science. 29(7): 767-772. (in Chinese)
Conference Papers
Full length/proceedings paper
[* corresponding author, † co-first author]
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4. Man, Y., R.H. Mohtar, and Su, Q., Using Water-Energy-Food Nexus analysis index to develop sustainable development policy in transboundary River Basin, a case study of Mekong River Basin. XVI IWRA World Water Congress, Cancun, Mexico. 29 May-3 June 2017.
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3. Qin, H.P., and Su, Q., Cause and effect analysis of water quality, socio-economic development, and environmental improvement measures: a case study of Shenzhen River. China Water Pollution Meeting, Nanchang, China, 2010 [in Chinese].
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2. Qin, H.P., Su, Q., S.T. Khu, and Z. Zhao, Coupled system dynamic and water quality modeling of integrated measures for water environment improvement in an urbanized catchment. P6295-6302, 33rd IAHR Congress, Vancouver, Canada, 2009.
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1. Qin, H.P., Su, Q., S.T. Khu, Z. Zhao, W. Wang, and Y. Zhang, Policy simulation of industrial structure adjustment for water environment improvement in urbanized Shenzhen River catchment, China. P7369-7376, 33rd IAHR Congress, Vancouver, Canada, 2009.
Abstract/Posters/Presentations
[* leading/corresponding author, § presenter]
21. Ranganathan, S.§, Karthikeyan, R., and Su, Q., 2023. Meta-analytic study of experimental data in the presence of missingness and unbalanced experimental factors. 6th International Conference on Econometrics and Statistics. Tokyo, Japan, Aug. 1-3, 2023.
20. O’Halloran, L.R.§, Karthikeyan, R., and Su, Q., 2023. Trait variability in a South Carolina salt marsh grass species facing impacts from climate change. Ecological Society of America. Portland, OR, Aug 6-11, 2023.
19. Su, Q.§, Rohila, J.S., and Karthikeyan, R., 2023. Do daytime and nighttime temperatures affect rice yield and quality? 2023 Rice Technical Working Group Conference. Hot Springs, AR. Feb 19-23, 2023.
18. Singh, V.P.§ and Su, Q., 2022. Groundwater Use: Where we are and where we are heading. 9th International Groundwater Conference, India, Nov 2-4, 2022. [Keynote presentation]
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17. Ale, S§., Su, Q., Singh, J., Himanshu, S.K., Fan, Y., Stoker, B., Gonzalez, E., Sapkota, B.R., Adams, C., Biggers, K., Kimura, E., and Wall. J., 2021. idCROP: An Irrigation Decision Support System for Conserving Resources and Optimizing Cotton Production. ASA, CSSA, SSSA International Annual Meeting, Salt Lake City, UT, Nov. 7-10, 2021.
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16. Sapkota, B.R.§, Adams, C.B., Ale, S., Su, Q., and Rajan, N., 2021. Evaluating the Use of Pivot Irrigation System-Mounted Sensors for Irrigation Management in Cotton. ASA, CSSA, SSSA International Annual Meeting, Salt Lake City, UT, Nov. 7-10, 2021.
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15. Su, Q.§, Ale, S., Himanshu, S.K., Singh, J., and Singh, V.P., 2021. Improving the reliability of monthly and seasonal weather forecasts of the North American Multi-Model Ensemble (NMME) for regional crop modeling. ASABE Annual Meeting Paper No. 2100540. 12-16 July 2021, Virtual Meeting. [ASABE Oral Presentation Competition Award]
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14. Su, Q.§, Ale, S., Adams, C.B., Singh, J., Himanshu, S.K., and Singh, V.P., 2021. Comparison of four crop water stress index models in irrigation scheduling of cotton. ASABE Annual Meeting Paper No. 2100541. 12-16 July 2021, Virtual Meeting.
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13. Ale, S§., Su, Q., Singh, J., Himanshu, S.K., Fan, Y., Stoker, B., Gonzalez, E., Sapkota, B.R., Adams, C.B., Biggers, K., Kimura, E., and Wall. J., 2021. An irrigation decision support system for Conserving Resources and Optimizing Cotton Production (idCROP). ASABE Annual Meeting Paper No. 2101084. 12-16 July 2021, Virtual Meeting.
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12. Singh, J.§, Ale, S., Kimura, E., Kimura, E., Su, Q., and Adams, C.B., 2021. Determination of DSSAT-CSM-CROPGRO-Cotton model cultivar coefficients from cotton variety trial data for regional-scale crop yield prediction. ASABE Annual Meeting Paper No. 2100351. 12-16 July 2021, Virtual Meeting.
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11. Su, Q.*§, Dai, H., Chen, H., Lin, Y., Xie, Y., and Karthikeyan, R., 2019. General equilibrium analysis of co-benefits and trade-offs of carbon mitigation on local industrial water use and pollutants discharge in China, poster presentation Water Daze, Texas A&M University. [Student Poster Competition Award]
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10. Su, Q.*§, Dai, H., Lin, Y., Chen, H., and Karthikeyan, R., 2018. An integrated model for carbon-energy-water management in a rapidly urbanizing catchment, oral presentation at AGU Fall Meeting, Washington, D.C., US, 10-14 Dec. 2018.
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9. Su, Q.* and Munster, B.§, 2018. The impact of future urban expansion on streamflow in Bryan/College Station, TX, Watershed. SWAT 2018 Conference, Brussels, Belgium, 19-21 Sep. 2018.
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8. Su, Q.*§ and Karthikeyan, R., 2017. A GIS-based integrated model for water resource management in Texas under climate variability, socio-economic development, and crop irrigation scenarios, poster presentation at GIS Day Texas A&M University, College Station, TX, United States, 16 Nov. 2017.
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7. Su, Q.*, Dai, H.§, Lin, Y., Yang, X., Chen, H., and Karthikeyan, R., 2017. A Computable General Equilibrium (CGE)-based integrated model for water management under CO2 mitigation strategies in a rapidly urbanizing catchment. The 7th Congress of EAAERE, Singapore. 5-7 Aug. 2017.
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6. Man, Y§., Mohtar, R.H., and Su, Q., 2017. A Sustainable Development Policy for Transboundary Mekong River Basin: A System Dynamics and Water Energy Food Nexus Model. XVI IWRA World Water Congress, Cancun, Mexico. 29 May-3 June 2017.
5. Su, Q.*§, Karthikeyan, R., and Lin, Y., 2017. An integrated modeling system for water resource management under climate change, socio-economic development, and irrigation management, poster presentation at AGU Fall Meeting, New Orleans, LA, United States, 11-15 Dec. 2017.
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4. Su, Q.*§, Dai, H., and Karthikeyan, R., 2017. Energy-Water-Nexus: An integrated model to support decision making among different sectors, poster presentation at the 2nd Annual Texas A&M Conference on Energy, College Station, TX, United States, 27 Sep. 2017.
3. Su, Q.*§. and Karthikeyan, R., 2017. A Computable General Equilibrium (CGE)-based integrated model for water management under CO2 mitigation strategies in a rapidly urbanizing catchment, poster presentation at Water Daze of Texas A&M University, College Station, TX, United States, 4 Apr. 2017. [Student Poster Competition Award]
2.Qin, H.P.§ and Su, Q., 2011. Water Quality and Environmental Flow Management in Rapidly Urbanizing Shenzhen Estuary Area, China. Poster presentation at AGU Fall Meeting, San Francisco, CA, United States, 5-9 Dec. 2011.
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1. Qin, H.P.§ and Su, Q., 2010. Cause and effect analysis of water quality, socio-economic development, and environmental improvement measures: a case study of Shenzhen River. China Water Pollution Meeting, Nanchang, China, 23-24 Dec. 2010.​
Popular Press Ariticles
​1. Ale, S., Su, Q., Singh, J., Himanshu, S.K., Fan, Y., Stoker, B., Gonzalez, E., Sapkota, B.R., Adams, C., Biggers, K., Kimura, E., and Wall. J., 2022. A novel crop model- and sensor-based decision support system for cotton irrigation management. ASABE Resource Magazine.