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Publications

I have actively participated in several SCI/SCIE research publications in remote sensing, agriculture, water, and environment-related fields

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Book Chapters
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  1. Liu, J., Pham, Q. B., Arshad, A., & Shalamzari, M. J. (2024). Environmental Footprints of Drought: Focusing on Emerging Issues and Their Underlying Mechanisms. Atmosphere Journal. https://doi.org/10.3390/books978-3-0365-9961-8

  2. Gujree, I., Zhang, F., Meraj, G., Farooq, M., Muslim, M., & Arshad, A. (2022). Soil and Water Assessment Tool for Simulating the Sediment and Water Yield of Alpine Catchments: A Brief Review. Geospatial Modeling for Environmental Management, 37-57.

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SCI/SCIE Journal Papers 
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Under review articles (2023):
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  1. Arfan, A., Akbar, M. U., Akhtar, F., etc., 2024. Data-driven models reveal a physical vulnerability that dominates the groundwater risk in a multi-layer coastal aquifer system of the Mekong Delta. Groundwater for Sustainable Development [Under Review: GSD-D-24-00245] https://track.authorhub.elsevier.com?uuid=79a176e2-9610-4e77-bd8e-dedb8e4de9d7

  2. Akbar, M. U., Mirchi, A., Arshad, A., Mansaray, A., & Saifullah, A. (2024). A Dynamic DRASTIC Approach to Mapping Multi-hazard Groundwater Risk. Journal of Environmental Management [Under review: JEMA-D-24-02796].

  3. Aleem, M., Akbar, M. U., Arshad A., Pandey, M., et al., 2024. Analyzing Impacts of Ten Billion Tree Tsunami Project (TBTTP) on Land Use Land Cover and Regional Climate in Khyber Pakhtunkhwa Province using Machine Learning in Google Earth Engine (GEE). Remote Sensing Applications: Society and Environment [Under review: RSASE-D-24-01021]

  4. Arfan, A., Mirchi, A., Taghvaeian, S., Aghakouchak, A., He, Cenlin., et al., 2024. Extreme rainfall on wet soils compounded with accelerated upstream snowmelt caused unprecedented flooding in the Indus Basin, Pakistan. NatureWater. [Under process for submission]

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Published articles (2017-2023)
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  1. Arshad, A., Mirchi, A., Taghvaeian, S., & AghaKouchak, A. (2024). Downscaled‐GRACE data reveal anthropogenic and climate‐induced water storage decline across the Indus Basin. Water Resources Research, 60(7), e2023WR035882.

  2. Arshad, A. et al., 2023. Reconstructing high-resolution groundwater level data using a hybrid random forest model to quantify distributed groundwater changes in the Indus Basin. Journal of Hydrology, p.130535.

  3. Raheem, A., Ahmad, I., Arshad, A., Liu, J., et al., 2023. Numerical modeling of groundwater dynamics and management strategies for the sustainable groundwater development in water-scarce agricultural region of Punjab, Pakistan. Water, 16(1), p.34.

  4. Fenta, A. A., Tsunekawa, A., Haregeweyn, N., Yasuda, H., Tsubo, M., Borrelli, P., ... Arshad, A., & Panagos, P. (2024). An integrated modeling approach for estimating monthly global rainfall erosivity. Scientific Reports, 14(1), 8167.

  5. Shafeeque, M., Hafeez, M., Sarwar, A., Arshad, A., et al., 2023. Quantifying future water-saving potential under projected climate change and groundwater recharge scenarios in Lower Chenab Canal, Indus River Basin. Theoretical and Applied Climatology, pp.1-18.

  6. Rahman, M. M., Wang, S., Zhao, W., Arshad, A., Zhang, W., & He, C. (2023). Comprehensive Evaluation of Spatial Distribution and Temporal Trend of NO2, SO2 and AOD Using Satellite Observations over South and East Asia from 2011 to 2021. Remote Sensing, 15(20), 5069.

  7. Mumtaz, F., Li, J., Liu, Q., Arshad, A., et al., 2023. Spatio-temporal dynamics of land use transitions associated with human activities over Eurasian Steppe: Evidence from improved residual analysis. Science of The Total Environment, 166940.

  8. Noor, R., Arshad, A., et al., 2023. Combining APHRODITE rain gauges-based precipitation with downscaled-TRMM data to translate high-resolution precipitation estimates in the Indus Basin. Remote Sensing. 2023; 15(2):318.

  9. Arshad, A., Mirchi, A., Samimi, M., & Ahmad, B. (2022). Combining downscaled-GRACE data with SWAT to improve the estimation of groundwater storage and depletion variations in the Irrigated Indus Basin (IIB). Science of the Total Environment, 838, 156044.

  10. Mumtaz, F., Li, J., Liu, Q., Tariq, A., Arshad, A., Dong, Y., ... & Liu, C. (2023). Impacts of green fraction changes on surface temperature and carbon emissions: comparison under forestation and urbanization reshaping scenarios. Remote Sensing, 15(3), 859.

  11. Ren, Y., Liu, J., Zhang, T., Shalamzari, M. J., Arshad, A., Liu, T., ... & Wang, T. (2023). Identification and Analysis of Heatwave Events Considering Temporal Continuity and Spatial Dynamics. Remote Sensing, 15(5), 1369.

  12. Shafeeque, M., Luo, Y., Arshad, A., Muhammad, S., Ashraf, M., & Pham, Q. B. (2023). Assessment of climate change impacts on glacio-hydrological processes and their variations within critical zone. Natural Hazards, 115(3), 2721-2748.

  13. Dilawar, A., Chen, B., Ul-Haq, Z., Amir, M., Arshad, A., Hassan, M., ... & Zhang, H. (2023). Investigating the Potential Climatic Effects of Atmospheric Pollution across China under the National Clean Air Action Plan. Remote Sensing, 15(8), 2084.

  14. Ali, S., Khorrami, B., Jehanzaib, M., Tariq, A., Ajmal, M., Arshad, A., ... & Khan, S. N. (2023). Spatial downscaling of GRACE data based on XGBoost model for improved understanding of hydrological droughts in the Indus Basin Irrigation System (IBIS). Remote Sensing, 15(4), 873.

  15. Aslam, R. A., Shrestha, S., Usman, M. N., Khan, S. N., Ali, S., Sharif, M. S., ... & Arshad, A. (2022). Integrated SWAT-MODFLOW modeling-based groundwater adaptation policy guidelines for Lahore, Pakistan under projected climate change, and human development scenarios. Atmosphere, 13(12), 2001.

  16. Ullah, A. S., Rashid, H., Khan, S. N., Akbar, M. U., Arshad, A., (2022). A localized assessment of groundwater quality status using GIS-based water quality index in industrial zone of Faisalabad, Pakistan. Water, 14(20), 3342.

  17. Saleem, F., Arshad, A., Mirchi, A., et al., (2022). Observed changes in crop yield associated with droughts propagation via natural and human-disturbed agro-ecological zones of Pakistan. Remote Sensing, 14(9), 2152.

  18. Umar, M., Khan, SN., Arshad, A., et al., 2022. Combining SWAT simulated recharge with DRASTIC to quantify aquifer vulnerability to pollution towards sustainable groundwater management in Irrigated Indus Basin. Environmental Sciences and Pollution Research, 3: 1-22.

  19. Ren, Y., Liu, J., Shalamzari, M. J., Arshad, A., Liu, S., Liu, T., & Tao, H. (2022). Monitoring recent changes in drought and wetness in the source region of the Yellow River basin, China. Water, 14(6), 861.

  20. Ali, S., Liu, D., Fu, Q., Cheema, M. J. M., Pal, S. C., Arshad, A., ... & Zhang, L. (2022). Constructing high-resolution groundwater drought at spatio-temporal scale using GRACE satellite data based on machine learning in the Indus Basin. Journal of Hydrology, 612, 128295.

  21. Elbeltagi, A., Azad, N., Arshad, A., at al., (2021). Applications of Gaussian process regression for predicting blue water footprint: Case study in Ad Daqahliyah, Egypt. Agricultural Water Management, 255, 107052.

  22. Dilawar, A., Chen, B., Trisurat, Y., Tuankrua, V., Arshad, A., Hussain, Y., ... & Sun, S. (2021). Spatiotemporal shifts in thermal climate in responses to urban cover changes: A-case analysis of major cities in Punjab, Pakistan. Geomatics, Natural Hazards and Risk, 12(1), 763-793.

  23. Shafeeque, M., Arshad, A., at al., (2021). Understanding temporary reduction in atmospheric pollution and its impacts on coastal aquatic system during COVID-19 lockdown: a case study of South Asia. Geomatics, Natural Hazards and Risk, 12(1), 560-580.

  24. Mumtaz, F., Arshad, A., Mirchi, A., Tariq, A., Dilawar, A., Hussain, S., ... & Tao, Y. (2021). Impacts of reduced deposition of atmospheric nitrogen on coastal marine eco-system during substantial shift in human activities in the twenty-first century. Geomatics, Natural Hazards and Risk, 12(1), 2023-2047.

  25. Sarwar, A., Peters, R. T., Shafeeque, M., Mohamed, A., Arshad, A., Ullah, I., ... & Aslam, R. A. (2021). Accurate measurement of wind drift and evaporation losses could improve water application efficiency of sprinkler irrigation systems− A comparison of measuring techniques. Agricultural Water Management, 258, 107209.

  26. Elbeltagi, A., Kumar, N., Chandel, A., Arshad, A., at al., (2022). Modelling the reference crop evapotranspiration in the Beas-Sutlej basin (India): An artificial neural network approach based on different combinations of meteorological data. Environmental Monitoring and Assessment, 194(3), 141.

  27. Dilawar, A., Chen, B., Arshad, A., at al., (2021). Towards understanding variability in droughts in response to extreme climate conditions over the different agro-ecological zones of Pakistan. Sustainability, 13(12), 6910.

  28. Arshad A.,  et al., 2021. Reconstructing high-resolution gridded precipitation data using an improved downscaling approach over the high-altitude mountain regions of upper Indus basin (UIB). Science of the Total Environment 784 (2021): 147140.

  29. Hina, S., Saleem, F., Arshad, A., Hina, A., & Ullah, I. (2021). Droughts over Pakistan: Possible cycles, precursors and associated mechanisms. Geomatics, Natural Hazards and Risk, 12(1), 1638-1668.

  30. Dilawar, A., Chen, B., Guo, L., Liu, S., Shafeeque, M., Arshad, A., ... & Zhang, H. (2021). Evaluation the WRF Model with Different Land Surface Schemes: Heat Wave Event Simulations and Its Relation to Pacific Variability over Coastal Region, Karachi, Pakistan. Sustainability, 13(22), 12608.

  31. Zhang, Z., Arshad, A., Zhang, C., Hussain, S., & Li, W. (2020). Unprecedented temporary reduction in global air pollution associated with COVID-19 forced confinement: a continental and city scale analysis. Remote Sensing, 12(15), 2420.

  32. Arshad, A., et al. 2020. Mapping favorable groundwater potential recharge zones using a GIS-based analytical hierarchical process and probability frequency ratio model: A case study from an Agro-Urban region of Pakistan. Geoscience Frontiers 11, No. 5 (2020): 1805-1819.

  33. Arshad, A., et al. 2019. Monitoring the impacts of spatio-temporal land-use changes on the regional climate of city Faisalabad, Pakistan. Annals of GIS, 25, No. 1 (2019): 57-70.

  34. Rahman, M. M., Zhang, W., & Arshad, A. (2020). Regional distribution of net radiation over different ecohydrological land surfaces. Atmosphere, 11(11), 1229.

  35. Arshad, A., et al., 2019. Long-Term prospective changes in crop irrigation requirement caused by climate and agriculture land use changes in Rachna Doab, Pakistan. Water 11, No. 8 (2019): 1567.

  36. Arshad, A., 2018. Sensor-based irrigation system for improving water productivity: a critical need for adaption in Pakistan. Open Access Journal of Agriculture Research, DOI: 10.23880/OAJAR-16000157

  37. Arshad, A., 2018. Computing Spatio-Temporal Water Demand of Wheat Crop Using GIS and Remote Sensing-A Case Study of Faisalabad Irrigation District, Pakistan. Open Access Journal of Agriculture Research, DOI: http://dx.doi.org/10.23880/OAJAR-16000178

















 
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