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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. Link

  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. Link​​

 
 Journal Papers 
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Under review articles (2025):
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  1. Arshad, A., Tran, DNT., et al., 2025. Quantifying water resources changes across natural and managed landscapes in drainage catchments of Indus Basin: Comparison of GRACE/GRACE-FO datasets and ML-driven geo-spatial downscaling. Journal of Environmental Management [Submitted]

  2. Sebastian Marshall, Thanh-Nhan-Duc Tran, Arfan Arshad. 2025. Decadal Trends in Meteorological Variables and Land Surface Responses under Climate Scenarios. Journal of Environmental Management. Link

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Published articles (2017-2025)
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  1. Akbar, M. U., Mirchi, A., Arshad, A., Mansaray, A., & Saifullah, A. (2025). A Dynamic DRASTIC Approach to Mapping Multi-hazard Groundwater Risk. Geoscience Frontiers. Link

  2. Arfan, A., Akbar, M. U., Akhtar, F., etc., 2025. Data-driven models reveal a physical vulnerability that dominates the groundwater risk in a multi-layer coastal aquifer system of the Mekong Delta. Earth Systems and Environment [Accepted]

  3. Arfan, A., Mirchi, A., He, Cenlin., Aghakouchak, A., et al., 2025. Anthropogenic and Climatic Drivers of the 2022 Mega-Flood in Pakistan. npj Natural Hazards. Link

  4. Arshad, A., Shafeeque, M., Tran, T. N. D., Mirchi, A., Xiang, Z., He, C., ... & Rahman, M. M. (2025). Multi-model ensemble machine learning-based downscaling and projection of GRACE data reveals groundwater decline in Saudi Arabia throughout the 21st century. Journal of Hydrology: Regional Studies, 60, 102552. Link

  5. Akbar, M. U., Mirchi, A., Arshad, A., Alian, S., Mehata, M., Taghvaeian, S., ... & Wagner, K. (2025). Multi-model ensemble mapping of irrigated areas using remote sensing, machine learning, and ground truth data. Agricultural Water Management, 312, 109416. Link

  6. Rahman, M. M., Shults, R., Tiwari, S. P., Arshad, A., Usman, M., Raihan, A., & Ishraque, M. F. (2025). Review on sea water quality (SWQ) monitoring using satellite remote sensing techniques (SRST). Marine Pollution Bulletin, 217, 118108. Link

  7. Marshall, S. R., Tran, T. N. D., Arshad, A., Rahman, M. M., & Lakshmi, V. (2025). SWAT and CMIP6-driven hydro-climate modeling of future flood risks and vegetation dynamics in the White Oak Bayou Watershed, United States. Earth Systems and Environment, 1-24. Link

  8. Yousefi, R., Wang, F., Shaheen, A., Ge, Q., Kaveh-Firouz, A., Kaskaoutis, D. G., & Arshad, A. (2025). Long-term perspectives on land-use changes and air pollution policies in Iran: A comparative analysis of regional and global patterns in atmospheric PM2. 5. Journal of Environmental Management, 375, 124346. Link

  9. Javed, U., McMaine, J., Arshad, A., Hussain, S., Muhammad, S., Akbar, M. U., ... & Noor, R. (2024). Integrated geophysical investigations of groundwater for sustainable management in Faisalabad region of Pakistan. Environmental Earth Sciences, 83(24), 673. Link

  10. Vu, C. H., Nguyen, B. Q., Tran, T. N. D., Vo, D. N., & Arshad, A. (2024). Climate Change-Driven Hydrological Shifts in the Kon-Ha Thanh River Basin. Water, 16(23), 3389. Link

  11. Aleem, M., Khan, S. N., Akbar, M. U., Arshad, A., Alsubhi, Y., Pandey, M., ... & Nasir, A. (2024). Ten Billion Tree Tsunami Project Reveals Climate Change Mitigation and Precipitation Increase in Khyber Pakhtunkhwa Province, Pakistan. Earth Systems and Environment, 1-18. Link

  12. Arshad, A., et al., (2024). Downscale‐GRACE data reveal anthropogenic and climate‐induced terrestrial/groundwater storage decline across the Indus Basin. Water Resources Research, 60(7). Link

  13. Liu, J., Zhang, T., Ren, Y., Willems, P., Mirchi, A., Arshad, A., ... & Pham, Q. B. Three‐dimensional evaluation framework of hazard–exposure–vulnerability for mapping heatwave risk and associated dominant dimensions in China. International Journal of Climatology. Link

  14. Rahman, M. M., Shults, R., Hasan, M. G., Arshad, A., Alsubhi, Y. H., & Alsubhi, A. S. (2024). Exploring the Trends of Aerosol Optical Depth and Its Relationship with Climate Variables over Saudi Arabia. Earth Systems and Environment, 8(4), 1247-1265. Link

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

  16. 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. Link

  17. 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. Link

  18. 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. Link

  19. 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. Link

  20. 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. Link

  21. 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. Link

  22. 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 groundwater droughts in the Indus Basin Irrigation System (IBIS). Remote Sensing, 15(4), 873. Link

  23. 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. Link

  24. Lu, Quang-Oai, Kourosh Ahmadi, Shirin Mahmoodi, Ayoob Karami, Ismail Elkhrachy, Ismail Mondal, Arfan Arshad, Trinh Trong Nguyen, Nguyen Thuy Lan Chi, and Van Nam Thai. "Hybrid regularization and weighted subspace algorithms with random forest model for assessing piping erosion in semi-arid ecosystem." Environmental Earth Sciences 82, no. 22 (2023): 527. Link

  25. 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. Link

  26. 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. Link

  27. 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. Link

  28. 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. Link

  29. Elbeltagi, A., Kumar, N., Chandel, A., Arshad, A., Pande, C. B., & Islam, A. R. M. T. (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. Link

  30. 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. Link

  31. 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.Link

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

  33. 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. Link

  34. 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. Link

  35. 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. Link

  36. Rahman, M. M., Shuo, W., Zhao, W., Xu, X., Zhang, W., & Arshad, A. (2022). Investigating the relationship between air pollutants and meteorological parameters using satellite data over Bangladesh. Remote Sensing, 14(12), 2757. Link

  37. Vojtek, M., Vojteková, J., Costache, R., Pham, Q. B., Lee, S., Arshad, A., ... & Anh, D. T. (2021). Comparison of multi-criteria-analytical hierarchy process and machine learning-boosted tree models for regional flood susceptibility mapping: a case study from Slovakia. Geomatics, Natural Hazards and Risk, 12(1), 1153-1180. Link

  38. 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. Link

  39. 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. Link

  40. 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. Link

  41. 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. Link

  42. 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. Link

  43. 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. Link

  44. 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. Link

  45. Shafeeque, M., Arshad, A., Elbeltagi, A., Sarwar, A., Pham, Q. B., Khan, S. N., ... & Al-Ansari, N. (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. Link

  46. 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. Link

  47. 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. Link

  48. 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. Link

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

  50. Mumtaz, F., Tao, Y., De Leeuw, G., Zhao, L., Fan, C., Elnashar, A., ... & Wang, D. (2020). Modeling spatio-temporal land transformation and its associated impacts on land surface temperature (LST). Remote Sensing, 12(18), 2987. Link

  51. 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. Link

  52. 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 Link

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