Publications

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Zhao, Z., Q. Liu, A. Huo, Y. Cheng, W. Guan, E. L. Mohamed, A. Mokhtar, and A. Elbeltagi, "A novel integrated approach for monitoring drought stress in an aeolian desertification area using Vegetation Drought Status Index", Water Supply, vol. 23, issue 2, pp. 738-748, 2023. a_novel_integrated_approach_for_monitoring_drought_stress_in_an_aeolian_desertificationarea_using_vegetation_drought_status_index.pdf
Zhao, H., J. Zhou, Q. Sun, C. O. Delang, A. Mokhtar, Y. Ma, and H. He, "Analysis of relationship between soil erosion and lake deposition during the Holocene in Xingyun Lake, southwestern China", The Holocene, vol. 31, issue 9, pp. 1391-1400, 2021.
Zhang, C., H. He, and A. Mokhtar, "The impact of climate change and human activity on spatiotemporal patterns of multiple cropping index in South West China", Sustainability, vol. 11, no. 19: Multidisciplinary Digital Publishing Institute, pp. 5308, 2019. Abstract
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Touch, T., C. Oeurng, Y. Jiang, and A. Mokhtar, "Integrated Modeling of Water Supply and Demand Under Climate Change Impacts and Management Options in Tributary Basin of Tonle Sap Lake, Cambodia", Water, vol. 12, no. 9: Multidisciplinary Digital Publishing Institute, pp. 2462, 2020. Abstract
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SafwanMohammedabcjdeafgSwapanTalukdarhSzilárdSzabóiEndreHarsanyi, M. Hussien, K. Alsafadi, A. Mokhtar, G. Rianna, I. Kbibo, MonaBarkat, SwapanTalukdar, S. Szabó, and E. Harsanyi, "Assessing the WEPP model performance for predicting daily runoff in three terrestrial ecosystems in western Syria", Heliyon, vol. 7, issue 4, no. 3: Royal Society of Chemistry, pp. e06764, 2021. Abstract

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Saad Eddin, M. R., A. M. Hassan, A. A. Hegazi, S. F. M. Eid, and A. Mokhtar, "Effects of root watering system on yield, water use efficiency and fruit quality of date palm (c.v. Siwi): a case study in the arid climate, Egypt", Irrigation Science, pp. 1-13, 2023. effects_of_root_watering_system_on_yield_water_use.pdf
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Mokhtar, A., W. El-Ssawy, H. He, N. Al-Ansari, S. S. Sammen, Y. Gyasi-Agyei, and M. Abuarab, "Using Machine Learning Models to Predict Hydroponically Grown Lettuce Yield", Frontiers in Plant Science, vol. 13, 2022. using_machine_learning_models_to_predict_hydroponically_grown_lettuce_yield.pdf
Mokhtar, A., H. He, K. Alsafadi, Y. Li, H. Zhao, S. Keo, C. Bai, M. Abuarab, C. Zhang, K. Elbagoury, et al., "Evapotranspiration as a response to climate variability and ecosystem changes in southwest, China", Environmental Earth Sciences, vol. 79, no. 12: Springer Berlin Heidelberg, pp. 1–21, 2020. Abstract
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Mokhtar, A., A. Elbeltagi, S. Maroufpoor, N. Azad, H. He, K. Alsafadi, Y. Gyasi-Agyei, and W. He, "Estimation of the rice water footprint based on machine learning algorithms", Computers and Electronics in Agriculture, vol. 191, no. 1, pp. 106501, 2021. Abstract

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Mokhtar, A., M. Jalali, H. He, N. Al-Ansari, A. Elbeltagi, K. Alsafadi, H. Ghassan, S. S. Sammen, Y. Gyasi-Agyei, and J. Rodrigo-Comino, "Estimation of SPEI Meteorological Drought Using Machine Learning Algorithms", IEEE Access, vol. 99: Elsevier, pp. 65503-65523, 2021. Abstract

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Mokhtar, A., H. He, N. Al-Ansari, W. El-Ssawy, R. Graf, P. Aghelpour6, S. M. Hafez, and M. Abuarab, "Prediction of Irrigation Water Requirements for Green Beans‑Based Machine Learning Algorithm Models in Arid Region", Water Resources Management, pp. 1-24, 2023. prediction_of_irrigation_water_requirements_for_green_beans-based_machine_learning_algorithm_models_in_arid_region.pdf
Mokhtar, A., H. He, H. Zhao, S. Keo, C. Bai, C. Zhang, Y. Ma, A. Ibrahim, Y. Li, F. Li, et al., "Risks to water resources and development of a management strategy in the river basins of the Hengduan Mountains, Southwest China", Environmental Science: Water Research & Technology, vol. 6, no. 3: Royal Society of Chemistry, pp. 656–678, 2020. Abstract
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Mokhtar, A., H. He, K. Alsafadi, S. Mohammed, W. He, Y. Li, H. Zhao, N. M. Abdullahi, and Y. Gyasi-Agyei, "Ecosystem Water Use Efficiency Response to Drought Over Southwest China", Ecohydrology, no. 10: Multidisciplinary Digital Publishing Institute, pp. 2317, 2021. Abstract

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Mokhtar, A., A. Elbeltagi, Y. Gyasi-Agyei, N. Al-Ansari, and M. K. Abdel-Fattah, "Predicting of Irrigation Water Quality Indices based on Machine learning and Regression Models ", Applied Water Science, vol. 12, issue 4, pp. 1-14, 2022. predicting_of_irrigation_water_quality_indices_based_on_machine_learning_and_regression_models.pdf
Mokhtar, A., H. He, K. Alsafadi, S. Mohammed, O. O. Ayantobo, A. Elbeltagi, O. M. M. Abdelwahab, H. Zhao, Y. Quan, H. G. Abdo, et al., "Assessment of the effects of Spatiotemporal Characteristics of Drought on Crop Yields in Southwest China", International Journal of Climatology: Elsevier, pp. 1–20, 2021. Abstract

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Mohammed, S., H. G. Abdo, S. Szabo, Q. B. Pham, I. J. Holb, N. T. T. Linh, D. T. Anh, K. Alsafadi, A. Mokhtar, I. Kbibo, et al., "Estimating human impacts on soil erosion considering different hillslope inclinations and land uses in the coastal region of Syria", Water, vol. 12, no. 10: Multidisciplinary Digital Publishing Institute, pp. 2786, 2020. Abstract
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Mohammed, S., E. Hassan, H. G. Abdo, S. Szabo, A. Mokhtar, K. Alsafadi, I. Al-Khouri, and J. Rodrigo-Comino, "Impacts of rainstorms on soil erosion and organic matter for different cover crop systems in the western coast agricultural region of Syria", Soil Use and Management, vol. 37, no. 1, pp. 196–213, 2021. Abstract
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el fatieh Ismael, M., A. Mokhtar, M. Farooq, and X. Lü, "Assessing drinking water quality based on physical, chemical and microbial parameters in the Red Sea State, Sudan using a combination of water quality index and artificial neural network model", Groundwater for Sustainable Development, vol. 14, no. 9: Multidisciplinary Digital Publishing Institute, pp. 100612, 2021. Abstract

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el fatieh Ismael, M., A. Mokhtar, H. Adil, X. Li, and X. Lü, "Appraisal of heavy metals exposure risks via water pathway by using a combination pollution indices approaches, and the associated potential health hazards on population, Red Sea State, Sudan", Physics and Chemistry of the Earth, vol. 127, pp. 103153., 2022. appraisal_of_heavy_metals_exposure_risks_via_water_pathway_by_using_a_combination_pollution_indices_approaches_and_the_associated_potential_health_hazards_on_population_red_sea_state_sudan.pdf
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El‑Hameed, M. A. M., M. Abuarab, N. Al‑Ansari, S. A. Mottaleb, G. A. Bakeer, Y. Gyasi‑Agyei, and A. Mokhtar, "Phycoremediation of contaminated water by cadmium (Cd) using two cyanobacterial strains (Trichormus variabilis and Nostoc muscorum)", Environmental Sciences Europe , vol. 33, no. 12: Springer Berlin Heidelberg, pp. 135, 2021. Abstract

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Elbeltagi, A., N. Kumari, J. K. Dharpure, A. Mokhtar, K. Alsafadi, M. Kumar, B. Mehdinejadiani, H. Ramezani Etedali, Y. Brouziyne, A. R. M. T. Islam, et al., "Prediction of Combined Terrestrial Evapotranspiration Index (CTEI) Over Large River Basin Based on Machine Learning Approaches", Water, vol. 13, no. 12: Springer Berlin Heidelberg, pp. 547, 2021. Abstract

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Elbeltagi, A., M. R. Aslam, A. Mokhtar, P. Deb, G. A. Abubakar, N. L. Kushwaha, L. P. Venancio, A. Malik, N. Kumar, and J. Deng, "Spatial and temporal variability analysis of green and blue evapotranspiration of wheat in the Egyptian Nile Delta from 1997 to 2017", Journal of Hydrology, vol. 594: Elsevier, pp. 125662, 2021. Abstract
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Elbeltagi, A., N. Azad, A. Arshad, S. Mohammed, A. Mokhtar, C. Pande, H. Ramezani Etedali, S. A. Bhat, A. R. M. T. Islam, and J. Deng, "Applications of Gaussian process regression for predicting blue water footprint: Case study in Ad Daqahliyah, Egypt", Agricultural Water Management , vol. 255, no. 9: Multidisciplinary Digital Publishing Institute, pp. 107052, 2021. Abstract

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EL-HAMEED, A. B. D., M. E. S. A.M., Abuarab, N. Al-Ansari, H. S. Mehawed, M. A. Kassem, H. He, Y. Gyasi-Agyei, and A. Mokhtar, "Winter Potato Water Footprint Response to Climate Change in Egypt", Atmosphere, vol. 13, issue 7, pp. 1052, 2022. winter_potato_water_footprint_response_to_climate_change.pdf
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Bai, C., H. He, Y. Li, W. He, H. Zhao, A. Mokhtar, S. Keo, C. Zhang, Y. Ma, and Q. He, "Land cover dynamic change in the Napahai Basin using the optimized random forest model", Journal of Applied Remote Sensing, vol. 13, no. 4: International Society for Optics and Photonics, pp. 044518, 2019. Abstract
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