基本信息
姓名🧑🎤：Khalil Ur Rahman
最後學歷🏌🏿：博士
工作單位：摩臣2平台 職位：副教授
郵箱：
khalil_rahman@sdu.edu.cn🔷；engr.khalil0598@gmail.com
研究領域
水文與水資源、遙感應用🧔🏼♂️、氣候變化🔛、幹旱和GRACE衛星應用等
研究方向
水文與水資源：
1.水文模型（地表水和地下水）。
2.非飽和帶模擬🂠🤌🏻。
3.雨水收集及其對水資源的影響。
4.機器學習和數理統計技術在水文與水資源管理中的應用🎯。
遙感應用：
1.評估遙感技術在水文與水資源中的應用。
2.衛星降水數據集的開發和評估。
3.Google Earth Engine 應用程序。
4.土地利用影響評估。
氣候變化：
1.氣候變化對水資源的影響評估。
2.氣候模式的降尺度化和效果評估🌩。
幹旱：
1.幹旱特征描述（幹旱情況估計和幹旱傳播過程）。
2.幹旱指數的確定並在局部範圍內進行驗證🧑。
3.量化氣候變化和土地利用變化對幹旱的影響🏃🏻♂️➡️。
GRACE衛星應用：
1.利用GRACE衛星評估總水儲量的變化。
2.對GRACE衛星數據進行時空降尺度處理。
3.應用GRACE監測地下水位的實時波動。
學習經歷
● 2017 – 2021🫵，清華大學⏭，博士學位，水利工程專業
● 2015 – 2017，沙特阿拉伯阿蔔杜勒阿齊茲大學，碩士學位🫸🏿，水文與水資源管理專業
● 2009 – 2013👨🏿🚒，巴基斯坦白沙瓦工程技術大學，學士學位😝，水文與水資源專業
工作經歷
● 2024.2–至今：摩臣2平台🕉，副教授。
● 2021.11–2023.11🥍：清華大學♒️，博士後（水木學者）。
科研項目
● 2023.1 - 2023.12👩🏿🚀🛳：中國國家自然科學基金委員會（NSFC）、國際青年科學家研究基金（RFIS-I）資助“利用 GRACE 衛星監測幹旱氣候區地下水位的實時波動情況”（20萬元🌴，主持）🔛。
● 2023.1 - 2023.12：中國博士後科學基金會資助“通過優化 VCI 和 TCI 權重開發和評估穩健的 VHI以適應嚴峻的氣候和土地利用變化”（8萬元🤦🏽♂️👥，主持）。
● 2023.1 - 至今✋👨🏿⚕️：中國國家自然科學基金委員會資助“基於遙感的春季至秋季/冬季灌溉對幹旱地區前一年表層土壤水分和鹽分狀況的檢測和分析”（參與）。
● 2021.1 - 至今：巴基斯坦高等教育委員會、中巴經濟走廊（CPEC-CRG）研究基金資助“基於巴基斯坦氣候變化和土地利用情況的水資源收集的經濟和環境影響研究”（參與）。
社會學術兼職
● 國際冰川學會（IGS）會員
● 青年水文學家協會（YHS）會員
● 巴基斯坦工程委員會（PEC）會員
● 國際工程地質與環境協會（IAEG）會員
● HydroSensing社區創始人（www.hydrosensing4u.com）
發表論文（*通訊作者）
2024:
1. Rahman, K.U., Ejaz, N., Shang, S.*, Balkhair, K.S., Alghamdi, K.M., Zaman, K., Khan, M.A. and Hussain, A., 2024. A robust integrated agricultural drought index under climate and land use variations at the local scale in Pakistan. Agricultural Water Management, 295, p.108748.
2. Ejaz, N., Khan, A.H., Shahid, M., Zaman, K., Balkhair, K.S., Alghamdi, K.M., Rahman, K.U.* and Shang, S., 2024. Superiority of Dynamic Weights against Fixed Weights in Merging Multi-Satellite Precipitation Datasets over Pakistan. Water, 16(4), p.597.
3. Rahman, K.U., Ejaz, N., Saleem, M.W., Mao, D., Balkhair, K.S., Khan, K.U.J., and Shang, S.*, 2024. Global Assessment of novel and robust Vegetation Health Indices: Bridging Climate Change and Land Use variations using PCA-weighted drought framework. Remote Sensing of Environment (Under Review).
4. Jing, L., Chen, C., Xinmin, M., Shiliang, L., and Rahman, K.U., Mao, D., 2024. Utilizing the electrical resistivity tomography to map contamination in a quarry. Journal of Environmental Management (Under Review).
5. Khan, A.H., Ejaz, N., Ali, M.Z., Rahman, K.U.*, Jadoon, K.Z., and Shang, S., 2024. Unraveling Groundwater Dynamics in The Depleted Aquifer of Indus Basin Using GRACE Satellite and In-Situ Observations. Science of the Total Environment (Under Review).
6. Masud, T., Khan, A., Khan, M., Ajmal, M., and Rahman, K.U.*, 2024. Impact of Climate Change on Streamflow Projections Over Chenab River 2 Basin Under CMIP6 Scenarios. Journal of Hydrology: Regional Studies (Under Review).
7. Shahid, M., Waseem, M., Rahman, K.U.*, Haider, S., and Gabriel, H.F., 2024. An Innovative conceptual framework to identify the potential sites for rainwater harvesting in arid regions. Applied Water Science (Under Review).
8. Rahman, K.U., Shang, S., Balkhair, K.S., Gabriel, H.F., Jadoon, K.Z., and Zaman, K., 2024. Catchment scale assessment of drought impact on environmental flow in the Indus Basin, Pakistan. Natural Hazards and Earth System Sciences (Under Review).
2023:
1. Qian, X., Qi, H., Shang, S., Wan, H., Rahman, K.U. and Wang, R., 2023. Deep Learning-based Near-real-time Monitoring of Autumn Irrigation Extent at Sub-pixel Scale in a large Irrigation District. Agricultural Water Management, 284, p.108335.
2. Ashraf, M.S., Shahid, M., Waseem, M., Azam, M. and Rahman, K.U.*, 2023. Assessment of Variability in Hydrological Droughts Using the Improved Innovative Trend Analysis Method. Sustainability, 15(11), p.9065.
3. Zahran, H., Ali, M.Z., Jadoon, K.Z., Yousafzai, H.U.K., Rahman, K.U.* and Sheikh, N.A., 2023. Impact of Urbanization on Groundwater and Surface Temperature Changes: A Case Study of Lahore City. Sustainability, 15(8), p.6864.
4. Rahman, K.U., Shang, S., Balkhair, K. and Nusrat, A., 2023. Catchment-Scale Drought Propagation Assessment in the Indus Basin of Pakistan Using a Combined Approach of Principal Components and Wavelet Analyses. Journal of Hydrometeorology, 24(4), pp.601-624.
5. Ejaz, N., Bahrawi, J., Alghamdi, K.M., Rahman, K.U. and Shang, S., 2023. Drought Monitoring Using Landsat Derived Indices and Google Earth Engine Platform: A Case Study from Al-Lith Watershed, Kingdom of Saudi Arabia. Remote Sensing, 15(4), p.984.
6. Ejaz, N., Elhag, M., Bahrawi, J., Zhang, L., Gabriel, H.F. and Rahman, K.U.*, 2023. Soil Erosion Modelling and Accumulation Using RUSLE and Remote Sensing Techniques: Case Study Wadi Baysh, Kingdom of Saudi Arabia. Sustainability, 15(4), p.3218.
7. Rahman, K.U., Hussain, A., Ejaz, N., Shang, S., Balkhair, K.S., Khan, K.U.J., Khan, M.A. and Rehman, N.U., 2023. Analysis of production and economic losses of cash crops under variable drought: A case study from Punjab province of Pakistan. International Journal of Disaster Risk Reduction, 85, p.103507.
8. Hussain, A., Jadoon, K.Z., Rahman, K.U., Shang, S., Shahid, M., Ejaz, N. and Khan, H., 2023. Analyzing the impact of drought on agriculture: evidence from Pakistan using standardized precipitation evapotranspiration index. Natural Hazards, 115(1), pp.389-408.
2022:
1. Hussain, A., Rahman, K.U., Shahid, M., Haider, S., Pham, Q.B., Linh, N.T.T. and Sammen, S.S., 2022. Investigating feasible sites for multi-purpose small dams in Swat District of Khyber Pakhtunkhwa Province, Pakistan: socioeconomic and environmental considerations. Environment, Development and Sustainability, pp.1-24.
2. Rahman, K.U., Pham, Q.B., Jadoon, K.Z., Shahid, M., Kushwaha, D.P., Duan, Z., Mohammadi, B., Khedher, K.M. and Anh, D.T., 2022. Comparison of machine learning and process-based SWAT model in simulating streamflow in the Upper Indus Basin. Applied water science, 12(8), p.178.
3. Wen, Y., Wan, H., Shang, S. and Rahman, K.U., 2022. A monthly distributed agro-hydrological model for irrigation district in arid region with shallow groundwater table. Journal of Hydrology, 609, p.127746.
4. Rahman, K.U., Hussain, A., Ejaz, N., Shahid, M., Duan, Z., Mohammadi, B., Hoai, P.N., Pham, Q.B., Khedher, K.M. and Anh, D.T., 2022. Evaluating the impact of the environment on depleting groundwater resources: a case study from a semi-arid and arid climatic region. Hydrological Sciences Journal, 67(5), pp.791-805.
5. Polong, F., Pham, Q.B., Anh, D.T., Rahman, K.U., Shahid, M. and Alharbi, R.S., 2023. Evaluation and comparison of four satellite-based precipitation products over the upper Tana River Basin. International Journal of Environmental Science and Technology, 20(1), pp.843-858.
6. Mohammadi, B., Moazenzadeh, R., Pham, Q.B., Al-Ansari, N., Rahman, K.U., Anh, D.T. and Duan, Z., 2022. Application of ERA-Interim, empirical models, and an artificial intelligence-based model for estimating daily solar radiation. Ain Shams Engineering Journal, 13(1), p.101498.
2021:
1. Wan, H., Li, J., Shang, S. and Rahman, K.U., 2021. Exploratory factor analysis-based co-kriging method for spatial interpolation of multi-layered soil particle-size fractions and texture. Journal of Soils and Sediments, 21, pp.3868-3887.
2. Shahid, M., Rahman, K.U., Haider, S., Gabriel, H.F., Khan, A.J., Pham, Q.B., Pande, C.B., Linh, N.T.T. and Anh, D.T., 2021. Quantitative assessment of regional land use and climate change impact on runoff across Gilgit watershed. Environmental Earth Sciences, 80, pp.1-18.
3. Shahid, M., Rahman, K.U., Haider, S., Gabriel, H.F., Khan, A.J., Pham, Q.B., Mohammadi, B., Linh, N.T.T. and Anh, D.T., 2021. Assessing the potential and hydrological usefulness of the CHIRPS precipitation dataset over a complex topography in Pakistan. Hydrological Sciences Journal, 66(11), pp.1664-1684.
4. Li, J., Shang, S., Jiang, H., Song, J., Rahman, K.U. and Adeloye, A.J., 2021. Simulation-based optimization for spatiotemporal allocation of irrigation water in arid region. Agricultural Water Management, 254, p.106952.
5. Linh, N.T.T., Ruigar, H., Golian, S., Bawoke, G.T., Gupta, V., Rahman, K.U., Sankaran, A. and Pham, Q.B., 2021. Flood prediction based on climatic signals using wavelet neural network. Acta Geophysica, 69(4), pp.1413-1426.
6. Rahman, K.U., Shang, S. and Zohaib, M., 2021. Assessment of merged satellite precipitation datasets in monitoring meteorological drought over Pakistan. Remote Sensing, 13(9), p.1662.
7. Elkhrachy, I., Pham, Q.B., Costache, R., Mohajane, M., Rahman, K.U., Shahabi, H., Linh, N.T.T. and Anh, D.T., 2021. Sentinel‐1 remote sensing data and Hydrologic Engineering Centres River Analysis System two‐dimensional integration for flash flood detection and modelling in New Cairo City, Egypt. Journal of Flood Risk Management, 14(2), p.e12692.
8. Shahid, M. and Rahman, K.U., 2021. Identifying the annual and seasonal trends of hydrological and climatic variables in the Indus Basin Pakistan. Asia-Pacific Journal of Atmospheric Sciences, 57, pp.191-205.
9. Balkhair, K.S. and Rahman, K.U., 2021. Development and assessment of rainwater harvesting suitability map using analytical hierarchy process, GIS and RS techniques. Geocarto International, 36(4), pp.421-448.
2020:
1. Rahman, K.U. and Shang, S., 2020. A regional blended precipitation dataset over Pakistan based on regional selection of blending satellite precipitation datasets and the dynamic weighted average least squares algorithm. Remote Sensing, 12(24), p.4009.
2. Rahman, K.U., Shang, S., Shahid, M., Wen, Y. and Khan, A.J., 2020. Development of a novel weighted average least squares-based ensemble multi-satellite precipitation dataset and its comprehensive evaluation over Pakistan. Atmospheric Research, 246, p.105133.
3. Guan, Y., Mohammadi, B., Pham, Q.B., Adarsh, S., Balkhair, K.S., Rahman, K.U., Linh, N.T.T. and Tri, D.Q., 2020. A novel approach for predicting daily pan evaporation in the coastal regions of Iran using support vector regression coupled with krill herd algorithm model. Theoretical and Applied Climatology, 142, pp.349-367.
4. Rahman, K.U., Shang, S., Shahid, M. and Wen, Y., 2020. Hydrological evaluation of merged satellite precipitation datasets for streamflow simulation using SWAT: a case study of Potohar Plateau, Pakistan. Journal of Hydrology, 587, p.125040.
5. Wen, Y., Shang, S., Rahman, K.U., Xia, Y. and Ren, D., 2020. A semi-distributed drainage model for monthly drainage water and salinity simulation in a large irrigation district in arid region. Agricultural Water Management, 230, p.105962.
6. Rahman, K.U., Shang, S., Shahid, M., Wen, Y. and Khan, Z., 2020. Application of a dynamic clustered bayesian model averaging (DCBA) algorithm for merging multisatellite precipitation products over Pakistan. Journal of Hydrometeorology, 21(1), pp.17-37.
2019:
1. Rahman, K.U., Shang, S., Shahid, M. and Wen, Y., 2019. An appraisal of dynamic bayesian model averaging-based merged multi-satellite precipitation datasets over complex topography and the diverse climate of Pakistan. Remote Sensing, 12(1), p.10.
2. Rahman, K.U., Shang, S., Shahid, M. and Wen, Y., 2019. Performance assessment of SM2RAIN-CCI and SM2RAIN-ASCAT precipitation products over Pakistan. Remote Sensing, 11(17), p.2040.
3. Wen, Y., Shang, S. and Rahman, K.U., 2019. Pre-constrained machine learning method for multi-year mapping of three major crops in a large irrigation district. Remote Sensing, 11(3), p.242.
2018:
1. Rahman, K.U., Shang, S., Shahid, M. and Li, J., 2018. Developing an ensemble precipitation algorithm from satellite products and its topographical and seasonal evaluations over Pakistan. Remote Sensing, 10(11), p.1835.
2017:
1. Balkhair, K.S. and Rahman, K.U., 2017. Sustainable and economical small-scale and low-head hydropower generation: A promising alternative potential solution for energy generation at local and regional scale. Applied Energy, 188, pp.378-391.
2. Rahman, K.U.*, Balkhair, K.S., Almazroui, M. and Masood, A., 2017. Sub-catchments flow losses computation using Muskingum–Cunge routing method and HEC-HMS GIS based techniques, case study of Wadi Al-Lith, Saudi Arabia. Modeling Earth Systems and Environment, 3, pp.1-9.
招生信息：
歡迎對遙感🌪、水文水資源和水利工程感興趣的學生申請攻讀碩士和博士學位。請隨時與我聯系🧑🍳！
聯系方式：
地址🌥：山東省濟南市歷下區經十路17922號，摩臣2平台圖東樓 410 室
郵箱🥩：khalil_rahman@sdu.edu.cn; engr.khalil0598@gmail.com
Dr. Khalil Ur Rahman
BEng, MS, PhD
➢ Associate Professor in Hydraulic Engineering.
Research Area: Hydrology and Water Resources, Remote Sensing, Climate Change, Drought, and GRACE applications etc.
Email: khalil_rahman@sdu.edu.cn; engr.khalil0598@gmail.com
Education:
2017–2021, Tsinghua University, China, PhD.
Major in Hydraulic Engineering.
2015–2017, King Abdulaziz University, Saudi Arabia, MS.
Major in Hydrology and Water Resources Management.
2009–2013, University of Engineering and Technology Peshawar, Pakistan, BS.
Major in Hydrology and Water Resources.
Professional Experience:
2024-02–Continued: Shandong University, Associate Professor.
2021-11–2023-11: Tsinghua University, Postdoctoral Fellow (Shuimu Scholar).
Research Interests:
1. Hydrology and Water Resources:
a. Hydrological Modeling (both surface water and groundwater).
b. Unsaturated Zone Modeling.
c. Rainwater Harvesting and its impact on water resources.
d. Applications of machine learning and statistical techniques in hydrology and water resources management.
2. Remote Sensing applications
a. Evaluation of remote sensing techniques in hydrology and water resources.
b. Development and evaluation of merged satellite precipitation datasets.
c. Google Earth Engine applications.
d. Land use impact assessment.
3. Climate change
a. Climate change and impact assessment on water resources.
b. Downscaling and evaluation of climate models.
4. Drought
a. Drought characterization including drought estimation and drought propagation.
b. Development of drought indices and their validation at local scale.
c. Quantifying the contributions of climate change and land use variation to drought severity.
5. GRACE modeling
a. Total water storage change assessment using GRACE satellite.
b. Spatial and temporal downscaling of GRACE satellite data.
c. Application of GRACE in monitoring real-time fluctuations in groundwater table.
Research Projects:
2023-01 to 2023-12 (Principal Investigator): Application of GRACE in monitoring real-time fluctuations in groundwater table across data-scarce arid climatic region, funded by the National Natural Science Foundation of China (NSFC) under Research Fund for International Young Scientist (RFIS-I) grant (200,000 Yuan).
2023-01 to 2023-12 (Principal Investigator): Development and evaluation of a robust VHI by optimizing the weights of VCI and TCI under severe climate and land use changes, funded by the China Postdoctoral Science Foundation (80,000 Yuan).
2023-01–Continued (Participant): Remote sensing-based retrieval and analysis of the response of topsoil water and salt regime in Spring to autumn/winter irrigation in previous year for irrigation district of arid region, funded by the National Natural Science Foundation of China (NSFC).
2021-01–Continued (Participant): Economic and environmental implications of Water harvesting practices under changing climate and land use scenarios across Pakistan, funded by the Higher Education Commission of Pakistan under CPEC-CRG research grant.
Professional Membership:
➢ International Glaciological Society (IGS)
➢ Young Hydrologist Society (YHS)
➢ Pakistan Engineering Council (PEC)
➢ International Association for Engineering Geology and the Environment (IAEG)
➢ Founder of the HydroSensing community (www.hydrosensing4u.com).
Research Publications:
2024:
1. Rahman, K.U., Ejaz, N., Shang, S.*, Balkhair, K.S., Alghamdi, K.M., Zaman, K., Khan, M.A. and Hussain, A., 2024. A robust integrated agricultural drought index under climate and land use variations at the local scale in Pakistan. Agricultural Water Management, 295, p.108748.
2. Ejaz, N., Khan, A.H., Shahid, M., Zaman, K., Balkhair, K.S., Alghamdi, K.M., Rahman, K.U.* and Shang, S., 2024. Superiority of Dynamic Weights against Fixed Weights in Merging Multi-Satellite Precipitation Datasets over Pakistan. Water, 16(4), p.597.
3. Rahman, K.U., Ejaz, N., Saleem, M.W., Mao, D., Balkhair, K.S., Khan, K.U.J., and Shang, S.*, 2024. Global Assessment of novel and robust Vegetation Health Indices: Bridging Climate Change and Land Use variations using PCA-weighted drought framework. Remote Sensing of Environment (Under Review).
4. Jing, L., Chen, C., Xinmin, M., Shiliang, L., and Rahman, K.U., Mao, D., 2024. Utilizing the electrical resistivity tomography to map contamination in a quarry. Journal of Environmental Management (Under Review).
5. Khan, A.H., Ejaz, N., Ali, M.Z., Rahman, K.U.*, Jadoon, K.Z., and Shang, S., 2024. Unraveling Groundwater Dynamics in The Depleted Aquifer of Indus Basin Using GRACE Satellite and In-Situ Observations. Science of the Total Environment (Under Review).
6. Masud, T., Khan, A., Khan, M., Ajmal, M., and Rahman, K.U.*, 2024. Impact of Climate Change on Streamflow Projections Over Chenab River 2 Basin Under CMIP6 Scenarios. Journal of Hydrology: Regional Studies (Under Review).
7. Shahid, M., Waseem, M., Rahman, K.U.*, Haider, S., and Gabriel, H.F., 2024. An Innovative conceptual framework to identify the potential sites for rainwater harvesting in arid regions. Applied Water Science (Under Review).
8. Rahman, K.U., Shang, S., Balkhair, K.S., Gabriel, H.F., Jadoon, K.Z., and Zaman, K., 2024. Catchment scale assessment of drought impact on environmental flow in the Indus Basin, Pakistan. Natural Hazards and Earth System Sciences (Under Review).
2023:
1. Qian, X., Qi, H., Shang, S., Wan, H., Rahman, K.U. and Wang, R., 2023. Deep Learning-based Near-real-time Monitoring of Autumn Irrigation Extent at Sub-pixel Scale in a large Irrigation District. Agricultural Water Management, 284, p.108335.
2. Ashraf, M.S., Shahid, M., Waseem, M., Azam, M. and Rahman, K.U.*, 2023. Assessment of Variability in Hydrological Droughts Using the Improved Innovative Trend Analysis Method. Sustainability, 15(11), p.9065.
3. Zahran, H., Ali, M.Z., Jadoon, K.Z., Yousafzai, H.U.K., Rahman, K.U.* and Sheikh, N.A., 2023. Impact of Urbanization on Groundwater and Surface Temperature Changes: A Case Study of Lahore City. Sustainability, 15(8), p.6864.
4. Rahman, K.U., Shang, S., Balkhair, K. and Nusrat, A., 2023. Catchment-Scale Drought Propagation Assessment in the Indus Basin of Pakistan Using a Combined Approach of Principal Components and Wavelet Analyses. Journal of Hydrometeorology, 24(4), pp.601-624.
5. Ejaz, N., Bahrawi, J., Alghamdi, K.M., Rahman, K.U. and Shang, S., 2023. Drought Monitoring Using Landsat Derived Indices and Google Earth Engine Platform: A Case Study from Al-Lith Watershed, Kingdom of Saudi Arabia. Remote Sensing, 15(4), p.984.
6. Ejaz, N., Elhag, M., Bahrawi, J., Zhang, L., Gabriel, H.F. and Rahman, K.U.*, 2023. Soil Erosion Modelling and Accumulation Using RUSLE and Remote Sensing Techniques: Case Study Wadi Baysh, Kingdom of Saudi Arabia. Sustainability, 15(4), p.3218.
7. Rahman, K.U., Hussain, A., Ejaz, N., Shang, S., Balkhair, K.S., Khan, K.U.J., Khan, M.A. and Rehman, N.U., 2023. Analysis of production and economic losses of cash crops under variable drought: A case study from Punjab province of Pakistan. International Journal of Disaster Risk Reduction, 85, p.103507.
8. Hussain, A., Jadoon, K.Z., Rahman, K.U., Shang, S., Shahid, M., Ejaz, N. and Khan, H., 2023. Analyzing the impact of drought on agriculture: evidence from Pakistan using standardized precipitation evapotranspiration index. Natural Hazards, 115(1), pp.389-408.
2022:
1. Hussain, A., Rahman, K.U., Shahid, M., Haider, S., Pham, Q.B., Linh, N.T.T. and Sammen, S.S., 2022. Investigating feasible sites for multi-purpose small dams in Swat District of Khyber Pakhtunkhwa Province, Pakistan: socioeconomic and environmental considerations. Environment, Development and Sustainability, pp.1-24.
2. Rahman, K.U., Pham, Q.B., Jadoon, K.Z., Shahid, M., Kushwaha, D.P., Duan, Z., Mohammadi, B., Khedher, K.M. and Anh, D.T., 2022. Comparison of machine learning and process-based SWAT model in simulating streamflow in the Upper Indus Basin. Applied water science, 12(8), p.178.
3. Wen, Y., Wan, H., Shang, S. and Rahman, K.U., 2022. A monthly distributed agro-hydrological model for irrigation district in arid region with shallow groundwater table. Journal of Hydrology, 609, p.127746.
4. Rahman, K.U., Hussain, A., Ejaz, N., Shahid, M., Duan, Z., Mohammadi, B., Hoai, P.N., Pham, Q.B., Khedher, K.M. and Anh, D.T., 2022. Evaluating the impact of the environment on depleting groundwater resources: a case study from a semi-arid and arid climatic region. Hydrological Sciences Journal, 67(5), pp.791-805.
5. Polong, F., Pham, Q.B., Anh, D.T., Rahman, K.U., Shahid, M. and Alharbi, R.S., 2023. Evaluation and comparison of four satellite-based precipitation products over the upper Tana River Basin. International Journal of Environmental Science and Technology, 20(1), pp.843-858.
6. Mohammadi, B., Moazenzadeh, R., Pham, Q.B., Al-Ansari, N., Rahman, K.U., Anh, D.T. and Duan, Z., 2022. Application of ERA-Interim, empirical models, and an artificial intelligence-based model for estimating daily solar radiation. Ain Shams Engineering Journal, 13(1), p.101498.
2021:
1. Wan, H., Li, J., Shang, S. and Rahman, K.U., 2021. Exploratory factor analysis-based co-kriging method for spatial interpolation of multi-layered soil particle-size fractions and texture. Journal of Soils and Sediments, 21, pp.3868-3887.
2. Shahid, M., Rahman, K.U., Haider, S., Gabriel, H.F., Khan, A.J., Pham, Q.B., Pande, C.B., Linh, N.T.T. and Anh, D.T., 2021. Quantitative assessment of regional land use and climate change impact on runoff across Gilgit watershed. Environmental Earth Sciences, 80, pp.1-18.
3. Shahid, M., Rahman, K.U., Haider, S., Gabriel, H.F., Khan, A.J., Pham, Q.B., Mohammadi, B., Linh, N.T.T. and Anh, D.T., 2021. Assessing the potential and hydrological usefulness of the CHIRPS precipitation dataset over a complex topography in Pakistan. Hydrological Sciences Journal, 66(11), pp.1664-1684.
4. Li, J., Shang, S., Jiang, H., Song, J., Rahman, K.U. and Adeloye, A.J., 2021. Simulation-based optimization for spatiotemporal allocation of irrigation water in arid region. Agricultural Water Management, 254, p.106952.
5. Linh, N.T.T., Ruigar, H., Golian, S., Bawoke, G.T., Gupta, V., Rahman, K.U., Sankaran, A. and Pham, Q.B., 2021. Flood prediction based on climatic signals using wavelet neural network. Acta Geophysica, 69(4), pp.1413-1426.
6. Rahman, K.U., Shang, S. and Zohaib, M., 2021. Assessment of merged satellite precipitation datasets in monitoring meteorological drought over Pakistan. Remote Sensing, 13(9), p.1662.
7. Elkhrachy, I., Pham, Q.B., Costache, R., Mohajane, M., Rahman, K.U., Shahabi, H., Linh, N.T.T. and Anh, D.T., 2021. Sentinel‐1 remote sensing data and Hydrologic Engineering Centres River Analysis System two‐dimensional integration for flash flood detection and modelling in New Cairo City, Egypt. Journal of Flood Risk Management, 14(2), p.e12692.
8. Shahid, M. and Rahman, K.U., 2021. Identifying the annual and seasonal trends of hydrological and climatic variables in the Indus Basin Pakistan. Asia-Pacific Journal of Atmospheric Sciences, 57, pp.191-205.
9. Balkhair, K.S. and Rahman, K.U., 2021. Development and assessment of rainwater harvesting suitability map using analytical hierarchy process, GIS and RS techniques. Geocarto International, 36(4), pp.421-448.
2020:
1. Rahman, K.U. and Shang, S., 2020. A regional blended precipitation dataset over Pakistan based on regional selection of blending satellite precipitation datasets and the dynamic weighted average least squares algorithm. Remote Sensing, 12(24), p.4009.
2. Rahman, K.U., Shang, S., Shahid, M., Wen, Y. and Khan, A.J., 2020. Development of a novel weighted average least squares-based ensemble multi-satellite precipitation dataset and its comprehensive evaluation over Pakistan. Atmospheric Research, 246, p.105133.
3. Guan, Y., Mohammadi, B., Pham, Q.B., Adarsh, S., Balkhair, K.S., Rahman, K.U., Linh, N.T.T. and Tri, D.Q., 2020. A novel approach for predicting daily pan evaporation in the coastal regions of Iran using support vector regression coupled with krill herd algorithm model. Theoretical and Applied Climatology, 142, pp.349-367.
4. Rahman, K.U., Shang, S., Shahid, M. and Wen, Y., 2020. Hydrological evaluation of merged satellite precipitation datasets for streamflow simulation using SWAT: a case study of Potohar Plateau, Pakistan. Journal of Hydrology, 587, p.125040.
5. Wen, Y., Shang, S., Rahman, K.U., Xia, Y. and Ren, D., 2020. A semi-distributed drainage model for monthly drainage water and salinity simulation in a large irrigation district in arid region. Agricultural Water Management, 230, p.105962.
6. Rahman, K.U., Shang, S., Shahid, M., Wen, Y. and Khan, Z., 2020. Application of a dynamic clustered bayesian model averaging (DCBA) algorithm for merging multisatellite precipitation products over Pakistan. Journal of Hydrometeorology, 21(1), pp.17-37.
2019:
1. Rahman, K.U., Shang, S., Shahid, M. and Wen, Y., 2019. An appraisal of dynamic bayesian model averaging-based merged multi-satellite precipitation datasets over complex topography and the diverse climate of Pakistan. Remote Sensing, 12(1), p.10.
2. Rahman, K.U., Shang, S., Shahid, M. and Wen, Y., 2019. Performance assessment of SM2RAIN-CCI and SM2RAIN-ASCAT precipitation products over Pakistan. Remote Sensing, 11(17), p.2040.
3. Wen, Y., Shang, S. and Rahman, K.U., 2019. Pre-constrained machine learning method for multi-year mapping of three major crops in a large irrigation district. Remote Sensing, 11(3), p.242.
2018:
1. Rahman, K.U., Shang, S., Shahid, M. and Li, J., 2018. Developing an ensemble precipitation algorithm from satellite products and its topographical and seasonal evaluations over Pakistan. Remote Sensing, 10(11), p.1835.
2017:
1. Balkhair, K.S. and Rahman, K.U., 2017. Sustainable and economical small-scale and low-head hydropower generation: A promising alternative potential solution for energy generation at local and regional scale. Applied Energy, 188, pp.378-391.
2. Rahman, K.U.*, Balkhair, K.S., Almazroui, M. and Masood, A., 2017. Sub-catchments flow losses computation using Muskingum–Cunge routing method and HEC-HMS GIS based techniques, case study of Wadi Al-Lith, Saudi Arabia. Modeling Earth Systems and Environment, 3, pp.1-9.
Recruitment Information:
Students having research interests in remote sensing, hydrology and water resources, and hydraulic engineering are welcome to apply for Master and PhD studies. Please feel free to contact me!
Contacts:
Address: Office 410, School of Civil Engineering, Shandong University, 17922 Jingshi Road, Jinan 250061, China.
Email: khalil_rahman@sdu.edu.cn; engr.khalil0598@gmail.com
