Theo dơi
Rawshan Othman Ali
Rawshan Othman Ali
Department of Civil Engineering, University of Raparin, Kurdistan Region-Iraq
Email được xác minh tại - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Long-term trends and seasonality detection of the observed flow in Yangtze River using Mann-Kendall and Sen’s innovative trend method
R Ali, A Kuriqi, S Abubaker, O Kisi
Water 11 (9), 1855, 2019
Hydrologic alteration at the upper and middle part of the Yangtze river, China: towards sustainable water resource management under increasing water exploitation
R Ali, A Kuriqi, S Abubaker, O Kisi
Sustainability 11 (19), 5176, 2019
Seasonality shift and streamflow flow variability trends in central India
A Kuriqi, R Ali, QB Pham, J Montenegro Gambini, V Gupta, A Malik, ...
Acta Geophysica 68, 1461-1475, 2020
Human–environment natural disasters interconnection in China: A review
R Ali, A Kuriqi, O Kisi
Climate 8 (4), 48, 2020
Methods to estimate evapotranspiration in humid and subtropical climate conditions
DK Vishwakarma, K Pandey, A Kaur, NL Kushwaha, R Kumar, R Ali, ...
Agricultural Water Management 261, 107378, 2022
Selection of GCMs for the projection of spatial distribution of heat waves in Pakistan
N Khan, S Shahid, K Ahmed, X Wang, R Ali, T Ismail, N Nawaz
Atmospheric Research 233, 104688, 2020
Evaluation of the performance of gridded precipitation products over Balochistan Province, Pakistan
X Wange
Desalination and Water Treatment 1, 14, 2017
Spatio-temporal pattern in the changes in availability and sustainability of water resources in Afghanistan
MN Sediqi, MS Shiru, MS Nashwan, R Ali, S Abubaker, X Wang, K Ahmed, ...
Sustainability 11 (20), 5836, 2019
An integrated statistical-machine learning approach for runoff prediction
AK Singh, P Kumar, R Ali, N Al-Ansari, DK Vishwakarma, KS Kushwaha, ...
Sustainability 14 (13), 8209, 2022
Trend analysis using Mann-Kendall, Sen’s slope estimator test and innovative trend analysis method in Yangtze River basin, China
RO Ali, SR Abubaker
International Journal of Engineering & Technology 8 (2), 110-119, 2019
Modeling of stage-discharge using back propagation ANN-, ANFIS-, and WANN-based computing techniques
R Shukla, P Kumar, DK Vishwakarma, R Ali, R Kumar, A Kuriqi
Theoretical and Applied Climatology, 1-23, 2021
Assessment of land suitability potentials for winter wheat cultivation by using a multi criteria decision Support-Geographic information system (MCDS-GIS) approach in Al …
S Mohammed, K Alsafadi, H Ali, SMN Mousavi, S Kiwan, S Hennawi, ...
Geocarto International 37 (6), 1645-1663, 2022
Estimation of daily stage–discharge relationship by using data-driven techniques of a perennial river, India
M Kumar, A Kumari, DP Kushwaha, P Kumar, A Malik, R Ali, A Kuriqi
Sustainability 12 (19), 7877, 2020
Pre-and post-dam river water temperature alteration prediction using advanced machine learning models
DK Vishwakarma, R Ali, SA Bhat, A Elbeltagi, NL Kushwaha, R Kumar, ...
Environmental Science and Pollution Research 29 (55), 83321-83346, 2022
Application of biochar for improving physical, chemical, and hydrological soil properties: a systematic review
S Ahmad Bhat, A Kuriqi, MUD Dar, O Bhat, SS Sammen, ...
Sustainability 14 (17), 11104, 2022
The superiority of data-driven techniques for estimation of daily pan evaporation
M Kumar, A Kumari, D Kumar, N Al-Ansari, R Ali, R Kumar, A Kumar, ...
Atmosphere 12 (6), 701, 2021
Long term historic changes in the flow of lesser Zab River, Iraq
R Ali, A Ismael, A Heryansyah, N Nawaz
Hydrology 6 (1), 22, 2019
Application of innovative machine learning techniques for long-term rainfall prediction
S Markuna, P Kumar, R Ali, DK Vishwkarma, KS Kushwaha, R Kumar, ...
Pure and Applied Geophysics 180 (1), 335-363, 2023
Influence of surface water bodies on the land surface temperature of Bangladesh
N Khan, S Shahid, ES Chung, S Kim, R Ali
Sustainability 11 (23), 6754, 2019
An integrated statisticalmachine learning approach for runoff prediction. Sustainability 14: 8209
AK Singh, P Kumar, R Ali, N Al-Ansari, DK Vishwakarma, KS Kushwaha, ...
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