Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Wan Zurina Wan Jaafar"'
Publikováno v:
Applied Water Science, Vol 10, Iss 7, Pp 1-11 (2020)
Abstract This study is aimed to predict potential soil erosion in the Langat River Basin, Malaysia by integrating Remote Sensing (RS) and Geographical Information System (GIS) with the Revised Universal Soil Loss Equation (RUSLE) model. In RUSLE mode
Externí odkaz:
https://doaj.org/article/d2db1a04c2f945088a2dd594bc0154b8
Autor:
Eugene Zhen Xiang Soo, Wan Zurina Wan Jaafar, Sai Hin Lai, Faridah Othman, Ahmed Elshafie, Tanvir Islam, Prashant Srivastava, Hazlina Salehan Othman Hadi
Publikováno v:
Hydrology Research, Vol 51, Iss 1, Pp 105-126 (2020)
Even though satellite precipitation products have received an increasing amount of attention in hydrology and meteorology, their estimations are prone to bias. This study investigates the three approaches of bias correction, i.e., linear scaling (LS)
Externí odkaz:
https://doaj.org/article/8294a6235b184c20b0d045c9dfc42ace
Autor:
Prashant K. Srivastava, Rajani Kumar Pradhan, George P. Petropoulos, Varsha Pandey, Manika Gupta, Aradhana Yaduvanshi, Wan Zurina Wan Jaafar, Rajesh Kumar Mall, Atul Kumar Sahai
Publikováno v:
Water, Vol 13, Iss 12, p 1695 (2021)
Analysis of spatial and temporal changes of long-term precipitation and extreme precipitation distribution at a local scale is very important for the prevention and mitigation of water-related disasters. In the present study, we have analyzed the lon
Externí odkaz:
https://doaj.org/article/6ea2ec8a71d044648e13aa6f3a239fb6
Publikováno v:
International Journal of Climatology. 42:7914-7937
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cf639823db5d42ce25a4c912e5986a6
https://doi.org/10.1002/joc.7684
https://doi.org/10.1002/joc.7684
Publikováno v:
Proceedings of International Technical Postgraduate Conference 2022.
Droughts are constantly threatening the global water availability and food securities worldwide. This study aims to evaluate the short- and long-term (1-, 6- and 12-month) drought conditions in Peninsular Malaysia during 1989-2018 using Standardized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73fb47208ead2f533e9b9de7ab9b7c07
https://doi.org/10.21467/proceedings.141.1
https://doi.org/10.21467/proceedings.141.1
Publikováno v:
Journal of Hydrologic Engineering. 27
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1bc54c6813f809c128e262b25a2b45c
https://doi.org/10.1061/(asce)he.1943-5584.0002190
https://doi.org/10.1061/(asce)he.1943-5584.0002190
Publikováno v:
Water Resources Management. 34:2371-2387
The core objective of this study is to carry out rainfall forecasting over the Langat River Basin through the integration of wavelet transform (WT) and convolutional neural network (CNN). The proposed method involves using CNN for feature extraction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b29ca0c98511e53c01edca90bd67045
https://doi.org/10.1007/s11269-020-02554-z
https://doi.org/10.1007/s11269-020-02554-z
Autor:
Prashant K. Srivastava, Faridah Othman, Ahmed El-Shafie, Sai Hin Lai, Tanvir Islam, Wan Zurina Wan Jaafar, Eugene Zhen Xiang Soo, Hazlina Salehan Othman Hadi
Publikováno v:
Hydrology Research, Vol 51, Iss 1, Pp 105-126 (2020)
Even though satellite precipitation products have received an increasing amount of attention in hydrology and meteorology, their estimations are prone to bias. This study investigates the three approaches of bias correction, i.e., linear scaling (LS)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cfa55e470806f8cd334969c0f0a8be9
http://hr.iwaponline.com/content/51/1/105
http://hr.iwaponline.com/content/51/1/105
Autor:
Ahmed El-Shafie, Sai Hin Lai, Hazlina Salehan Othman Hadi, Prashant K. Srivastava, Tanvir Islam, Wan Zurina Wan Jaafar, Faridah Othman, Eugene Zhen Xiang Soo
Publikováno v:
Journal of Water and Climate Change. 11:322-342
Although satellite precipitation products (SPPs) increasingly provide an alternative means to ground-based observations, these estimations exhibit large systematic and random errors which may cause large uncertainties in hydrologic modeling. Three ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0b25fc8ecf01f7ad97b31e17aebca9d
https://doi.org/10.2166/wcc.2020.180
https://doi.org/10.2166/wcc.2020.180
Publikováno v:
Soft Computing. 24:9639-9649
Wall slip can be defined as a phenomenon in the flow of suspensions due to the movement of particles away from the wall boundary, leaving a thin liquid rich layer adjacent to the wall. It should be taken into consideration in material designing, manu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c52062d0128a5ba084146c457933a0b5
https://doi.org/10.1007/s00500-019-04475-5
https://doi.org/10.1007/s00500-019-04475-5