Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Sajal Kumar Adhikary"'
Autor:
Hrithik Nath, Sajal Kumar Adhikary, Saleh Alsulamy, Abdulla Al Kafy, Zullyadini A. Rahaman, Srabanti Roy, Mohammad Iqbal Hossain, Abdulla Al Mamun
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e40005- (2024)
Urban noise pollution poses significant challenges to public health and environmental sustainability, particularly in rapidly developing tourist destinations. Noise pollution and associated annoyance level in five major intersections of Cox's Bazar C
Externí odkaz:
https://doaj.org/article/f8d6a4425e084bb8bbd0681c6024e6ae
Autor:
Md. Zahed Hossain, Sajal Kumar Adhikary, Hrithik Nath, Abdulla Al Kafy, Hamad Ahmed Altuwaijri, Muhammad Tauhidur Rahman
Publikováno v:
Water, Vol 16, Iss 20, p 2918 (2024)
Groundwater depletion in Bangladesh’s Barind tract poses significant challenges for sustainable water management. This study aims to delineate groundwater recharge potential zones in this region using an integrated geospatial and Analytical Hierarc
Externí odkaz:
https://doaj.org/article/13deecc0f08848aeaafab50e694a87d5
Publikováno v:
6TH INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING FOR SUSTAINABLE DEVELOPMENT (ICCESD 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54422de8d50b74434096e84336dc9419
https://doi.org/10.1063/5.0129774
https://doi.org/10.1063/5.0129774
Autor:
Md. Masud Rana, Sajal Kumar Adhikary
Publikováno v:
6TH INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING FOR SUSTAINABLE DEVELOPMENT (ICCESD 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa99b7bd678352681a1d87c13000177b
https://doi.org/10.1063/5.0129780
https://doi.org/10.1063/5.0129780
Publikováno v:
2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cafaf3ce9453f9a192ea6f54df40e54
https://doi.org/10.1109/iicaiet55139.2022.9936784
https://doi.org/10.1109/iicaiet55139.2022.9936784
Autor:
Abdus Samad Azad, Rajalingam Sokkalingam, Hanita Daud, Sajal Kumar Adhikary, Hifsa Khurshid, Siti Nur Athirah Mazlan, Muhammad Babar Ali Rabbani
Publikováno v:
Sustainability, Vol 14, Iss 1843, p 1843 (2022)
Sustainability; Volume 14; Issue 3; Pages: 1843
Sustainability; Volume 14; Issue 3; Pages: 1843
Reservoir water level (RWL) prediction has become a challenging task due to spatio-temporal changes in climatic conditions and complicated physical process. The Red Hills Reservoir (RHR) is an important source of drinking and irrigation water supply
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53e6625561ce1276e71aefe7ce29045d
https://doi.org/10.3390/su14031843
https://doi.org/10.3390/su14031843
Publikováno v:
Hydrology Research. 49:1559-1577
Accurate streamflow forecasting is of great importance for the effective management of water resources systems. In this study, an improved streamflow forecasting approach using the optimal rain gauge network-based input to artificial neural network (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c9730f692b5068baa511f7753e4441e
https://doi.org/10.2166/nh.2017.108
https://doi.org/10.2166/nh.2017.108
Publikováno v:
Hydrological Processes. 31:2143-2161
Rainfall data in continuous space provide an essential input for most hydrological and water resources planning studies. Spatial distribution of rainfall is usually estimated using ground-based point rainfall data from sparsely positioned rain-gauge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99273160598e9e06f8bf39a4d82a364b
https://doi.org/10.1002/hyp.11163
https://doi.org/10.1002/hyp.11163
Publikováno v:
Journal of Hydrologic Engineering. 21
Rainfall data provide an essential input for most hydrologic analyses and designs for effective management of water resource systems. However, in practice, missing values often occur in rainfall data that can ultimately influence the results of hydro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39fba63df3d9815686c5232ac8b736a6
https://doi.org/10.1061/(asce)he.1943-5584.0001300
https://doi.org/10.1061/(asce)he.1943-5584.0001300
Publikováno v:
International Journal of Applied Science and Engineering Research. 1:488-498
Water supply in the Khulna City Corporation (KCC) is adversely affected by the plentiful presence of salinity in the groundwater (GW) as well as surface water (SW) sources. Other water quality parameters, which are also present in GW that has a direc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abfd41c270bca16bacfa8c6227a9dc4b
https://doi.org/10.6088/ijaser.0020101050
https://doi.org/10.6088/ijaser.0020101050