Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Azhar Inam"'
Autor:
Maira Naeem, Hafiz Umar Farid, Muhammad Arbaz Madni, Raffaele Albano, Muhammad Azhar Inam, Muhammad Shoaib, Tehmena Rashid, Aqsa Dilshad, Akhlaq Ahmad
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 9, p 317 (2024)
The quality and level of groundwater tables have rapidly declined because of intensive pumping in Punjab (Pakistan). For sustainable groundwater supplies, there is a need for better management practices. So, the identification of potential groundwate
Externí odkaz:
https://doaj.org/article/fa1f20cc65e748ddb3b545b3bcc28527
Autor:
Hamza Salahudin, Muhammad Shoaib, Raffaele Albano, Muhammad Azhar Inam Baig, Muhammad Hammad, Ali Raza, Alamgir Akhtar, Muhammad Usman Ali
Publikováno v:
Hydrology, Vol 10, Iss 8, p 169 (2023)
To maximize crop production, reference evapotranspiration (ET0) measurement is crucial for managing water resources and planning crop water needs. The FAO-PM56 method is recommended globally for estimating ET0 and evaluating alternative methods due t
Externí odkaz:
https://doaj.org/article/dc90a71bc9e048a9972e52f64e5b4db8
Autor:
Muhammad Tariq Khan, Muhammad Shoaib, Raffaele Albano, Muhammad Azhar Inam, Hamza Salahudin, Muhammad Hammad, Shakil Ahmad, Muhammad Usman Ali, Sarfraz Hashim, Muhammad Kaleem Ullah
Publikováno v:
Atmosphere, Vol 14, Iss 3, p 452 (2023)
The science of hydrological modeling has continuously evolved under the influence of rapid advancements in software and hardware technologies. Starting from simple rational formulae for estimating peak discharge and developing into sophisticated univ
Externí odkaz:
https://doaj.org/article/6b9f917b67f040049bf70279ed014c07
Autor:
Zain Syed, Shakil Ahmad, Zakir Hussain Dahri, Muhammad Azmat, Muhammad Shoaib, Azhar Inam, Muhammad Uzair Qamar, Syed Zia Hussain, Sarfraz Ahmad
Publikováno v:
Atmosphere, Vol 13, Iss 2, p 295 (2022)
Biased distribution of hydro-climate stations in high elevations are major obstacles for reliable appraisal of the hydro-climatic regime of the Chitral Basin located in the extreme north of Pakistan. We modeled this regime in the ARC-SWAT hydrologica
Externí odkaz:
https://doaj.org/article/089f492ec6e04c9b9b08d85692bfed21
Publikováno v:
Ecology and Society, Vol 26, Iss 2, p 17 (2021)
In classic resilience thinking, there is an implicit focus on controlling functional variation to maintain system stability. Modern approaches to resilience thinking deal with complex, adaptive system dynamics and true uncertainty; these contemporary
Externí odkaz:
https://doaj.org/article/6d45cd7d284d498f9d6ecc0ab2e7a85c
Autor:
Muhammad Kaleem Ullah, Mudasser Muneer Khan, Muhammad Azhar Inam Baig, Hamza Salahudin, Muhammad Shoaib, Muhammad Hammad
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 35:2213-2235
Accurate forecasting of key hydrological processes, such as rainfall, generally requires the use of auxiliary predictive hydrological variables. Data requirements can be reduced by using artificial intelligence models that are able to successfully ca
Autor:
Steven Jean, Laura Gilbert, Wietske Medema, Xander Keijser, Igor Mayer, Azhar Inam, Jan Adamowski
Publikováno v:
Water, Vol 10, Iss 12, p 1786 (2018)
The inherent complexity of planning at sea, called maritime spatial planning (MSP), requires a planning approach where science (data and evidence) and stakeholders (their engagement and involvement) are integrated throughout the planning process. An
Externí odkaz:
https://doaj.org/article/75f2c4aeceb145728be551e98efffee2
Autor:
Muhammad Asif, Azhar Inam, Jan Adamowski, Muhammad Shoaib, Hisham Tariq, Shakil Ahmad, Mohammad Reza Alizadeh, Aftab Nazeer
Publikováno v:
Ecological Modelling. 476:110192
Akademický článek
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Autor:
Rabeea Noor, Azhar Inam, Syeda Mishal Zahra, Muhammad Shoaib, Rameen Riaz, Aneela Sarwar, Muhammad Asif, Shakil Ahmad
Publikováno v:
Agricultural Water Management. 271:107822