Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Ali Saremi"'
Publikováno v:
Applied Water Science, Vol 14, Iss 9, Pp 1-16 (2024)
Abstract Examining the condition of groundwater resources and the impact of droughts is valuable for effective water resources management. Today, machine learning (ML) models are recognized as one of the useful tools in time series predictions. In th
Externí odkaz:
https://doaj.org/article/f89390a3bcf64406a93308e80f2a3ef2
Publikováno v:
Applied Water Science, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Water resource management and crop growth control require the calculation of reference evapotranspiration (ET0), but meteorological data can often be incomplete, necessitating models with minimal inputs. This study was conducted in Iran’s
Externí odkaz:
https://doaj.org/article/7180b9d8c4f14951b31a70b9f6f4745c
Publikováno v:
Aqua, Vol 72, Iss 11, Pp 1969-1986 (2023)
Mashhad's Kashafrood basin has been affected by land use changes, urbanization, and the development of agricultural water resources. This basin is located in the Razavi Khorasan province, Mashhad city. This research analyzes the impact of land use ch
Externí odkaz:
https://doaj.org/article/bde01922edbe49159a2505c54b3c2d62
Publikováno v:
Soil and Water Research, Vol 18, Iss 1, Pp 55-65 (2023)
This study aimed to control land subsidence by improving the groundwater balance in the Varamin plain using the Groundwater Modelling System software and a multi-criteria decision model. For this purpose, aquifer level quantification and subsidence r
Externí odkaz:
https://doaj.org/article/6fff2f9b317e4228bc453496fbd41756
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract Assessment of streamflow variations under the influence of climate change and human activity is crucial for sustainable water resource management, especially in semiarid areas. In this study, we first used the Hydrograph Separation Program t
Externí odkaz:
https://doaj.org/article/6a67662557b74abd9a8e92784f260d2e
Publikováno v:
Ain Shams Engineering Journal, Vol 14, Iss 2, Pp 101847- (2023)
A multi-objective modeling platform consisting of the simulator-optimizer model_1th and optimizer model_2th was developed in this study. HEC-HMS was used for flood routing and artificial recharge and the multi-objective genetic algorithm(NSGA-II) was
Externí odkaz:
https://doaj.org/article/3dbd80142a7040179cfc0f21fda3ca2a
Autor:
Marziyeh Esmaeilzadeh, Hosein Babazadeh, Hormozd Naghavi, Ali Saremi, Gholamhosein Shiresmaeili
Publikováno v:
Ikufīziyuluzhī-i Giyāhān-i Zirā̒ī, Vol 15, Iss 1 (57) بهار, Pp 91-108 (2021)
The research was carried out to evaluate the response of safflower (Carthamus tinctorius L.) to salinity, drought and combined salinity- drought stresses at its vegetative stage and share of their effects on reduction of yield, yield components and p
Externí odkaz:
https://doaj.org/article/8fc44815c5984c7d9c8860e567eebf46
Publikováno v:
Revista Ingeniería UC, Vol 27, Iss 2, Pp 175-188 (2020)
The main purpose was to reduce the evacuation of aquifers in the Qazvin plain and then to compensate for the deficit of the cumulative reservoir and remove the annual reservoir deficit, no reduction in the revenue of farmers, and similarly to prevent
Externí odkaz:
https://doaj.org/article/5887898d4c904831916be67119650a56
Publikováno v:
مهندسی منابع آب, Vol 12, Iss 40, Pp 1-12 (2019)
In this paper the daily runoff of Ravansar Sanjabi basin (1260 Km^2), in Kermanshah Province of Iran is simulated through SRM hydrological model. The Snow Cover Area variable which a main and necessary variable in SRM model is calculated from MOD10A2
Externí odkaz:
https://doaj.org/article/067224b4bfa34aedb8c961a0ae9d3456
Publikováno v:
Theoretical and Applied Climatology. 152:337-345
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9268268cf1dd73a76bdcdf6a04f504c5
https://doi.org/10.1007/s00704-023-04391-7
https://doi.org/10.1007/s00704-023-04391-7