Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mahdi Ghamghami"'
Publikováno v:
Modeling Earth Systems and Environment. 8:5467-5478
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5286a2d1ed1f17c0ee56ca6d211d032
https://doi.org/10.1007/s40808-022-01429-z
https://doi.org/10.1007/s40808-022-01429-z
Publikováno v:
Journal of Irrigation and Drainage Engineering. 148
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3236288e123635fc96a910537891c50a
https://doi.org/10.1061/(asce)ir.1943-4774.0001714
https://doi.org/10.1061/(asce)ir.1943-4774.0001714
Determination of Suitable Regions for Cultivation of Three Medicinal Plants under a Changing Climate
Publikováno v:
Environmental Processes. 7:89-108
The use of less vulnerable species to climate change such as medicinal plants can be considered as a coping strategy for adapting to climate change. This paper aims to evaluate the suitability of the arable lands located in the Daryache-Namak basin,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec3a3e95ccc6ae9b279c09a17494f310
https://doi.org/10.1007/s40710-020-00423-w
https://doi.org/10.1007/s40710-020-00423-w
Publikováno v:
Regional Environmental Change. 22
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e10574ed03217f9a9b672b9c7399214
https://doi.org/10.1007/s10113-021-01856-1
https://doi.org/10.1007/s10113-021-01856-1
Autor:
Mahdi Ghamghami, Javad Bazrafshan
This study aimed to evaluate the application of the canonical correlation analysis (CCA) to predict monthly precipitation amounts (predictands) by benefitting from 17 large-scale climate indices (predictors) in Iran. Monthly precipitation data, cover
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0e15c7eb302fa9dd715648dce027792
https://doi.org/10.21203/rs.3.rs-332995/v1
https://doi.org/10.21203/rs.3.rs-332995/v1
Autor:
Javad Bazrafshan, Mahdi Ghamghami
Publikováno v:
Journal of Hydrologic Engineering. 26
Precipitation is one of the most complex weather phenomena; its successful spatiotemporal modeling provides substantial information for designing water management systems. This research aim...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4deea2dce5ea64849c5831edc23a7db6
https://doi.org/10.1061/(asce)he.1943-5584.0002066
https://doi.org/10.1061/(asce)he.1943-5584.0002066
Publikováno v:
International Journal of Plant Production. 13:11-22
Data mining approaches are designed for classification problems in which each observation is a member of one and only one class. In this study, a non-deterministic approach based on C5.0 data mining algorithm has been employed for discriminating the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f9b964c53cf29d69f9d7cddf77a0df8
https://doi.org/10.1007/s42106-018-0030-2
https://doi.org/10.1007/s42106-018-0030-2
Autor:
Parviz Irannejad, Mahdi Ghamghami
Publikováno v:
SN Applied Sciences. 1
Understanding how drought changes have occurred is imperative to enhance the ability of mitigating drought impacts. This consideration encourages carrying out a comprehensive analysis of drought phenomenon in Iran using the standardized precipitation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fdc8fb30d470827dfd35954380e3270
https://doi.org/10.1007/s42452-019-1258-x
https://doi.org/10.1007/s42452-019-1258-x
Publikováno v:
Agricultural and Forest Meteorology. 281:107829
The Crop Progress Percentage (CPP) in a given phenology stage reflects growth status in the crop life cycle. Generally, routine field measurements of this variable are missing, hence various alternative approaches have been proposed for its estimatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8656179f8406429baed4e7822f190171
https://doi.org/10.1016/j.agrformet.2019.107829
https://doi.org/10.1016/j.agrformet.2019.107829