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Ahmed Elbeltagi

Biographic Data

ID1813424
NAMEAhmed Elbeltagi
GIVEN NAMESAhmed
FAMILY NAMEElbeltagi
SIGNATUREELBELTAGI A
AFFILIATIONSMansoura University
ORCID0000-0002-5506-9502
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Evaluating performance indicators of irrigation systems using swarm intelligence methods in Lake Urmia basin, Iran

    Open Access•Hossein Dehghanisanij, Somayeh Emami et al.•ARTICLE•Environment Development and…•2023

  • Bat algorithm optimised extreme learning machine (Bat-ELM)

    Open Access•Salim Heddam, Sungwon Kim et al.•ARTICLE•Geographical Journal•2023•References: 45

    Here, the capability of the Bat algorithm optimised extreme learning machines ELM (Bat-ELM) is demonstrated for river water temperature (Tw) modelling in the Orda River, Poland. Results using the multilayer perceptron neural network (MLPNN), the classification and regression Tree (CART) and the multiple linear regression (MLR) models were presented for comparison. The models were developed according to two scenarios: (1) using air temperature (Ta…

  • Investigating Relationships between Runoff–Erosion Processes and Land Use and Land Cover Using Remote Sensing Multiple Gridded Datasets

    Open Access•Cláudia Adriana Bueno da Fonseca, Nadhir Al‐Ansari et al.•ARTICLE•ISPRS International Journal of…•2022

    Climate variability, land use and land cover changes (LULCC) have a considerable impact on runoff–erosion processes. This study analyzed the relationships between climate variability and spatiotemporal LULCC on runoff–erosion processes in different scenarios of land use and land cover (LULC) for the Almas River basin, located in the Cerrado biome in Brazil. Landsat images from 1991, 2006, and 2017 were used to analyze changes and the LULC scenari…

  • An evapotranspiration deficit-based drought index to detect variability of terrestrial carbon productivity in the Middle East

    Open Access•Karam Alsafadi, Nadhir Al‐Ansari et al.•ARTICLE•Environmental Research Letters•2021

    The primary driver of the land carbon sink is gross primary productivity (GPP), the gross absorption of carbon dioxide (CO 2 ) by plant photosynthesis, which currently accounts for about one-quarter of anthropogenic CO 2 emissions per year. This study aimed to detect the variability of carbon productivity using the standardized evapotranspiration deficit index (SEDI). Sixteen countries in the Middle East (ME) were selected to investigate drought.…

No prominent works on this page.

  • An evapotranspiration deficit-based drought index to detect variability of terrestrial carbon productivity in the Middle East

    Open Access•Karam Alsafadi, Nadhir Al‐Ansari et al.•ARTICLE•Environmental Research Letters•2021

    The primary driver of the land carbon sink is gross primary productivity (GPP), the gross absorption of carbon dioxide (CO 2 ) by plant photosynthesis, which currently accounts for about one-quarter of anthropogenic CO 2 emissions per year. This study aimed to detect the variability of carbon productivity using the standardized evapotranspiration deficit index (SEDI). Sixteen countries in the Middle East (ME) were selected to investigate drought.…

  • Investigating Relationships between Runoff–Erosion Processes and Land Use and Land Cover Using Remote Sensing Multiple Gridded Datasets

    Open Access•Cláudia Adriana Bueno da Fonseca, Nadhir Al‐Ansari et al.•ARTICLE•ISPRS International Journal of…•2022

    Climate variability, land use and land cover changes (LULCC) have a considerable impact on runoff–erosion processes. This study analyzed the relationships between climate variability and spatiotemporal LULCC on runoff–erosion processes in different scenarios of land use and land cover (LULC) for the Almas River basin, located in the Cerrado biome in Brazil. Landsat images from 1991, 2006, and 2017 were used to analyze changes and the LULC scenari…

  • Evaluating performance indicators of irrigation systems using swarm intelligence methods in Lake Urmia basin, Iran

    Open Access•Hossein Dehghanisanij, Somayeh Emami et al.•ARTICLE•Environment Development and…•2023

  • Bat algorithm optimised extreme learning machine (Bat-ELM)

    Open Access•Salim Heddam, Sungwon Kim et al.•ARTICLE•Geographical Journal•2023•References: 45

    Here, the capability of the Bat algorithm optimised extreme learning machines ELM (Bat-ELM) is demonstrated for river water temperature (Tw) modelling in the Orda River, Poland. Results using the multilayer perceptron neural network (MLPNN), the classification and regression Tree (CART) and the multiple linear regression (MLR) models were presented for comparison. The models were developed according to two scenarios: (1) using air temperature (Ta…

Environmental Science (3 works) · Agronomy (2 works) · Artificial neural network (2 works) · Computer Science (2 works) · Ecology (2 works) · Ecosystem (2 works) · Extreme Learning Machine (2 works) · Geography (2 works) · Hydrology and Drought Analysis (2 works) · Mathematics (2 works)

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