Evaporation and Evaluation of Seven Estimation Methods: Results from Brullus Lake, North of Nile Delta, Egypt

Maged Mohamed Abdel Moneim Hussein

doi:doi:10.11648/j.hyd.20170504.12

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Evaporation and Evaluation of Seven Estimation Methods: Results from Brullus Lake, North of Nile Delta, Egypt

Maged Mohamed Abdel Moneim Hussein

Published in Hydrology (Volume 5, Issue 4)

Received: 3 February 2017 Accepted: 28 February 2017 Published: 22 October 2017

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Abstract

Variations in lake evaporation have a significant impact on the energy budget and water budget of lake. Understanding these variations and the role of climate is important for water resource management as well as predicting future changes in Lake Hydrology as a result of climate change. This study presents a comprehensive of 10 years dataset (2003 -2012) from Lake Brullus (Nile Delta Lake) North-Egypt for monthly and annually variations in lake evaporation. Evaporation during this interval was calculated using six evaporation methods, based on field meteorology, and lake water temperature data. Actual evaporation determined during a month of a year was estimated using a lake energy budget model, and the estimation was used as reference evaporation for evaluation of the six methods. The deviations of method carried out evaporation results from the reference evaporation were compared among the six methods, and an execution rank was suggested based on the root mean squared deviation and coefficient of efficiency. Makkink method was the best method for the whole data interval, followed by DeBruin-Kejiman method and the poor one is Penman method.

Published in	Hydrology (Volume 5, Issue 4)
DOI	10.11648/j.hyd.20170504.12
Page(s)	58-66
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Lake Brullus, Evaporation, Energy Budget, Temperature

References

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Maged Mohamed Abdel Moneim Hussein. (2017). Evaporation and Evaluation of Seven Estimation Methods: Results from Brullus Lake, North of Nile Delta, Egypt. Hydrology, 5(4), 58-66. https://doi.org/10.11648/j.hyd.20170504.12

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ACS Style

Maged Mohamed Abdel Moneim Hussein. Evaporation and Evaluation of Seven Estimation Methods: Results from Brullus Lake, North of Nile Delta, Egypt. Hydrology. 2017, 5(4), 58-66. doi: 10.11648/j.hyd.20170504.12

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AMA Style

Maged Mohamed Abdel Moneim Hussein. Evaporation and Evaluation of Seven Estimation Methods: Results from Brullus Lake, North of Nile Delta, Egypt. Hydrology. 2017;5(4):58-66. doi: 10.11648/j.hyd.20170504.12

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@article{10.11648/j.hyd.20170504.12,
  author = {Maged Mohamed Abdel Moneim Hussein},
  title = {Evaporation and Evaluation of Seven Estimation Methods: Results from Brullus Lake, North of Nile Delta, Egypt},
  journal = {Hydrology},
  volume = {5},
  number = {4},
  pages = {58-66},
  doi = {10.11648/j.hyd.20170504.12},
  url = {https://doi.org/10.11648/j.hyd.20170504.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hyd.20170504.12},
  abstract = {Variations in lake evaporation have a significant impact on the energy budget and water budget of lake. Understanding these variations and the role of climate is important for water resource management as well as predicting future changes in Lake Hydrology as a result of climate change. This study presents a comprehensive of 10 years dataset (2003 -2012) from Lake Brullus (Nile Delta Lake) North-Egypt for monthly and annually variations in lake evaporation. Evaporation during this interval was calculated using six evaporation methods, based on field meteorology, and lake water temperature data. Actual evaporation determined during a month of a year was estimated using a lake energy budget model, and the estimation was used as reference evaporation for evaluation of the six methods. The deviations of method carried out evaporation results from the reference evaporation were compared among the six methods, and an execution rank was suggested based on the root mean squared deviation and coefficient of efficiency. Makkink method was the best method for the whole data interval, followed by DeBruin-Kejiman method and the poor one is Penman method.},
 year = {2017}
}

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TY  - JOUR
T1  - Evaporation and Evaluation of Seven Estimation Methods: Results from Brullus Lake, North of Nile Delta, Egypt
AU  - Maged Mohamed Abdel Moneim Hussein
Y1  - 2017/10/22
PY  - 2017
N1  - https://doi.org/10.11648/j.hyd.20170504.12
DO  - 10.11648/j.hyd.20170504.12
T2  - Hydrology
JF  - Hydrology
JO  - Hydrology
SP  - 58
EP  - 66
PB  - Science Publishing Group
SN  - 2330-7617
UR  - https://doi.org/10.11648/j.hyd.20170504.12
AB  - Variations in lake evaporation have a significant impact on the energy budget and water budget of lake. Understanding these variations and the role of climate is important for water resource management as well as predicting future changes in Lake Hydrology as a result of climate change. This study presents a comprehensive of 10 years dataset (2003 -2012) from Lake Brullus (Nile Delta Lake) North-Egypt for monthly and annually variations in lake evaporation. Evaporation during this interval was calculated using six evaporation methods, based on field meteorology, and lake water temperature data. Actual evaporation determined during a month of a year was estimated using a lake energy budget model, and the estimation was used as reference evaporation for evaluation of the six methods. The deviations of method carried out evaporation results from the reference evaporation were compared among the six methods, and an execution rank was suggested based on the root mean squared deviation and coefficient of efficiency. Makkink method was the best method for the whole data interval, followed by DeBruin-Kejiman method and the poor one is Penman method.
VL  - 5
IS  - 4
ER  -

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Author Information

Maged Mohamed Abdel Moneim Hussein

Marine Physics Laboratory, Division of Marine Environment, National Institute of Oceanography and Fisheries (NIOF), Alexandria, Egypt

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Maged Mohamed Abdel Moneim Hussein. (2017). Evaporation and Evaluation of Seven Estimation Methods: Results from Brullus Lake, North of Nile Delta, Egypt. Hydrology, 5(4), 58-66. https://doi.org/10.11648/j.hyd.20170504.12

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ACS Style

Maged Mohamed Abdel Moneim Hussein. Evaporation and Evaluation of Seven Estimation Methods: Results from Brullus Lake, North of Nile Delta, Egypt. Hydrology. 2017, 5(4), 58-66. doi: 10.11648/j.hyd.20170504.12

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AMA Style

Maged Mohamed Abdel Moneim Hussein. Evaporation and Evaluation of Seven Estimation Methods: Results from Brullus Lake, North of Nile Delta, Egypt. Hydrology. 2017;5(4):58-66. doi: 10.11648/j.hyd.20170504.12

Copy | Download

@article{10.11648/j.hyd.20170504.12,
  author = {Maged Mohamed Abdel Moneim Hussein},
  title = {Evaporation and Evaluation of Seven Estimation Methods: Results from Brullus Lake, North of Nile Delta, Egypt},
  journal = {Hydrology},
  volume = {5},
  number = {4},
  pages = {58-66},
  doi = {10.11648/j.hyd.20170504.12},
  url = {https://doi.org/10.11648/j.hyd.20170504.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hyd.20170504.12},
  abstract = {Variations in lake evaporation have a significant impact on the energy budget and water budget of lake. Understanding these variations and the role of climate is important for water resource management as well as predicting future changes in Lake Hydrology as a result of climate change. This study presents a comprehensive of 10 years dataset (2003 -2012) from Lake Brullus (Nile Delta Lake) North-Egypt for monthly and annually variations in lake evaporation. Evaporation during this interval was calculated using six evaporation methods, based on field meteorology, and lake water temperature data. Actual evaporation determined during a month of a year was estimated using a lake energy budget model, and the estimation was used as reference evaporation for evaluation of the six methods. The deviations of method carried out evaporation results from the reference evaporation were compared among the six methods, and an execution rank was suggested based on the root mean squared deviation and coefficient of efficiency. Makkink method was the best method for the whole data interval, followed by DeBruin-Kejiman method and the poor one is Penman method.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Evaporation and Evaluation of Seven Estimation Methods: Results from Brullus Lake, North of Nile Delta, Egypt
AU  - Maged Mohamed Abdel Moneim Hussein
Y1  - 2017/10/22
PY  - 2017
N1  - https://doi.org/10.11648/j.hyd.20170504.12
DO  - 10.11648/j.hyd.20170504.12
T2  - Hydrology
JF  - Hydrology
JO  - Hydrology
SP  - 58
EP  - 66
PB  - Science Publishing Group
SN  - 2330-7617
UR  - https://doi.org/10.11648/j.hyd.20170504.12
AB  - Variations in lake evaporation have a significant impact on the energy budget and water budget of lake. Understanding these variations and the role of climate is important for water resource management as well as predicting future changes in Lake Hydrology as a result of climate change. This study presents a comprehensive of 10 years dataset (2003 -2012) from Lake Brullus (Nile Delta Lake) North-Egypt for monthly and annually variations in lake evaporation. Evaporation during this interval was calculated using six evaporation methods, based on field meteorology, and lake water temperature data. Actual evaporation determined during a month of a year was estimated using a lake energy budget model, and the estimation was used as reference evaporation for evaluation of the six methods. The deviations of method carried out evaporation results from the reference evaporation were compared among the six methods, and an execution rank was suggested based on the root mean squared deviation and coefficient of efficiency. Makkink method was the best method for the whole data interval, followed by DeBruin-Kejiman method and the poor one is Penman method.
VL  - 5
IS  - 4
ER  -

Copy | Download