Predicting total phosphorus levels as indicators for shallow lake management
The discusser thanks the authors for investigating the ability of modified random forest algorithm to predicting total phosphorus levels as indicators for shallow lake management. The abilities of machine learning techniques such as optimization algorithms today have been well documented in engineer...
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| Published in: | Ecological indicators Vol. 107; p. 105664 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
01.12.2019
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| Subjects: | |
| ISSN: | 1470-160X, 1872-7034 |
| Online Access: | Get full text |
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| Abstract | The discusser thanks the authors for investigating the ability of modified random forest algorithm to predicting total phosphorus levels as indicators for shallow lake management. The abilities of machine learning techniques such as optimization algorithms today have been well documented in engineering sciences. In this discussion, the discusser has tried to clarify the process of the paper of “Predicting total phosphorus levels as indicators for shallow lake management”(doi: https://doi.org/10.1016/j.ecolind.2018.09.002). The discusser would like to call attention to some important points, which may be taken into consideration by the authors and other potential researchers. |
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| AbstractList | The discusser thanks the authors for investigating the ability of modified random forest algorithm to predicting total phosphorus levels as indicators for shallow lake management. The abilities of machine learning techniques such as optimization algorithms today have been well documented in engineering sciences. In this discussion, the discusser has tried to clarify the process of the paper of “Predicting total phosphorus levels as indicators for shallow lake management”(doi: https://doi.org/10.1016/j.ecolind.2018.09.002). The discusser would like to call attention to some important points, which may be taken into consideration by the authors and other potential researchers. |
| ArticleNumber | 105664 |
| Author | Mohammadi, Babak |
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| Cites_doi | 10.1016/j.ecolind.2019.02.013 10.1016/j.ecolind.2019.04.055 10.1016/j.ecolind.2018.09.002 10.1016/j.geoderma.2019.06.028 |
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| References | Jahani, Mohammadi (b0010) 2018; 137 Moazenzadeh, Mohammadi (b0015) 2019; 353 Vitense, Hanson, Herwig, Zimmer, Fieberg (b0035) 2019; 96 Mohammadi (b0020) 2019; 1–2 Mohammadi (b0030) 2019; 103 Mohammadi (b0025) 2019; 101 Aghelpour, Mohammadi, Biazar (b0005) 2019 Aghelpour (10.1016/j.ecolind.2019.105664_b0005) 2019 Mohammadi (10.1016/j.ecolind.2019.105664_b0020) 2019; 1–2 Moazenzadeh (10.1016/j.ecolind.2019.105664_b0015) 2019; 353 Jahani (10.1016/j.ecolind.2019.105664_b0010) 2018; 137 Mohammadi (10.1016/j.ecolind.2019.105664_b0025) 2019; 101 Vitense (10.1016/j.ecolind.2019.105664_b0035) 2019; 96 Mohammadi (10.1016/j.ecolind.2019.105664_b0030) 2019; 103 |
| References_xml | – volume: 103 start-page: 493 year: 2019 ident: b0030 article-title: Letter to the Editor “Design of an integrated climatic assessment indicator (ICAI) for wheat production: A case study in Jiangsu Province, China” by Xiangying Xu, Ping Gao, Xinkai Zhu, Wenshan Guo, Jinfeng Ding, Chunyan Li, Min Zhu, Xuanwei Wu publication-title: Ecol. Indic. – volume: 96 start-page: 278 year: 2019 end-page: 287 ident: b0035 article-title: Predicting total phosphorus levels as indicators for shallow lake management publication-title: Ecol. Indic. – start-page: 1 year: 2019 end-page: 10 ident: b0005 article-title: Long-term monthly average temperature forecasting in some climate types of Iran, using the models SARIMA, SVR, and SVR-FA publication-title: Theor. Appl. Climatol. – volume: 1–2 year: 2019 ident: b0020 article-title: Letter to the editor “Estimation of sodium adsorption ratio indicator using data mining methods: a case study in Urmia Lake basin, Iran” by Mohammad Taghi Sattari, Arya Farkhondeh, and John Patrick Abraham publication-title: Environ. Sci. Pollut. Res. – volume: 101 start-page: 973 year: 2019 end-page: 974 ident: b0025 article-title: “Prediction of effective climate change indicators using statistical downscaling approach and impact assessment on pearl millet (Pennisetum glaucum L.) yield through genetic algorithm in Punjab, Pakistan” by Asmat Ullah, Nasrin Salehnia, Sohrab Kolsoumi, Ashfaq Ahmad, Tasneem Khaliq publication-title: Ecol. Indic. – volume: 137 start-page: 1257 year: 2018 end-page: 1269 ident: b0010 article-title: A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran publication-title: Theor. Appl. Climatol. – volume: 353 start-page: 152 year: 2019 end-page: 171 ident: b0015 article-title: Assessment of bio-inspired metaheuristic optimisation algorithms for estimating soil temperature publication-title: Geoderma – volume: 101 start-page: 973 year: 2019 ident: 10.1016/j.ecolind.2019.105664_b0025 publication-title: Ecol. Indic. doi: 10.1016/j.ecolind.2019.02.013 – volume: 103 start-page: 493 year: 2019 ident: 10.1016/j.ecolind.2019.105664_b0030 article-title: Letter to the Editor “Design of an integrated climatic assessment indicator (ICAI) for wheat production: A case study in Jiangsu Province, China” by Xiangying Xu, Ping Gao, Xinkai Zhu, Wenshan Guo, Jinfeng Ding, Chunyan Li, Min Zhu, Xuanwei Wu publication-title: Ecol. Indic. doi: 10.1016/j.ecolind.2019.04.055 – volume: 137 start-page: 1257 issue: 1–2 year: 2018 ident: 10.1016/j.ecolind.2019.105664_b0010 article-title: A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran publication-title: Theor. Appl. Climatol. – volume: 96 start-page: 278 issue: 1 year: 2019 ident: 10.1016/j.ecolind.2019.105664_b0035 article-title: Predicting total phosphorus levels as indicators for shallow lake management publication-title: Ecol. Indic. doi: 10.1016/j.ecolind.2018.09.002 – volume: 1–2 year: 2019 ident: 10.1016/j.ecolind.2019.105664_b0020 article-title: Letter to the editor “Estimation of sodium adsorption ratio indicator using data mining methods: a case study in Urmia Lake basin, Iran” by Mohammad Taghi Sattari, Arya Farkhondeh, and John Patrick Abraham publication-title: Environ. Sci. Pollut. Res. – volume: 353 start-page: 152 year: 2019 ident: 10.1016/j.ecolind.2019.105664_b0015 article-title: Assessment of bio-inspired metaheuristic optimisation algorithms for estimating soil temperature publication-title: Geoderma doi: 10.1016/j.geoderma.2019.06.028 – start-page: 1 year: 2019 ident: 10.1016/j.ecolind.2019.105664_b0005 article-title: Long-term monthly average temperature forecasting in some climate types of Iran, using the models SARIMA, SVR, and SVR-FA publication-title: Theor. Appl. Climatol. |
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