Predicting total phosphorus levels as indicators for shallow lake management-Reference-Cited by-同舟云学术

Predicting total phosphorus levels as indicators for shallow lake management

Published:2019-12 Issue: Volume:107 Page:105664
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Mohammadi Babak^ORCID

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference7 articles.

1. Long-term monthly average temperature forecasting in some climate types of Iran, using the models SARIMA, SVR, and SVR-FA;Aghelpour;Theor. Appl. Climatol.,2019

2. A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran;Jahani;Theor. Appl. Climatol.,2018

3. Assessment of bio-inspired metaheuristic optimisation algorithms for estimating soil temperature;Moazenzadeh;Geoderma,2019

4. 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;Mohammadi;Environ. Sci. Pollut. Res.,2019

5. “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

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