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Ehteram Mohammad Ahmed Ali Najah Latif Sarmad Dashti Huang Yuk Feng Alizamir Meysam Kisi Ozgur Mert Cihan El-Shafie Ahmed 《Environmental science and pollution research international》2021,28(2):1596-1611
Environmental Science and Pollution Research - There is a need to develop an accurate and reliable model for predicting suspended sediment load (SSL) because of its complexity and difficulty in... 相似文献
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Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring 总被引:1,自引:0,他引:1
A. Najah A. El-Shafie O. A. Karim Amr H. El-Shafie 《Environmental science and pollution research international》2014,21(3):1658-1670
We discuss the accuracy and performance of the adaptive neuro-fuzzy inference system (ANFIS) in training and prediction of dissolved oxygen (DO) concentrations. The model was used to analyze historical data generated through continuous monitoring of water quality parameters at several stations on the Johor River to predict DO concentrations. Four water quality parameters were selected for ANFIS modeling, including temperature, pH, nitrate (NO3) concentration, and ammoniacal nitrogen concentration (NH3-NL). Sensitivity analysis was performed to evaluate the effects of the input parameters. The inputs with the greatest effect were those related to oxygen content (NO3) or oxygen demand (NH3-NL). Temperature was the parameter with the least effect, whereas pH provided the lowest contribution to the proposed model. To evaluate the performance of the model, three statistical indices were used: the coefficient of determination (R 2), the mean absolute prediction error, and the correlation coefficient. The performance of the ANFIS model was compared with an artificial neural network model. The ANFIS model was capable of providing greater accuracy, particularly in the case of extreme events. 相似文献
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Allawi Mohammed Falah Aidan Ibraheem Abdallah El-Shafie Ahmed 《Environmental science and pollution research international》2021,28(7):8281-8295
Environmental Science and Pollution Research - The accuracy level for reservoir evaporation prediction is an important issue for decision making in the water resources field. The traditional... 相似文献
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Empirical gas emission and oxidation measurement at cover soil of dumping site: example from Malaysia 总被引:1,自引:0,他引:1
Mohammed F. M. Abushammala Noor Ezlin Ahmad Basri Hassan Basri Abdul Amir H. Kadhum Ahmed Hussein El-Shafie 《Environmental monitoring and assessment》2013,185(6):4919-4932
Methane (CH4) is one of the most relevant greenhouse gases and it has a global warming potential 25 times greater than that of carbon dioxide (CO2), risking human health and the environment. Microbial CH4 oxidation in landfill cover soils may constitute a means of controlling CH4 emissions. The study was intended to quantify CH4 and CO2 emissions rates at the Sungai Sedu open dumping landfill during the dry season, characterize their spatial and temporal variations, and measure the CH4 oxidation associated with the landfill cover soil using a homemade static flux chamber. Concentrations of the gases were analyzed by a Micro-GC CP-4900. Two methods, kriging values and inverse distance weighting (IDW), were found almost identical. The findings of the proposed method show that the ratio of CH4 to CO2 emissions was 25.4 %, indicating higher CO2 emissions than CH4 emissions. Also, the average CH4 oxidation in the landfill cover soil was 52.5 %. The CH4 and CO2 emissions did not show fixed-pattern temporal variation based on daytime measurements. Statistically, a negative relationship was found between CH4 emissions and oxidation (R 2?=?0.46). It can be concluded that the variation in the CH4 oxidation was mainly attributed to the properties of the landfill cover soil. 相似文献
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