Impact of short-term climate variation and hydrology change on thermal structure and water quality of a canyon-shaped, stratified reservoir

2015 ◽  
Vol 22 (23) ◽  
pp. 18372-18380 ◽  
Author(s):  
Wei-Xing Ma ◽  
Ting-Lin Huang ◽  
Xuan Li ◽  
Hai-Han Zhang ◽  
Tuo Ju
2021 ◽  
Vol 6 (4) ◽  
pp. 40-49
Author(s):  
Nur Natasya Mohd Anuar ◽  
Nur Fatihah Fauzi ◽  
Huda Zuhrah Ab Halim ◽  
Nur Izzati Khairudin ◽  
Nurizatul Syarfinas Ahmad Bakhtiar ◽  
...  

Predictions of future events must be factored into decision-making. Predictions of water quality are critical to assist authorities in making operational, management, and strategic decisions to keep the quality of water supply monitored under specific criteria. Taking advantage of the good performance of long short-term memory (LSTM) deep neural networks in time-series prediction, the purpose of this paper is to develop and train a Long-Short Term Memory (LSTM) Neural Network to predict water quality parameters in the Selangor River. The primary goal of this study is to predict five (5) water quality parameters in the Selangor River, namely Biochemical Oxygen Demand (BOD), Ammonia Nitrogen (NH3-N), Chemical Oxygen Demand (COD), pH, and Dissolved Oxygen (DO), using secondary data from different monitoring stations along the river basin. The accuracy of this method was then measured using RMSE as the forecast measure. The results show that by using the Power of Hydrogen (pH), the dataset yielded the lowest RMSE value, with a minimum of 0.2106 at station 004 and a maximum of 1.2587 at station 001. The results of the study indicate that the predicted values of the model and the actual values were in good agreement and revealed the future developing trend of water quality parameters, showing the feasibility and effectiveness of using LSTM deep neural networks to predict the quality of water parameters.


2014 ◽  
Vol 485-486 ◽  
pp. 820-827 ◽  
Author(s):  
Tinglin Huang ◽  
Xuan Li ◽  
Huub Rijnaarts ◽  
Tim Grotenhuis ◽  
Weixing Ma ◽  
...  

Formulation of the problem. Regulation of hazardous chemicals admission to surface water is carried out by means of appropriate water quality standards. Researching the systems of surface water quality regulation in different countries, it has been determined that there is a tendency to use standards for the protection of the aquatic ecosystem and for meeting the needs of society and industries - environmental quality standards. Such standards are based on obtaining ecotoxicological information of a dangerous chemical substance on the representatives of the aquatic ecosystem. Among them, some of the most sensitive test organisms are crustaceans from the Daphniidae family. They are used to establish water quality standards for chemicals, to assess the quality of wastewater and surface water using a toxicological indicator. It is recommended to use a standardized international methodology to assess effects of chemicals on Daphnia magna Straus (OECD No. 202) to establish environmental water quality standards in EU countries. However, in Ukraine, in water protection practice, the most popular test organism is Ceriodaphnia affinis Lilljeborg (Daphnia sp.). The purpose of the article. In order to set ecological standards for water quality of chemicals in Ukraine, the authors proposed to test the OECD No. 202 methodology using Ceriodaphnia affinis test organisms and to establish metrological characteristics for it. Presentation of the main research material. The authors tested the OECD methodology No. 202 [21] on the crustacean culture Ceriodaphnia affinis from the culture collection of the Laboratory of Ecological and Toxicological Research, the V. N. Karazin KhNU. The coefficient of variation of EC50-24 and EC50-48 K2Cr2O7 was 16,8 % and 15,9 % respectively. Based on the data obtained, the metrological characteristics of the tested method were established: the response range of the test organisms Ceriodaphnia affinis is the following – 1,45<EC50-24 <2,91 (mg/dm3); reproducibility of the results of determining the toxicity of a chemical substance – 0,18 mg/dm3 (16,1%); the error in the results of determining the toxicity of a chemical substance – 0,34 mg/dm3 (31.6 %); standard of operational control – 0,49 mg/dm3. Scientific novelty and practical significance. The findings confirm the possibility of using Ceriodaphnia affinis in a short-term test in setting environmental water quality standards in Ukraine.


2021 ◽  
Vol 13 ◽  
pp. 100120 ◽  
Author(s):  
Angelika Hess ◽  
Chiara Baum ◽  
Konstanze Schiessl ◽  
Michael D. Besmer ◽  
Frederik Hammes ◽  
...  

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