Water quality ensemble prediction model for the urban water reservoir based on the hybrid long short-term memory (LSTM) network analysis DOI Creative Commons
Kai He, Yu Liu, Jinlong Yuan

et al.

AQUA - Water Infrastructure Ecosystems and Society, Journal Year: 2024, Volume and Issue: 73(8), P. 1621 - 1642

Published: July 15, 2024

ABSTRACT The water quality of drinking reservoirs directly impacts the supply safety for urban residents. This study focuses on Da Jing Shan Reservoir, a crucial source Zhuhai City and Macau Special Administrative Region. aim is to establish prediction model reservoirs, which can serve as vital reference plants when formulating their plans. In this research, after smoothing data using Hodrick-Prescott filter, we utilized long short-term memory (LSTM) network create Reservoir. Simulation calculations reveal that model's fitting degree consistently above 60%. Specifically, accuracy pH, dissolved oxygen (DO), biochemical demand (BOD) in aligns with actual results by more than 70%, effectively simulating reservoir's changes. Moreover, parameters such DO, BOD, total phosphorus, relative forecasting error LSTM less 10%, confirming validity. offer an essential predicting

Language: Английский

Integrating GEE and IWQI for Sustainable Irrigation: A Geospatial Water Quality Assessment DOI

Uttam Vyas,

Dhruvesh Patel, Vinay Vakharia

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 27, P. 101332 - 101332

Published: Sept. 6, 2024

Language: Английский

Citations

3
SEASONAL ASSESSMENT OF WATER QUALITY FOR IRRIGATION USING MULTIPLE INDICES IN THAMIRABARANI RIVER, KANYAKUMARI DISTRICT, INDIA DOI Creative Commons

S. A. Anuja,

P. Kavitha,

C. Hemlet Jothi

et al.

Desalination and Water Treatment, Journal Year: 2024, Volume and Issue: 317, P. 100206 - 100206

Published: Jan. 1, 2024

The Hydrochemical analysis and evaluation of the irrigation water quality Thamirabarani river system has great significance for maintaining livelihoods people ecological stability in area. is a significant kanyakumari district this use largely without enough unbelievable information about qualities levels contamination. study prime source domestic uses above district. samples were collected from ten locations, Pechiparai dam to Thengapattanam estuary pre-monsoon, monsoon post-monsoon seasons respectively. hydrochemistry was established by twelve parameters such as (pH, EC, TDS, NO3-, SO42-, Cl-,CO32-, HCO3-, Ca2+, Mg2+, Na+, K+) also characterized Box plot. Furthermore potential effects evolved on sodicity hazard, magnesium sodium permeability hazards assessed using derived including adsorption ratio, Soluble Sodium Percentage, Permeability index Kelly's ratio. correlation reveals that there strong positive among indices. Wilcox diagram describes upstream stations used downstream especially station 9 10 unsuitable because sea intrusion discharge wastes agricultural activity contaminates water. Therefore need special attention maintain river.

Language: Английский

Citations

2
Hydrogeochemical Evaluation and Multivariate Statistical Analysis of Groundwater for Sustainable Groundwater Quality Management in the Industrial Corridor of Ranipet District, Tamil Nadu, India DOI

Loganathan Krishnamoorthy,

Vignesh Rajkumar Lakshmanan

Water Air & Soil Pollution, Journal Year: 2024, Volume and Issue: 235(10)

Published: Aug. 29, 2024

Language: Английский

Citations

2
Hydrogeochemical and isotopic investigations of groundwater in the reclaimed desert located between EL Nasr canal and Mariut Tableland, NW Coast, Egypt DOI Creative Commons
Ahmed K. Alezabawy, Mustafa Eissa, Zenhom E. Salem

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 11, 2024

Language: Английский

Citations

2
Water quality ensemble prediction model for the urban water reservoir based on the hybrid long short-term memory (LSTM) network analysis DOI Creative Commons
Kai He, Yu Liu, Jinlong Yuan

et al.

AQUA - Water Infrastructure Ecosystems and Society, Journal Year: 2024, Volume and Issue: 73(8), P. 1621 - 1642

Published: July 15, 2024

ABSTRACT The water quality of drinking reservoirs directly impacts the supply safety for urban residents. This study focuses on Da Jing Shan Reservoir, a crucial source Zhuhai City and Macau Special Administrative Region. aim is to establish prediction model reservoirs, which can serve as vital reference plants when formulating their plans. In this research, after smoothing data using Hodrick-Prescott filter, we utilized long short-term memory (LSTM) network create Reservoir. Simulation calculations reveal that model's fitting degree consistently above 60%. Specifically, accuracy pH, dissolved oxygen (DO), biochemical demand (BOD) in aligns with actual results by more than 70%, effectively simulating reservoir's changes. Moreover, parameters such DO, BOD, total phosphorus, relative forecasting error LSTM less 10%, confirming validity. offer an essential predicting

Language: Английский

Citations

1