Deterministic modelling of freshwater lakes and reservoirs: Current trends and recent progress

Environmental Modelling & Software, Год журнала: 2021, Номер 144, С. 105143 - 105143

Опубликована: Июль 16, 2021

Язык: Английский

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Understanding the water quality change of the Yilong Lake based on comprehensive assessment methods

Ecological Indicators, Год журнала: 2021, Номер 126, С. 107714 - 107714

Опубликована: Апрель 20, 2021

To understand the water quality changes of Yilong Lake and reveal driving factors in different periods, this study, based on 13 parameters, from 2008 to 2018 was comprehensively evaluated by health comprehensive assessment method (ETI) index (WQI), 6 key parameters were determined WQI develop a more convenient WQImin evaluation model. The results showed that: (1) Lake's single-factor result inferior category V, CODCr TN had greater impact results; while ETI methods show is at moderate level (53.58 ± 7.46 0.53 0.13). Among them, nutrients such as nitrogen phosphorus have greatest values. (2) reveals that can be divided into two stages. lakes declined 2013, main are increase industrial sewage discharge pollution load caused tourism development; 2014 2018, lake an improving trend, spatial change shows west slightly better than middle east, which mainly due lake's self-purification ability, implementation various treatment measures, supplement project location pollutant discharge; (3) Based method, six DO, CODMn, EC, TN, Hg, Chla model developed. considering weight accurate, characteristics understood simply quickly.

Язык: Английский

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Trophic level plays an enhanced role in shaping microbiota structure and assembly in lakes with decreased salinity on the Qinghai-Tibet and Inner Mongolia Plateaus

The Science of The Total Environment, Год журнала: 2024, Номер 923, С. 171316 - 171316

Опубликована: Фев. 28, 2024

Язык: Английский

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An improved coupled water quantity–quality–ecology model incorporating diurnal cycle as a key factor affecting algal blooms and application in large rivers

Journal of Environmental Management, Год журнала: 2025, Номер 376, С. 124497 - 124497

Опубликована: Фев. 15, 2025

Язык: Английский

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Research progress on ecological models in the field of water eutrophication: CiteSpace analysis based on data from the ISI web of science database

Ecological Modelling, Год журнала: 2019, Номер 410, С. 108779 - 108779

Опубликована: Авг. 12, 2019

Язык: Английский

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Stochastic modeling of chlorophyll-a for probabilistic assessment and monitoring of algae blooms in the Lower Nakdong River, South Korea

Journal of Hazardous Materials, Год журнала: 2020, Номер 400, С. 123066 - 123066

Опубликована: Июнь 15, 2020

Язык: Английский

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Identifying key drivers of harmful algal blooms in a tributary of the Three Gorges Reservoir between different seasons: Causality based on data-driven methods

Environmental Pollution, Год журнала: 2021, Номер 297, С. 118759 - 118759

Опубликована: Дек. 28, 2021

Язык: Английский

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Chlorophyll soft-sensor based on machine learning models for algal bloom predictions

Scientific Reports, Год журнала: 2022, Номер 12(1)

Опубликована: Авг. 8, 2022

Abstract Harmful algal blooms (HABs) are a growing concern to public health and aquatic ecosystems. Long-term water monitoring conducted by hand poses several limitations the proper implementation of safety plans. This work combines automatic high-frequency (AFHM) systems with machine learning (ML) techniques build data-driven chlorophyll- (Chl- ) soft-sensor. Massive data for temperature, pH, electrical conductivity (EC) system battery were taken three years at intervals 15 min from two different areas As Conchas freshwater reservoir (NW Spain). We designed set soft-sensors based on compact energy efficient ML algorithms infer Chl- fluorescence using low-cost input variables be deployed buoys limited hardware resources. Input output aggregations applied in models increase their inference performance. A component capable triggering 10 $$\upmu$$ μ g/L alert was also developed. The results showed that could rapid inexpensive tool support manual sampling bodies risk.

Язык: Английский

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Forecasting water quality variable using deep learning and weighted averaging ensemble models

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(59), С. 124316 - 124340

Опубликована: Ноя. 24, 2023

Язык: Английский

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Recent technological developments and challenges for phosphorus removal and recovery toward a circular economy

Environmental Technology & Innovation, Год журнала: 2023, Номер 30, С. 103114 - 103114

Опубликована: Март 22, 2023

This review aims to summarise the current state of art technologies for phosphorus recovery from waste and wastewater. Information corroborated here shows a clear relationship between PO4-P content in liquid phase cost recovery. In fact, all commercial scale operations this involve phosphorus-rich stream. most cases, is achieved via two key steps: solubilising into water then phosphate chemical precipitation/crystallisation. Recent development has also included enrichment pre-treatment rich Phosphorus contaminant aquatic environment. Thus, work reviews post-treatment stream after environmental discharge or reuse. places spotlight on requirement further research especially at pilot- full-scale level. The demonstrates need complement process precipitation.

Язык: Английский

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