Influence of long-term anthropogenic nitrogen inputs and its legacy on riverine output DOI
Min Cao, Wei Gao, Yanpeng Cai

и другие.

Опубликована: Апрель 28, 2025

Abstract The accelerated accumulation of anthropogenic nitrogen inputs and legacies (NL) is a primary driver for persistently high loads in rivers. Understanding the impact NL on river export (RNE) critical improving water quality. This study employs net input (NANI) approach coefficient model (ECM), coupled with remote sensing data, to analyze dynamics, total (TNE), from 1949 2021 China’s Dongjiang River watershed. Results indicate that NANI peaked 2017 while TNE continued grow, results show over 73 years, grew rapidly 1992, exhibited fluctuating growth 1993 2021, reached its maximum value (6743 kg·km⁻²·yr⁻¹) 2017. Meanwhile, TN output maintained continuous trend, contributing approximately 46.5% RNE 1986 2021. Despite reduced NANI, recent remain major factor TNE. Spatial analysis reveals management should prioritize agricultural practices upstream urban pollution control downstream.

Язык: Английский

Predicting Chlorophyll-a Concentrations in the World’s Largest Lakes Using Kolmogorov-Arnold Networks DOI
Mohammad Javad Saravani, Roohollah Noori, Changhyun Jun

и другие.

Environmental Science & Technology, Год журнала: 2025, Номер unknown

Опубликована: Янв. 16, 2025

Accurate prediction of chlorophyll-a (Chl-a) concentrations, a key indicator eutrophication, is essential for the sustainable management lake ecosystems. This study evaluated performance Kolmogorov-Arnold Networks (KANs) along with three neural network models (MLP-NN, LSTM, and GRU) traditional machine learning tools (RF, SVR, GPR) predicting time-series Chl-a concentrations in large lakes. Monthly remote-sensed data derived from Aqua-MODIS spanning September 2002 to April 2024 were used. The based on their forecasting capabilities March August 2024. KAN consistently outperformed others both test forecast (unseen data) phases demonstrated superior accuracy capturing trends, dynamic fluctuations, peak concentrations. Statistical evaluation using ranking metrics critical difference diagrams confirmed KAN's robust across diverse sites, further emphasizing its predictive power. Our findings suggest that KAN, which leverages KA representation theorem, offers improved handling nonlinearity long-term dependencies data, outperforming grounded universal approximation theorem algorithms.

Язык: Английский

Процитировано

9
Pivotal role of snow depth, local atmospheric conditions, and large-scale climate signals on ice thinning in Finnish lakes DOI
Danial Naderian, Roohollah Noori, Sayed M. Bateni

и другие.

The Science of The Total Environment, Год журнала: 2025, Номер 966, С. 178715 - 178715

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

2
Biomonitoring of the Paraopeba river: Cytotoxic, genotoxic and metal concentration analysis three years after the Brumadinho dam rupture - Minas Gerais, Brazil DOI

Helen Gonçalves Marques,

L. Soares,

Frank Pereira de Andrade

и другие.

The Science of The Total Environment, Год журнала: 2025, Номер 964, С. 178618 - 178618

Опубликована: Янв. 24, 2025

Язык: Английский

Процитировано

1
Impact of seasonal climate variability on constructed wetland treatment efficiency DOI Creative Commons

Charlotte Dykes,

Jonathan Pearson, Gary D. Bending

и другие.

Journal of Water Process Engineering, Год журнала: 2025, Номер 72, С. 107350 - 107350

Опубликована: Март 13, 2025

Язык: Английский

Процитировано

0
Long-term water quality assessment and trophic status trends in Dobromierz, Lubachów and Sosnówka drinking water reservoirs in southwestern Poland DOI Creative Commons

M. Szewczyk,

Paweł Tomczyk, Mirosław Wiatkowski

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Март 21, 2025

Abstract The aim of the article is to assess water quality in three drinking reservoirs southwestern Poland, i.e. Dobromierz, Lubachów and Sosnówka, taking into account two classification methods, determine trophic status indicators 3 research objects, analyze potential sources anthropogenic impact on catchments order identify causes deterioration reservoirs. When analyzing results for period 1992–2022, reference was made methods: new one, force from 1st January 2022, old valid 22nd October 2014 31st December 2021. Due changes monitoring system resulting implementation assumptions Water Framework Directive, scope analyses has been reduced 23 9 parameters. need use methods surface bodies aimed at an in-depth analysis using extended set indicators. limitations data access some individual years, conducted are indicative nature. overall expressed by average value calculated 6 indices 1992–2022 moderate Dobromierz good Sosnówka reservoir. According classification, classes I or II. addresses issue eutrophication intended consumption determining objects based 4 indices. In years oscillated between mesotrophic eutrophic. statistical showed a high variability physicochemical parameters water. that worsened ecological were NO – N, BOD 5 , NH -N, TOC TN. Taking information existing catchment area allowed explanation potentially possible waters. studied facilities risk main pressure caused runoff nutrients unorganized wastewater management area. Long-term needed develop adaptive measures environmental ensure safety reliability entire supply system.

Язык: Английский

Процитировано

0
A long-read sequencing approach to high-resolution profiling of bacterioplankton diversity in a shallow freshwater lake DOI Creative Commons
Stephanie O. Castro Márquez, Viktor R. Tóth, Sofia M. Kolchanova

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 10, 2025

Lake Balaton, a large shallow freshwater lake in Hungary, exhibits diverse bacterioplankton communities influenced by various environmental factors. This study aims to evaluate the bacterial diversity Balaton using long-read approach 16 S rRNA gene sequencing. Water samples were collected from wide network of 33 locations across lake's four basins and analyzed for community composition. Sequencing results revealed high taxonomic with significant zonal variations. Dominant families included Comamonadaceae, Burkholderiaceae, Methylophilaceae. Environmental parameters such as temperature, pH, CDOM found significantly correlate abundance diversity. The underscores utility portability sequencing technology assessing microbial provides insights into ecological dynamics lakes.

Язык: Английский

Процитировано

0
New insights on biomass production in lakes: Integration of Carlson trophic state index and vertically generalized production model DOI

Mohammad Reza Badamian,

Roohollah Noori, Changhyun Jun

и другие.

Ecological Indicators, Год журнала: 2025, Номер 174, С. 113450 - 113450

Опубликована: Апрель 11, 2025

Язык: Английский

Процитировано

0
Machine learning-based Monte Carlo hyperparameter optimization for THMs prediction in urban water distribution networks DOI
Mansour Baziar, Ali Behnami, Negar Jafari

и другие.

Journal of Water Process Engineering, Год журнала: 2025, Номер 73, С. 107683 - 107683

Опубликована: Апрель 14, 2025

Язык: Английский

Процитировано

0
Estimation of phytoplankton community composition from satellite data using a fuzzy and probabilistic combination model in mountainous reservoirs: A case of Huating Lake in spring and summer DOI Creative Commons
Yixuan Qiu, Zhongya Fan,

Huiyun Feng

и другие.

Ecological Informatics, Год журнала: 2025, Номер unknown, С. 103153 - 103153

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
A novel water quality risk assessment framework for reservoir water bodies coupling key parameter selection and dynamic warning threshold determination DOI Creative Commons
Xizhi Nong, Jun Zeng, Lihua Chen

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 24, 2025

Water quality early warning is crucial for protecting ecological security and controlling pollution in lakes reservoirs. However, the traditional level may not provide accurate data a specific area. Therefore, it necessary to design an adaptive threshold identification system that conforms actual operating environment. This study monitored nine water parameters-water temperature (WT), pH, dissolved oxygen (DO), permanganate index (CODMn), chemical demand (COD), five-day biochemical (BOD5), total nitrogen (TN), phosphorus (TP), ammonia (NH3-N)-monthly from 11 sampling sites Danjiangkou Reservoir, i.e., largest artificial lake Asia, 2017 2022. The reservoir was divided into three sub-areas by cluster analysis: Danku, Hanku, intake. Quality Index (WQI) used comprehensive spatiotemporal evaluation, minimum WQI (WQImin) model developed using multiple linear regression. Finally, risk early-warning proposed based on frequency analysis, categorizing six levels. findings reveal each area maintains at "good" or "excellent" levels during period. average values, lowest highest, are Hanku (75.44), Danku (78.78), intake (79.07). result shows of Reservoir has been maintained good due control management Chinese government after operation Middle Route South-to-North Diversion Project China. WQImin models have different key parameters: WT, DO, TN, TP, COD common all areas, whereas NH3-N included both models. BOD5 pH were unique models, respectively. TN TP identified as parameters affecting safety Reservoir. thresholds significantly higher than those intake, indicating worst. These dynamically revised through new became available. assessment framework provides robust tool offers scientific reliable reference administrative departments implement effective environment prevention strategies.

Язык: Английский

Процитировано

0