Evaluation of Water Pollution Prevention and Control Project in the South-to-North Water Diversion Project Based on Machine Learning DOI Open Access

Ken Lodewyk

Water Pollution Prevention and Control Project, Journal Year: 2021, Volume and Issue: 2(4)

Published: Dec. 18, 2021

During the South-to-North Water Diversion (SNWD) Project, water pollution (WP) is caused by industrial production, domestic garbage and other reasons, which may affect role of SNWD Project.Therefore, WP governance project in has become a very important social issue.Based on this, this paper studied effect prevention control evaluated quality H section eastern route proposed prediction method based machine learning (ML), Project combining index evaluation standard fuzzy logic system.The results showed that average absolute error was about 0.16, root mean square 0.25.This had certain accuracy.The after good.The played its due role, but there still room for improvement.

Language: Английский

Identification of driving factors of algal growth in the South-to-North Water Diversion Project by Transformer-based deep learning DOI Creative Commons
Jing Qian, Nan Pu, Li Qian

et al.

Water Biology and Security, Journal Year: 2023, Volume and Issue: 2(3), P. 100184 - 100184

Published: April 20, 2023

Accurate and credible identification of the drivers algal growth is essential for sustainable utilization scientific management freshwater. In this study, we developed a deep learning-based Transformer model, named Bloomformer-1, end-to-end without needing extensive priori knowledge or prior experiments. The Middle Route South-to-North Water Diversion Project (MRP) was used as study site to demonstrate that Bloomformer-1 exhibited more robust performance (with highest R2, 0.80 0.94, lowest RMSE, 0.22–0.43 ​μg/L) compared four widely traditional machine learning models, namely extra trees regression (ETR), gradient boosting tree (GBRT), support vector (SVR), multiple linear (MLR). addition, had higher interpretability (including transferability understandability) than which meant it trustworthy results could be directly applied real scenarios. Finally, determined total phosphorus (TP) most important driver MRP, especially in Henan section canal, although nitrogen (TN) effect on Hebei section. Based these results, loading controlling whole MRP proposed an control strategy.

Language: Английский

Citations

12

Enhancing the engineering design of diversion routes to safeguard water quality: New insights from a carbon cycling perspective DOI Creative Commons

Hanlu Yan,

Qiuwen Chen, Yuqing Lin

et al.

The Innovation Geoscience, Journal Year: 2024, Volume and Issue: 2(2), P. 100075 - 100075

Published: Jan. 1, 2024

<p>Conserving the quality of transferred water ensures success and sustainability interbasin diversion works, which are increasingly crucial for global security. Despite intensive scientific engineering efforts, carbon dynamics in these artificial rivers have been overlooked. The accumulation organic mud some transfer canals, example, Middle Route South-to-North Water Diversion (SNWT) China, poses multifaceted risks, including jeopardized quality, disrupted supply, surging removal expenses. In contrast, natural channels delivery, such as parallel East SNWT, do not experience challenges. Our study reveals that open concrete canal Route, devoid connections to local bodies, compromises hydrological connectivity, contrasting with enhances it. This, turn, undermines microbial stochastic assembly processes, impedes introduction habitat-generalist species, facilitates detrital within ecosystem, presumably due constraints on bacterial community functions. These findings can improve future designs schemes, approaches channel construction, preserving quality.</p>

Language: Английский

Citations

2

Algal proliferation risk assessment using Vine Copula-based coupling methods in the South-to-North Water Diversion Project of China DOI Creative Commons
Xizhi Nong, Jun Zeng,

Yonghang Ma

et al.

Frontiers in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 11

Published: June 13, 2023

The Middle Route of the South-to-North Water Diversion Project China (MRSNWDPC), i.e., longest inter-basin water diversion project (1,432 km) in world, has delivered more than 60 billion m 3 resources to North and benefiting 100 million people since December 2014. However, abnormal algal proliferation main canal under low nutrient background seriously threatened quality safety this mega project. In research, years monitoring data matrix, including temperature (WT), flow discharge (Q), velocity (V), dissolved oxygen (DO), cell density (ACD), from MRSNWDPC were analyzed. nonlinear relationships determined based on multiple regression models, a composite risk analysis model was constructed by Latin hypercube sampling (LHS) method coupled with Vine Copula function. impacts different hydrological environmental factors comprehensively analyzed Bayesian theory. results showed that WT gradually decreased upstream downstream, narrow range 16.6–17.4°C, annual average concentrations DO gradual increase downstream. had tendency year year, maximum exceeds 0.8 m/s upstream, midstream downstream 2018. ACD accumulated along canal, ACDs highest, ranging 366.17 462.95 × 10 4 cells/L. joint early-warning considering both conditions is an effective way for warning management. When temperatures midstream, below 26, 23°C, respectively, can be controlled 50% at 0.3 m/s; otherwise, needs regulated higher m/s. order keep avoid events (ACD ≥ 500 cells/L), corresponding need lower 319 cells/L 470 cells/L, respectively. This study provides scientific reference long-distance project’s control protection. proposed coupling models also widely applied multivariate fields.

Language: Английский

Citations

5

Online monitoring and sampling analysis of siltation in the middle route of the south-to-north water diversion project DOI Creative Commons
Dawei Zhang, Xiaolin Han,

Zhong Qiang

et al.

Frontiers in Environmental Science, Journal Year: 2022, Volume and Issue: 10

Published: July 26, 2022

The middle route project (MRP) of the South to North Water Diversion Project is a significant infrastructure and alleviating water scarcity in Northern China. MRP suffered from untraditional siltation problems. Obvious occurred regulating reservoir at end channel some locations with weak hydrodynamic conditions when mineral concentration flow very low. To study characteristics time period, an IoT based automatic monitoring system using cloud was installed outlet inverted siphon on Xiao River. Three years online data since 2018 samples five sites for particle size analysis were collected. shows that mainly occurs during March October, almost no winter. maximum speed can reach 390 mm per day. gradually increases upstream downstream, which range above 100 m. organic matter contained increase 40.3 86.4% downstream sampling position, respectively. Monitoring results main body not traditional but remnants algae proliferate large numbers. During temperature suitable proliferation attaches sediment particles grows flow.

Language: Английский

Citations

3

Identifying Mechanisms of the Outbreak and Termination of Riverine Diatom Blooms Using Daily Sampling Data DOI

Yi‐Ming Kuo,

Enmin Zhao,

Yan Li

et al.

Published: Jan. 1, 2024

Intensive anthropogenic activities and climate change have led to frequent algal blooms in rivers globally, threatening riverine ecosystems. Traditional sampling methods such as monthly or seasonal make causal analysis difficult due multiple influencing factors complex temporal dynamics of algae. This study investigates the mechanisms behind outbreak termination a diatom bloom downstream Han River (DHR) central China using high-frequency daily data from February 27 March 27, 2019. Diatom density peaked at 8.30 × 106 cells/L. Multivariate statistical analyses revealed that increased water stabilization, rising temperatures (up 16.2 °C), high light intensity 139 W/m²) were key triggering bloom, with nutrients not being limiting factors. Conversely, nitrogen levels found significantly correlate during period, indicating limitation (TN reduced 1.216 mg/L) critical factor ending bloom. discrepancy may stem use long-term, low-frequency prior research. The highlights importance monitoring capture rapid dynamics, offering valuable insights for prevention control blooms.

Language: Английский

Citations

0

Ecological impacts and supply demand evolution of the Yangtze to Huaihe water transfer project in Anhui section DOI Creative Commons
Wenqing Ding,

Guangzhi Shi,

Hui Zha

et al.

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

Published: Sept. 2, 2024

Human activities have profound impacts on land use and the supply–demand balance of ecosystem services (ESs). Various activities, such as urban construction, rural planning, inter-basin water transfer projects, continuously reshape patterns. This is a case study Anhui section Yangtze-Huaihe Water Diversion Project. Data from 2000, 2010, 2020 analyzed. Additionally, patch-generating simulation (PLUS) model utilized to quantify specific diversion project construction supply demand ESs. The results indicate that comprehensive dynamic attitude during period significantly increased, rising 0.16 13.79%, mainly affected forest, areas, land, unused land. Specifically, led significant changes in purification, biodiversity, and, especially, hydrological regulation services. migration residents impacted for also found correlation between ES demand: proportion cultivated positively correlated with balance, while grassland, areas negatively correlated. provides empirical data understanding environmental socio-economic large-scale projects offers scientific basis local mitigation control adverse impacts. Through quantitative analysis prediction, this research effectively bridges gap theory practice, providing important references sustainable regional development.

Language: Английский

Citations

0

Comprehensive Benefit Assessment of the Middle Route of South-to-North Water Diversion Project Based on Markowitz Theory DOI Creative Commons

Yan Long,

Jia Qu,

Wei Gao

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 7, 2023

Abstract In order to maximize the water utilization rate of complex diversion projects at different times and in regions, this study takes actual benefits from 2015 2021 Beijing, Tianjin, Hebei province Henan receiving areas middle route project as basis, selects nine representative indicators regarding social, economic ecological benefits. Then Markowitz theory economics is used calculate combination allocation for achieve maximum comprehensive benefits, a model conservancy built. The results show that are achieved when 79.9% transferred produce social 15.8% 4.5%

Language: Английский

Citations

0

Comprehensive Benefit Assessment of the Middle Route of South-to-North Water Diversion Project Based on Markowitz Theory DOI Open Access

Yan Long,

Jia Qu,

Tianhao Zhao

et al.

Water, Journal Year: 2023, Volume and Issue: 15(24), P. 4212 - 4212

Published: Dec. 6, 2023

In the context of global climate change and water-carbon peak target, improving water security in arid regions is a persistent challenge resources management. Water diversion projects can serve as an important measure to effectively alleviate uneven distribution resources, achieve rational allocation efficient utilization resources. However, how maximization comprehensive benefits during process also urgent problem that needs be solved. This study focuses on Middle Route Project South North Diversion China, selecting four municipalities provinces 2015 2021, namely Beijing, Tianjin, Hebei Province, Henan based actual receiving areas middle line project. Nine representative indicators related social, economic, ecological were selected evaluate optimal combination resource along central line, order maximum solve problems high safety guarantee requirements difficult balanced urban agglomerations areas. Through calculation Markovsky theoretical model, results show when 79.9% conveyance used generate social benefits, 15.8% 4.5% economic project achieves benefits. computational model method provide technical support scientific reference for cross regional transfer projects.

Language: Английский

Citations

0

Evaluation of Water Pollution Prevention and Control Project in the South-to-North Water Diversion Project Based on Machine Learning DOI Open Access

Ken Lodewyk

Water Pollution Prevention and Control Project, Journal Year: 2021, Volume and Issue: 2(4)

Published: Dec. 18, 2021

During the South-to-North Water Diversion (SNWD) Project, water pollution (WP) is caused by industrial production, domestic garbage and other reasons, which may affect role of SNWD Project.Therefore, WP governance project in has become a very important social issue.Based on this, this paper studied effect prevention control evaluated quality H section eastern route proposed prediction method based machine learning (ML), Project combining index evaluation standard fuzzy logic system.The results showed that average absolute error was about 0.16, root mean square 0.25.This had certain accuracy.The after good.The played its due role, but there still room for improvement.

Language: Английский

Citations

0