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1. Novel and robust outflow forecasting methods for upstream large hydropower stations

Author:
Jianzhong Zhou,   et al.   ; Xiao Chen; Benjun Jia; Juncong Li;     Show all 4 Authors
Source:
Journal of hydrology 2022 v.609 pp. 127742
ISSN:
0022-1694
Subject:
power generation; stream flow; tail; water power; China
Abstract:
... Outflow forecasting of upstream large hydropower stations is essential for dispatching of cascade hydropower system. In this study, seven outflow forecasting methods were proposed from aspects of optimizing power generation streamflow, water-energy conversion characteristics and data mining, and were applied to the actual dispatching of the Three Gorges-Gezhouba cascade hydropower system in China. ...
DOI:
10.1016/j.jhydrol.2022.127742

2. Runoff Probability Prediction Model Based on Natural Gradient Boosting with Tree-Structured Parzen Estimator Optimization

Author:
Jianzhong Zhou,   et al.   ; Keyan Shen; Hui Qin; Guanjun Liu;     Show all 4 Authors
Source:
Water 2022 v.14 no.4 pp. -
ISSN:
2073-4441
Subject:
algorithms; models; prediction; probability; risk analysis; runoff; Yangtze River
Abstract:
... Accurate and reliable runoff prediction is critical for solving problems related to water resource planning and management. Deterministic runoff prediction methods cannot meet the needs of risk analysis and decision making. In this study, a runoff probability prediction model based on natural gradient boosting (NGboost) with tree-structured parzen estimator (TPE) optimization is proposed. The mode ...
DOI:
10.3390/w14040545

3. Analysis of protein components in blackberry wine and haze

Author:
Jianzhong Zhou,   et al.   ; Gang Wu; Linlin Fan; Xiaoli Liu; Ying Wang; Caie Wu;     Show all 6 Authors
Source:
Lebensmittel-Wissenschaft + Technologie 2022 v.163 pp. 113547
ISSN:
0023-6438
Subject:
Aspergillus niger; Saccharomyces cerevisiae; blackberries; gene expression regulation; polyphenols; proteomics; tandem mass spectrometry; wines
Abstract:
... Wine haze seriously influences customers’ purchasing decisions. Protein is an influencing factor in wine haze formation. In this study, the differentially expressed proteins (DEPs) in fresh blackberry wine (FBBW) and aged blackberry wine (ABBW) were analyzed by label-free quantitative proteomics, and the proteins in BBWH were identified by high-performance liquid chromatography-tandem mass spectro ...
DOI:
10.1016/j.lwt.2022.113547

4. Effective stochastic streamflow simulation method based on Gaussian mixture model

Author:
Jianzhong Zhou,   et al.   ; Benjun Jia; Zhengyang Tang; Zhanxing Xu; Xiao Chen; Wei Fang;     Show all 6 Authors
Source:
Journal of hydrology 2022 v.605 pp. 127366
ISSN:
0022-1694
Subject:
algorithms; models; statistics; stream flow; Yangtze River
Abstract:
... Stochastic simulations of streamflow sequences are essential for water resource planning and management. In this study, a new Gaussian mixture model (GMM)-based method is proposed to generate long-term synthetic streamflow sequences of any time scale. First, the GMM model, which is established based on the K-means algorithm, expectation–maximization algorithm, and Akaike’s information criteria, is ...
DOI:
10.1016/j.jhydrol.2021.127366

5. An optimization decision-making framework for the optimal operation strategy of pumped storage hydropower system under extreme conditions

Author:
Jianzhong Zhou,   et al.   ; Baonan Liu; Yanhe Xu; Xinjie Lai; Yousong Shi; Mengyao Li;     Show all 6 Authors
Source:
Renewable energy 2022 v.182 pp. 254-273
ISSN:
0960-1481
Subject:
algorithms; decision making; energy conversion; models; water power
Abstract:
... Frequent condition changes of pumped storage hydropower system make it inclined to stuck in extreme energy conversion process, posing great threats to steady operation. This paper proposes a comprehensive framework to specify optimal operation strategy for admirable transient process under extreme conditions. Three principles consist the framework, the refined model of successive load rejection is ...
DOI:
10.1016/j.renene.2021.09.080

6. Development of Zein/tannic acid nanoparticles as antioxidants for oxidation inhibition of blackberry seed oil emulsions

Author:
Jianzhong Zhou,   et al.   ; Shuangjian Li; Siyuan Li; Minhui Gong; Hongzhi Zhang; Linlin Fan; Xiaoli Liu;     Show all 7 Authors
Source:
Food chemistry 2023 v.403 pp. 134236
ISSN:
0308-8146
Subject:
adsorption; antioxidant activity; blackberries; emulsions; food chemistry; hydrogen; hydrophobicity; lipid peroxidation; nanoparticles; oil-water interface; oxidation; oxygen; pH; seed oils; tannins; thermal stability; zein
Abstract:
... The zein-tannic acid nanoparticles (ZTNPs) were developed as antioxidants for oxidation inhibition of blackberry seed oils. These particles were spherical with an average diameter below 200 nm. The results of structural characterization indicated that tannic acid was bound to zein by electrostatic, hydrophobic, and hydrogen bonding interactions, resulting in the conformational changes of zein. The ...
DOI:
10.1016/j.foodchem.2022.134236

7. Water Balance Calculation Based on Hydrodynamics in Reservoir Operation

Author:
Jianzhong Zhou,   et al.   ; Sipeng Zhu; Shuo Ouyang; Hongya Qiu; Hui Qin; Jingwei Huang; Xinqiang Niu;     Show all 7 Authors
Source:
Water 2022 v.14 no.13 pp. -
ISSN:
2073-4441
Subject:
case studies; hydrodynamics; hydrologic models; rivers; water
Abstract:
... Reservoir operation plays an important role in reservoir management. In reservoir operation, water balance calculation is a very important step. At present, one of the main challenges is that reservoir inflow cannot be calculated accurately due to jacking of the reservoir, which is produced by a downstream reservoir after the original course of the river has changed. Another reason that reservoir ...
DOI:
10.3390/w14132001

8. Can Satellite and Atmospheric Reanalysis Products Capture Compound Moist Heat Stress-Floods?

Author:
Jianzhong Zhou,   et al.   ; Lei Gu; Ziye Gu; Qiang Guo; Wei Fang; Qianyi Zhang; Huaiwei Sun; Jiabo Yin;     Show all 8 Authors
Source:
Remote Sensing 2022 v.14 no.18 pp. -
ISSN:
2072-4292
Subject:
climate; data collection; heat; heat stress; satellites; stream flow; watersheds; China
Abstract:
... Satellite-retrieved and model-based reanalysis precipitation products with high resolution have received increasing attention in recent decades. Their hydrological performance has been widely evaluated. However, whether they can be applied in characterizing the novel category of extreme events, such as compound moist heat-flood (CMHF) events, has not been fully investigated to date. The CMHF refer ...
DOI:
10.3390/rs14184611

9. Inhibition of biofilm formation and quorum sensing by soy isoflavones in Pseudomonas aeruginosa

Author:
Jianzhong Zhou,   et al.   ; Liqing Yin; Yongzhu Zhang; Fidelis Azi; Xiaoli Liu; Yiqiang Dai; Zhe Wang; Mingsheng Dong; Xiudong Xia;     Show all 9 Authors
Source:
Food control 2022 v.133 pp. 108629
ISSN:
0956-7135
Subject:
Pseudomonas aeruginosa; biofilm; food safety; isoflavones; lactones; liquid chromatography; mass spectrometry; soybeans; violacein; virulence
Abstract:
... The potential of soybean isoflavones (SI) as a quorum sensing (QS) inhibitor against Pseudomonas aeruginosa was investigated in the present study. The inhibitory effects of SI on violacein production, biofilm formation, motility, and virulence factor production were evaluated. The acyl-homoserine lactones (AHLs) were quantified by liquid chromatography-mass spectrometry (LC-MS). The QS-related gen ...
DOI:
10.1016/j.foodcont.2021.108629

10. Assessing spatial connectivity effects on daily streamflow forecasting using Bayesian-based graph neural network

Author:
Jianzhong Zhou,   et al.   ; Guanjun Liu; Shuo Ouyang; Hui Qin; Shuai Liu; Qin Shen; Yuhua Qu; Zhiwei Zheng; Huaiwei Sun;     Show all 9 Authors
Source:
Science of the total environment 2023 v.855 pp. 158968
ISSN:
0048-9697
Subject:
Bayesian theory; basins; environment; model validation; neural networks; prediction; stream flow; watersheds; China; Yangtze River
Abstract:
... Data-driven models have been widely developed and achieved impressive results in streamflow prediction. However, the existing data-driven models mostly focus on the selection of input features and the adjustment of model structure, and less on the impact of spatial connectivity on daily streamflow prediction. In this paper, a basin network based on graph-structured data is constructed by consideri ...
DOI:
10.1016/j.scitotenv.2022.158968

11. Multiple Strategies Based Salp Swarm Algorithm for Optimal Operation of Multiple Hydropower Reservoirs

Author:
Jianzhong Zhou,   et al.   ; Hongya Qiu; Lu Chen; Yuxin Zhu;     Show all 4 Authors
Source:
Water 2021 v.13 no.19 pp. -
ISSN:
2073-4441
Subject:
algorithms; case studies; climate change; finance; flood control; issues and policy; swarms; system optimization; water; water power; watersheds; China; Yangtze River
Abstract:
... Reasonable optimal operation policy for complex multiple reservoir systems is very important for the safe and efficient utilization of water resources. The operation policy of multiple hydropower reservoirs should be optimized to maximize total hydropower generation, while ensuring flood control safety by effective and efficient storage and release policy of multiple reservoirs. To achieve this go ...
DOI:
10.3390/w13192753

12. Stepwise decomposition-integration-prediction framework for runoff forecasting considering boundary correction

Author:
Jianzhong Zhou,   et al.   ; Zhanxing Xu; Li Mo; Wei Fang; Hui Qin;     Show all 5 Authors
Source:
Science of the total environment 2022 v.851 pp. 158342
ISSN:
0048-9697
Subject:
basins; environment; flood control; hybrids; loess; neural networks; prediction; resource allocation; rivers; runoff; time series analysis; watersheds; China
Abstract:
... Predicting river runoff accurately is of substantial significance for flood control, water resource allocation, and basin ecological dispatching. To explore the reasonable and effective application of time series decomposition in runoff forecasting, this study proposed a novel stepwise decomposition-integration-prediction considering boundary correction (SDIPBC) framework by using the stepwise dec ...
DOI:
10.1016/j.scitotenv.2022.158342

13. Risk assessment of multireservoir joint flood control system under multiple uncertainties

Author:
Jianzhong Zhou,   et al.   ; Quansen Wang; Ling Dai; Kangdi Huang; Gang Zha;     Show all 5 Authors
Source:
Journal of flood risk management 2021 v.14 no.4 pp. e12740
ISSN:
1753-318X
Subject:
basins; case studies; flood control; risk; risk assessment; risk management; stream flow; watersheds
Abstract:
... Multireservoir joint flood control operation is an important nonstructural measure for flood control in some basins. Owing to the existence of uncertainties in flood control operation, various degrees of risk can be shown in flood control operation systems. Examining these uncertainties and the resulting risk of failure in multireservoir operation systems is extremely beneficial and indispensable ...
DOI:
10.1111/jfr3.12740

14. Supply and Demand Forecasting of Water Resource Coupling System in Upstream Yangtze River under Changing Environmental Conditions

Author:
Jianzhong Zhou,   et al.   ; Sijing Lou; Li Mo; Yongqiang Wang; Wenhao He;     Show all 5 Authors
Source:
Water 2021 v.13 no.5 pp. -
ISSN:
2073-4441
Subject:
basins; climate change; economic threshold; humans; models; runoff; supply balance; surface water; water supply; water utilization; China; Yangtze River
Abstract:
... The upstream Yangtze River is located in the southwest of central China, where it flows through several ecosystems and densely populated regions that constitute a unique complex coupled system. To determine how the characteristics of supply and demand in a water-coupled system will vary under the influence of climate change and human activity in this area in the next 85 years, the upper Yangtze ba ...
DOI:
10.3390/w13050640

15. Operation Rule Derivation of Hydropower Reservoirs by Support Vector Machine Based on Grey Relational Analysis

Author:
Jianzhong Zhou,   et al.   ; Yuxin Zhu; Hongya Qiu; Juncong Li; Qianyi Zhang;     Show all 5 Authors
Source:
Water 2021 v.13 no.18 pp. -
ISSN:
2073-4441
Subject:
case studies; models; support vector machines; water; water power; China; Yangtze River
Abstract:
... In practical applications, the rational operation rule derivation can lead to significant improvements in the middle and long-term joint operation of cascade hydropower stations. The key issue of actual optimal operation is to select effective attributions from the deterministic optimal operation results, however, there is still no general and mature method to solve this problem. Firstly, the join ...
DOI:
10.3390/w13182518

16. Long-Term Scheduling of Cascade Reservoirs Considering Inflow Forecasting Uncertainty Based on a Disaggregation Model

Author:
Jianzhong Zhou,   et al.   ; Xiaoling Ding; Xiaocong Mo; Sheng Bi; Benjun Jia; Xiang Liao;     Show all 6 Authors
Source:
Water resources management 2021 v.35 no.2 pp. 645-660
ISSN:
0920-4741
Subject:
case studies; electricity; markets; models; normal distribution; prediction; uncertainty; water; water power
Abstract:
... Forecasted inflow is one of the most important input information for reservoir operation planning. However, current inflow prediction accuracy is difficult to meet the needs of long-term operation. Therefore, it is of great significance to consider the uncertainty of inflow forecast and study its influence on reservoir operation decisions. In this paper, a long-term scheduling framework considerin ...
DOI:
10.1007/s11269-020-02748-5

17. Structure and main polyphenols in the haze of blackberry wine

Author:
Jianzhong Zhou,   et al.   ; Gang Wu; Gongjian Fan; Xiaoli Liu; Caie Wu; Ying Wang;     Show all 6 Authors
Source:
Lebensmittel-Wissenschaft + Technologie 2021 v.149 pp. 111821
ISSN:
0023-6438
Subject:
Fourier transform infrared spectroscopy; atomic force microscopy; blackberries; crystallization; ellagic acid; fruit wines; high performance liquid chromatography; iron; leaves; nuclear magnetic resonance spectroscopy; phosphorus; polyphenols; red wines; sugars; sulfur
Abstract:
... In this work, the structure of the haze of the blackberry wine and its main polyphenol components was evaluated. The shape of the haze of blackberry wine was observed by scanning electron microscope (SEM) and atomic force microscope (AFM), which revealed the leaf like particles with a thickness of about 2 nm. The formation of haze was associated with the accumulation of these smaller particles (ra ...
DOI:
10.1016/j.lwt.2021.111821

18. System dynamics model for the coevolution of coupled water supply–power generation–environment systems: Upper Yangtze river Basin, China

Author:
Jianzhong Zhou,   et al.   ; Benjun Jia; Yongchuan Zhang; Mengqi Tian; Zhongzheng He; Xiaoling Ding;     Show all 6 Authors
Source:
Journal of hydrology 2021 v.593 pp. 125892
ISSN:
0022-1694
Subject:
Anthropocene epoch; coevolution; dynamic models; economic development; environmental health; humans; hydrology; power generation; water supply; watersheds; China; Yangtze River
Abstract:
... In the emergent Anthropocene, interactions among water supply, power generation, and environment (WPE) systems are increasingly prominent due to the impact of human activity, the understanding of which calls for a holistic and dynamic coevolutionary perspective. Therefore, inspired by the nexus approach, this study investigates these three systems, integrated as a WPE coupling system. This paper a ...
DOI:
10.1016/j.jhydrol.2020.125892

19. Short-term runoff prediction using deep learning multi-dimensional ensemble method

Author:
Jianzhong Zhou,   et al.   ; Guanjun Liu; Zhengyang Tang; Hui Qin; Shuai Liu; Qin Shen; Yuhua Qu;     Show all 7 Authors
Source:
Journal of hydrology 2022 v.609 pp. 127762
ISSN:
0022-1694
Subject:
case studies; model validation; prediction; runoff; water conservation; watersheds; Yangtze River
Abstract:
... Recently, deep learning models have been widely used in water conservancy engineering forecasting problems, due to their excellent ability to deal with the complex interactions between various hydrological factors. However, the existing research mainly focus on model structure adjustment and input feature selection, ignoring the influence of model ensemble on prediction. In this paper, a novel mul ...
DOI:
10.1016/j.jhydrol.2022.127762

20. A Novel Runoff Forecasting Model Based on the Decomposition-Integration-Prediction Framework

Author:
Jianzhong Zhou,   et al.   ; Zhanxing Xu; Li Mo; Benjun Jia; Yuqi Yang; Wei Fang; Zhou Qin;     Show all 7 Authors
Source:
Water 2021 v.13 no.23 pp. -
ISSN:
2073-4441
Subject:
algorithms; flood control; hybrids; power generation; prediction; runoff; time series analysis; watersheds; China; Yangtze River
Abstract:
... Runoff forecasting is of great importance for flood mitigation and power generation plan preparation. To explore the better application of time-frequency decomposition technology in runoff forecasting and improve the prediction accuracy, this research has developed a framework of runoff forecasting named Decomposition-Integration-Prediction (DIP) using parallel-input neural network, and proposed a ...
DOI:
10.3390/w13233390