Jinyong Zhao

Dr. Jinyong Zhao


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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YDYang Ding
Yang Ding
FDFei Dong
Fei Dong
Jinyong ZhaoJinyong Zhao
Jinyong Zhao
WPWen-Qi Peng
Wen-Qi Peng
QCQuchang Chen
Quchang Chen
BMBing Ma
Bing Ma
Non-point source (NPS) pollution simulation in control units can identify critical pollution source areas and make Best Management Practices (BMPs) more effective for the responsible parties. In this study, the control unit division method is introduced, and the spatial and temporal distribution characteristics of NPS pollution in the Guishui River Basin of Northern China are analyzed using the Soil Water Assessment Tool (SWAT) model. In addition, five BMP scenarios were designed for environmental and cost-benefit analyses. The results show that the loss of total nitrogen (TN) and total phosphorus (TP) is concentrated in the rainy season, and the loss of TN and TP is mainly distributed in the middle and lower reaches of the main stream of the Guishui River. This area accounts for 22.34% of the basin area. The vegetated filter strips (VFS) scenario had the best environmental benefits with average TN and TP reduction efficiencies of 63.4% and 62.6%, respectively. The Grassed Waterway was the most cost-effective scenario measure, cost-benefit (CE) values of TN and TP were 1798.13 g/€ and 601.56 g/€. Generally, research on NPS pollution using control units can more clearly identify the critical source areas of pollution than other methods, and provides technical support for watershed management decision makers.

16 May 2022 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
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JHJi-Kun Han
Ji-Kun Han
Jinyong ZhaoJinyong Zhao
Jinyong Zhao
JWJun Wei
Jun Wei
WMWen-Yuan Meng
Wen-Yuan Meng
QWQi Wang
Qi Wang
HZHeng Zheng
Heng Zheng

9 January 2025 in Sustainability
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Journal Article
Open access
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SFShuo Feng
Shuo Feng
HWHongtao Wang
Hongtao Wang
JZJing Zhang
Jing Zhang
XZXianfu Zhao
Xianfu Zhao
Jinyong ZhaoJinyong Zhao
Jinyong Zhao
QCQuchang Chen
Quchang Chen
Tributaries flowing naturally play an important role in maintaining the biodiversity of aquatic organisms in dammed rivers. The Chishui River is currently the only undeveloped first-level tributary and an important habitat for aquatic organisms in the upper reaches of the Yangtze River. Understanding the distribution of the community structure of macrobenthos in the Chishui River and its influencing factors is crucial for the conservation and restoration of aquatic biodiversity in both the Chishui River and the Yangtze River. This study analyzes the community structure characteristics of macrobenthos in the Chishui River using four indicators, i.e., Margalef richness index, EPT taxon richness (the number of taxa in the pollution-sensitive Ephemeroptera, Plecoptera, and Trichoptera), Simpson dominance index, and Shannon diversity index, examining differences among different types of environmental factors (physical, chemical, and biological) in the upper, middle, and lower reaches. Subsequently, RDA (Redundancy Analysis) is used to analyze the main influencing factors of different types of environmental factors on macrobenthic community structure. VPA (Variance Partitioning Analysis) is employed to assess the relative importance of different types of environmental factors and their joint effects on the characteristics of macrobenthic community structure. The results indicate that physical environmental factors explain 68.7% of the variation in macrobenthic community structure indicators, chemical environmental factors explain 79.3%, and biological environmental factors account for 36.2%. The interaction among chemical, biological, and physical factors is the most significant explanatory variable, accounting for 41.7% of the variation in macrobenthic community structure characteristics. For EPT taxon number and Shannon diversity index, the interaction among chemical, biological, and physical factors is also the most important explanatory variable, accounting for 42.1% and 42.5% of the variation. For the Margalef richness index and Simpson dominance index, the interaction between chemical and physical factors is the most significant, accounting for 45.0% and 85.3% of the variation. Therefore, the impact of multiple environmental factors on aquatic organisms should not be overlooked, and attention should be paid to the contributions of various environmental factors in the conservation of macrobenthos in the Chishui River Basin.

1 January 2021 in Landscape Architecture Frontiers
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Journal Article
Closed access
Jinyong ZhaoJinyong Zhao
Jinyong Zhao
The status of water ecological environment matters to the well-being o...

1 January 2019 in Landscape Architecture Frontiers
Verified
Journal Article
Closed access
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YDYang Ding
Yang Ding
Jinyong ZhaoJinyong Zhao
Jinyong Zhao
WPWenqi Peng
Wenqi Peng
JYJunbo Yan
Junbo Yan
JFJian Feng
Jian Feng

1 January 2026
Verified
Journal Article
Open access
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ZDZheren Dong
Zheren Dong
DSDongya Sun
Dongya Sun
Jinyong ZhaoJinyong Zhao
Jinyong Zhao
JZJing Zhang
Jing Zhang
AZAijing Zhang
Aijing Zhang
QWQi Wang
Qi Wang
自董哲仁2003年提出生态水工学理论框架以来,我国在生态水工学相关研究和实践方面取得了重大进展,基本形成了完整的学科体系。本文从发展历程、理论体系与技术方法、实践应用三个方面,系统总结了二十多年来生态水工学的主要进展,梳理了其由初期阶段到日臻完善的发展脉络。生态水工学开创了“工程-生态”交叉融合研究的新范式,形成了理论框架-模型方法-基本准则-技术工具-管理平台的完整方法论体系,构建了水利水电工程生态影响机理分析模型,形成了水生态系统全要素、多尺度调查评价方法,构建了矩阵式河流生态状况分级系统,建立了水生态修复规划设计准则及技术体系,研制了河流廊道立体式、自然化生态修复工具箱,提出了兼顾生态保护的水库调度方法,研发了河湖水系连通性改善技术,构建了河流生态修复适应性管理决策支持系统。最后对生态水工学未来发展进行了展望,建议在智能化、韧性化、长效化等方面进一步深化研究实践。生态水工学为缓解传统水利工程带来的生态负效应提供了理论框架和方法论支撑,对推动人与河流和谐共生具有重大意义。