Jun Yang

Jun Yang


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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10 April 2024 in Energies
Verified
Journal Article
Open access
PDF file
LWLina Wang
Lina Wang
JYJun Yang
Jun Yang
BQBing Qu
Bing Qu
CPChang Pang
Chang Pang
In pursuit of sustainable development and mitigation of the intermittency challenge associated with solar energy, this study proposes a hybrid solar system integrating waste heat incineration alongside solar power generation and distinct heat provision. Leveraging the superior energy efficiency of the organic Rankine cycle (ORC) in medium- and low-temperature scenarios, a parabolic trough collector (PTC) is selected for its cost-effectiveness and long-term operational reliability. Dowtherm A and toluene are identified as the optimal working fluids for the PTC and ORC, respectively. To optimize this complex system, a combination of artificial neural networks (ANNs) and multi-objective optimization via non-dominated sorting genetic algorithm II (NSGA-II) is employed, streamlining the optimization process. Thermal dynamic simulations are executed using Engineering Equation Solver (EES, V11) to validate the proposed system’s performance. TOPSIS is employed to identify the optimal solution from the Pareto frontier. The results indicate that the hourly cost of the system stands at USD 43.08, with an exergy efficiency of 22.98%. The economic analysis reveals that the solar collector constitutes the most significant portion of the total initial cost, representing 53.2%, followed by the turbine, thermoelectric generator (TEG), and waste heat incineration, in descending order of costliness.

11 April 2023 in Analytica
Verified
Journal Article
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NLNa Li
Na Li
SCShimeng Chen
Shimeng Chen
JYJun Yang
Jun Yang
JSJun Song
Jun Song
YSYongxin Song
Yongxin Song
Chlorine-containing disinfectants have been widely used all over the world to prevent COVID-19. However, little is known about the potential risk of chlorine-containing disinfectants in the marine environment. Phaeodactylum tricornutum (P. tricornutum) is a typical marine economic diatom, often used as an effective biomarker in ecotoxicology research. Here, the present study has investigated the effect of different effective chlorine concentrations on photosynthesis of P. tricornutum by chlorophyll fluorescence spectroscopy. Results have demonstrated that chlorine exposure promoted the chlorophyll fluorescence intensity at initial stage (24 h), suggesting that a large amount of energy is emitted in the form of fluorescence. However, the chlorophyll fluorescence intensity could not be detected under the high effective chlorine concentrations (6.7 × 10−3, 1.0 × 10−2, 1.3 × 10−2 and 1.7 × 10−2 mg L−1) after 48 h, indicating that the chlorine had high toxicity leading to the death of microalgae. In addition, the emission spectra of P. tricornutum were determined to contain two distinct fluorescence peaks representing the core antenna of photosystem II (685 nm) and the photosystem I complexes (710 nm) in the control group. The fluorescence emission peak value at 685 nm is significantly lower than the peak value at 710 nm in the control group, whereas chlorine treatments were opposite. It can be concluded that microalgae can regulate the distribution of excitation energy between the two photosystems to ensure that algae can utilize light energy. The result also found that the peak position of fluorescence emission spectra has a blue shift in all of NaClO treatments. The fluorescence intensity of microalgae excited at 467 nm was lower than that at 439 nm in chlorine treatments, illustrating chlorophyll b antenna was more easily damaged than chlorophyll a antenna. Our findings are providing new insights into the changing mechanism of chlorophyll fluorescence on P. tricornutum under chlorine stress and valuable data for risk assessment of marine environments.

29 April 2025 in Water
Verified
Journal Article
Open access
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YYYitong Yuan
Yitong Yuan
JSJun Song
Jun Song
MLMing Liu
Ming Liu
JLJingWen Li
JingWen Li
JYJun Yang
Jun Yang
YZYan Zhang
Yan Zhang
This study seeks to scientifically verify the actual effect of a marine ecological restoration project; according to the problems reflected in the assessment, the ecological restoration project can be corrected in time. This study constructs an assessment index system of marine ecological restoration effect from three aspects of ecological environment, social, and economic benefits, and uses the analytic hierarchy process (AHP) to determine the index weight. Taking the Pulandian Bay ecological restoration project and the Daling River estuary ecological restoration project as examples, the application analysis was carried out. The results showed that the Pulandian Bay project scored 77.18 and the restoration effect was ‘good’, while the Daling River estuary project scored 80.19 and the restoration effect was ‘excellent’. Both achieved the effects of improving the regional ecological environment, improving ecosystem service functions, improving the quality of life of residents, and driving regional economic development. The assessment method adopted not only reflects the impact of ecological restoration on the ecological environment and economic society but also visually displays the benefits of the project, reflecting the contribution of the ecosystem to human well-being, which can provide a reference for the evaluation of similar marine ecological restoration projects.

3 October 2024 in Sustainability
Verified
Journal Article
Open access
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YZYanrong Zhang
Yanrong Zhang
Zengqiang YinZengqiang Yin
Zengqiang Yin
YWYan Wang
Yan Wang
李李李国星 李
李国星 李
DZDawang Zhang
Dawang Zhang
TTTao Tian
Tao Tian
Zooplankton are important food organisms in the marine ecosystem, and their community structure and distribution reflect the productivity of the waters. To investigate the zooplankton structure and the environmental factors affecting ecological niche differentiation in the waters of Tahe Bay, Lushun, a survey was conducted in September 2021 and March, April, and November 2022 in the waters of Tahe Bay. The results showed that there are 31 species representing four phyla, with an annual mean abundance of 12.42 × 103 ind/m3, dominated by Copepoda (13 species, 41.94%), with zooplankton richness indices ranging from 0.83 to 2.44, diversity indices ranging from 0.84 to 2.42, and evenness indices ranging from 0.14 to 0.84. Pearson’s correlation of zooplankton abundance and community diversity with environmental factors, such as water temperature, salinity, dissolved oxygen, NH3-N, and NO3-N, was significant in the waters of Tahe Bay. There were 13 dominant species, mainly consisting of broad-niche species, among which Oithona similis was the dominant species in all four seasons; the degree of niche overlap of the dominant species was related to the seasons, with a serious niche overlap accounting for 81.0% in September 2021, and there was no niche overlap in March 2022; 33.3% of the species had a severe ecological niche overlap in April 2022, with a serious niche overlap accounting for 86.7% in November 2022. The results of redundancy analysis (RDA) indicated that water temperature, salinity, DO, and DIP are the main environmental factors affecting the ecological niche differentiation of the dominant species of zooplankton.

19 May 2025 in Sustainability
Verified
Journal Article
Open access
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彦宋彦臻 宋
彦臻 宋
YFYanzhao Fu
Yanzhao Fu
JSJun Song
Jun Song
JYJun Yang
Jun Yang
YWYahe Wang
Yahe Wang
GRGuo jun Ru
Guo jun Ru
Seagrass beds provide essential ecosystem services, such as habitat for marine life, water quality purification, carbon sequestration, and climate regulation. For the Changshan Archipelago, which relies heavily on marine resources, the growth and development of seagrass beds are key factors affecting aquaculture. This study is based on data collected from a survey conducted in the nearshore waters of the Changshan Archipelago in August 2022, encompassing seagrass distribution and water sample data. The water samples were analyzed for various parameters, including salinity, suspended solids, pH, dissolved oxygen, sea temperature, nitrite-nitrogen, nitrate-nitrogen, and ammonia-nitrogen concentrations. A habitat suitability assessment of the seagrass beds in the Changshan Archipelago was conducted. The study calculated the suitability index for each environmental variable based on the abundance index, and then established a Habitat Suitability Index model using a weighted allocation method. The results indicate that the seagrass bed area in the study region is primarily composed of excellent and suitable habitats. The concentration of inorganic nutrients is a key factor influencing seagrass growth. The HSI model not only identifies the hierarchical distribution of habitats in seagrass areas, but also detects potential suitable habitats for seagrass. This provides scientific reference for future seagrass bed resource protection and artificial cultivation efforts.

8 June 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
JLjiaxing Li
jiaxing Li
Zengqiang YinZengqiang Yin
Zengqiang Yin
JYJun Yang
Jun Yang
LCLei Chen
Lei Chen
MXMin Xu
Min Xu
TTTao Tian
Tao Tian
To investigate the fishery community structure in spring at the early stage of construction of Tangshan Marine Ranching, in China. This study analyzed the relationship between species composition, diversity and community structure of fishery resources in marine ranching using survey data from March, April, and May 2017. The results showed that a total of 53 species of organisms occurred in the spring in the waters inside and outside the reef area of the marine pasture. Among them, 20 species of fish were among the chordates. 16 species of arthropods, including 6 species of shrimps and 8 species of crabs. Ten species of mollusks, including 6 species of snails. 5 species of echinoderms, 1 species of annelids, and 1 species of Cnidaria). The diversity index, evenness index and richness index outside the reef area of marine ranching in spring were greater than those in the reef area. According to cluster analysis and non-metric multidimensional scale ranking analysis, the biological communities inside and outside the reef area can be divided into four groups, with the similarity of the communities in the reef area being greater. The Abundance-Biomass Comparison curves (ABC curve) indicated that the biological communities within and outside of the reef had been moderately disturbed. The relative importance index and niche analysis demonstrated that there had been sufficient bait in the reef area, and the ecological structure of the marine ranching was taking shape.