Levels Of Solar Radiation Research Articles

Diurnal measurements of sound attenuation (100 Hz—10 kHz) in a shallow (1-2 m), seagrass (Zostera marina) meadow are impacted by photosynthetic activity and water column height

Seagrass meadows are important habitats that provide a variety of ecosystem services. As the seagrasses photosynthesize, they fill their vascular tissues with oxygen which is also released as bubbles into the water column. Measurements of sound attenuation were made in August 2022 in a shallow (1–2 m water depth) Zostera marina meadow in Shinnecock Bay, New York. Sound sources included tones (100 Hz–2 kHz) transmitted over an 8hour period (0800–1600 local time) and a 10 kHz Fishtek pinger operating over a 3 day period. Hydrophones were placed in the seagrass meadow at ranges of 1, 3, and 7 m from the source to determine attenuation. Vertical profiles of temperature, salinity, and dissolved oxygen were measured at the study site during the 8 hour tonal source experiment, and solar irradiance and tide level for Shinnecock Bay were obtained for the 3 day study period. Peak to peak sound pressure levels varied by more than 31 dB over a diurnal period for the 10 kHz signals. Sound attenuation of lower frequency tones varied from 9 to 30 dB both with dissolved oxygen (a proxy for photosynthetic activity of the seagrass) as well as water column height.

Impacto da irradiância solar nas trocas gasosas e crescimento de helicônias cultivadas em região semiárida

ABSTRACT Light is essential for providing energy for photosynthetic reactions and has a complex and not yet fully understood effect on heliconia growth and yield. Thus, the objective of this study was to evaluate the effect of light intensity on the growth and photosynthesis of heliconia under semi-arid conditions and to screen potential genotypes tolerant to high solar irradiation levels during the vegetative stage. The experiment was conducted in Petrolina, PE, Brazil, whose geographic coordinates are 09° 19’ 14” S, 40° 32’ 40” W, with an average altitude of 387 m. The experimental design used was in randomized blocks, arranged in a split-plot scheme, and the treatments were composed of two light intensities (full sun and 50% shading) and five genotypes (Heliconia psittacorum x H. spathocircinata cv. Golden Torch; H. psittacorum cv. Red Opal; H. bihai cv. Lobster Claw Two; H. rauliniana and H. rostrata). Growth and gas exchange assessments were conducted on the 100th day after the trial initiation. Light intensity (full sun and 50% shading) did not influence the rates of photosynthesis (A), stomatal conductance (gs), or transpiration (E) of plants. However, the isolated effect of the genotype revealed that plants of cv. Red Opal, H. bihai, H. rauliniana, and cv. Golden Torch had higher values of A, gs, and E. Overall, shading improved plant growth. We conclude that the genotypes H. psittacorum cv. Red Opal, and H. psittacorum cv. Golden Torch exhibited the greatest tolerances to high solar irradiance conditions.

A methodology for indoor testing of solar radiation impact on vehicle cabin temperature

Air conditioning systems for automotive applications are always striving to attain optimal and effective solutions in order to fulfil diverse needs. Yet, to thoroughly evaluate their system performance, it is essential to account for the influence of solar irradiance on the overall thermal dynamic within vehicle cabin. This study presents an approach to simulate the impact of solar radiation on vehicle cabin thermal behaviour using electric blankets as a practical and cost-effective means to replicate solar effects. The methodology combines controlled experimental tests in a climatic chamber with outdoor tests under natural solar irradiance and ambient conditions. A thermal model of the cabin is calibrated and validated using the climatic chamber experiments, demonstrating maximum errors not exceeding 3.5 °C and mean absolute errors (MAEs) below 1.86 °C, showcasing the model's high precision. Based on the results obtained from the model, an exponential function was derived that links the vehicle cabin temperature to solar irradiance. Finally, a heating function is defined, which allows estimating the temperature profile of the electric blankets based on the irradiance values, obtaining results very similar to those of the model, with a coefficient of determination of 0.9486. This will allow to accurately predict and control the internal temperature of a vehicle cabin under varying solar irradiance levels.

A Survey on the Assessment of the Public’s Perception of Solar Energy as an Alternative Energy Source in Dar ES Salaam Tanzania

Abstract: Solar energy is considered to be an alternative sustainable energy source in the urban environment. The main aim of this study is to learn what the general public thinks about solar energy. This study‘s main source of inspiration was the dearth of prior research in the area. The questionnaire were prepared to screen for the prevalence of solar energy system users. In total, 100 36 samples were examined for the purposes of this study. The findings revealed that among the respondents, 36, 3636% currently use 36% currently use solar energy for a variety of reasons, including 50% cost savings, 22% environmental sustainability, 17% solar power reliability, and 11% grid access. The findings show that 64 respondents do not currently use solar energy due to a number of reasons, including We found that out of 100 respondents, 70% were aware of the potential benefits of solar energy and only 30% were not. Our study found that 65 respondents’ families had an income of less than one million TZS per month. Therefore, Based on the results it can be concluded that for the general public in the Dar es salaam region, income was acknowledge as a barrier to switching to solar energy as an alternative energy source. The potential of using solar energy in urban areas is highly dependent on urban morphology which affects the level of solar irradiance received by individual buildings. It leads to inefficient design of neighborhoods in terms of solar energy potential. The present study investigates the potential of exploiting solar energy in Dar es Salaam, Tanzania by using numerical modelling of solar irradiance on building roofs and façades. It is shown that there is substantial solar irradiance received by building roofs in all four study neighborhoods and urban morphology has considerable effects on annual solar irradiance. Solar irradiance of different orientations of tilted roofs and façades is subject to seasonality of the solar azimuth angle. It is suggested that such abundant solar energy sources would provide solutions to accommodate the increasing energy demand and to improve living quality in urban areas due to the rapid urbanization of the city.

Experimental investigation of dynamic wind tower augmented with solar heating unit for improved thermal comfort in buildings during cold conditions

Wind towers have been used in buildings for centuries to harness natural airflow and ventilation. Their usefulness comes from their capacity to absorb wind energy and direct it into interior areas, promoting airflow and exchange. Scientific evidence shows that buildings are a substantial contributor to global warming and energy use. HVAC systems contribute to a significant percentage of this energy demand. In this situation, using wind towers to reduce greenhouse gas emissions is a viable and cost-effective option.In this work, a novel approach of integrating a rotation unit into the wind tower was carried out to enhance the performance. By enabling the wind tower to rotate and align with the direction of maximum wind velocity, the system could optimize the ability to capture the wind lead up to enhanced ACR and improved indoor air quality. This study further incorporates two solar heating units (SHU) to heat the incoming fresh air, which can reduce the thermal load on conventional heating systems.Through comprehensive measurements and analysis, this work studied the performance of the wind tower system under different wind velocities and solar radiation levels. The results showed that the rotation unit (RU) increased the average Air Change Rate by as much as 61%. Due to the incorporation of SHU and RU, the overall average temperature inside the test room increased by 6.09%. Also, the average velocity intake in the wind tower rose by 15–30% due to the RU. The findings discussed in this paper provide valuable insights for architects, engineers, and researchers involved in designing and optimizing ventilation and heating systems, paving the way for more environmentally friendly and comfortable living environments.

Sensible heat thermal energy storage performance of mono and blended nanofluids in a free convective-radiation inclined system

The photothermal conversion performance (PCP) of a nanofluid-based solar energy system is investigated numerically and experimentally. The impacts of particle size, volume concentration, nanoparticle type, base fluid type and collector inclination angle on the PCP are investigated. It is observed that using nanoparticles improves the ability to absorb solar energy. Temperature gain is 2.2, 3.2, 3.8, 4.2, and 9 times better than pure water for water-based Al, Al2O3, Au, Cu, and Graphite mono nanofluids, respectively. Interestingly, blended nanofluids containing the same nanoparticles significantly argument the optical properties, with useful heat enhancement ranging from 62.8 (mono) to 194 kJ/kg (hybrid). However, the collector's inclination angle, which ranges from 0 to 60°, has a negative impact on the PCP by reducing the solar radiation absorption of the nanofluids due to a decrease in the radiation penetrating the collector. Furthermore, as nanoparticle size increases, so does the thermal performance of the nanofluid. An experimental investigation is carried out for pure water and nanofluid at various wind speeds and solar irradiation levels ranging from 1 to 4 m/s and 200–1000 W/m2, respectively, to validate the numerical results.

Real-time photovoltaic energy assessment using a GSM-based smart monitoring system: Addressing the impact of climate change on solar energy estimation software

Climate change is altering weather patterns, leading to increased variability in cloud cover, precipitation, and temperature. These changing patterns make it more challenging to accurately forecast solar radiation levels, which directly impact solar energy generation. This study, evaluates the solar energy potential using a real-time GSM-based communication system combined with an off-grid PV power plant in Tehran and Ahvaz, two regions in Iran with contrasting climates. To measure the output voltage, C++ language programming was used in Arduino_IDE programming language was utilized along with an Arduino Nano board, ATmega328P microcontroller, and sensors for measuring current, voltage, temperature, humidity, and time. The recorded data was sent through short message service. The results were compared with simulations from PVsyst, PVGIS, and the Global Solar Atlas. The findings revealed that the PV power production potential in Tehran, which is characterized by a cold and wet climate, was 4.101 kwh.kwp −1 with a capacity factor of 17.09%. In contrast, Ahvas, with its warm and dry climate, had a potential of 3.271 kwh.kwp −1 and a capacity factor of 13.63%. These values differed significantly from the estimates provided by PVsyst and the Global Solar Atlas. The Global Solar Atlas overestimated the PV potential by 15% and 18.2% in Tehran and Ahvaz, respectively, while PVsyst underestimated it by more than 15% in both locations. The real-time energy production was measured at 246.1 Wh and 196.27 Wh, compared to the estimated values of 283 Wh and 232 Wh from the Global Solar Atlas, 178.36 Wh and 142.63 Wh from PVsyst, and 221.4 Wh and 196.9 Wh from PVGIS in Tehran and Ahvaz, respectively. These results underscore the importance of accounting for recent climate changes when predicting near real-time solar generation, particularly in remote areas and regions that deviate from global trends.

Integrating solar chimney power plant with electrolysis station for green hydrogen production: A promising technique

This paper explores the use of Solar Chimney Power Plants (SCPPs) for the production of green hydrogen as a means to store excess electrical energy generated from renewable energy resources (RESs). The proposed structure produces electrical energy and distilled water by heating the air under the SCPP. The electrolyzer is integrated into the seawater pool and installed at the solar chimney's base. The weather conditions at the proposed location of the SCPP including solar radiation, temperature, humidity, and wind speed, are analyzed to assess their impact on the performance of the SCPP. The potential applications and economic feasibility of the SCPP are discussed, considering its contribution to renewable energy generation and the benefits of hydrogen as a clean energy carrier. The results show that solar radiation levels and favorable temperature profiles play an important role in the performance of the SCPP. The SCPP could produce 380,263 kW h of electrical energy and 139,443 tons of distilled water annually. The results also showed that the SCPP could produce 13,000 kg of green hydrogen and 173,224 kg of oxygen annually. The revenue generated from the production of H2 and O2 has improved the levelized cost of energy (LCOE) for the SCPP to 0.51 $/kWh and made it compete with other energy production facilities. Monthly variations in electrical energy, H2, O2, and distilled water production, highlight the dependence of hydrogen production on solar intensity and temperature. Overall, the research demonstrates the potential of SCPPs and hydrogen production as a sustainable and efficient solution for storing and utilizing excess renewable energy.

Effect of Transplanting Dates on the Paddy (Oryza sativa L.) Cultivar CR Dhan 307 (Maudamani) in Terai Zone of West Bengal, India

Aims: Paddy cultivar, CR Dhan 307 (Maudamani) can enhance paddy productivity due to its heavy panicles and high-density planting adaptability. Date of transplanting is one of the important non-monetary inputs which greatly influence the growth and yield of paddy. The appropriate date of transplanting ensures optimum vegetative growth during the period of satisfactory temperature and solar radiation level. In India, maximum rice farmers are unable to transplant their crop timely, which reduces rice yield significantly and increases total cost of cultivation. This research aimed to study the effect of different dates of paddy transplanting on the performance of CR Dhan 307 (Maudamani) and to find out the optimum date of transplanting in terai zone of West Bengal.
 Study Design: Randomized block design with 4 replications.
 Place and Duration of Study: The experiment was conducted in rabi season, 2017-18 at the instructional farm of Uttar Banga Krishi Viswavidyalaya, Pundibari, Coochbehar, West Bengal.
 Methodology: Five treatments namely transplanting on 2nd January, on 14th January, on 26th January, on 8th February and on 20th February allocated randomly in each replication.
 Results: Paddy transplanted on 26th January provided the maximum increment in almost all the growth attributes on all the dates such as no. of tillers m-2 at 90 DAT (252.77), dry matter accumulation at 90 DAT (1595.20 g m-2) etc. and yield attributes such as no. of panicles m-2 (210.64), no. of grains panicle-1 (280.46), no. of filled grains panicle-1 (233.34) etc. vis-à-vis grain productivity (7.59 t ha-1) and harvest index (44.20%). Highest gross return (Rs. 132825.00 ha-1), net return (Rs. 83336.00 ha-1) and benefit-cost ratio (2.68:1) as well as the incremental benefit-cost ratio (1.68:1) were obtained from the same treatment.
 Conclusion: Paddy transplanting on 26th January can be recommended for the cultivar, CR Dhan 307 (Maudamani) for achieving highest productivity and profitability.

Energy Analysis for Solar-Powered Unmanned Aerial Vehicle under Static Soaring

Endurance is a critical factor for solar-powered unmanned aerial vehicles (SUAVs). Taking inspiration from birds, SUAVs have the ability to harvest extra energy from atmospheric thermal updrafts to extend their endurance. Though recent research has mainly focused on estimating the characteristics of thermal updrafts, there is a noticeable dearth of studies investigating the energy performance of SUAVs during soaring under different conditions. To begin with, this work establishes a thermal updraft and SUAV energy model. In addition, it introduces an integrated guidance and control process to achieve static soaring within thermal for SUAVs. Numerical simulations are implemented to analyze the electric energy performance at different solar irradiation levels, SUAV velocities and thermal strengths. Several remarkable conclusions are drawn from the simulations, which could provide significant insights for SUAVs to further exploit thermal energy.

Substantial gains of renewable energy adoption and implementation in Maan, Jordan: A critical review

Climate change and global warming influenced different global nations. Still, their consequences are noted clearly and increasingly. Scholars investigated revolutional methods and pivotal techniques that could overcome the severe impacts of those problems. Renewable Energy (RE) systems have offered multiple contributory benefits for global communities, meeting broad worldwide acceptance. Some developing areas, like Maan, faced challenging obstacles hindering optimal energy security status. Maan is the largest province in Jordan, located in the southern Jordanian zones. Local citizens still face lower urbanization rates, poor governmental support, and fair economic growth, knowing that Maan is characterized by great and abundant solar irradiation levels (≈ 4 to 7 kW h/m2/day) and nearly 300 sunny days annually. This article conducts a comprehensive review regarding the current trends and future prospects of urbanization levels and RE implementation in Maan. Furthermore, Maan witnessed dramatic population growth lately, reaching 187,600 in 2022, which would drive the province into a worrisome degree of energy security, translated by stressful electricity demands and exhausted energy infrastructure. Renewables adoption in Maan or in any city worldwide could offer feasible energy security solutions and sustainable development on the long-term. The developed framework in this paper comprised valuable strategies for high officials to resolving Maani worrying energy situation.

Short-Term Solar Insolation Forecasting in Isolated Hybrid Power Systems Using Neural Networks

Solar energy is an unlimited and sustainable energy source that holds great importance during the global shift towards environmentally friendly energy production. However, integrating solar power into electrical grids is challenging due to significant fluctuations in its generation. This research aims to develop a model for predicting solar radiation levels using a hybrid power system in the Gorno-Badakhshan Autonomous Oblast of Tajikistan. This study determined the optimal hyperparameters of a multilayer perceptron neural network to enhance the accuracy of solar radiation forecasting. These hyperparameters included the number of neurons, learning algorithm, learning rate, and activation functions. Since there are numerous combinations of hyperparameters, the neural network training process needed to be repeated multiple times. Therefore, a control algorithm of the learning process was proposed to identify stagnation or the emergence of erroneous correlations during model training. The results reveal that different seasons require different hyperparameter values, emphasizing the need for the meticulous tuning of machine learning models and the creation of multiple models for varying conditions. The absolute percentage error of the achieved mean for one-hour-ahead forecasting ranges from 0.6% to 1.7%, indicating a high accuracy compared to the current state-of-the-art practices in this field. The error for one-day-ahead forecasting is between 2.6% and 7.2%.

Diversity and ecological assembly process of aerobic anoxygenic phototrophic bacteria in a low irradiation area, Three Gorges Reservoir

Aerobic anoxygenic phototrophic bacteria (AAPB) are significant bacterial groups in aquatic ecosystems, known for their rapid growth and photoheterotrophic characteristics. However, the distribution and ecological assembly process of AAPB in low irradiation freshwater basins remain unclear, warranting further investigation. In this study, we present the diversity, abundance, spatial variations, ecological process, and community interaction of AAPB in sediment of Three Gorges Reservoir (TGR) under low irradiation. Our findings demonstrate the dominant genera of AAPB community that exist in the TGR area also are appeared in different waters, with some regional preference. Moreover, the concentration of pufM gene, an indicator for AAPB, maintains a consistently high numerical level ranging from (2.21 ± 0.44) × 104 to (9.98 ± 0.30) × 107 gene copies/g. Although solar irradiation is suggested as the major factor affecting AAPB, it remains unclear whether and how AAPB differ between regions due to varying solar irradiation levels. Our results show spatial differences between total bacteria and AAPB communities, with significant differences observed only in AAPB. Geographical and environmental factor contributed less than 10% to the spatial difference of community, with sediment type and environmental factors being the key factors influencing microbial community structure. The stochastic process plays a dominant role in the aggregation and replacement of AAPB communities, among which the most contribution is dispersal limitation. For AAPB network, Yoonia and Gemmobacter are the hubs for modules. Those results valuable insights into the AAPB communities in TGR with low irradiation.

The Impact of Solar Radiation at Different Colombian Thermal Floors on an Adsorption Refrigeration Cycle

The process of energy transition in Colombia has sparked an exploration into appropriate geographical areas for the utilization of solar energy. The country’s rugged terrain and significant climate variability pose challenges for implementing standardized technologies uniformly across all regions. Consequently, this study aims to develop and apply a mathematical model to characterize the performance of a solar adsorption cooling system under the environmental conditions found in six distinct Colombian cities, taking into account different thermal profiles and extreme weather periods such as the El Niño and La Niña phenomena. The selected mathematical model was simulated in these cities, considering ambient temperature and solar radiation variables over a twelve-month period during these extreme weather phenomena and an additional twelve-month period representative of a typical year with minimal influence from these phenomena. The results indicated that despite a lower coefficient of performance (COP) compared to the other cities, Riohacha demonstrated a greater number of ice production days owing to its high levels of solar radiation.

A detailed investigation of an evacuated flat plate solar collector

The evacuated flat plate collector is a pioneering solar device for operation at medium temperatures (<200 °C) with high efficiency and without the need for tracking. The goal of this investigation lies in the detailed parametric analysis of an efficient evacuated flat plate collector and its daily performance for the city of Athens (Greece). The parametric analysis presents the instantaneous thermal and exergy performance of the collector for different inlet temperatures, solar irradiation levels, ambient temperatures, specific mass flow rates and the number of riser tubes. The daily analysis presents results for the thermal and exergy performance of the collector for different daily profiles of solar irradiation and ambient temperatures using real weather data. Also, the main innovation of this study lies in the development of a correlation of the daily useful output by taking into account the operating temperature level, the daily irradiation level and the mean ambient temperature. According to the yearly analysis, the optimum exergy efficiency is found at 13.33% for operation at 125 °C and the respective thermal efficiency is found at 47.24%. For this case, the levelized cost of energy and exergy were calculated at 0.0274 €/kWh and 0.1043 €/kWh respectively.

Comparison between Air-Exposed and Underground Thermal Energy Storage for Solar Cooling Applications

Solar energy is one of the main alternatives for the decarbonization of the electricity sector and the reduction of the existing energy deficit in some regions of the world. However, one of its main limitations lies in its storage, since this energy source is intermittent. This paper evaluates the potential of an underground thermal energy storage tank supplied by solar thermal collectors to provide hot water for the activation of a single-effect absorption cooling system. A simulator was developed in TRNSYS 17 software. Experimentally on-site measured data of soil temperature were used in order to increase the accuracy of the simulation. The results show that the underground tank reduces thermal energy losses by 27.6% during the entire hot period compared with the air-exposed tank. The electrical energy savings due to the reduction in pumping time during the entire hot period was 639 kWh, which represents 23.6% of the electrical energy consumption of the solar collector pump. It can be concluded that using an underground thermal energy storage tank is a feasible option in areas with high levels of solar radiation, especially in areas where ambient temperature drops significantly during night hours and/or when access to electrical energy is limited.

Climate change impact on photovoltaic power potential in South America

Abstract This paper presents the first study of the long-term impact of climate change on photovoltaic potential in South America. This region has great potential for implementing renewable energy, mainly solar energy solutions, due to its high solar irradiance levels. Based on the Coordinated Regional Downscaling Experiment (CORDEX) for the South American region, we estimate how climate change could affect photovoltaic power potential by the end of the century. The evidence suggests that photovoltaic potential could have a maximum decrease of around 15%, and a maximum increase of approximately 7%, primarily due to changes in solar irradiance of different zones. Furthermore, it is observed that regions with increased temperature also show increased solar irradiance levels, which could, to some extent, compensate for the losses caused by the rise in temperature. Therefore, photovoltaic production in most of the territory will not be negatively affected.

Exploring the Synergy of Integration: Assessing the Performance of Hydraulic Storage and Solar Power Integration in Kirkuk city

This research investigates the performance of integrated system combining of hydraulic storage and solar power in Iraq. A photovoltaic-water pumping system was designed to store solar energy in the form of water in tank at a height of 6 mm. The study evaluates the influence of solar radiation level and pumping time in determining the amount of energy stored. During clear days in March, 175 minutes was taken to pump a total of 3400 liters of water in the case of the fixed PV panel, while when using the tracker, the time is reduced to 165 minutes for filling the tank with the same quantity of water due to the increase in the pumping capacity in the case of the tracker. During a cloudy day in the same month, the same quantity of water was pumped in 230 minutes. The stored water was then utilized to generate electricity, with varying flow rates based on the desired power output .The highest produced power was obtained by 42.9 W at a 42 lit / sec water flow rate, and the lowest power obtained by 23.2 W at a minimum water flow rate of 25 lit / sec. Moreover, the system's cost-effectiveness is enhanced by employing a direct current pump which can be used without the need for the inverter or batteries. These findings provide good understanding for the integrating of the hydraulic storage and solar power systems, offering potential solutions for sustainable energy generation in Iraq.

Five Level H-Bridge Configuration Based Microgrid with Sugeno Fuzzy Controller for New Energy Generation from Renewable Systems

Hybrid microgrids run by renewable energy sources are gaining popularity around the world. Solar (PV) and permanent magnet synchronous generator (PMSG) based wind energy systems (WES) are well-known and easy to install renewable energy options. Unfortunately, wind speeds and solar irradiance levels fluctuate unpredictably. Energy generation from both WES and PV panels must therefore fluctuate. Simultaneously, the load is fluctuating irregularly. Hence, storage devices must be incorporated into hybrid systems in order to keep the generation and consumption of electricity in equilibrium. In addition, for a fuel cell and electrolyzer that run on hydrogen, a tiny battery is added into the system to keep costs down. In order to enhance power quality and reliability, all the components in a microgrid need to be connected to an effective energy management system. For optimal use, renewable energy sources are combined with maximum power point trackers. When there are sudden shifts in both the energy supply and demand on a standalone microgrid, the energy balance and frequency response are crucial. In this study, a Takagi Sugeno based innovative fuzzy controller is implemented for a system to manage energy in order to achieve a precious and rapid reaction. The suggested system's Hardware-In-the-Loop is built using OPAL-RT modules in order to demonstrate detailed findings.

Revealing Driving Factors of Urban O3 Based on Explainable Machine Learning

Driven by precursor emissions, meteorological conditions, and other factors, atmospheric ozone (O3) has become the main pollutant affecting urban air quality in summer. The current deductive models driven by physical and chemical mechanisms require a large number of parameters for the analysis of O3 pollution, and the calculation timeliness is poor. The data-driven inductive models are efficient but have problems such as poor explanation. In this study, an explainable model of data-driven Correlation-ML-SHAP was established to reveal the strongly correlated influencing factors of O3 concentration. Additionally, the machine learning ML module coupled with the explainable SHAP module was used to calculate the contributions of driving factors to O3 concentration, so as to realize the quantitative analysis of driving factors. The O3 pollution process in the summer of 2021 in Jincheng City was used as an example to carry out the application research. The results showed that the Correlation-ML-SHAP model could reveal and use strong driving factors to simulate O3 concentration and quantify influence contribution, and the ML module used the XGBoost model to achieve the best simulation accuracy. Air temperature, solar radiation, relative humidity, and precursor emission level were the strong driving factors of O3 pollution in Jincheng City in summer 2021, and the contribution weights were 32.1%, 21.3%, 16.5%, and 15.6%. The contribution weights of air temperature, solar radiation, and precursor emission level increased by 3.4%, 1.2%, and 1.2% on polluted days, respectively, and the contribution weights of precursor emission level rose to third place on polluted days. Each driving factor had a nonlinear interaction effect on O3 concentration. When the air temperature exceeded 24℃, or the relative humidity was lower than 70%, there was a 94.9% and 94.1% probability of positive contribution to O3 pollution, respectively. Under such meteorological conditions, ρ(NO2) exceeded 9 μg·m-3, or ρ(CO) exceeded 0.7 mg·m-3, and there was a 94.9% and 99.3% probability of positive contribution to O3 pollution, respectively. The southeast wind speed was lower than 5.8 m·s-1, or the south wind speed was lower than 5.3 m·s-1, both of which contributed positively to O3 pollution. The model quantitatively analyzed the influence contribution of various driving factors on urban O3 concentration, which could provide a basis for the prevention and control of urban atmospheric O3 pollution in summer.