Industrial Park Research Articles

Experimental investigation of photoelectrical performance and thermal characteristics of ventilated building-integrated photovoltaic system utilizing lightweight and flexible crystalline silicon module

The existing large-scale of industrial buildings with lightweight insulated roofing structures presents a challenge for traditional glass crystalline silicon photovoltaic (PV) systems due to insufficient load-bearing capacity. Meanwhile, traditional PV rooftop applications also face challenges due to limited rooftop resources. To address these issues, this study proposes a ventilated building-integrated lightweight photovoltaic (VL-BIPV) system. The VL-BIPV system incorporates lightweight and flexible crystalline silicon modules, which increase rooftop load by about 6 kg/m2. Additionally, the system features a ventilation channel design to enhance thermal management performance. To evaluate the PV performance and thermal characteristics of the proposed system, an experimental setup was implemented to compare the performances of the VL-BIPV system with a building-attached lightweight photovoltaic (L-BAPV) system that utilizes color steel sheet base plates. The results demonstrate the exceptional performance of VL-BIPV system, with a 100.56% higher ratio of the product of short-circuit current and open-circuit voltage compared to L-BAPV. Moreover, the VL-BIPV system achieved a 1.77% increase in PV efficiency and a 2.35% enhancement in daily electricity generation. In hot weather, the adoption of VL-BIPV reduced the extreme temperature of PV cells by 9.23 °C below 85 °C, surpassing the 6.29 °C reduction achieved by L-BAPV system. Furthermore, the ventilation channel exhibited a gradual temperature increase with slower changes in the flow direction, while the base plate temperature decreased by 13.41 °C, which indicates that VL-BIPV can effectively reduce solar heat gain in the building envelope and improve the indoor thermal environment. The research findings provide important guidance for promoting and applying VL-BIPV technology in large-scale industrial buildings with low rooftop load-bearing capacity, thereby promoting the production and utilization of clean electricity in industrial parks.

Source Governance-Oriented Zoning for Heavy Metal Pollution in Farmland Soil: a Case Study of an Industrial Park in Mid-Western Shaanxi Province, China

Source Governance-Oriented Zoning for Heavy Metal Pollution in Farmland Soil: a Case Study of an Industrial Park in Mid-Western Shaanxi Province, China

Emission reduction effect of low-carbon power generation and heating systems in industrial areas based on collaborative benefit evaluation

To predict the future emission trends of various pollutants, a greenhouse gas calculation system is studied and the emissions of various pollutants are calculated. Then, an energy-saving supply curve is used to evaluate the economic feasibility of a certain technology. In addition, this study also utilises a synergistic effect analysis strategy and designs emission reduction target scenarios for 2030 based on spatial regression. These scenarios include energy structure adjustment, energy efficiency improvement, waste heat recovery, and end-of-life governance. The results showed that in the next decade, the emissions of CO2, NOx, CO, SO2, PM10, PM2.5, VOCs, and NH3 in industrial parks would continue to increase. The emission of CO2 was expected to reach 289,866,000 tons. Under the four emission reduction goals, the ‘energy efficiency improvement’ scenario had the most significant reduction effect on greenhouse gases and atmospheric pollutants, with CO2 emissions reduced by 103,251,000 tons and atmospheric pollutants reduced by 16,900 tons. This study suggests that industrial parks choose the most suitable emission reduction strategy based on the advantages of each emission reduction target scenario, in order to achieve better environmental effects.

Realizing low-carbon development of industrial parks in China: Model construction and its application

As the main energy consumption and emission area, carbon emission reduction for industrial parks is a pivotal target for China. In this study, a multi-objective optimization model was established to quantitatively develop low-carbon development strategies for industrial parks that simultaneously considers land productivity, energy structure and efficiency, carbon emissions, and industrial structure optimization. A Monte Carlo method was adopted to investigate the uncertainties associated with emission-reduction technologies and economic development. A study on an industrial park showed that with the implementation of a series of fossil energy-saving measures, the percentage of clean energy in the park is projected to reach 62.6–72.2 %, while the percentage of output from energy-intensive enterprises relative to the total output of the industrial park decreases from 3.78 % in the baseline year to 1.74–3.29 %, and carbon emissions are projected to decrease by 69–85.4 % relative to the benchmarking scenario. This implies that the model developed in this study is effective and can serve as a roadmap for designing industrial parks to realize low-carbon development.

Hindrance or facilitator? The economic consequences of national demonstration eco-industrial parks in China.

Many countries attach great importance to the green, low-carbon, and circular development of industrial parks. China is one of them and has entered an exploration journey of national demonstration eco-industrial parks (NDEIPs). However, the impact of the transformation of industrial parks into NDEIPs on local economic development still remains a mystery. To address this issue, we develop an empirical study using a combination of the multi-period difference-in-differences method and the propensity score matching method based on the panel data for 266 cities in China from 2001 to 2021. The results show that industrial parks becoming NDEIPs promotes cities' economic development. This conclusion still holds after a series of robustness tests, such as the reverse causality test and the placebo test. Moreover, the park heterogeneity tests show that the economic consequences vary according to differences in levels, industry types, life cycle phases, and the degree of foreign firm agglomeration. The city heterogeneity tests show that the economic consequences differ based on administrative levels, innovation capabilities, technology industrialization, and environmental friendliness. The spatial heterogeneity tests show that the economic consequences differ according to geographical location and whether situated in the Yangtze River Economic Belt. The policy upgrading heterogeneity tests show that the economic consequences differ during the process of policy upgrading and transformation. In addition, the mechanism tests reveal that green innovation, human capital level, and firm attractiveness mediate the relationship between industrial parks becoming NDEIPs and cities' economic development. This study provides a new perspective for understanding the economic effects of the transformation of industrial parks into NDEIPs, and provides a reference for the government on how to maximize these economic effects.

Observation-Based Ozone Formation Rules by Gradient Boosting Decision Trees Model in Typical Chemical Industrial Parks

Ozone pollution in chemical industrial parks is severe and complicated and is significantly influenced by pollutant emissions and meteorological parameters. In this study, we innovatively investigated the formation rules of ozone by using observation-based analyses and a gradient-boosting decision tree (GBDT) model, focusing on a typical chemical industrial park located in the Yangtze River Delta of China. The results revealed that ozone concentration was positively correlated with temperature while negatively correlated with NO2 concentration and relative humidity (RH). Ozone pollution was predominantly observed from April to October (M4–10). The optimized GBDT model was subsequently utilized to establish a specific and quantifiable relationship between each single dominant impact factor (RH, NO2, temperature, and PM2.5) and ozone within a complex and uncertain multi-factor context during M4–10. Detailed discussions were conducted on the reaction rate of ozone-related to different levels of RH and temperature. The accumulation of ozone was favored by high temperature and low RH, with the maximum ozone concentration observed at the RH of 50% and the temperature of 35 °C. The NO2-O3 change curve exhibited distinct phases, including a period of stability, gradual increase, rapid increase, and equilibrium. During the second and third periods, the ratio of ozone production to NO2 consumption was 0.10 and 2.73, respectively. Furthermore, there was a non-monotonic relationship between variations in ozone concentration and PM2.5 concentration. Hence, it is imperative to implement fine control strategies in the park, such as adopting seasonal production strategies, implementing targeted measures for controlling NOx and active VOCs, and employing special control methods during periods of high temperature. This study provides aid in achieving effective management of localized ozone pollution and ensuring compliance with air quality standards.

Transformation and Degradation of PAH Mixture in Contaminated Sites: Clarifying Their Interactions with Native Soil Organisms.

Soil contamination of polycyclic aromatic hydrocarbons (PAHs), especially caused by the mixture of two or more PAHs, raised great environmental concerns. However, research on the migration and transformation processes of PAHs in soils and their interactions with native communities is limited. In this work, soil samples from uncontaminated sites around the industrial parks in Handan, Hengshui, and Shanghai were artificially supplemented with three concentrations of anthracene (Ant), 9-chloroanthracene (9-ClAnt), benzopyrene (BaP), and chrysene (Chr). Ryegrass was planted to investigate the degradation of PAHs and its interaction with native soil organisms in the constructed ryegrass-microbe-soil microcosmic system. The bacterial and fungal communities in soil were affected by PAHs; their species diversity and relative abundance changed after exposure to different concentrations of PAHs, among which Lysobacter, Bacillus, Pseudomonas, and Massilia bacteria were correlated to the degradation of PAHs. On the 56th day, the contents of BaP, Chr, and Ant decreased with the degradation process, while the degradation of 9-ClAnt was limited. Nineteen intermediates, including hydroxylation and carboxylated compounds, were identified. The present research would help clarify the potential interactions between PAHs and native organisms in contaminated sites, providing fundamental information for evaluating the transformation risks of PAHs in the natural environment.

Optimizing Business-to-Business Customer Satisfaction Analysis through Advanced Two-Stage Clustering: Insights from Industrial Parks

Optimizing Business-to-Business Customer Satisfaction Analysis through Advanced Two-Stage Clustering: Insights from Industrial Parks

Pollution characteristics and risk assessment of organophosphate esters (OPEs) in typical industrial parks in Southwest China.

As alternative substances of PBDEs, organophosphate esters (OPEs), an emerging organic pollutant, were increasingly produced and used in many kinds of industries and consumer products. However, OPEs also have various adverse toxic effects. Information on the pollution levels and exposure to OPEs in related industries is still limited. This study presented data on OPE contamination in the soil, leaf, and river water samples from seven typical industrial parks in Southwest China. Total concentration of seven OPEs (Σ7OPE) including tri-n-butyl phosphate (TnBP), tris-(2-ethylhexyl) phosphate (TEHP), tris-(2-butoxyethyl) phosphate (TBEP), tris-(2-carboxyethyl) phosphine (TCEP), triphenyl phosphate (TPhP), tris-(1,3-dichloro-2-propyl) ester (TDCPP), and tris-(chlorisopropyl) phosphate (TCPP) in the soil samples (36.2 ~ 219.7 ng/g) and the surrounding river water samples (118.9 ~ 287.7 ng/L) were mostly lower than those in other studies, while the Σ7OPE level in the leaves (2053.3 ~ 8152.7 ng/g) was relatively high. There were significant differences in the concentration and distribution of OPEs in the surrounding environment of different industrial parks. TDCPP, TnBP, and TCPP could be used as the characteristic compound in soil samples from auto industrial park, river samples from shoe making industrial park, and leaf samples from logistics park, respectively. The parameter m (the content ratio of chlorinated OPEs to alkyl OPEs) was suggested to distinguish the types of industrial park preliminary. When m ≥ 1, it mainly refers to heavy industries sources such as automobiles, electronics, and machinery, etc. When m<1, it mainly for the light industrial sources such as textile industry, transportation services, and resources processing, etc. For logistics park, furniture park and Wuhou comprehensive industrial park, the volatilization of materials was the main sources of OPEs in the surrounding environment, while more effort was required to strengthen the pollution control and management of the waste water and soil in the pharmacy industrial park, shoe making industrial park and auto industrial park. Risk assessment showed that there was a negligible non-cancer and carcinogenic risk in the soil, while high attention should be paid to the non-cancer risk for children.

Risk-averse electrolyser sizing in industrial parks: An efficient stochastic-robust approach

Hydrogen is called to be one of the most important energy vectors in future energy systems. Nowadays, its use in the industry sector is prominent, finding multiple applications in fertilizer production or oil refining. In this sense, some industry sectors demand a considerable amount of hydrogen for their processes. In many cases, hydrogen must be purchased externally, which supposes a challenge due to hydrogen transportation is costly and few efficient. In this context, local hydrogen production through mature electrolysis technology may suppose an attractive alternative in industrial parks. This paper focuses on this topic, in particular, a risk-averse electrolyser sizing methodology is developed. The new approach accounts for uncertainties in electricity prices as well as local renewable generation and demand through an original hybrid stochastic-robust model. The developed uncertainty modelling is integrated into a novel four-level optimization framework, whose main result is the optimal electrolyser rated power. To efficiently attain the solution, an original hybridization of the Benders' decomposition and the Column and Constraint Generation Algorithm is proposed. The developed methodology results efficient in an illustrative three-industry park, showing that installing local hydrogen generation may reduce the amount of hydrogen purchased externally (by 38%) and project costs by 2.5%. Furthermore, increasing the robustness level leads to increase the project cost by 8%, while assuming unfavourable realization of uncertainties. Moreover, the developed tool is further validated in larger parks, involving an increasing number of industries, showing that the proposed methodology scales well with the size of the park.

Investment Strategy and Benefit Analysis of Power and Heat Hybrid Energy Storage in Industrial Parks Based on Energy Performance Contracting

To solve the problems of a single mode of energy supply and high energy cost in the park, the investment strategy of power and heat hybrid energy storage in the park based on contract energy management is proposed. Firstly, the concept of energy performance contracting (EPC) and the advantages and disadvantages of its main modes are analyzed, and the basic scheme of EPC for parks is proposed combined with the actual demand. Furthermore, the multiple energy storage model for power and heat storage in parks is established, which includes lithium batteries and heat storage tanks. Based on this, minimizing the annual operation cost of parks is taken as the optimization goal, and the capacity optimization model for power and heat storage is constructed, which considers the investment costs, operation and maintenance costs, purchased energy costs, peak-shaving subsidy, and environmental subsidy. Finally, an industrial park is selected as an example of EPC to verify the effectiveness of our proposed investment strategy. The results show that compared with the situation before the energy-saving renovation, the park can save 35.14 ten thousand CNY in annual cost expenses. When the unit power price of the lithium battery exceeds 3900 CNY/kW, the unit capacity price exceeds 5460 CNY/kWh, the unit power price of the heat storage tank (HST) exceeds 6000 CNY/kW, and the unit capacity price exceeds 1000 CNY/kWh, the configuration of the lithium battery and HST in the park is no longer the optimal choice to perform the energy-saving renovation.

The association between metal exposure and body mass index of preschool children of Shaanxi, China

There are few studies on the association between polymetallic exposure and obesity in preschool children, and the conclusions are inconsistent. The study aimed to explore the association between urine metals and body mass index (BMI). For 342 preschool children in the industrial park of Shaanxi, China, uniformly trained investigators collected basic information of preschoolers and measured height and weight. Morning urine were collected, and BMI were calculated. We measured concentrations of 22 urine metals by quadrupole inductively coupled plasma-mass spectrometry (ICP-MS).The least absolute shrinkage and selective operator (LASSO) regression model was used to screen urine metals larger impact on BMI. In the polymetallic exposure model, generalized linear regression was used to explore the relationship between the selected urine metals and BMI. The overall relationship between urine metals and BMI was analyzed using restricted cubic spline (RCS). The interaction method was used to explore the influence of metal-metal interaction on BMI. After adjustment for covariates, ln-transformed urinary copper (Cu) levels and urinary molybdenum (Mo) levels were negatively associated with BMI, (Cu, β=−1.219, 95% CI: −2.047, −0.391, P<0.05; Mo, β=−0.797, 95% CI: −1.508, −0.087, P<0.05). Polymetallic model showed similar results. Both ln-transformed urinary Cu levels and urinary Mo levels were negatively correlated with BMI (Cu: β=−1.556, 95% CI: −2.488, −0.624, P<0.05; Mo: β=−0.915, 95% CI: −1.817, −0.013, P<0.05). The results of RCS visually demonstrate that Cu and BMI are non-linearly correlated (Ptotal < 0.001, Pnonliearity = 0.005), Mo and BMI are linearly correlated (Ptotal < 0.05, Pnonliearity = 0.099) Urinary Cu was negatively correlated with BMI nonlinearly in preschool children, and there was a borderline interaction between urinary Mo and Cu levels.Further researches are needed to validate these associations and reveal underlying mechanisms

An integrated uncrewed aerial vehicle platform with sensing and sampling systems for the measurement of air pollutant concentrations

Abstract. In this study, an uncrewed aerial vehicle (UAV) platform with sensing and sampling systems was developed for three-dimensional (3D) measurements of air pollutant concentrations. The sensing system of this platform contains multiple microsensors and Internet of Things devices for determining the 3D distributions of four critical air pollutants and two meteorological parameters in real time. Moreover, the sampling system comprises remote-controllable gas sampling kits, each of which contains a 1 L Tedlar bag for the 3D measurement of volatile organic compound (VOC) concentrations according to the Toxic Organics-15 (TO-15) method of the US Environmental Protection Agency. The performance of the developed UAV platform was verified in experiments where it was used to detect air pollutant emissions from a large industrial zone in Taiwan that included a traditional industrial park, a precision machinery park, and a municipal waste incineration plant. Three locations were selected as field measurement sites according to the prevailing local wind direction. The vertical distributions of four critical air pollutants, the ambient temperature, and the relative humidity were determined from data gathered at the aforementioned sites in March and May 2023. A total of 56 and 72 chemical species were qualitatively and quantitatively analyzed in these two periods, respectively. The experimental results verified the feasibility of using the proposed UAV platform for accurately evaluating the air pollutant concentration distribution and transport in an industrial zone. The sampling system can be used as the sampling part of the TO-15 method, thus extending the method to measure the 3D distribution of VOCs in an area. The UAV platform can serve as a useful tool in the management of and decision-making process for air pollution in industrial areas.

The impact of Chinese overseas industrial parks on the productive capability of BRI host countries

Overseas industrial parks (OIPs) offer platforms to host countries for foreign and domestic company agglomeration in key industries to promote economic development. This study examined 123 Chinese OIPs in “Belt and Road Initiative” (BRI) countries to study the productive effects in the host countries for a sample period of 2010 to 2018. It was found that Chinese OIPs, especially high-tech, logistics, multi-sector and state-owned ones, significantly increased local productive capabilities through trade promotion and employment generation. Host countries with higher level of governance, business environment, finance, transport, and bilateral investment protection had more pronounced effects. This paper provides evidence for China's industrial park spillovers and insights into the internationalization performances of developing economies.

Финансирование промышленных парков

In the article, the authors address the issue of financing industrial parks. The authors of the article point out the need to provide subsidies for the creation of technology and industrial parks only to regions with a low level of socio-economic development, with mandatory private co-financing. The authors indicate that industrial parks, within the framework of the provided federal budget funds, will receive funding from 11 constituent entities of the Russian Federation for the creation of 14 parks for a total amount of 5,7 billion rubles. The purpose of the study is to provide ready-made infrastructure, which is a way to stimulate the development of new industrial projects. The article discusses the experience of the creators of industrial infrastructure. The authors consider five projects that took the top positions in the funding ranking: Kurgan region (industrial park “Stalmontazh”), Republic of Karelia (technopark “Onezhsky”), Republic of Khakassia (industrial park “Tasheba”), Novgorod region (industrial technology park “Transvit”), Altai Territory (industrial technology park “Component”). As a result of the implementation of the event, it is planned to create at least 20 industrial parks and technology parks by 2024, which will accommodate at least 150 residents and create 1,5 thousand jobs. The volume of investments of management companies in the implementation of new projects in 2023–2024 will be at least 3 billion rubles. The newly created areas of these parks accommodate at least 680 residents, who have created more than 9 thousand jobs. The article discusses an example of launching production using the example of industrial parks in the Nizhny Novgorod region. The implementation of the group’s strategy continues to develop industrial competence centers specializing in the localization of key technological solutions. For the Sollers and UAZ model range, localization of power units will ensure increased competitiveness and increased production volumes.

Qualitative Study on Corporate Social Responsibility Practice and Wellbeing in Industrial Parks: Evidence from Selected Industrial Parks in Ethiopia

The study's main objective is to understand the development of internal and external CSR in industrial parks and explore its relationship with employees and community well-being. This study employed an exploratory research approach. The study relies on semi-structured interviews and FGD with employees and the community of three selected industrial parks in Ethiopia. The study utilized thematic analysis and the NVivo-11 version for the analysis. The results show that various CSR practices are implemented in industrial parks. There is a positive relationship between most CSR practices and well-being, except for insurance, employment, and infrastructure. Moreover, the study explored some CSR activities specific to IPs, i.e., meal service, dormitory, transportation, and consumer cooperatives. Besides the knowledge contribution, the study has a practical contribution to industrial park managers, government agencies, policymakers, and multinational companies to practice CSR better as it enhances the employees' and community's well-being. This study is unique not only because it explored CSR practices that are specific to industrial parks, but also the relationship between internal and external CSR with employees' and community well-being, respectively.

Neuronal nitric oxide synthase is the main isoform responsible for 6-nitrodopamine release from mouse isolated vas deferens

Rat and human vas deferens (VD) present basal release 6-nitrodopamine (6-ND), which is significantly reduced when the VD is pre-incubated with the nitric oxide (NO) synthase inhibitor L-NAME, or in the case of the rat, when the VD was obtained from rats chronically treated with L-NAME. 6-Nitrodopamine is considered a major mediator of both rat and human VD contractility. Since the origin of 6-ND is not clear in the VD, here it was investigated the basal release of 6-ND from control, eNOS−/−, nNOS−/− and iNOS−/− mice VD to ascertain which NOS isoform(s) play(s) an essential role in 6-ND biosynthesis in the mouse VD. Euthanasia was performed by isoflurane overdose and both VD were removed and immediately placed in Krebs-Henseleit solution (KHS). The release of 6-ND was measured by LC-MS/MS. To evaluate contractility, the mice VD strips were submitted to EFS (60 V for 20 sec, at 2-16 Hz in square-wave pulses, 0.3 ms pulse width, and 0.1 ms delay), using a Grass S88 stimulator (Astro-Medical, Industrial Park, RI, USA). The tissues were allowed to equilibrate under a resting tension of 10 mN, and the isometric tension was registered using a PowerLab system. Isolated VD from control, nNOS−/−), eNOS−/−, and iNOS−/− mice present basal release of both 6-ND and dopamine, as detected by LC-MS/MS. The basal release of 6-ND from isolated VD of nNOS−/− mice was significantly reduced when compared to that obtained from control mice VD, whereas that of dopamine was significantly increased. The basal release of both 6-ND and dopamine from eNOS−/− mice VD was not different compared to that obtained from control mice VD. The basal release of 6-ND from iNOS−/− mice was significantly increased compared to that observed in control mice VD. Electric-field stimulation (EFS) caused frequency-dependent (2Hz - 32Hz) contractions of the mouse isolated VD. The contractions induced by EFS were significantly decreased in nNOS−/− mouse isolated VD, but unaltered in isolated VD obtained from either eNOS−/− or iNOS−/− mice. The results clearly demonstrate that neuronal nitric oxide synthase is the main isoform responsible for 6-ND synthesis/release from mouse isolated VD. The results obtained with the contractions induced by EFS in the mouse VD further support the concept that 6-ND is a major modulator of VD contractility, since the contractions of the VD was only reduced in tissue obtained from nNOS−/− mice. The reduction in the EFS-induced contractions observed in the vas deferens obtained from nNOS−/− mice could be attributed to the reduction observed in the basal release of 6-ND. This research is supported by the São Paulo Research Foundation (FAPESP). This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Collaborative optimization model of industrial high‐energy consumption park under green and low‐carbon transformation

AbstractUnder the background of green and low‐carbon transformation of industrial high‐energy‐consuming parks, in order to realize the coordinated development planning of energy and transportation under different peaking capacity requirements, this paper proposes a collaborative optimization model of industrial high‐energy‐consuming parks under green and low‐carbon. Firstly, by studying the energy balance mechanism between industrial load and new energy, an energy topology prior model of energy interaction in the next generation of industrial new energy power grid is constructed. Then, based on the probability characteristics of the equilibrium state of different regions in the high‐energy‐consuming industrial zone, combined with the prior knowledge of industrial load and low‐carbon power system, a collaborative development planning model of high‐energy‐consuming industrial parks is constructed. Finally, the proposed model is simulated. From the simulation results the authors can see the dynamic division model and solution algorithm of energy balance region established in this paper can effectively improve the energy balance ability of power grid, reduce peak shaving demand and use more renewable energy.

Assessing water quality of the Saigon River under the impact of industrial wastewater incidents

The Saigon River, as its economic potential and clusters and industrial parks evolve, is threatened by a high potential for water pollution. The objective is to evaluate the water quality (BOD5 and COD) under the influence of industrial wastewater incidents in the Saigon River using MIKE 21FM model. The results of model calibration and validation have high reliability with NSE values larger than 0.65 for the flow simulation and percentage error values less than 25% for the water quality simulation. Subsequently, the study proceeds to develop hypothetical scenarios in case untreated wastewater from industrial parks is charged directly into the Saigon River with actual discharge volumes of 15,811 m3/day and 30,000 m3/day. The results indicated that when an incident occurs at a location 1.3 km upstream from the Hoa Phu pumping station with a discharge volume of 15,811 m3/day, that has the most consequential impact, in terms of time and concentration of water pollutants on the pumping station. Specifically, the water quality at the pumping station area experiences a remarkable decrease after one and three hours of incidents in the dry and rainy seasons, respectively. In general, the impacts of industrial wastewater incidents vary depending on their location. An incident beneath the Hoa Phu pumping station on the Saigon River is expected to have a faster impact on the raw water source during the dry season compared to the rainy season.

Characteristics and distribution of greenhouse gas emissions from motorcycles in Hanoi, Vietnam

Motorcycles contribute to the notable emission of greenhouse gases (GHG) and air pollutants in urban areas. These vehicles are the most widely used means of road transportation in Vietnam. This study is the first to use the EMISENS model in combination with the IVE modelling system to calculate greenhouse gas emissions from motorcycles at tier 3 in IPCC guideline. There are more than 8700 motorcycles circulating on the roads in Hanoi per hour. With the characteristics of motorcycles compiled, the average age of motorcycles is around 11 years, and each vehicle travels an average of 16.4 km per day with an average start-up frequency of 3.46. The emission factors of greenhouse gases CO2 and CH4 when running (erunning) were 72.55 and 0.24 grams per km, respectively. The emission factors for CO2, CH4 and N2O during vehicle start-up (estart-up) were 6.96, 0.53 and 0.0009 grams per start-up, respectively. Inventory emission data from 2021-2023 reveal that that motorcycles in Hanoi emitted nearly 4.6 mil tons of CO2e per year. Emission distribution is concentrated in inner-city districts and some residential areas at the intersections with provincial roads, national highways, and industrial parks.