Environmental Protection Department Research Articles

Coordination of interests between local environmental protection departments and enterprises under China’s environmental regulation policies: an evolutionary game theoretical approach

Coordination of interests between local environmental protection departments and enterprises under China’s environmental regulation policies: an evolutionary game theoretical approach

Study on the regulatory alienation effect of China's Environmental Protection Tax Law during the strict epidemic control period: based on a sample test of 1000 tax personnel

The enactment of the Environmental Protection Tax Law was a major event in the process of China's economic and social development. This law has achieved certain results in the first two years since enactment, but there have also been many problems. During the three-year strict pandemic control period, the normal process of Environmental Protection Tax Law implementation was impacted, causing alienation and reducing the quality of implementation. This study empirically reveals the alienation mechanism in the implementation of the Environmental Protection Tax Law by taking 1000 Chinese tax professionals, and randomly divides the sample equally into two parts, utilizing 500 samples for the initial test and another 500 samples for the robustness test. This research shows that pollutant emission monitoring (correlation coefficient is 0.07), preferential tax policies (correlation coefficient is 0.03) and the quality of tax personnel (correlation coefficient is 0.06) are not conducive to realizing the crowding-out effect of the Environmental Protection Tax Law, while preferential tax policies (correlation coefficient is 0.05), information-sharing platforms (correlation coefficient is 0.06) and the quality of tax personnel (correlation coefficient is 0.05) hinder the incentive effect, and the remaining elements passed the correlation coefficient test within certain confidence intervals. Therefore, the implementation of China's Environmental Protection Tax Law should be improved in the following ways: the accuracy of the environmental protection departments' supervision of pollutant emissions as well as the scientificity and rationality of preferential tax policies should be improved, the construction of environmental protection tax information-sharing platforms should be strengthened, and compound tax collection and management talent should be created.

Preparation and Adsorption Studies of Heavy Metal Ions on Magnetic Fe3O4 Hollow Microspheres

Similar to the dilemma faced by developed countries in the past, as China's industrialisation continues to develop, the environmental problems it causes are becoming increasingly serious. In particular, industrial wastewater, which is discharged directly from factories into the surrounding environment, has become the biggest hidden threat to the environment. Therefore, the treatment of industrial wastewater has always been the focus of environmental protection departments and relevant technical personnel. For the human body, heavy metal ions in wastewater are not only highly toxic and easily absorbed, but can also accumulate in organisms through the food chain. Therefore, finding an efficient, inexpensive and simple method to treat heavy metal ions in wastewater is the most urgent issue for scientific research.

Quantifying Disparities in Per- and Polyfluoroalkyl Substances (PFAS) Levels in Drinking Water from Overburdened Communities in New Jersey, 2019-2021.

Policymakers have become increasingly concerned regarding the widespread exposure and toxicity of per- and polyfluoroalkyl substances (PFAS). While concerns exist about unequal distribution of PFAS contamination in drinking water, research is lacking. We assess the scope of PFAS contamination in drinking water in New Jersey (NJ), the first US state to develop regulatory levels for PFAS in drinking water. We test for inequities in PFAS concentrations by community sociodemographic characteristics. We use PFAS testing data for community water systems (CWS) () from the NJ Department of Environmental Protection (NJDEP) from 2019 to 2021 and demographic data at the block group level from the US Census to estimate the demographics of the NJ population served by CWS. We use difference in means tests to determine whether CWSs serving "overburdened communities" (OBCs) have a statistically significant difference in likelihood of PFAS detections. OBCs are defined by the NJDEP to be census block groups in which: a) at least 35% of the households qualify as low-income, b) at least 40% of the residents identify as people of color, or c) at least 40% of the households have limited English proficiency. We calculate statewide summary statistics to approximate the relative proportions of sociodemographic groups that are served by CWSs with PFAS detections. We find that 63% of all CWSs tested by NJDEP from 2019 to 2021 had PFAS detections in public drinking water, collectively serving 84% of NJ's population receiving water from CWSs. Additionally, CWSs serving OBCs had a statistically significant higher likelihood of PFAS detection and a higher likelihood of exposure above state MCLs. We also find that a larger proportion of people of color lived in CWS service areas with PFAS detections compared to the non-Hispanic white population. These findings quantitatively identify disparities in PFAS contamination of drinking water by CWS service area and highlight the extent of PFAS drinking water contamination and the importance of PFAS remediation efforts for protecting environmental health and justice. https://doi.org/10.1289/EHP12787.

Environmental protection taxes and green productivity: Evidence from listed companies in China

Enforcing an environmental protection tax is a pivotal institutional measure for addressing environmental and climate change challenges and marking a substantial advancement in ecological development. This study aims to explore the influence of environmental protection taxes on the "green" productivity of the manufacturing industry through an analysis of Chinese listed companies. Initially, the Dynamic Slacks-Based Measure (DSBM) method is employed to estimate the "green" production efficiency levels of 175 listed companies in China from 2016 to 2020. Subsequently, by aligning pollution tax standards issued by local governments and relevant environmental protection departments with microlevel data from the CSMAR database, wind database, listed company annual reports, and social responsibility reports, the sample was refined to 833 data points. Using the implementation of the environmental protection tax policy in 2018 as a natural experiment, a Difference-in-Differences (DID) model is applied for empirical testing. The empirical results reveal a counterintuitive negative correlation between the environmental protection tax and the "green" productivity of companies, contradicting the predictions of the Porter hypothesis. This suggests that stringent environmental regulations hinder the development of green technologies. The adverse impact of environmental protection taxes on "green" productivity is attributed to heightened environmental legitimacy pressures and increasing environmental uncertainty risks companies face. Further exploratory analysis indicated that the digital economy and green finance have a positive moderating effect, significantly mitigating the negative impact of environmental protection taxes on companies' overall "green" productivity. Consequently, dynamically optimizing environmental tax policies is imperative to alleviate companies' environmental legitimacy pressures and uncertainty risks. Additionally, capitalizing on the opportunities the digital economy presents and leveraging green finance policies have emerged as effective strategies for realizing the Porter effect of environmental protection taxes.

A Practical Deep Learning Architecture for Large-Area Solid Wastes Monitoring Based on UAV Imagery

The development of global urbanization has brought about a significant amount of solid waste. These untreated wastes may be dumped in any corner, causing serious pollution to the environment. Thus, it is necessary to accurately obtain their distribution locations and detailed edge information. In this study, a practical deep learning network for recognizing solid waste piles over extensive areas using unmanned aerial vehicle (UAV) imagery has been proposed and verified. Firstly, a high-resolution dataset serving to solid waste detection was created based on UAV aerial data. Then, a dual-branch solid waste semantic segmentation model was constructed to address the characteristics of the integration of solid waste distribution with the environment and the irregular edge morphology. The Context feature branch is responsible for extracting high-level semantic features, while the Spatial feature branch is designed to capture fine-grained spatial details. After information fusion, the model obtained more comprehensive feature representation and segmentation ability. The effectiveness of the improvement was verified through ablation experiments and compared with 13 commonly used semantic segmentation models, demonstrating the advantages of the method in solid waste segmentation tasks, with an overall accuracy of over 94%, and a recall rate of 88.6%—much better than the best performing baselines. Finally, a spatial distribution map of solid waste over Jiaxing district, China was generated by the model inference, which assisted the environmental protection department in completing environmental management. The proposed method provides a feasible approach for the accurately monitoring of solid waste, so as to provide policy support for environmental protection.

Obtaining an important component of humate-enriched organomineral fertiliser based on oxidised lignite from Kyrgyzstan

The study of methods for the production and processing of humateenriched organomineral fertilisers based on oxidised lignite represents a key aspect for modern agriculture, due to the need to improve resource efficiency, soil quality, and sustainability of production. The purpose of this study was to determine the best methods of obtaining and processing humate-enriched organomineral fertilisers based on oxidised lignite. To fulfil this purpose, experimental research was carried out in the laboratory of the Institute of Natural Resources of the Southern Branch of the National Academy of the Kyrgyz Republic and the educational and scientific laboratory of the Department of Ecology and Environmental Protection of the Osh Technological University named after M.M. Adyshev. The findings of the study indicate significant changes in soil characteristics after application of vermicompost and glauconite. Analyses of vermicompost revealed that it has a significant content of nutrient elements and organic compounds. The potassium content of vermicompost increased by 40%, while silicon and phosphorus content increased by 39% and 28.5%, respectively. As a result of vermicomposting, there is an improvement in soil characteristics: pH increases to 7-7.5, organic matter content increases to 35-45%, while C/N-ratio decreases to 10-12, which creates more favourable conditions for plant growth and increases nitrogen use efficiency. After addition of glauconite, an increase in potassium oxide by 0.6%, iron (III) oxide by 2.34%, and aluminium oxide by 0.41% was observed. Silicon oxide content increased by 4.9%, while the content of humic substances – by 1.1%. These changes in soil characteristics contribute to higher yields and better soil quality. The results of the study have practical significance for agriculture in improving soil characteristics, increasing yields and soil quality, and reducing dependence on chemical fertilisers

Innovation driver and county air pollution: cost-benefit analysis perspective.

Innovation is the first power to drive the county's green and low-carbon. It is crucial to explore the impact of innovation on air pollution from the perspective of counties at the bottom of the administrative division hierarchy. The article is aimed at exploring the direct impact effects, spatial spillover effects, impact mechanism pathways, non-linear relationships, and cost-benefits of innovation drive on air pollution in counties. To this end, based on the collection of county-level data from 2007 to 2020 in mainland China, the article constructs a fixed-effects model, a dynamic panel model, and a spatial Durbin model for analysis. For every 1% increase in the quantity of innovation, the county SO2 emission concentration decreases by 0.2% on average; for every 1% increase in the quality of innovation, the county SO2 emission concentration decreases by 0.3% on average. When the county innovation quantity driver increases by one standard deviation, the county SO2 concentration decreases by an average of 0.29%; when the county innovation quality driver each standard deviation increases, the county SO2 concentration is reduced by 0.33% on average. The significant entry of high-end factors, the increased frequency of regulation by the environmental protection department, and the increasing efficiency of energy use are the important mechanism pathways for innovation-driven reduction of air pollution in counties. There is no significant "(inverted) U-shaped" relationship between innovation-driven air pollution in the county samples. There is a negative spatial spillover effect of the innovation quality drive on air pollution control in all Chinese county samples. Innovation to drive the declining size of the county's sulfur dioxide can bring about one billion yuan (about 139.81 million U.S. dollars) in comprehensive economic benefits. In the coming period, county governments should build a new pattern of "blue sky and white clouds" with neighboring regions in terms of spatial agglomeration of high-end elements, green transformation and utilization of energy, and intelligent monitoring and supervision of pollution.

The role of government social media in enhancing environmental governance

ABSTRACT In light of the advancements in information and communication technologies and growing concerns over environmental issues, environmental protection agencies are increasingly turning to official social media platforms to promote environmental governance, especially in rapidly developing nations. The adoption of government social media has improved the effectiveness of environmental governance in various aspects, while also presenting some challenges. This paper summarizes findings from recent literature on the role of government social media in enhancing environmental governance. It also highlights prospective research topics on the use of social media in e-government within environmental protection departments, including investigating efficient government-citizen communication strategies using social media tools, comprehensively addressing aspects of e-government from both supply and demand perspectives, and understanding the underlying factors that contribute to the varying operating patterns of different government social media.

A comparative assessment of air pollutants of smog in wagah border and other sites in Lahore, Pakistan.

Smog has become the fifth season of Pakistan especially in Lahore city. Increased level of air pollutants (primary and secondary) are thought to be responsible for the formation of smog in Lahore. Therefore, the current study was carried out for the evaluation of air pollutants (primary and secondary) of smog in Wagah border particularly and other sites (Jail road, Gulburg) Lahore. For this purpose, baseline data on winter smog from March to December on primary and secondary air pollutants and meteorological parameters was collected from Environmental Protection Department and Pakistan Meteorological Department respectively. Devices being used in both departments for analysis of parameters were also studied. Collected data was further statistically analyzed to determine the correlation of parameters with meteorological conditions and was subjected to air quality index. According to results, PM 10 and PM 2.5 were found very high above the NEQS. NOx concentrations were also high above the permissible limits whereas SO2 and O3 were found below the NEQS thus have no roles in smog formation. Air Quality Index (AQI) of pollutants was PM 2.5(86-227), PM 10 (46-332), NOx (26-110), O3 (19-84) and SO2 (10-95). AQI of PM 2.5 remained between moderate to very unhealthy levels. AQI of PM 10 remained between good to hazardous levels. AQI of NOx remained between good to unhealthy for sensitive groups' levels. AQI of O3 and SO2 remained between good to moderate levels. Pearson correlation showed that every pollutant has a different relation with different or same parameters in different areas. It is concluded from the present study that particulate matter was much more responsible for smog formation. Although NOx also played role in smog formation. So there is need to reduce sources of particulate matter and NOx specifically in order to reduce smog formation in Lahore.

A new approach to extract the upright maize straw from Sentinel-2 satellite imagery using new straw indices

Unharvested upright maize straw is highly susceptible to burning in winter or in spring of the following year, contributing significantly to air pollution. The rapid and accurate acquisition of the spatial distribution of upright maize straw holds great importance for agricultural and environmental protection departments. This study introduces a new approach that focuses on extracting upright maize straw using Sentinel-2 satellite images. Initially, the Sentinel-2 images from the Botou and Hejian regions underwent preprocessing. To minimize interference during straw extraction, the normalized difference vegetation index (NDVI) was utilized to extract and eliminate built-up land and woodland areas. Subsequently, utilizing the spectral characteristics of maize straw across various bands including short-wave infrared, red edge, and near-infrared, three new indices were proposed and computed: the accumulation infrared straw index (AIRSI), the product near-infrared straw index (PNISI), and the normalized difference short-wave infrared straw index (NDSSI). Finally, the decision tree classification method was implemented to establish classification rules and extract the spatial distribution of upright maize straw. The study results revealed that the proposed new straw indices achieved an extraction accuracy of over 90% for upright maize straw. This new approach effectively enhances the identification accuracy of upright maize straw, providing valuable support for scientific supervision, comprehensive utilization, and prevention and control measures against maize straw burning.

State of the shoreline since Hurricane Sandy: Summary of changes at New Jersey Beach Profile Network (NJBPN) sites

Following the devastating impacts from Hurricane Sandy in October 2012, Congress passed Public Law 113-2 in January 2013 which provided the funding for the U.S. Army Corps of Engineers (USACE) to restore authorized federal coastal storm risk management projects in New Jersey to their original design templates. Between 2013 and 2016, approximately 28.3 million cubic yards of sand were used to rebuild the beaches and dunes along 92.7 miles of the 127-mile Atlantic Ocean shoreline (an average of 283,290 cubic yards per mile). Between 2017 and 2019, initial federal beachfill had been completed at the northern Ocean County beaches (an additional 11 million cubic yards). A review of the changes to the New Jersey Beach Profile Network (NJBPN) locations indicates that this influx of sand benefitted nearly all shorelines as well as former erosion hot spots. Examples are provided from each of the four counties (Monmouth, Ocean, Atlantic, Cape May) to show trends in profile volume and shoreline position. State support of beach nourishment continues through the efforts of the New Jersey Department of Environmental Protection and its Office of Coastal Engineering.

Hurricane Sandy’s impact on the Borough of Mantoloking, NJ, October 2012

Hurricane Sandy hit Mantoloking, New Jersey, 29 October 2012, heavily damaging both residential and municipal infrastructure located on a barrier spit extending south from Manasquan Inlet in Ocean County, NJ. Due to the storm, residential property values dropped by $528.3 million and more than $5 million in recovery expenses were incurred by the borough. The Herbert Avenue inlet breach severed all infrastructure and critical services to the rest of the peninsula with the Federal Highway Administration, the New Jersey Department of Environmental Protection (NJDEP) and the New Jersey Department of Transportation (NJDOT) bearing $265 million to restore State Highway 35, including $23.8 million to install a vertical steel bulkhead along 3.5 miles of oceanfront shoreline. In addition, individual oceanfront residential owners living north of Lyman Street spent between $48,000 and $72,000 each on a rock revetment linking the steel wall with a pre-existing rock revetment which ended in Bay Head, the neighboring community to the north. The oceanfront owners formed an alliance allowing them to contract as a group for this project. Finally, the U.S. Army Corps of Engineers, Philadelphia District, entered into an agreement with the State of New Jersey to construct a dune 14 miles long and 22 feet high (NAVD 88) with between a 75- and 220-foot-wide berm seaward of that dune between Seaside Park in the south and Point Pleasant Beach just north of Bay Head. This project was completed in Mantoloking in 2019 with an initial construction cost of $122.05 million. This project’s commitment is for 50 years after the Corps and New Jersey signed the state aid agreement extending into 2065.

Can environmental supervision improve air quality? Quasi-experimental evidence from China

Environmental supervision is significantly disrupted by local economic development and typically characterized by a lack of independence in China. This paper investigates the impacts and mechanisms of the vertical management reform of environmental protection department in China on urban air quality. We construct a principal–agent model suitable for explaining the interactions between the central and local governments and elaborate the intrinsic mechanism of EVM on strengthening environmental supervision. Using manually collected data, we conduct EVM as a quasi-experiment and construct a time-varying difference-in-difference (DID) model. Our empirical results show that the EVM significantly strengthens regional environmental supervision and reduces urban air pollution, bringing abatement in the PM2.5 concentration. The mechanism shows that EVM increases enterprises’ green innovation and attracts new entrants, further promoting industrial upgrading. Our study provides a new perspective on environmental governance and urban air quality in emerging countries such as China.

Integration of smart city planning in noise assessment and its benefits

Smart cities are increasingly incorporating various technologies and data sources as a key aspect of their sustainability initiatives. Environmental impact assessment is currently the major method to ensure the sustainability of new developments. In particular, environmental noise has been shown to have negative impacts on both human health and wildlife. Therefore, noise monitoring and reduction are the important aspects of smart city planning. This paper discusses the various ways in which smart cities can integrate noise monitoring and assessment into their sustainability initiatives, including the use of sensors, data analytics, and citizen engagement. By leveraging these tools, smart cities can create a more comprehensive understanding of noise pollution levels and patterns, allowing them to make informed decisions and improve the overall quality of life for their residents. Additionally, by engaging and easing the industry in the process of monitoring and assessment, smart cities can help create healthier, more livable, and more sustainable communities for all. A case study of Web-based Traffic Noise Assessment Tool (Web-NAT) commissioned by Environmental Protection Department (EPD) of HKSAR providing a cloud-based platform that streamlines the noise modeling and impact assessment is also investigated.

Economic Evaluation and Risk Premium Estimation of Rainfed Soybean under Various Planting Practices in a Semi-Humid Drought-Prone Region of Northwest China

Economic benefits and risk premiums significantly affect the production system decision making of farmers and government departments. This study evaluated the economic feasibility and estimated the risk premium of 12 rainfed soybean production systems with various planting densities, fertilization rates and planting patterns by considering the impact of soybean price fluctuation. There were two planting densities (D1: 160,000 plants ha−1 and D2: 320,000 plants ha−1), two fertilization rates (F1: 20 kg ha−1 N, 30 kg ha−1 P, 30 kg ha−1 K; F2: 40 kg ha−1 N, 60 kg ha−1 P, 60 kg ha−1 K) and three planting patterns (F+W0: flat cultivation with no irrigation; R+W0: plastic-mulched ridge-furrow cultivation (PMRF) with no irrigation; R+W1: PMRF with supplemental irrigation of 30 mm at the pod-filling stage). Based on the two-year (2019–2020) field data in a semi-humid drought-prone region of northwest China and soybean price fluctuation from January 2014 to June 2021, the net income (NI) was calculated by considering the impact of soybean price fluctuation and assuming constant soybean production costs. The net present value (NPV) method and the stochastic efficiency with respect to a function (SERF) method were used to evaluate the profitability of protective alternatives and the risk of these alternatives. The results showed that the 12 proposed soybean production systems were economically feasible. Reducing the fertilization rate reduced the input costs, but it did not necessarily result in a decrease in soybean yield and NI. The payback period of all production systems was within two years for farmers investing through loans. High-fertilizer and high-density production systems made personal investment obtain the highest economic benefit in this study, which was not the best investment strategy from the perspective of production-to-investment ratio and environmental protection departments. The preferences of farmers with various risk aversion and environmental protection departments in terms of risk premium were also proposed. The economic and risk assessment framework of this study can enhance the understanding of the adjustment of production systems from different perspectives, and provide strategies for promoting the protection of economic, environmental and socially sustainable agricultural systems.

Research on the green innovation promoted by environmental vertical management reform: evidence from green patents of Chinese listed companies

ABSTRACT The environmental vertical management reform (EVMR) below the provincial level in China is an important driving force for enterprise green innovation. This article employs a progressive double-difference method to test the green innovation performance of enterprises in pilot areas relative to non-pilot areas before and after the implementation of the reform, to analyse its impact on green innovation. The findings of the article indicate that: (1) EVMR can significantly promote enterprise green innovation. This conclusion still holds after controlling for endogeneity and conducting other robustness tests. (2) In terms of the mechanism, EVMR primarily promotes green innovation by improving the supervisory capacity of provincial-level environmental protection departments, the enforcement capacity of grassroots environmental protection departments, and the incentives and supervision for managers from shareholders in enterprises. (3) Heterogeneity results show that the EVMR has a more significant promoting effect on enterprise green innovation in regions with lower degree of marketization and less emphasis on the environment.

Research on Full Premixed Combustion and Emission Characteristics of Non-Electric Gas Boiler

NOx has become one of the main culprits causing the global greenhouse effect, and excessive emissions of NOx can also cause some common diseases in humans. The denitrification of power plant boilers has been 100% popularized, and their denitrification efficiency has reached national and local environmental requirements (such as Selective Catalytic Reduction, SCR). However, small gas boilers, due to their use of relatively clean fuels, have relatively low NOx emissions. But, local environmental protection departments have weak supervision of small clean fuel boilers, and these equipment generally lack specialized denitrification equipment, resulting in NOx emissions still not meeting standards. In addition, there are many small gas boilers, resulting in high total emissions. The fully premixed burner of a small gas boiler has the effect of suppressing NOx production during combustion. This study designed a surface porous burner with different combustion intensities at different positions. The experimental results and numerical calculations show that for horizontal combustion, the burner has different intake rates at different axial positions, enabling uniform combustion throughout the entire furnace, with NOx emissions below 30 mg/Nm3. The numerical simulation results show that the NOx emissions are 26.6 mg/m3. The calculated results are in good agreement with the actual situation. The generation of NOx is mainly thermal, with a maximum error of 15.4% between the calculated and experimental values. The difference between the calculated value of O and the experimental one is 5.1%. It can be seen that numerical simulation has considerable accuracy.

Optimization algorithms for light pollution management based on TOPSIS-non-linear regularization model

Rapid urbanization and economic development have inevitably led to light pollution. However, currently the world has not yet formed a unified technical standard for light pollution, and light pollution cannot be effectively controlled when the environmental protection department is unable to operate. To effectively solve this problem, this paper establishes a combined weight ideal point method evaluation model based on TOPSIS evaluation method to obtain comprehensive index weights to evaluate the light pollution risk levels of four different land types in urban, suburban, rural and nature reserve areas in Beijing, China, and uses one-way ANOVA to test the differences among the four regions. Based on the Random Forest algorithm to determine the three variables with the top three feature importance weights, and based on the nonlinear optimization algorithm, using the SLSQP method, the optimal parameter combinations with the smallest cost are obtained after iteration, so as to put forward three feasible intervention strategies such as adjusting the design of the nightscape lighting, reducing the time of nonessential lighting, and rationally planning the layout of the city’s lighting, etc., to solve the light pollution problem, which effectively promote the urban nightscape lighting’s it effectively promotes the healthy and sustainable development of urban nightscape lighting.

Possibly pathogenic bacteria in aerosols and foams as a result of aeration remediation in a polluted urban waterway

Newtown Creek is a tributary of the Hudson River Estuary. It has a legacy of both industrial pollution and sewage pollution and has been designated a Superfund site. To ameliorate the chronically low levels of dissolved oxygen detected in the Creek, the New York City Department of Environmental Protection has been installing aerators. The abundance of various bacteria in the aerosols, foams, and water, at two sites in the Creek, was studied before, during, and after the aeration process. Additionally, aerosols and dispersed foams created by the aeration process were sampled and cultured to determine what unique taxa of bacteria could be grown and identified. Taxa including Actinobacteria and Firmicutes were prevalent in cultures taken from aerosols, whereas Gammaproteobacteria were prevalent in cultures taken from foam. Campylobacteria was found to have a significant presence in both samples taken after the aerators were turned off. These taxa include potentially pathogenic bacteria and are therefore of particular concern.