Decomposition Ratio Research Articles

Influence of thermal stability on organic Rankine cycle systems using siloxanes as working fluids

• An off-design model with fluid decomposition parameters was established. • The influence of MM thermal decomposition on the ORC system was evaluated. • MM decomposition reduced the net power and efficiency of ORC system obviously. • MM decomposition may lead to incomplete evaporation and evaporator acid corrosion. The organic Rankine cycle (ORC) is an efficient power generation technology that has been widely used in renewable energy utilization and industrial waste heat recovery. The thermal stability of working fluids has a significant effect on the fluid selection and system design of ORC systems. In this study, an off-design model of an ORC system was established with hexamethyldisiloxane (MM) as the working fluid, and the effects of the MM thermal stability on the system were analyzed. The results showed that the effect of MM thermal decomposition on the cold source and working fluid pump was limited. The outlet temperature of the evaporator decreased with MM decomposition, which might lead to incomplete evaporation of working fluids and possible damage to the expander. The outlet temperature of the heat source also decreased with MM decomposition, which led to lower outlet temperatures than the acid dew point limit temperature. Both of these results can affect the safe operation of ORC systems. The net power and thermal efficiency of the system decreased with increasing thermal decomposition ratios of MM. The net power and thermal efficiency decreased by 7.48% and 10.72% respectively in the model of this study with a 10% decomposition ratio.

A Novel Denoising Method for Mixed Noises Based on Variational Mode Decomposition and Energy Variation Ratio Function

A Novel Denoising Method for Mixed Noises Based on Variational Mode Decomposition and Energy Variation Ratio Function

Barium calcium titanate @carbon hybrid materials for high-efficiency room-temperature pyrocatalysis

In this work, a significant enhancement of pyrocatalysis is found in barium calcium titanate @carbon (Ba0.8Ca0.2TiO3@C) hybrid nanofibers hydrothermally synthesized and designed to decompose rhodamine B (RhB) dye. The pure Ba0.8Ca0.2TiO3 can decompose the RhB dye at 30–60 °C cold-hot cycles with a final decomposition ratio of 31.3%. As the content of C mixed in Ba0.8Ca0.2TiO3 gradually increases from 0 to 5 wt%, the decomposition ratio of RhB first increases and then decreases, with the highest decomposition ratio of 76.6%, when the content of C is 3 wt%. The enhancement of pyrocatalytic activity could be attributed to the fact that the presence of C accelerates the carrier mobility and impedes the free charges recombination in the pyrocatalysis process. With the enhanced pyrocatalytic performance, Ba0.8Ca0.2TiO3@C hybrid nanofibers have tremendous potential for the alleviation of dye wastewater pollution through utilizing alternative cold-hot energy variation.

Strong tribocatalysis of strontium titanate nanofibers through harvesting friction energy for dye decomposition

Friction is a common clean energy and can be harvested and converted into electricity energy via triboelectricity, which can electrochemically drive dye decomposition in theory. In this work, the tribocatalytic Rhodamine B dye decomposition has been experimentally realized in strontium titanate (SrTiO3) nanofibers, which are synthesized via a hydrothermal method. In the tribocatalytic dye decomposition process, the friction is exerted in the interface between catalyst surface and a polytetrafluoroethylene (PTFE) Teflon rod setup with the different stirring speed. The RhB dye decomposition ratios of SrTiO3 nanofibers at these stirring speeds of 200 rpm, 400 rpm, 600 rpm, and 800 rpm are respectively 24.2%, 51.8%, 73.9% and 88.6%, yielding to these reaction rate constants of ∼0.0112 h−1, ∼0.0260 h−1, ∼0.0562 h−1 and ∼0.0877 h−1. The main active species, which play an important role in tribocatalytic process, are the superoxide radicals and holes on basis of the active species quenching experiment results. The excellent tribocatalysis activity makes SrTiO3 nanofibers potential for application in dye wastewater treatment through utilizing the environmental friction energy.

Estimation of fine root production, mortality, and decomposition by using two core methods and litterbag experiments in a mangrove forest

AbstractMangrove forests are characterized by high rates of carbon sequestration, with much of this carbon being derived from fine roots. In this study, we sought to estimate the dynamics of the fine (<2 mm) and small (≥2 mm) roots of Kandelia obovata, one of the mangrove forest species found on Okinawa Island, southern Japan, and to evaluate annual root production considering root decomposition estimated using root litterbags. To estimate root production and mortality, we applied two approaches, sequential soil core sampling and ingrowth core methods. We found that annual root production determined by sequential soil core sampling was 3.2 times higher than that estimated by ingrowth core methods. The annual production of fine roots (545 and 294 g m−2 year−1 for sequential soil core sampling and ingrowth core methods, respectively) was higher than that of small roots (536 and 44 g m−2 year−1 for sequential soil core sampling and ingrowth core methods, respectively). The results obtained using sequential soil core sampling indicated a high proportion of fine root necromass to total fine root mass (81%), most of which comprised very fine roots (<0.5 mm). We also established that the decomposition ratio of fine roots was lower than that of small roots. Collectively, our observations indicate that the slow rate of decomposition and high rate of production of fine roots contribute significantly to the accumulation of fine root necromass, particularly that of very fine roots, in the mangrove forest.

Efficient degradation and defluorination of perfluorobutyric acid under UV irradiation in the presence of persulfate

Perfluorobutyric acid (PFBA) has been used more and more in recent years and also can be generated by the degradation of long-chain perfluorinated compounds (PFCs). PFBA is refractory and has various toxic effects on the human body, such as reproductive toxicity and hepatotoxicity. Therefore, the removal of PFBA from the environment effectively has become a very urgent issue. This study successfully applied an ultraviolet-activated persulfate (UV/PS) system to remove PFBA (50 μM, 120 mL). We found that a high decomposition ratio (88.0%) and defluorination ratio (39.6%) can be achieved under an initial pH of 2.00 ± 0.02 within 5 h at room temperature. Quenching test and electron paramagnetic resonance spectrum of active species were conducted to develop the proposed mechanism for PFBA oxidation, and they depicted PFBA lost CF2 unit step by step to form short-chain intermediates (PFPrA and TFA) and F−, which became H2O and CO2 eventually. Sulfate radical (SO4•-) and hydroxyl radical (•OH) play key roles in the degradation of PFBA. The lower initial pH under acidic conditions and the higher pH under alkaline conditions can accelerate the degradation of PFBA by affecting the active species in the system. Higher persulfate doses or greater light intensity resulted in a faster PFBA degradation. Meanwhile, the inhibitory effect of Cl− on the decay of PFBA was significant, while other coexisting anions (CO32−, SO42−, F−) and humic acid had a slight influence. To the best of our knowledge, this is the first report for systematic studying the efficient degradation and defluorination of PFBA. This paper will guide the follow-up research on the degradation of short-chain perfluorinated compounds.

Impact of Simulated Gastrointestinal Conditions on Antiglycoxidant and α-Glucosidase Inhibition Capacities of Cyanidin-3-O-Glucoside.

Cyanidin-3-O-glucoside (C3G) is a widespread anthocyanin derivative, which has been reported in vitro to exert potent antioxidant, antiglycation and α-glucosidase inhibition effects. Nevertheless, the physiological relevance of such properties remains uncertain considering its significant instability in gastrointestinal conditions. A simulated digestion procedure was thus instigated to assess the influence of gastric and intestinal media on its chemical integrity and biological activities. HPLC analyses of digested C3G samples confirmed the striking impact of intestinal conditions, as attested by a decomposition ratio of 70%. In contrast, with recovery rates of around 90%, antiglycation, as well as DPPH and ABTS scavenging assays, uniformly revealed a noteworthy persistence of its antiglycoxidant capacities. Remarkably, a prominent increase of its α-glucosidase inhibition activity was even observed after the intestinal phase, suggesting that classical in vitro evaluations might underestimate C3G antidiabetic potential. Consequently, the present data provide novel and specific insights on C3G’s digestive fate, suggesting that the gastrointestinal tract does not profoundly affect its positive action on oxidative and carbonyl stresses. More specifically, it also tends to support its regulating effects on postprandial hyperglycemia and its potential usefulness for diabetes management.

Comparative Study of the Synergistic Effects of Blending Raw/Torrefied Biomass and Vietnamese Anthracite Using Co-pyrolysis.

Biomass can be upgraded via torrefaction, and torrefied kenaf (TK) is a fuel that allows blending with coal at high ratios. In the present study, raw kenaf (Hibiscus cannabinus L.) (RK) was torrefied at 523 K for 30 min and then mixed with Vietnamese anthracite (NinhBinh, NB) before co-pyrolysis. Thermogravimetric (TG) analysis was used to evaluate the behavior of RK, TK, and blended RK/TK during co-pyrolysis at biomass blending ratios (BBRs) of 0, 25, 50, 75, and 100 wt %. The TG and derivative thermogravimetry curves of a mixture of NB and RK (NBRK) were similar to those of RK. The decomposition curves of a mixture of NB and TK (NBTK) depended on the mass fraction of TK. Based on weight loss differences between the experimental and calculated data for the fuel blends, no interaction between the RK and anthracite was observed for all BBRs, whereas anthracite involving 50 and 75% TK exhibited synergistic effects. The temperature range for synergy and degree of synergy for NB and TK depended on the heating rate and mass ratio of TK. Kinetic parameters were calculated using the Friedman–non-isothermal free kinetic method at heating rates of 10, 20, and 40 K/min. The results showed that the activation energy (E) values of the NBRK at conversion ratios of 0.2–0.5 were equal to those of the RK, whereas they were superior at NB decomposition ratios of 0.6–0.8. NBTK1-1 (BBR of 50%) showed E values higher than those of NB at some conversion ratios, thus demonstrating a negative impact of blending. Further, NBTK1-3 (BBR of 75%) and NBTK3-1 (BBR of 25%) exhibited E values between those of NB and TK. The present study suggests that a high TK mass fraction (75%) in the blend for co-pyrolysis is optimal for the activation energy and volatile matter yield.

Research on Feature Fusion Method of Mine Microseismic Signal Based on Unsupervised Learning

The feature extraction of high-precision microseismic signals is an important prerequisite for multicategory recognition of microseismic signals, and it is also an important basis for intelligent sensing modules in smart mines. Aiming at the problem of unobvious feature extraction of multiclass mine microseismic signals, this paper is based on the unsupervised learning method in the deep learning method, combined with wavelet packet energy ratio and empirical modulus singular value decomposition, and proposes a method based on wavelet packet energy and empirical modulus singular value decomposition and proposes a method (M-W&E) based on wavelet packet energy and empirical modulus singular value decomposition. This method firstly performs empirical modulus singular value decomposition and wavelet packet energy ratio on the microseismic signal to construct the basic feature vector and then uses the unsupervised learning algorithm to perform the unsupervised learning method feature fusion of the basic feature vector to construct the fused feature vector. After visualization by t-SNE, various distinctions in the fusion feature vector are more obvious. After testing the fusion feature classification using SVM, it is found that the recognition rate of the new feature after feature fusion is better than that of a single wavelet packet empirical energy component and singular value of empirical modulus, which basically meets the engineering needs and is a mine microseism. The signal extraction and feature enhancement fusion of multiclass samples provide a new idea.

Effects of water and methanol on synthesis of polyoxymethylene dimethyl ethers from dimethoxymethane and paraformaldehyde

Water and methanol are two unavoidable by-products for synthesis of polyoxymethylene dimethyl ethers (PODEn) from dimethoxymethane (DMM) and paraformaldehyde (PF), but their effects have not been clearly studied. As DMM decomposes with water and is formed with methanol, the decomposition ratio of DMM is a key quantity to describe the effects of water and methanol. Using this quantity, a simple and accurate method was proposed for calculating CH2O conversion and a complete model of Schulz-Flory (SF) distribution was established in the presence of water/methanol, both of which were validated experimentally. Then the effects of water and methanol were investigated in detail. The presence of water and methanol had complicated effects on equilibrium of the reaction, and both significantly decreased the yield of PODE3-5. These results showed that both water and methanol should be removed from the recycling stream in an industrial plant to enhance the efficiency of the reactor.

Modelling, Characterizing, and Monitoring Boreal Forest Wetland Bird Habitat with RADARSAT-2 and Landsat-8 Data

Earth observation technologies have strong potential to help map and monitor wildlife habitats. Yellow Rail, a rare wetland obligate bird species, is a species of concern in Canada and provides an interesting case study for monitoring wetland habitat with Earth observation data. Yellow Rail has highly specific habitat requirements characterized by shallowly flooded graminoid vegetation, the availability of which varies seasonally and year-to-year. Polarimetric Synthetic Aperture Radar (SAR) in combination with optical data should, in theory, be a great resource for mapping and monitoring these habitats. This study evaluates the use of RADARSAT-2 data and Landsat-8 data to characterize, map, and monitor Yellow Rail habitat in a wetland area within the mineable oil sands region. Specifically, we investigate: (1) The relative importance of polarimetric SAR and Landsat-8 data for predicting Yellow Rail habitat; (2) characterization of wetland habitat with polarimetric SAR data; (3) yearly trends in available habitat; and (4) predictions of potentially suitable habitat across northeastern Alberta. Results show that polarimetric SAR using the Freeman–Durden decomposition and polarization ratios were the most important predictors when modeling the Yellow Rail habitat. These parameters also effectively characterize this habitat based on high congruence with existing descriptions of suitable habitat. Applying the prediction model across all wetland areas showed accurate predictions of occurrence (validated on field occurrence data), and high probability habitats were constrained to very specific wetland areas. Using the RADARSAT-2 data to monitor yearly changes to Yellow Rail habitat was inconclusive, likely due to the different image acquisition times of the 2014 and 2016 images, which may have captured seasonal, rather than inter-annual, wetland dynamics. Polarimetric SAR has proved to be very useful for capturing the specific hydrology and vegetation structure of the Yellow Rail habitat, which could be a powerful technology for monitoring and conserving wetland species habitat.

Study on decomposition kinetics of activated alunite concentrate from copper tailings and leaching behavior of valuable elements

Alunite flotation concentrate extracted from copper tailings is considered to be a resource for recovery of potassium, aluminum and gallium, which mainly contains alunite, quartz, dickite and pyrite phases by the X-ray diffraction analysis. The calcination temperature and time affect not only the decomposition ratio of alunite but also the phase change of alumina. The effects of mechanical activation on thermal decomposition and leaching behavior of the alunite concentrate are investigated. The decomposition reactions of pyrite and alunite happen at 400–500 °C and 500–800 °C respectively, and the decomposition of alunite involves two stages, dehydration and desulphation. The mechanical activation produces some amorphisation and structural disordering, which is responsible for the decrease of apparent activation energy of dehydration as well as desulphation. The leaching ratio of potassium, aluminum and gallium increases with activation time.

Green and efficient comprehensive utilization of pyrite concentrate: A mineral phase reconstruction approach

Pyrite concentrate obtained from sulfide mines is of low value and not friendly to the environment. This paper proposed a method for clean and efficient comprehensive utilization of pyrite concentrate by phase reconstruction (pyrolysis) under high temperature and nitrogen atmosphere. Firstly, the results of HSC calculation and thermogravimetric analysis showed that the pyrolysis temperature range of pyrite is between 400 and 700 °C. The pyrolysis conditions test proved that temperature, layer thickness and time were the important factors affecting the pyrolysis results. At a temperature of 650 °C, a layer thickness of 10 mm and a reaction time of 3 h, the decomposition ratio of the pyrite concentrate reached 100%. The XRD results showed that the pyrolysis slag was mainly pyrrhotite (Fe7S8). The SEM image showed that the microstructure of the pyrolysis slag became loose and porous. The decomposed sulfur gas was condensed into solid sulfur, and the result showed that the purity of the sulfur was in accord with the standard specification. In addition, PbSO4 in the pyrite concentrate turned into PbS through pyrolysis. The results of this study provide an economical and green process for the comprehensive utilization of pyrite concentrate.

Optimal Sample Allocation for Three-Level Multisite Cluster-Randomized Trials

Optimal sampling frameworks attempt to identify the most efficient sampling plans to achieve an adequate statistical power. Although such calculations are theoretical in nature, they are critical to the judicious and wise use of funding because they serve as important starting points that guide practical discussions around sampling tradeoffs and requirements. Conventional optimal sampling frameworks, however, often identify sub-optimal designs because they typically presume the costs of sampling units are equal across treatment conditions. In this study, we develop a more flexible framework that allows costs to differ by treatment conditions and derive the optimal sample size formulas for three-level multisite cluster-randomized trials. We find that the proposed optimal sampling schemes are driven by the differences in costs between treatment conditions, cross-level sampling cost ratios and cross-level variance decomposition ratios. We illustrate the utility of the proposed framework by comparing it to a conventional framework and find that the proposed framework frequently identifies more efficient designs. The proposed optimal sampling framework has been implemented in the R package odr.

Designing a supply chain network for blood decomposition by utilizing social and environmental factor

Recently, supply chain network design has been a demanding question and attracted great interest in a wide range of fields, including the medical industry. The heart of the entire discipline of the medical industry is the concept of blood management which nowadays brought striking attention among managers and decision-makers. Thus, a bi-objective and sustainable blood supply chain network is introduced in this study by considering both social and environmental factors of blood decomposition. In addition, some aspects of uncertainty are firstly considered to the problem in terms of both the amount of gathered blood from blood transfusion centers and the decomposition ratio in the blood decomposition center. Considering bi-objective programming in the developed network, the problem simultaneously considers optimizing the CO2 emission, balancing the flow of all utilized vehicles, penalty coefficient of non-visited centers, total costs of using all vehicles, and more importantly the social and environmental factors of blood decomposition. Therefore, the total cost is minimized by the first objective function along with the environmental factor of greenhouse gas emission while maximizing the social factor of blood decomposition is done by the second objective function which gathers and produces the maximum amount of blood sub-products for patients using stochastic programming. Several sensitivity analyses are conducted for a better implication of the problem in various conditions. The findings of the study suggest that expecting more social factors convey more costs in most cases. Therefore, blood supply chain managers must adjust their aims and scope to achieve the best-desired results for society.

Arbuscular mycorrhizal trees cause a higher carbon to nitrogen ratio of soil organic matter decomposition via rhizosphere priming than ectomycorrhizal trees

Tree roots and their associated microbes can significantly influence soil organic matter (SOM) decomposition, i.e., the rhizosphere priming effect. This effect is expected to be greater in trees associated with arbuscular mycorrhizal (AM) fungi, which produce higher extracellular enzymes especially surrounding hyphae, than in trees associated with ectomycorrhizal (ECM) fungi. Here, we selected five tree species associated with AM (Juglans mandshurica Maxim. and Cunninghamia lanceolata (Lamb.) Hook.) or ECM (Picea koraiensis Nakai, Quercus mongolica Fischer ex Turcz. and Larix kaempferi (Lamb.) Carriere). We grew tree seedlings inside of cores lined with different mesh sizes to investigate how roots, hyphae and exudates influence soil carbon (C) and nitrogen (N) mineralization via the rhizosphere priming effect, using a13C natural abundance approach and a15N pool dilution method, concurrently. We found that tree seedlings significantly accelerated soil C decomposition by on average 78%, i.e., positive priming, compared to unplanted control pots. AM-associated trees induced 2.1 times greater soil C decomposition than ECM-associated trees across all mesh sizes. In contrast, gross N mineralization did not differ between tree-mycorrhizal associations. Compared to ECM counterparts, AM-associated trees had higher C- and lower N-degrading enzyme activities. Consequently, AM-associated trees induced a significantly higher C:N ratio of SOM decomposition than their ECM counterparts, which could be associated with the differences in soil enzyme activities for C and N degradation. Further, for both AM- and ECM-associated trees, we found no significant influences of mesh size on soil C decomposition, suggesting that the rhizosphere priming effect of mycorrhizal symbiosis was predominantly driven by root exudates. We conclude that SOM decomposition caused by AM-associated trees may have a higher C:N ratio than that by ECM-associated trees mainly due to differences in microbial enzyme investment. Our findings imply that tree-mycorrhizal associations are capable of modulating soil biogeochemical cycling via the rhizosphere priming effect.

Enhanced pyrocatalysis of the pyroelectric BiFeO3/g-C3N4 heterostructure for dye decomposition driven by cold-hot temperature alternation

The BiFeO3/g-C3N4 heterostructure, which is fabricated via a simple mixing-calcining method, benefits the significant enhancement of the pyrocatalytic performance. With the growth of g-C3N4 content in the heterostructure pyrocatalysts from 0 to 25%, the decomposition ratio of Rhodamine B (RhB) dye after 18 cold-hot temperature fluctuation (25–65 °C) cycles increases at first and then decreases, reaching a maximum value of ∼94.2% at 10% while that of the pure BiFeO3 is ∼67.7%. The enhanced dye decomposition may be due to the generation of the internal electric field which strengthens the separation of the positive and negative carriers and further accelerates their migrations. The intermediate products in the pyrocatalytic reaction also have been detected and confirmed, which proves the key role of the pyroelectric effect in realizing the dye decomposition using BiFeO3/g-C3N4 heterostructure catalyst. The pyroelectric BiFeO3/g-C3N4 heterostructure shows the potential application in pyrocatalytically degrading dye wastewater.

Trait-Based Models of Decomposition with Interspecific and Environmental Interactions

Most saprotrophic fungi are dominant decomposers, and they play a vital role in the carbon cycle and stability of ecosystem. Previous researchers examined that how traits and environments influence the decomposition rate(DR), but few studies last long enough to scale short-term results up to long-term trends. In this paper, we build several trait-based models of decomposition with interspecific and environmental interactions to describe both short- and long-term trends. First, we build the model of decomposition ratio versus time with covariates – hyphal extension ratio and moisture tolerance for each species. Second, we define Interspecific Interference Ratio (IIR) to reflect interactions between fungi species and rank the relative competitiveness based on Grey System Theory with four evaluation indices: hyphal extension rate, moisture niche width, the hyphal density and thermal niche width. Then, we predict the relative advantages and disadvantages for different species by IIR and analyze the impact of biodiversity. Finally, we perform sensitivity and robustness analysis of our models, which exhibits the wide prospects and a deeper understanding of the role of fungi in the ecosystem.

Strong piezocatalysis in barium titanate/carbon hybrid nanocomposites for dye wastewater decomposition

In this work, the strong piezocatalysis is found in the two-step hydrothermally-synthesized barium titanate/carbon hybrid nanocomposites and is used for rhodamine B dye decomposition. As the carbon content increases from 0 to 5 wt%, the catalytic performance of hybrid nanocomposites first increases and then slightly decreases. When the carbon content increases to 2 wt%, the barium titanate/carbon hybrid nanocomposites exhibit the optimal piezocatalytic performance, which have the ~75.5% dye decomposition ratio and the ~0.04901 min−1 reaction rate constant after the 40 min vibration stimulation, while that of the pure barium titanate are 48.4% and 0.01942 min−1, respectively. The improvement of piezocatalytic performance in barium titanate/carbon hybrid nanocomposites can be ascribed to the action of carbon's charge transfer which promotes the effective separation of the piezoelectrically-induced electric charges. After three runs recycle utilization tests, the barium titanate/carbon hybrid nanocomposites still exhibit ~70% decomposition ratio of rhodamine B dye. The strong piezocatalytic performance and the good reusability make the barium titanate/carbon hybrid nanocomposites potential in the field of wastewater treatment through utilizing natural vibration energy in future.

Dual strategies to enhance mineralization efficiency in innovative electrochemical advanced oxidation processes using natural air diffusion electrode: Improving both H2O2 production and utilization efficiency

High mineralization efficiency and low energy consumption are the core requirements for the application of electrochemical advanced oxidation processes (EAOPs) for organic pollutants degradation. Herein we reported innovative EAOPs using natural air diffusion electrode (NADE) to improve H2O2 production and enhanced utilization efficiency by combination with electro-Fenton and photoelectro-Fenton (EF-PEF) for the degradation of 2,4-dichlorophenoxyacetic acid. At 0.2 and 1.2 A, the H2O2 production on NADE possessed 158% and 188% of that on normal aeration electrode (AE) with the total energy consumption only 7.2% and 25.4% of that on AE, respectively. Such excellent H2O2 production performance on NADE was attributed to ultra-high oxygen mass transfer efficiency and the feature of not requiring aeration, which reduced energy consumption greatly. A new H2O2 utilization efficiency (HUE) evaluation index including decomposition ratio, conversion efficiency and total utilization efficiency of H2O2 was proposed, demonstrating that PEF had a higher HUE than EF but not cost-effective due to a higher energy consumption. EF-PEF was thus proposed to upgrade the traditional PEF, which reduced energy consumption while maintained high mineralization efficiency. The HUE in EF-PEF process was greatly improved and superior to most reported EAOPs in literatures, which explained the high mineralization efficiency (78%–87%) with an extremely low energy consumption (0.065–0.167 kWh (g TOC)−1) even an order of magnitude lower than that in the literatures. This work enlightened the importance of two strategies of improving both H2O2 production and utilization efficiency to maintain high mineralization efficiency in H2O2 based EAOPs.