Process Safety and Environmental Protection最新文献

{"title":"Exceptional nitrate and phosphate removals from low carbon-to-nitrogen ratio wastewater with a novel pyrite-sulfur composite filler","authors":"Hongliang Guo ,&nbsp;Shuyu Wang ,&nbsp;Chongyin Zhu ,&nbsp;Jo-Shu Chang ,&nbsp;Duu-Jong Lee","doi":"10.1016/j.psep.2025.107941","DOIUrl":"10.1016/j.psep.2025.107941","url":null,"abstract":"<div><div>This study developed a pyrite-coupled sulfur autotrophic (PSAD) with a novel sulfur/pyrite composite filler to remove nitrogen and phosphorus at exceptional rates from wastewater of a low C/N ratio. The composite filler (radius 2.5 mm) was made by mixing the pyrite and sulfur powders at a volume ratio of 2:1, followed by melting with rapid stirring at 170℃ and cooling naturally. Three PSAD reactors with different sulfur/pyrite packings were tested: R1, which applied distinct layers of sulfur and pyrite particles; R2, which mixed the sulfur and pyrite particles in the filler; and R3, which employed the yielded pyrite-sulfur composite filler. The R3 demonstrated superior nutrient removals than R1 and R2, reaching 98.8 % total nitrogen and 96.2 % total phosphorus at a steady-state test of a hydraulic retention time of 12 h. The sulfate generated by R3 was 18.2 % less than the theoretical value of the sulfur autotrophic denitrification. The tested pyrite-sulfur composite filler provides more attachment sites, increasing the abundances of functional microorganisms for nitrogen, sulfur, and iron cycling, including <em>Thiobacillus</em> (73.7 % in R3 than 62.1 % in R1 and 64.5 % in R2), <em>Ferritrophicum</em> (11.7 % in R3 than 7.74 % in R1 and 8.66 %), and <em>Geothrix</em> (3.04 in R3 than 2.22 % in R1 and 2.47 % in R2). These microbes were claimed to collaboratively employ sulfur-based and pyrite-driven metabolic routes to achieve denitrification while promoting iron redox cycling (Fe²⁺/Fe³⁺ transformations) that facilitated the synergistic removal of phosphorus through combined adsorption and potential precipitation processes.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"203 ","pages":"Article 107941"},"PeriodicalIF":7.8,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning reveals heavy metal migration pathways in Asia's largest Pb-Zn smelting region: Soil pollution simulation in Jiyuan","authors":"Shaobo Sui, Mingshi Wang, Wanqi Ma, Mingya Wang, Jing Wang, Kewu Liu, Fengcheng Jiang, Xiaoming Guo, Mingfei Xing, Qiao Han, Baoxian Jia, Huiyun Pan","doi":"10.1016/j.psep.2025.107904","DOIUrl":"https://doi.org/10.1016/j.psep.2025.107904","url":null,"abstract":"Although heavy metal (HM) pollution caused by the non-ferrous metal smelting industry to the soil environment has been widely recognized, clarifying the migration pathways of HMs remains a critical scientific issue that urgently needs to be addressed. This study employs spatial autocorrelation and machine learning to uncover HM migration processes near polluting enterprises in a major Chinese Pb-Zn smelting base. Pb was the most enriched (17.48 × Henan background) and spatially heterogeneous(CV = 106 %) HM; its concentration, along with Zn and Cu, showed a pronounced decrease with increasing distance from the smelter. Source apportionment reveals that the contribution rates of anthropogenic sources to Pb, Cu, and Cr are as high as 89.23∼98.94 %. Further using the newly constructed spatial correlation model, showed that the spatial distribution of Pb and Zn exhibits significant heterogeneity, which is mainly influenced by the uneven spatial distribution of industrial enterprises. The migration pathways of Pb show distinct seasonal characteristics: within areas close to the plants, migration is mainly influenced by spring and summer wind directions, while in areas farther from the plants, migration pathways are associated with autumn and winter wind directions. Additionally, traffic activities have also been confirmed as an important factor affecting the migration and distribution of Pb. By revealing the distribution characteristics and migration patterns of HMs in the soil of the largest Pb-Zn smelting region, this study provides valuable scientific insights for subsequent soil remediation efforts.","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"15 1","pages":""},"PeriodicalIF":7.8,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145311737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Few-shot chemical process fault diagnosis based on fused self-supervised contrastive learning","authors":"Youqiang Chen ,&nbsp;Ridong Zhang ,&nbsp;Furong Gao","doi":"10.1016/j.psep.2025.107939","DOIUrl":"10.1016/j.psep.2025.107939","url":null,"abstract":"<div><div>In recent years, the field of chemical process fault diagnosis based on deep learning has grown rapidly. Compared with traditional methods, deep learning models are able to learn more complex data patterns and are more suitable for modern complex industrial systems. However, deep learning in the field of chemical process fault diagnosis still faces the challenge of insufficient sample size of chemical fault data. To address the problem of insufficient fault data samples in real chemical processes, this paper proposes a Fusion Self-Supervised Contrastive Learning for Fault Diagnosis (FSSCL). Firstly, this method proposes a self-supervised model for feature recovery and a contrastive learning model for sample classification, which are pre-trained for extracting intra-sample data features and inter-sample data discrepancy features, respectively; then, the trained model is fused using feature fusion technique to stitch and merge the extracted features from the two models to deliver them to the classifier for classification. The experiments on the Coke furnace process and the Tennessee Eastman chemical process show that the FSSCL method can still achieve high fault diagnosis accuracy with a small number of samples, which effectively solves the problem that the traditional fault diagnosis model is difficult to be trained in the face of a few-shot dataset and is easy to be overfitted.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"203 ","pages":"Article 107939"},"PeriodicalIF":7.8,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145182894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electronic tuning of MoS2 nanosheets by Ag atoms doping for efficient hydrogen evolution reaction","authors":"Xiang Liu ,&nbsp;Hongjie Zhu ,&nbsp;Rui Lu ,&nbsp;Hongsen Wei ,&nbsp;Huijie Sun ,&nbsp;Yumo Wang ,&nbsp;Ailing Zhang ,&nbsp;Kexin Lv ,&nbsp;Lei Zhang ,&nbsp;Haibin Zhang ,&nbsp;Hengcheng Wan","doi":"10.1016/j.psep.2025.107911","DOIUrl":"10.1016/j.psep.2025.107911","url":null,"abstract":"<div><div>Exploring efficient and economical electrocatalysts for hydrogen evolution reaction (HER) is of great significance from water splitting on an industrial scale. The electronic configuration holds a crucial role in the activity of catalyst toward HER. Herein, we possess MoS₂ nanosheets with Ag atoms doping artificially, in which Ag atoms optimize the electronic structure and enhance the electrical conductivity of pristine MoS₂. Density functional theory (DFT) calculations show that Ag doping introduces gap states near EF, reducing the band gap and promoting degenerate behavior, and introduces evident active sites. As a result, Ag doped MoS₂ nanosheets (Ag-MoS₂) display a superior HER performance with a low overpotential of 137 mV at the current density of 10 mA/cm² and a Tafel slope of 63 mV/dec in 1 M KOH. This work offers a promising strategy for developing effective electrocatalyst, which is not limited to doping Ag to a metal sulfide.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"203 ","pages":"Article 107911"},"PeriodicalIF":7.8,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exogenous reduced glutathione alleviates the Cr(VI) toxicity integrated with the enhanced lipid productivity and heavy metal removal efficiency in phycoremediation process","authors":"Xiwen Xue,&nbsp;Jianke Huang,&nbsp;Ruizeng Zhang,&nbsp;Bocheng Su,&nbsp;Hanlong Wang,&nbsp;Xiaoyu Wang","doi":"10.1016/j.psep.2025.107940","DOIUrl":"10.1016/j.psep.2025.107940","url":null,"abstract":"<div><div>Most heavy metals are toxic to microalgae with reducing algal cell growth and heavy metals removal when application of microalgae-based remediation approach. The effects of exogenous reduced glutathione (GSH) on the cell growth, heavy metal removal, and lipid production of <em>Chlorella pyrenoidosa</em> under Cr (Ⅵ) stress in photoautotrophic and mixotrophic culture were investigated. The results indicated that Cr (Ⅵ) significantly depressed cell division and photosynthesis pigment synthesis, along with the single cell size enlarged by ∼2-fold. Interestingly, the supplementation of low-concentration (100 μM) exogenous reduced glutathione (GSH) significantly alleviated the Cr (Ⅵ) toxicity and promoted cell reproduction. The algal density increased from 0.58 × 10⁷ to 5.30 × 10⁷ cells mL⁻¹ after adding low-concentration GSH and further increased up to 8.67 × 10⁷ cells mL⁻¹ under mixotrophic conditions. With the addition of GSH, the average single weight of microalgae exposed to Cr (VI) decreased from 81.17 pg cell⁻¹ to 10.73—18.25 pg cell⁻¹ which were comparable to 13.50 pg cell⁻¹ obtained at normal culture conditions. The SOD and CAT activities in the photoautotrophic and mixotrophic microalgal cells under Cr (Ⅵ) stress were both decreased to the normal levels by the addition of exogenous GSH. The enhanced algal biomass after the addition of a low-concentration GSH contributed to the Cr (Ⅵ) removal efficiency increase from ∼27 % to ∼40 %. Additionally, the algal lipid productivity was significantly increased from 151.95 mg L⁻¹ to 242.34 mg L⁻¹ by the addition low-concentration of GSH. The present study revealed an important role of external GSH in restoring normal physiological and morphological states of <em>C. pyrenoidosa</em> under the Cr(VI) stress. The proposed exogenous GSH-assisted phycoremediation provides a novel strategy for Cr (Ⅵ) wastewater treatment coupled with enhanced microalgal lipid production.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"203 ","pages":"Article 107940"},"PeriodicalIF":7.8,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145182891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recycling electrolytic manganese residue into sustainable subgrade material with carbide slag pretreatment and ground granulated blast-furnace slag stabilization","authors":"Jinwei Wang ,&nbsp;Xiaohan Nie ,&nbsp;Lei Lang ,&nbsp;Zhen Hu ,&nbsp;Bing Chen","doi":"10.1016/j.psep.2025.107936","DOIUrl":"10.1016/j.psep.2025.107936","url":null,"abstract":"<div><div>The large-scale storage and low utilization rate of electrolytic manganese residue (EMR) have caused serious environmental burdens and social problems. This study prepared a sustainable EMR-based subgrade material named GCE, based on carbide slag (CS)-pretreatment and ground granulated blast-furnace slag (GGBS)-stabilization. The optimum mix ratio, mechanical properties, and the durability of GCE were investigated by conducting unconfined compressive strength (UCS) tests. The strength evolution micro-mechanisms under different mix ratios and durability conditions were clarified by performing XRD, SEM, TG-DTG, and MIP tests. Furthermore, the leaching toxicity of GCE was tested to evaluate the environmental risks. The results showed that the optimum pretreatment effect was achieved under the CS-EMR mass ratio of 1:9. The stabilization of CS-pretreated EMR with 10 % GGBS obtained high strength and good durability, exceeding 10 MPa after 7 days of curing. Furthermore, it also exhibited superior dry-wet and freeze-thaw resistance including high strength retention and little mass loss. Thus, the optimum mass ratio of GGBS, CS and EMR inside GCE was determined to be 1:1:9. The main hydration products in GCE are AFt and C-(A)-S-H gel, which contributed to the formation of dense cemented structure, as well as high strength gaining and good durability. The leaching concentrations of heavy metals and ammonia nitrogen in GCE are extremely low, making it unnecessary to consider environmental risks during utilization. This study develops a sustainable subgrade material and promotes the synergistic resource utilization of industrial solid wastes EMR, CS, and GGBS.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"203 ","pages":"Article 107936"},"PeriodicalIF":7.8,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Single-inductor multiple-output converter for hydrogen electrolyzer arrays in PV-HESS-PEM microgrid using deep neural network based model predictive control","authors":"Binbin Xun ,&nbsp;Xinqiang Tang ,&nbsp;Qing Fu ,&nbsp;Benfei Wang","doi":"10.1016/j.psep.2025.107913","DOIUrl":"10.1016/j.psep.2025.107913","url":null,"abstract":"<div><div>This study investigates a microgrid including photovoltaics (PV), a hybrid energy storage system (HESS), and proton exchange membrane (PEM) hydrogen electrolyzer arrays. HESS mitigates transient power mismatches to regulate bus voltage, while PEM electrolyzers absorb excess PV power. The PEM electrolyzer arrays are integrated into the microgrid via a single-inductor multiple-output (SIMO) DC-DC converter, which reduces the number of inductors and switches compared to conventional solutions, demonstrating excellent scalability for more complex system topologies. To address the cross-regulation issue of the SIMO converter and meet the specific requirements of PEM arrays, a deep neural network-based model predictive control (DNN-MPC) method is proposed. This method overcomes the computational bottlenecks of classical MPC, by leveraging offline training, enabling real-time control. Simulations on a Matlab/Simulink platform verify that DNN-MPC effectively suppresses cross-regulation and drives PEM arrays under various operating scenarios. Comprehensive comparative analysis demonstrates that DNN-MPC achieves superior performance compared to classical MPC, with RMSE reductions of 92.3 %, 92.8 %, and 89.9 % across photovoltaic variation, load change, and system reconfiguration scenarios, respectively. Additionally, the proposed method reduces computational time by 7.0–22.5 % while maintaining excellent voltage tracking accuracy with overall RMSE values below 0.47 V across all tested conditions.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"203 ","pages":"Article 107913"},"PeriodicalIF":7.8,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145227427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of clean fracturing fluids on sustainable coalbed methane mining","authors":"Qian Zhang ,&nbsp;Feng Cai ,&nbsp;Yaxin Liu ,&nbsp;Xinjian Dang ,&nbsp;Yandong Wang ,&nbsp;Yong Luo","doi":"10.1016/j.psep.2025.107930","DOIUrl":"10.1016/j.psep.2025.107930","url":null,"abstract":"<div><div>Modification of coal seams using fracturing fluids is a critical means to enhance methane extraction efficiency from low-permeability coal reservoirs in China. Nevertheless, some of the existing fracturing fluids pose risks of groundwater contamination due to their toxicity and corrosiveness, which severely limits the engineering application of this technology. Three types of green and clean fracturing fluids were developed in this paper using Huainan bituminous coal in China as the research object. Through the combination of macroscopic experiment and molecular dynamics simulation, the systematic study of the changing law of molecular structure, which has an important implication on the gas desorption and permeability characteristics of the treated coal samples, was carried out, and the fracturing fluids suitable for the test coal seam with high efficiency, environmental protection and safety were preferred. The clean fracturing fluid effectively regulates the microcrystalline structure of coal, reduces methane adsorption energy, and improves gas migration pathways. Simultaneously, it enhances electrostatic interactions and interfacial electron transfer to decrease methane-coal interaction energy, thereby synergistically improving methane migration efficiency. The findings are vital for promoting clean production, efficient extraction and safe production of coalbed methane.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"203 ","pages":"Article 107930"},"PeriodicalIF":7.8,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal reaction of silicon with oxygen in diamond wire saw silicon powder waste: Surface oxidation and interface disproportionation","authors":"Shifeng Han ,&nbsp;Shicong Yang ,&nbsp;Kuixian Wei ,&nbsp;Wenhui Ma","doi":"10.1016/j.psep.2025.107929","DOIUrl":"10.1016/j.psep.2025.107929","url":null,"abstract":"<div><div>Diamond wire saw silicon powder (DWSSP) waste contains high-purity silicon, which gives it recycling potential for high-value utilization while addressing associated environmental concerns. However, DWSSP waste is highly susceptible to oxidation, and the resultant surface oxide layer significantly impedes both impurity removal and silicon recovery processes. Although an intermediate silicon monoxide (SiO) layer in DWSSP has been preliminarily identified, the dynamic mechanisms governing its formation and evolution under thermal conditions remain poorly understood. This study systematically investigated the thermal oxidation behavior and interfacial reactions of silicon within DWSSP through controlled oxidation experiments and <em>in-situ</em> transmission electron microscopy. The results indicated that silicon oxidation followed parabolic kinetics, with the oxide layer growing simultaneously inward and outward. Higher temperatures accelerated the diffusion-based oxidation process, while a smaller particle size decreased the activation energy, promoting a higher oxidation rate. This work provides direct evidence that SiO accumulated within the oxide layer undergoes interfacial volatilization and disproportionation reactions that ultimately passivate the surface and inhibit further silicon oxidation. This work clarifies the transformation processes occurring within the surface oxide layer during silicon oxidation in DWSSP, laying theoretical groundwork for silicon resource reclamation through DWSSP waste recycling.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"203 ","pages":"Article 107929"},"PeriodicalIF":7.8,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145182923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical simulation study on VOCs diffusion characteristics and influencing factors in oily sewage pools based on CFD","authors":"Wenming Jiang ,&nbsp;Chaojie Xu ,&nbsp;Yue Bi ,&nbsp;Yang Liu ,&nbsp;Zhengyu Wang ,&nbsp;Xining Xu","doi":"10.1016/j.psep.2025.107859","DOIUrl":"10.1016/j.psep.2025.107859","url":null,"abstract":"<div><div>Oilfield stations are major sources of volatile organic compound (VOC) emissions, with storage tanks and open oily sewage pools as the two primary contributors. While storage tank emissions have been widely studied, research on VOC volatilization and dispersion from open oily sewage pools is still limited. Therefore, a systematic investigation into the dispersion mechanisms of VOCs from open oily sewage pools is necessary. This study employs Computational Fluid Dynamics (CFD) to develop a three-dimensional numerical model based on the operational conditions of a typical oilfield joint station in North China. The model integrates field sampling data and simulations to analyze VOC diffusion under both non-obstacle factors (wind speed, environmental temperature, gas composition, and emission rate) and obstacle factors (storage tanks and buildings). Key findings reveal that wind speed significantly enhances downwind dispersion and dilution, while higher temperatures reduce near ground concentrations but extend diffusion distances. The main VOC components, C₂H₆ and C₃H₈, exhibit distinct diffusion behaviors, with C₃ hydrocarbons playing a dominant role in the dispersion process. Obstacles such as storage tanks and buildings induce flow recirculation and local concentration accumulation, increasing explosion risks. This work provides a scientific basis for predicting the diffusion patterns of VOCs, optimizing the layout of monitoring points, and guiding risk mitigation strategies for open oily sewage pools in oilfields.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"203 ","pages":"Article 107859"},"PeriodicalIF":7.8,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}