Process Safety and Environmental Protection最新文献

{"title":"Advance in organophosphorus pesticides detection technology based on acetylcholinesterase inhibition","authors":"Wenzhe Zhao ,&nbsp;Jueru Lu ,&nbsp;Haoxin Chen,&nbsp;Zhen Wang,&nbsp;Shan Gao,&nbsp;Yuan Gao,&nbsp;Jun Wang","doi":"10.1016/j.psep.2025.107846","DOIUrl":"10.1016/j.psep.2025.107846","url":null,"abstract":"<div><div>With the increasing global population and diminishing arable land, organophosphorus pesticides (OPs) play a crucial role in safeguarding agricultural production. However, their residues pose significant threats to ecosystems and human health through the food chain. Enzyme biosensors based on the inhibition principle of acetylcholinesterase (AChE) have emerged as vital technologies for the rapid on-site detection of OPs residues due to their high sensitivity, selectivity, and portability. Taking AChE as a prime example, this review systematically summarizes the latest advances in technologies based on the enzyme inhibition principle for OPs detection. It critically examines the applications of colorimetric methods, fluorometric methods, electrochemical sensors, and other emerging techniques. While current technologies have significantly improved detection performance, achieving detection limits at the μg•L⁻¹ level, for instance, with smartphone-assisted platforms, challenges remain, including enzyme instability, limited quantitative range, and matrix interference. Future research needs to integrate artificial intelligence-assisted enzyme design, multifunctional nanomaterials, and portable devices to advance the development of next-generation, highly robust detection technologies. This review offers a comprehensive assessment of the current state-of-the-art and future perspectives, serving as a valuable resource for researchers in this field.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"203 ","pages":"Article 107846"},"PeriodicalIF":7.8,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046111","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":"Inverse design of three-dimensional electrocatalytic oxidation process for water purification via machine learning and DFT-based descriptors","authors":"Linjin Li ,&nbsp;Qiyao Wang ,&nbsp;Yaoze Wang ,&nbsp;Guangfei Qu ,&nbsp;Yingying Cai ,&nbsp;Rui Xu ,&nbsp;Ming Jiang ,&nbsp;Nanqi Ren","doi":"10.1016/j.psep.2025.107852","DOIUrl":"10.1016/j.psep.2025.107852","url":null,"abstract":"<div><div>Three-dimensional electrocatalytic oxidation (3DECO) process has become a research hotspot in the treatment of refractory organic pollutants because of its no need for no chemical reagents and high degradation efficiency. However, its complex process parameters and nonlinear reaction characteristics restrict the rapid acquisition of efficient operating conditions. In this study, a reverse design framework based on machine learning is proposed to optimize the water purification process of 3DECO. By integrating 5704 groups of experimental data, a multidimensional database covering quantum chemical parameters of pollutants (such as Fukui index and HOMO energy level) and reaction conditions (such as current density and electrolyte concentration) was constructed, and the prediction performance of multiple linear regression (MLR), support vector machine (SVM), random forest (RF), and back propagation neural network (BPNN) was systematically compared. The results show that the introduction of reaction condition variables significantly improves the performance of the model. The determination coefficient (R) of the BPNN model in the external test set is 0.91, and the root mean square error (RMSE) is 0.74. Based on the characteristic importance analysis of SHAP (Shapley Additive Explanations), it is revealed that current density, particle electrode load, and pollutant band gap energy (Egap) are the key control factors. Through the particle swarm optimization (PSO) algorithm, the customized operation parameters are designed in reverse. The experimental results show that the removal rate under the optimized conditions is 99.45 %, and the relative error between the experimental value and the predicted value is less than 5 %. This study provides a new data-driven paradigm for the intelligent design and large-scale application of 3DECO technology, and reveals the future improvement direction of model interpretability and cross-scene generalization ability. This study provides an explainable and verifiable machine learning-driven solution for efficient and low-carbon 3DECO process parameter configuration, and also provides a path for data-driven environmental process optimization.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"202 ","pages":"Article 107852"},"PeriodicalIF":7.8,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018897","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":"Activation of peroxymonosulfate by cobalt-iron nanoparticles anchored on nitrogen-doped biochar for efficient removal of tetracycline from water: Free radical and non-free radical pathways","authors":"Fen Liu ,&nbsp;Gang He ,&nbsp;Fangke Yu ,&nbsp;Xiaohui Wu","doi":"10.1016/j.psep.2025.107856","DOIUrl":"10.1016/j.psep.2025.107856","url":null,"abstract":"<div><div>This study successfully synthesized a biochar composite of cobalt, iron, and nitrogen (FeCo@NBC), which was then utilized to activate peroxymonosulfate (PMS) for the removal of Tetracycline (TC). The surface morphology and physico-chemical properties of the synthesized FeCo@NBC catalyst were characterized using SEM, XRD, Raman, XPS and VSM. Studies were conducted into the effects of FeCo@NBC dosage, PMS concentration, initial pH, reaction temperature, co-existing anions on TC removal were investigated. Combining the results of electron paramagnetic resonance (EPR), XPS and quenching experiments, a possible catalytic mechanism for the degradation of TC by FeCo@NBC-activated PMS was proposed. The mechanism of radical-unradical synergism was elucidated, in which the non-radical pathway dominated by single-linear oxygen and electron transfer, and the possible degradation pathways of TC were speculated. In addition, the Co(II), Fe(II), graphite N and C<img>O groups of FeCo@NBC are the main active sites. FeCo@NBC has strong anti-disturbance properties, low metal leaching, the ability to activate a variety of oxidants, and the ability to be recovered by magnetism, making it a new option for the resourceful use of agricultural waste and for the practical treatment of antibiotic wastewater.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"203 ","pages":"Article 107856"},"PeriodicalIF":7.8,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145048268","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":"Optimization of MBBR performance for rural domestic wastewater: Effects of carrier type, operating conditions, and zooplankton regulation","authors":"Bentuo Xu ,&nbsp;Hailin Wang ,&nbsp;Haowen Zhang ,&nbsp;Mengjie Pu ,&nbsp;Min Zhao ,&nbsp;Fujii Tadayukic ,&nbsp;Xiangyong Zheng","doi":"10.1016/j.psep.2025.107847","DOIUrl":"10.1016/j.psep.2025.107847","url":null,"abstract":"<div><div>The moving bed biofilm reactor (MBBR) process has shown great potential for rural domestic sewage treatment due to its advantages in operation stability, high mass transfer efficiency, and effective pollutant removal. However, its application in rural of China remains limited. This study evaluated key operational parameters of the MBBR system, including carrier type, filling ratio, air-to-water ratio, hydraulic retention time (HRT), and biofilm management through zooplankton intervention, to optimize its performance for rural wastewater treatment. Results demonstrated that polyurethane (PU) sponge fillers achieved superior removal of total nitrogen (TN) and ammonium nitrogen (NH₄⁺-N) compared to conventional K1 and K3 fillers, while maintaining comparable removal efficiencies for total phosphorus (TP) and chemical oxygen demand (COD). The optimal performance was observed at an air-to-water ratio of 20:1, HRT of 24 h, and a filling rate of 80 %, under which COD, NH₄⁺-N, TN, and TP removal efficiencies reached 94.92 %, 85.61 %, 81.70 %, and 37.19 %, respectively. Zooplankton addition experiments revealed that rotifers enhanced nitrogen and phosphorus removal to some extent, though accompanied by increased effluent turbidity, while paramecium showed minimal impact. Combined addition of both organisms promoted biofilm activity, with rotifers playing a more significant role in controlling biofilm overgrowth. These findings offer practical guidance for the efficient application of MBBR systems in decentralized rural wastewater management.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"202 ","pages":"Article 107847"},"PeriodicalIF":7.8,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145026891","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":"Synergistic removal mechanism of U(VI) from uranium wastewater by Ca-Al Co-doped phosphate-functionalized chitosan","authors":"Yaolong Zhang ,&nbsp;Yuanpei Li ,&nbsp;Xiankun Zhou ,&nbsp;Xu Zhao ,&nbsp;Hongqiang Wang ,&nbsp;Zhiwu Lei ,&nbsp;Qingliang Wang","doi":"10.1016/j.psep.2025.107818","DOIUrl":"10.1016/j.psep.2025.107818","url":null,"abstract":"<div><div>An Ca-Al co-doped phosphate-functionalized chitosan composite remover (CS@CAP) was synthesized using chitosan as the biomass substrate. removal kinetics and thermodynamics analyses indicated that CS@CAP achieves an exceptional theoretical maximum Removal capacity of 2408 mg·g⁻¹ for U(VI) at 298 K and pH 5.0, with chemisorption identified as the dominant mechanism. The spontaneous exothermic of the removal process confirms the superior performance of CS@CAP at ambient or lower temperatures. In simulated wastewater containing multiple competing cations, a distribution coefficient (K_d) of 3.43 × 10⁶ mL·g⁻¹ demonstrated outstanding selectivity for U(VI). Characterization analyses revealed that both phosphate and hydroxyl groups on the chitosan backbone participated in UO₂²⁺ complexation, concurrently facilitating the precipitation of crystalline Ca(UO₂)₂(PO₄)₂·10 H₂O and Al(UO₂)₃(PO₄)₃·10 H₂O. Notably, Ca(OH)₂ and Al(OH)₃ co-doping synergistically enhanced complexation and served as nucleation sites for crystallization. The engineered CS@CAP composite demonstrates significant potential for efficient remediation of uranium-contaminated wastewater through chemisorption- crystallization mechanisms.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"202 ","pages":"Article 107818"},"PeriodicalIF":7.8,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145026893","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":"Experimental study on the crack propagation characteristics of drilled-slit and grouted rock samples based on CT three-dimensional scanning","authors":"Jianhua Fu ,&nbsp;Xuelong Li ,&nbsp;Hengjie Qin ,&nbsp;Shuailin Wang ,&nbsp;Shumin Liu ,&nbsp;Zhiming Wang ,&nbsp;Zeqi Wu ,&nbsp;Zhen Lou","doi":"10.1016/j.psep.2025.107808","DOIUrl":"10.1016/j.psep.2025.107808","url":null,"abstract":"<div><div>Gas leakage in cross-layer drainage boreholes compromises methane extraction efficiency through reduced concentration and recovery rates, while increasing residual gas content and coal outburst risks. This phenomenon further exacerbates operational hazards, including excessive gas emissions during mining activities and potential coal-gas outburst incidents. To address sealing challenges in deep coal seams, this study conducts an inquiry into the effectiveness of slit-grouting technology through triaxial compression tests and industrial CT scanning. The experimental protocol examines strength variations and fracture propagation patterns in rock specimens under different slit configurations. Key findings indicate that increased slit quantity enhances fracture network complexity while improving grout distribution uniformity. However, it simultaneously reduces specimen strength (by 3.3–12.1 %) and permeability (by 0.66–18.94 % compared to the unslitted grouted sample, G0). Post-failure analysis demonstrates linear correlations between slit quantity and three-dimensional fracture parameters: fracture volume (by 2.52–40.12 %) and fractal dimension (+0.0849 units per slit) increase proportionally, while Euler number decreases correspondingly (R²=0.84). Pore network analysis indicates enhanced topological connectivity with additional slits. Optimization studies identify single-slit configuration as optimal, balancing structural integrity with effective sealing performance. These findings establish a scientific foundation for advanced sealing technologies, offering dual benefits in outburst prevention and methane emission control - indispensable for sustainable mining operations and greenhouse gas mitigation.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"202 ","pages":"Article 107808"},"PeriodicalIF":7.8,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145026892","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":"Predicting initial spread rate of continuous spill fires using machine learning","authors":"Jie Chen,&nbsp;Jia Song,&nbsp;Haihang Li,&nbsp;Di Meng","doi":"10.1016/j.psep.2025.107822","DOIUrl":"10.1016/j.psep.2025.107822","url":null,"abstract":"<div><div>Continuous spill fires pose significant hazards in industrial settings, with their rapid initial spread being a critical factor in fire escalation. To effectively predict the development of fires and achieve early control, this study applies machine learning models for prediction, specifically by collecting a large amount of previous experimental data on sustained spill fires, the spreading and combustion behaviors of fuels at different spill rates are thoroughly analyzed. In order to evaluate the key parameters affecting the development of spill fires, three advanced ML models, namely, Random Forest, Gradient Boosting, and Support Vector Machine Regression prediction model, were employed, and a Random Forest prediction model with a coefficient of determination (R²) of 0.91 and a mean square error of 0.15 was successfully constructed for accurately predicting the spread rate of the fuel in the initial spreading stage. The results of the study showed that fuel discharge rate was the most important factor influencing the initial spread rate, and among the eight influencing factors fuel discharge rate accounted for 56.3 % of the overall importance, next in sequence are slope, which accounts for 14.3 %, followed by substrate width at 11.1 %, substrate thermal conductivity making up 8 %, fuel properties representing 6 %, and fuel heat of combustion contributing 3 %, and lastly longitudinal wind speed, it was found that the open space and the tunnel space did not have a significant effect on the initial spread rate of spill fires.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"202 ","pages":"Article 107822"},"PeriodicalIF":7.8,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018898","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":"Reductive modification of electrolytic manganese residue unlocks multifunctional active sites for enhanced peroxymonosulfate activation and aniline aerofloat removal","authors":"Jieyi Wang ,&nbsp;Mengke Li ,&nbsp;Chenquan Ni ,&nbsp;Yuting Liang ,&nbsp;Zhiguo He","doi":"10.1016/j.psep.2025.107839","DOIUrl":"10.1016/j.psep.2025.107839","url":null,"abstract":"<div><div>The preparation of catalysts for peroxymonosulfate (PMS) activation usually entails substantial costs and intricate steps. In this study, a novel catalyst (2FA-EMR) was successfully obtained from electrolytic manganese residue (EMR) through reduction modification. 2FA-EMR exhibited a loose and porous surface morphology, removing 95.88 % aniline aerofloat (AAF, 100 mg/L) within 120 min. The reaction rate constant (<em>k</em>_<em>o</em>_<em>bs</em>) of 2FA-EMR reached 17.5 times that of unmodified EMR. Mechanism analysis revealed that oxygen vacancies (O_V) and low-velent Fe/Mn in diverse Fe and Mn phases were the key active sites for AAF degradation. The synergistic effect among them enhanced the electron transfer efficiency between 2FA-EMR and PMS, thereby promoting the generation of reactive oxygen species (ROS). ¹O₂ was identified as the dominant ROS responsible for AAF degradation in the 2FA-EMR/PMS system, originating from the conversion of Ov and O₂^•− and preferentially attacking the P-N bond of AAF. Additionally, the mild and continuous reaction process achieved a mineralization degree of over 75 %. The study furnished a meaningful reference for the development of cost-effective and easy-to-prepare catalysts for PMS activation.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"202 ","pages":"Article 107839"},"PeriodicalIF":7.8,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145019009","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":"Extensive evaluation for potential of coal gasification slag for mine cemented backfilling: Performance, environment, and techno-economic","authors":"Xinyuan ZHAO ,&nbsp;Ke YANG ,&nbsp;Zhen WEI ,&nbsp;Yongqiang HOU","doi":"10.1016/j.psep.2025.107837","DOIUrl":"10.1016/j.psep.2025.107837","url":null,"abstract":"<div><div>Underground green cemented backfilling can effectively dispose of coal gasification slag (CGS) on a large scale, solving significant environmental issues caused by improper storage on the ground. However, the potential of underground green backfilling with CGS lacks extensive and scientific evaluation. This study focuses on the research progress of CGS as a component of mine backfill materials, and evaluates the potential of CGS for mine cemented backfilling from performance, environment, and technical economy. The results show that an appropriate amount of CGS (≤10 %-20 %) can generally improve the physical and mechanical properties of backfill materials, except the flexural strength. The potential influence mechanism of CGS on the fluidity, rheology, stability and mechanical properties of backfill materials with different components is divided into particle size effect and compositional effect, including particle size gradation improvement and filling effect, residual carbon and pozzolanic active components. Due to potential solidification/stabilization mechanisms of heavy metal, including solubility, physical and chemical behavior, the leaching risk of CGS-based backfill materials is generally reduced. Technical and economic analysis shows that underground cemented backfilling with CGS has reliable technical support to meet multiple backfilling scenarios and demands. CGS-based backfill materials have lower unit costs and potential engineering costs, further enhancing the potential of CGS for green backfilling in mines.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"202 ","pages":"Article 107837"},"PeriodicalIF":7.8,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145003675","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":"Incorporation of 2D/3D porous materials in 6FDA-DAM polyimide-based membranes with enhanced CO2-based separation performance and aging resistance","authors":"Dohyoung Kang ,&nbsp;Hobin Jee ,&nbsp;Changhyuk Kim ,&nbsp;Sukbyung Chae ,&nbsp;Sang-Joon Kim ,&nbsp;Seonki Lee ,&nbsp;Keunje Yoo ,&nbsp;Kyu-Jung Chae ,&nbsp;Jungmin Lee ,&nbsp;Soonchul Kwon ,&nbsp;Chong Yang Chuah ,&nbsp;Euntae Yang","doi":"10.1016/j.psep.2025.107817","DOIUrl":"10.1016/j.psep.2025.107817","url":null,"abstract":"<div><div>6FDA-DAM-based mixed-matrix membranes (MMMs) were created by simultaneously incorporating two-dimensional (2D) hexagonal boron nitride (h-BN) and three-dimensional (3D) porous nickel hexacyanoferrate (NiHCF) to alleviate the trade-off between permeability and selectivity, as well as physical aging in polymeric membranes. Each nanofiller played a complementary role: h-BN contributed to improving the mixed-gas selectivity, while NiHCF enhanced both permeability and selectivity. Experimental results showed that the CO₂ separation performance of the MMM with dual additives was moderately enhanced as compared to the pristine 6FDA-DAM membrane. Under the condition of 2 wt% h-BN and 5.5 wt% NiHCF, the CO₂ permeability increased by approximately 32.6 %, while the CO₂/N₂ selectivity increased by 9.5 %. Moreover, the performance degradation caused by physical aging after 15 months was partially mitigated. While the pristine 6FDA-DAM membrane showed a 64.3 % and 60.7 % decrease in CO₂ permeability and selectivity, respectively, MMM with 2 wt% h-BN and 5.5 wt% NiHCF exhibited lower degradation rates, which registered at 56.3 % and 56.7 %, respectively. These results suggest that the additives stabilize the pore structure of the polymer, thereby suppressing polymer chain rearrangement and loss of free volume.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"202 ","pages":"Article 107817"},"PeriodicalIF":7.8,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145026894","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}