Decreasing Greenhouse Gas Emissions from the Municipal Solid Waste Sector in Chinese Cites.

Municipal solid waste (MSW) management systems play a crucial role in greenhouse gas (GHG) emissions in China. Although the government has implemented many policies to improve the MSW management system, the impact of these improvements on city-level GHG emission reduction remains largely unexplored. This study conducted a comprehensive analysis of both direct and downstream GHG emissions from the MSW sector, encompassing sanitary landfill, dump, incineration, and biological treatment, across 352 Chinese cities from 2001 to 2021 by adopting inventory methods recommended by the Intergovernmental Panel on Climate Change (IPCC). The results reveal that (1) GHG emissions from the MSW sector in China peaked at 70.6 Tg of CO2 equiv in 2018, followed by a significant decline to 47.6 Tg of CO2 equiv in 2021, (2) cities with the highest GHG emission reduction benefits in the MSW sector were historical emission hotspots over the past 2 decades, and (3) with the potential achievement of zero-landfilling policy by 2030, an additional reduction of 203.7 Tg of CO2 equiv is projected, with the emission reduction focus toward cities in South China (21.9%), Northeast China (17.8%), and Southwest China (17.3%). This study highlights that, even without explicit emission reduction targets for the MSW sector, the improvements of this sector have significantly reduced GHG emissions in China.

MRI brain structural and functional networks changes in Parkinson disease with REM sleep behavior disorders.

Background: Rapid eye movement sleep behavior disorder (RBD) is common in individuals with Parkinson's disease (PD). In spite of that, the precise mechanism underlying the pathophysiology of RBD among PD remains unclear. Objective: The aim of the present study was to analyze gray matter volumes (GMVs) as well as the changes of functional connectivity (FC) among PD patients with RBD (PD-RBD) by employing a combination of voxel-based morphometry (VBM) and FC methods. Methods: A total of 65 PD patients and 21 healthy control (HC) subjects were included in this study. VBM analyses were performed on all subjects. Subsequently, regions with significant different GMVs between PD patients with and without RBD (PD-nRBD) were selected for further analysis of FC. Correlations between altered GMVs and FC values with RBD scores were also investigated. Additionally, receiver operating characteristic (ROC) curves were employed for the evaluation of the predictive value of GMVs and FC in identifying RBD in PD. Results: PD-RBD patients exhibited lower GMVs in the left middle temporal gyrus (MTG) and bilateral cuneus. Furthermore, we observed higher FC between the left MTG and the right postcentral gyrus (PoCG), as well as lower FC between the bilateral cuneus (CUN) and the right middle frontal gyrus (MFG) among PD-RBD patients in contrast with PD-nRBD patients. Moreover, the GMVs of MTG (extending to the right PoCG) was positively correlated with RBD severity [as measured by REM Sleep Behavior Disorder Screening Questionnaire (RBDSQ) score]. Conversely, the FC value between the bilateral CUN and the right MTG in PD-RBD patients was negatively correlated with RBDSQ score. Conclusion: This study revealed the presence replace with GMV and FC changes among PD-RBD patients, which were closely linked to the severity of RBD symptoms. Furthermore, the combination of basic clinical characteristics, GMVs and FC values effectively predicted RBD for individuals with PD.

Assessing the city-level material stocks in landfills and the landfill mining potential of China.

Landfill mining has become an emerging issue in urban metabolism research and environmental remediation practices. Comprehensive understanding of the quantity and distribution of material stocks in landfills, as well as identifying hotspots of landfill mining potential, is of crucial importance. However, high-resolution datasets and systematic analytical tools remain insufficient. This study established a time-series landfill material stock inventory at prefecture level in China. An evaluation system for mining potential of landfills at prefecture level was then constructed using an integrated expert scoring and entropy weight method, based on ten indicators across five dimensions, including environmental impact, energy recovery, resource cycling, economic cost, and social aspect. The results show that over the past twenty years, the material stock in landfills was 2321.07 Tg (106 tons) in China, among which, soil-like materials, ash & stone and plastic & rubber were the three largest fractions, accounting for 61.06 wt%, 18.96 wt%, and 12.69 wt% of the total stock. Regional differences in landfill mining potential were found to be significant, with South China presenting the largest mining potential, while Southwest China showed the lowest. Cities with better economic development in China show the possibility to have greater landfill mining potential. This study established a methodology for the assessment of landfill mining potential for China or other countries, and provided scientific evidences for formulating regional-specific policies on landfill mining in China.

[Assessment of the Multidimensional Performances of Food Waste Utilization Technologies in China].

In recent years, China has made great efforts to carry out source-separation in municipal solid waste management; in particular, the utilization of food waste has received increasing attention. Food waste-utilizing technologies, including anaerobic digestion, aerobic biological treatment, and insect feed conversion, are currently applied in China. However, in the existing cases, there were several disadvantages, such as a low rate of utilization, significant environmental impacts, poor economic benefits, etc., as well as a lack of systematic analysis and comprehensive assessment of the performances of food waste utilization technologies. In this study, a four-dimensional performance assessment method (resource efficiency, environmental impact, economic feasibility, and social effect, with 21 indicators) was established for assessing the life cycle process of food waste utilization technologies. We collected detailed information of 14 typical food waste utilization cases in China, and the results showed that the average scores of anaerobic digestion and insect feed conversion were 58.39 and 59.65, higher than those of the aerobic biological treatment (49.16). The highest scores among all subdivision technologies were centralized black soldier fly conversion and mesophilic wet anaerobic digestion, which were 67.14 and 60.82, respectively. With respect to the technologies of different treatment capacities and distribution modes, i.e., centralized and decentralized technologies, the resource efficiency and economic benefit scores of the former were 13% and 62% higher than those of the latter, whereas the environmental impacts and social effect scores of the latter were 8% and 34% greater than those of the former, respectively. In practice, the utilization technology of food waste should be chosen according to local conditions, such as the physical and chemical properties of food waste, the classification of municipal solid waste, financial affordability, collection and transportation distance, etc.

Low serum uric acid levels may be a potential biomarker of poor sleep quality in patients with Parkinson's disease.

BACKGROUND: Sleep disorders are common non-motor symptoms in patients with Parkinson's disease (PD). However, the pathogenesis of sleep disorders in PD patients remains unclear. Previous studies have implicated oxidative stress in sleep disorders associated with PD. Considering uric acid (UA) acts as a natural antioxidant, in this study, we aimed to assess the use of serum UA as a potential biomarker of sleep disorder in PD patients. METHODS: This study recruited 149 PD patients and 84 Age- and sex-matched individuals. According to the Pittsburgh Sleep Quality Index (PSQI) score, PD patients were divided into three groups, good (≤5), intermediate (6-10), and poor (>10). Multivariate logistic regression and receiver operating characteristic (ROC) curve analyses were also performed to identify clinical features and serum UA levels that help establish an accurate diagnostic model for poor sleep quality in PD patients. RESULTS: PD patients who experienced poor sleep quality had lower serum UA levels. PSQI scores have significant negative relationships with serum UA levels and significant positive relationships with Hamilton Depression Scale (HAMD) scores in PD. Poor sleep quality was independently associated with serum UA levels and HAMD scores. A serum UA level of 328.7 µmol/L and HAMD scores of 19.5 could distinguish PD patients with poor or intermediate sleep to a certain extent, sensitivity of 79.4% and specificity of 76.6%. CONCLUSIONS: Low serum UA levels may correlate with the severity of sleep disorder in PD patients and may serve as a biomarker for poor sleep quality in PD.

How does the "Zero-waste City" strategy contribute to carbon footprint reduction in China?

The "Zero-waste City" program and carbon peak plan are currently vital environmental strategies in China. Solid waste management systems are closely related to greenhouse gas emissions, and "Zero-waste City" programs are highlighted because of their great potential for carbon footprint reduction and pollution mitigation. However, a knowledge gap remains in terms of quantifying the carbon footprint when implementing "Zero-waste City" programs. Here, we developed a methodology for accounting for the carbon footprint of a solid waste management system, and Ningbo city, which is one of the first demonstration "Zero-waste Cities" in China, was chosen as the study case. The material flow and carbon footprint of construction and demolition waste, industrial waste, hazardous waste, sludge, and municipal solid waste were analyzed. The results show that the carbon footprint of the solid waste management system in Ningbo city was -1679.9 Gg CO2_eq in 2018, which can be divided into 3472.5, 1131.3, and -6283.8 Gg CO2_eq by Scopes 1, 2, and 3, respectively. According to the scenario analysis, the SWMS in Ningbo city can achieve a carbon footprint reduction potential of at least 5771.5 Gg CO2_eq by 2025, by implementing the "Zero-waste City" strategy. This suggests that waste minimization, construction and demolition waste recycling, and municipal solid waste recycling are the most effective measures for carbon footprint reduction.

Abnormal cortical atrophy and functional connectivity are associated with depression in Parkinson's disease.

Objective: This study aimed to investigate the association of altered cortical thickness and functional connectivity (FC) with depression in Parkinson's disease (PD). Materials and methods: A total of 26 non-depressed PD patients (PD-ND), 30 PD patients with minor depression (PD-MnD), 32 PD patients with major depression (PD-MDD), and 30 healthy controls (HC) were enrolled. Differences in cortical thickness among the four groups were assessed, and the results were used to analyze FC differences in regions of cortical atrophy. Binary logistic regression and receiver operating characteristic (ROC) curve analyses were also performed to identify clinical features and neuroimaging biomarkers that might help in the prediction of PD-MDD. Results: Patients with PD-MDD showed decreased cortical thickness compared to patients with PD-ND in the left superior temporal and right rostral middle frontal gyri (RMFG), as well as weak FC between the left superior temporal gyrus and right cerebellum posterior lobe and between right RMFG and right inferior frontal gyrus and insula. The combination of cortical thickness, FC, and basic clinical features showed strong potential for predicting PD-MDD based on the area under the ROC curve (0.927, 95% CI 0.854-0.999, p < 0.001). Conclusion: Patients with PD-MDD show extensive cortical atrophy and FC alterations, suggesting that cortical thickness and FC may be neuroimaging-based diagnostic biomarkers for PD-MDD.

Cortical atrophy is associated with cognitive impairment in Parkinson's disease: a combined analysis of cortical thickness and functional connectivity.

We aimed to perform a combined analysis of cortical thickness and functional connectivity to explore their association with cognitive impairment in Parkinson's disease (PD). A total of 53 PD and 15 healthy control subjects were enrolled. PD patients were divided into PD with normal cognition (PD-NC, n = 25), PD with mild cognitive impairment (PD-MCI, n = 11), and PD with dementia (PDD, n = 17). In some analyses, the PD-MCI and PDD groups were aggregated to represent "PD patients with cognitive impairment". Cognitive status was assessed with the Mini-Mental State Examination (MMSE). Anatomical magnetic resonance imaging and resting-state functional connectivity analysis were performed in all subjects. First, surface-based morphometry measurements of cortical thickness and voxels with cortical thickness reduction were detected. Then, regions showing reduced thickness were analyzed for changes in resting-state functional connectivity in PD involving cognitive impairment. Our results showed that, compared with PD-NC, patients with cognitive impairment showed decreased cortical thickness in the left superior temporal, left lingual, right insula, and right fusiform regions. PD-MCI patients showed these alterations in the right lingual region. Widespread cortical thinning was detected in PDD subjects, including the left superior temporal, left fusiform, right insula, and right fusiform areas. We found that cortical thinning in the left superior temporal, left fusiform, and right temporal pole regions positively correlated with MMSE score. In the resting-state functional connectivity analysis, we found a decrease in functional connectivity between the cortical atrophic brain areas mentioned above and cognition-related brain networks, as well as an increase in functional connectivity between those region and the cerebellum. Alterations in cortical thickness may result in a dysfunction of resting-state functional connectivity, contributing to cognitive decline in patients with PD. However, it is more probable that the relation between structure and FC would be bidirectional,and needs more research to explore in PD cognitve decline.

Association between levels of high-sensitivity C-reactive protein in plasma and freezing of gait in Parkinson's disease.

This study explored the potential relationship between levels of high-sensitivity C-reactive protein (hs-CRP) in plasma and freezing of gait (FOG) in Parkinson's disease (PD) in China. A total of 72 healthy subjects, 62 PD patients with FOG, and 83 PD patients without FOG from our center were enrolled in this prospective study. Patients with FOG showed significantly higher hs-CRP levels than controls, but patients without FOG did not. Binary logistic regression analysis identified levels of hs-CRP in plasma to be an independent risk factor for FOG among the patients in our cohort (OR 6.371, 95% CI 2.589-15.678, p < 0.001). In fact, a cut-off level of 0.935 mg/L distinguished patients with or without FOG [area under the ROC curve (AUC) = 0.908, sensitivity 87.1%, specificity 89.2%]. Our study suggests that high levels of hs-CRP in plasma are associated with the occurrence of FOG in PD. The pooled data combined with a previous study carried out in Spain also indicate a positive association between plasma hs-CRP levels and FOG in PD. However, more research is still needed to verify the plasma hs-CRP as a potential biomarker of FOG.

Downregulation of CHCHD2 may Contribute to Parkinson's Disease by Reducing Expression of NFE2L2 and RQCD1.

BACKGROUND: Parkinson's disease (PD) is associated with coiled-coil-helix-coiled-coilhelix domain containing 2 (CHCHD2) downregulation, which has been linked to reduced cyclocytase activity and increased levels of oxygen free radicals, leading to mitochondrial fragmentation and apoptosis. Little is known about how CHCHD2 normally functions in the cell and, therefore, how its downregulation may contribute to PD. OBJECTIVE: This study aimed to identify such target genes using chromatin immunoprecipitation sequencing from SH-SY5Y human neuroblastoma cells treated with neurotoxin 1-methyl-4- phenylpyridinium (MPP+) as a PD model. METHODS: In this study, we established a MPP+ -related SH-SY5Y cell model and evaluated the effects of CHCHD2 overexpression on cell proliferation and apoptosis. At the same time, we used high-throughput chromatin immunoprecipitation sequencing to identify its downstream target gene in SH-SY5Y cells. In addition, we verified the possible downstream target genes and discussed their mechanisms. RESULTS: The expression level of α-synuclein increased in SH-SY5Y cells treated with MPP+, while the protein expression level of CHCHD2 decreased significantly, especially after 24 h of treatment. Chip-IP results showed that CHCHD2 might regulate potential target genes such as HDX, ACP1, RAVER2, C1orf229, RN7SL130, GNPTG, erythroid 2 Like 2 (NFE2L2), required for cell differentiation 1 homologue (RQCD1), solute carrier family 5 member 7 (SLA5A7), and NAcetyltransferase 8 Like (NAT8L). NFE2L2 and RQCD1 were validated as targets using PCR and western blotting of immunoprecipitates, and these two genes together with SLA5A7 and NAT8L were upregulated in SH-SY5Y cells overexpressing CHCHD2. Downregulation of CHCHD2 may contribute to PD by leading to inadequate expression of NFE2L2 and RQCD1 as well as, potentially, SLA5A7 and NAT8L. CONCLUSION: Our results suggest that CHCHD2 plays a protective role by maintaining mitochondrial homeostasis and promoting proliferation in neurons. In this study, the changes of CHCHD2 and downstream target genes such as NFE2L2/RQCD1 may have potential application prospects in the future. These findings provide leads to explore PD pathogenesis and potential treatments.

Plasma neurofilament light chain levels are associated with depressive and anxiety symptoms in Parkinson's disease.

The present study aimed to explore the association of plasma neurofilament light chain (NfL) levels with depression and anxiety in Parkinson's disease (PD). This prospective study enrolled 116 patients with PD and 38 healthy controls, and found plasma NfL levels were higher in patients with depression or anxiety than in those without these symptoms. Binary logistic regression identified NfL concentration as an independent predictor of depression and anxiety in PD. In conclusion, elevated plasma NfL may be associated with severity of depression and anxiety in PD patients and may serve as a diagnostic biomarker of PD with moderate to severe depression or anxiety.

REM sleep behavioral disorder may be an independent risk factor for orthostatic hypotension in Parkinson's disease.

PURPOSE: The purpose of this study was to evaluate the association between clinically possible rapid eye movement (REM) sleep behavioral disorder (pRBD) and orthostatic hypotension (OH) in PD patients, as well as to explore the mechanisms underlying the association. METHODS: PD patients (n = 116) were assigned to a group with OH (PD-OH) or without OH (PD-NOH). General demographic and clinical data were collected. A series of scales were used to assess the clinical symptoms in the two groups. RESULTS: A total of 27 patients (23.3%) had OH. The PD-OH group showed significantly higher H-Y staging score and significantly higher frequencies of pRBD, anxiety, depression, and cognitive impairment than the PD-NOH group. Binary logistic regression analysis identified the following factors as independently associated with PD-OH: H-Y staging [odds ratio (OR) 2.565, 95% confidence interval (CI) 1.160-5.673; P = 0.020], RBD (OR 7.680, 95% CI 1.944-30.346; P = 0.004), UPDRS II (OR 1.021, 95% CI 0.980-1.063; P = 0.020), depression (OR 7.601, 95% CI 1.492-38.718; P = 0.015), and cognitive impairment (OR 0.824, 95% CI 0.696-0.976; P = 0.025). CONCLUSIONS: Our results suggest that pRBD is an independent risk factor for OH in patients with PD. We speculate that there may be a close relationship between RBD and OH, which requires attention. Early diagnosis of RBD may help predict the appearance of OH in PD patients.

Association between plasma neurofilament light chain levels and cognitive function in patients with Parkinson's disease.

This study investigated the potential association between levels of plasma neurofilament light chain (NfL) and cognitive function in patients suffering from Parkinson's disease (PD) in P.R. China.We collected a total of 168 participants (130 PD patients and 38 healthy controls),and evaluated the relationship of plasma NfL levels with cognitive dysfunction in PD patients. Our results shown that plasma NfL levels increased with an increase in cognitive impairment across the three groups of PD patients: PD with normal cognition (PD-NC), 17.9 ± 8.9 pg/ml; PD with mild cognitive impairment (PD-MCI),21.9 ± 10.3 pg/ml; and PD dementia (PDD), 35.7 ± 21.7 pg/ml. Higher MMSE scores were associated with lower plasma NfL levels (r = -0.49, 95% CI -0.61 to -0.34, p < 0.0001). Our results associating plasma NfL levels with cognitive dysfunction in PD are consistent with previous studies carried out in several countries/district, based on our meta-analysis.

Resting-state functional magnetic resonance imaging of the cerebellar vermis in patients with Parkinson's disease and visuospatial disorder.

PURPOSE: Visuospatial disorders (VSDs) are common in Parkinson's disease (PD). VSDs may involve cerebellar vermis, but evidence from functional connectivity (FC) studies is lacking. Here we compared FC between cerebellar vermis and the entire brain between PD patients with or without VSD, and between patients and healthy controls. METHODS: Resting-state 3.0-T functional magnetic resonance imaging was performed on 19 controls, 31 PD patients with VSD and 12 PD patients without VSD. Correlations in brain network were calculated between eight regions of interest in the cerebellar vermis (I-VIII) and other voxels in the brain, and voxel-based FC was analyzed. Patients were assessed in terms of cognitive function as well as motor and non-motor symptoms. RESULTS: In both types of patients, cerebellar vermis VIII, IX and X showed positive FC with the default-mode network (DMN), executive control network and sensorimotor network. Cerebellar vermis I and II showed positive FC with the visual network and DMN in controls, but negative FC in PD patients without VSD. Cerebellar vermis X showed negative FC with lobules VIII and IX of the left cerebellar hemisphere in controls, but positive FC in PD patients with VSD. CONCLUSION: Positive FC connecting the cerebellar vermis VIII and X with associated brain networks in PD patients with VSD may be compensatory activation. PD may involve disruption of functional coupling between the cerebellar vermis and cerebral cortex.

The impact of the COVID-19 pandemic on waste-to-energy and waste-to-material industry in China.

The COVID-19 pandemic created enormous uncertainty for achieving the sustainable development goals in waste management. China implemented a number of new policies recently to encourage waste-to-energy (WTE) and waste-to-material (WTM) industry, which was also impacted by the spread of COVID-19, while the impact on the solid waste industry was merely discussed. In this work, the quarter-level financial statement data of thirty listed companies in Chinese Stock Market were analyzed by applying ARIMA intervention analysis, moreover, a system dynamic model was established for examining the impacting pathway of the pandemic. Main results are: (1) the total annual turnover of total solid waste industry increased by 28.2 times in recent 14 years, however, the estimated turnover of solid waste industry in 2020 dropped around 55.8 billion CNY; (2) the WTE industry kept growing (+21%), the WTM industry dropped significantly (-28%), while the waste disposal industry and other solid waste industry varied slightly (-10% and +9%), comparing their turnovers in 2019 and 2020; (3) the average trade-prices of the secondary materials during the COVID-19 pandemic were only 43.4%-85.8% of the maximum price from 2017 to 2019, resulting in the decline of the WTM industry. Considering a possible sluggish growth of the solid waste industry, the waste separation and zero waste programs in China may meet non-trivial challenges in the future. Policy implications are put forward, such as quantitative simulating the long-term impact, increasing investment and incentive on waste recycling, and building an internal circulation system for waste management.

Estimating Physical Composition of Municipal Solid Waste in China by Applying Artificial Neural Network Method.

Physical composition of municipal solid waste (PCMSW) is the fundamental parameter in domestic waste management; however, high fidelity, wide coverage, upscaling, and year continuous data sets of PCMSW in China are insufficient. A traceable and predictable methodology for estimating PCMSW in China is established for the first time by analyzing 503 PCMSW data sets of 135 prefecture-level cities in China. A hyperspherical transformation method was used to eliminate the constant sum constraint in statistically analyzing PCMSW data. Moreover, a back-propagation (BP) neural network methodology was applied to establish quantitative models between city-level PCMSW and its socio-economic factors, including city size, per capita gross regional product, geographical location, gas coverage rate, and year. Results show that (1) national-level PCMSW in 2017 was estimated as organic fraction (53.7%), ash and stone (8.3%), paper (16.9%), plastic and rubber (13.6%), textile (2.3%), wood (2.2%), metal (0.6%), glass (1.5%), and others (1.0%); (2) organic fraction, paper, and plastics showed an increasing trend from 1990 to 2017, while ash and stone decreased significantly; (3) organic fractions in East, North, and Central-South China were higher than those in other regions. This enables us to fill the data gap in the practice of municipal solid waste management in China.

Recycling sustainability of waste paper industry in Beijing City: An analysis based on value chain and GIS model.

China established a self-organized and market-driven recycling system, which was dominated by the informal sectors. In recent years, the amount of domestically-recycled waste paper grew slower than expectation in China, which may be resulted from a decline in economic sustainability of current recycling system. For understanding the waste paper recycling system in most cities in China, the economic mechanism remains unclear and the city-level data is extremely insufficient. In this work, an index of recycling sustainability (IRS, benefit divided by cost) is analyzed with a resolution of 1 km2 grid in Beijing City, by adopting value chain and GIS methodology. Five degrees of IRS are defined, from high-degree (IRS > 1.10) to low-degree (IRS < 0.95). Different stakeholders in the informal waste paper recycling system were interviewed to fill the data gap. Results show that: (1) from 2015 to 2018, the informal recycling of waste paper accounted for approximate 80% in Beijing; (2) the number of informal recyclables distribution sites decreased from 27 to 11, and their average distance to the city-center rose from 27.5 km to 40.9 km; (3) in 2015 and 2018, the grids with high-degree IRS accounted for 99.5% and 89.2%, respectively, indicating a sustainable waste paper recycling industry in Beijing; and (4) according to the scenario analysis, if the operating cost rises by 30%, the grids with low-degree IRS accounts for 98.5%, indicating a nontrivial challenges when the recycling cost keeps increasing in the future. Policy recommendations are put forward for a more sustainable paper waste recycling system in China.

[Characteristics and Environmental Impacts of Materials Stored in Municipal Solid Waste Landfills: A Case Study of the Guangdong-Hong Kong-Macao Greater Bay Area].

The composition of municipal solid waste (MSW) in landfills is complex; additionally, the waste stored in landfills continues to generate greenhouse gases, odors, and ground water pollutants even during the post-closure stage. Therefore, landfills are considered key fields of urban eco-environmental remediation. In this context, it is crucial to understand the storage, composition, physical, and chemical characteristics of waste, as well as its potential environmental impacts. However, very few studies have discussed these topics in detail. In this work, we focused on the Guangdong-Hong Kong-Macao Greater Bay Area (GBA), which has the highest urbanization rate and population density of all China. The generation, stock, physical components, and key elements of MSW in eleven cities of the GBA were analyzed based on both the scientific literature and statistical data. The main results are as follows:① the total amount of MSW produced by the cities was of 26.4 Tg in 2017, with an average annual increment of 0.8 Tg; moreover, the most used disposal method was the sanitary landfill (58.9% of the total); ② the total amount of MSW disposed in the landfills was equal to 230.1 Tg[including mainly food waste (109.6 Tg), plastic (38.9 Tg), and paper (29.6 Tg)]; ③ between 2001-2017, a total of 50.0 Tg of carbon were input in the landfills in the form MSW, of which 7.1 Tg of carbon were emitted as gas and 1.5 Tg were discharged as leachate; moreover, the total landfill carbon stock was equal to 41.4 Tg. Overall, this study provides fundamental data that can be used to determine the environmental impacts of MSW landfills and implement the eco-environmental remediation of urban landfill sites in the GBA.

Screening methane-oxidizing bacteria from municipal solid waste landfills and simulating their effects on methane and ammonia reduction.

Municipal solid waste landfills are not only a crucial source of global greenhouse gas emissions; they also produce large amounts of ammonia (NH3), hydrogen sulfide, and other odorous gases that negatively affect the regional environment. Several types of methane-oxidizing bacteria (MOB) were proved to be effective in mitigating methane emission from landfills. Nevertheless, more MOB species and their technical parameters for best mitigating methane still need to be explored. In landfills, methane is simultaneously generated with ammonia, which may impede the CH4 bio-oxidizing process of MOB. However, very limited studies examined the enhancement of methane reduction by introducing ammonia-oxidizing bacteria (AOB) in landfills. In this study, two enriched MOB cultures were gained from a typical municipal solid waste landfill, and then were cultured with three strains of ammonia-oxidizing bacteria (AOB). The MOB enrichment culture used in this work includes Methylocaldum, Methylocystaceae, and Methyloversatilis, with a methane oxidation capacity of 43.6-65.0%, and the AOB includes Candida ethanolica, Bacillus cereus, and Alcaligenes faecalis. The effects on the emission reduction of both NH3 and CH4 were measured using self-made landfill-simulating equipment, as MOB, AOB, and a MOB-AOB mixture were added to the soil cover of the simulation equipment. The concentrations of CH4 and NH3 in the MOB-AOB mixture group decreased sharply, and the CH4 and NH3 concentration was 76.4% and 83.7% of the control group level. We also found that addition of AOB can help MOB oxidize CH4 and improve the emission reduction effect.

Global Human Appropriation of Net Primary Production and Associated Resource Decoupling: 2010-2050.

Human appropriation of net primary production (HANPP) methodology has previously been developed to assess the intensity of anthropogenic extraction of biomass resources. However, there is limited analysis concerning future trends of HANPP. Here we present four scenarios for global biomass demand and HANPPharv (the most key component of HANPP) from 2010 to 2050 by incorporating data on expanded historical drivers and disaggregated biomass demand (food, wood material, and fuelwood). The results show that the biomass demand has the lowest value in the equitability world scenario (an egalitarian vision) and the highest value in the security foremost scenario (an isolationist vision). The biomass demand for food and materials increases over time, while fuelwood demand decreases over time. Global HANPPharv rises to between 8.5 and 10.1 Pg C/yr in 2050 in the four scenarios, 14-35% above its value in 2010, and some 50% of HANPPharv is calculated to be crop residues, wood residues, and food losses in the future. HANPPharv in developing regions (Asia, Africa, and Latin America) increases faster than that in more-developed regions (North America and Europe), due to urbanization, population growth, and increasing income. Decoupling of HANPPharv and socioeconomic development is also discussed in this work.