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Investigating the robustness of microbial communities in municipal sludge anaerobic digestion under organic loading rate disturbance 研究市政污泥厌氧消化中微生物群落在有机负荷率干扰下的稳健性。
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-16 DOI: 10.1016/j.jenvman.2024.123326
Zong-Lin Wu , Wen-Jing Shi , Lin Zhang , Zi-Yuan Xia , Min Gou , Zhao-Yong Sun , Yue-Qin Tang
Anaerobic digestion (AD) frequently encounters disturbances due to variations in organic loading rates (OLRs), which can result in the failure of the sludge treatment process. However, there is a lack of comprehensive studies on the robustness of AD systems against OLR disturbances and the underlying mechanisms. In this study, the responses of reactor performance and active microbial communities in mesophilic AD were investigated and compared under conditions of OLR shock and OLR fluctuation. Statistical analysis confirmed that all reactors recovered from both types of OLR disturbance, indicating both functional and structural robustness of the mesophilic community. Based on metagenomics and metatranscriptomics analyses, it was observed that high diversity within the microbial community led to functional redundancy, which appears to be a key mechanism contributing to the robustness against OLR disturbances. Additionally, for the first time, the potential metabolic diversity of aerobic autotrophy bacteria in AD reactors was identified, including their roles in the utilization of glucose and acetate. Furthermore, the analysis of topological properties within the microbial interaction network was conducted, and the robustness of the community network was verified through the application of random node deletion attacks. The findings from this study provide valuable information for the effective regulation of microbial communities and the design of practical AD systems.
厌氧消化(AD)经常会遇到有机负荷率(OLR)变化造成的干扰,从而导致污泥处理过程失败。然而,目前还缺乏关于厌氧消化(AD)系统对 OLR 干扰的稳健性及其内在机制的全面研究。本研究调查并比较了中温厌氧消化(AD)反应器性能和活性微生物群落在 OLR 冲击和 OLR 波动条件下的反应。统计分析证实,所有反应器都能从两种类型的 OLR 干扰中恢复,这表明中温群落在功能和结构上都很稳健。根据元基因组学和元转录组学分析,观察到微生物群落内的高度多样性导致了功能冗余,这似乎是有助于抵御 OLR 干扰的一个关键机制。此外,研究人员还首次发现了厌氧消化反应器中好氧自养细菌潜在的代谢多样性,包括它们在利用葡萄糖和醋酸盐方面的作用。此外,还对微生物相互作用网络内的拓扑特性进行了分析,并通过应用随机节点删除攻击验证了群落网络的稳健性。这项研究的发现为有效调控微生物群落和设计实用的厌氧消化系统提供了宝贵的信息。
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引用次数: 0
Clearing floating submerged vegetation leaves: An effective management to stabilize the clear state in shallow lakes? 清除漂浮的沉水植被叶片:稳定浅水湖泊清澈状态的有效管理方法?
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-16 DOI: 10.1016/j.jenvman.2024.123263
Tianying Shi , Yongcan Chen , Hong Zhang , Haoran Wang , Zhaowei Liu
Achieving sustainable clear states in eutrophic shallow lakes is challenging due to the lag between nutrient load reductions and ecosystem response, often resulting in regime shifts. Submerged vegetation tends to fall off and float to the surface and block light due to the instability of freshly restored lakes, a key feature in influencing whether lakes deteriorate again. However, the mechanisms linking such transient shading to regime shifts remain unclear. This study conducted in situ experiments that quantified the shading effect of floating submerged vegetation leaves. We introduced the novel parameters, light interception coefficients and function that served as a crucial link between experimental findings and numerical models. Notably, we developed an innovative module specifically designed to assess the impacts of different clearing measures on aquatic ecosystems, which had been seamlessly integrated into the PCLake model. This practical model was applied to Xinglong Lake, recently ecologically restored, to simulate variations in key ecological indicators (total phosphorus (TP), total nitrogen (TN), chlorophyll-a (Chl-a), submerged vegetation biomass (DVeg)) and identify regime shift thresholds under different nutrient loads, initial time and time intervals of leaf clearing. The experimental results showed that light interception coefficients exhibited a subtle pattern, initially increasing slightly with water depth before declining, ranging from 0.573 m2/kg to 0.982 m2/kg for Vallisneria natans. The scenarios simulations demonstrated that prolonging clearing intervals from 0 to 120 days resulted in elevated TP, TN, and Chl-a concentrations, accompanied by a decline in DVeg, even causing the lake to a turbid state. Resuming daily clearing after a period of cessation proved ineffective in restoring the lake ecosystem if a regime shift had occurred. As nutrient loads and interception coefficients increased, the time intervals for triggering regime shifts shortened. We conservatively recommended that leaf clearing intervals should not exceed 10 days and ideally begin by March to ensure sufficient light for submerged vegetation. The study provides valuable insights into the impact of transient shading from floating leaves on regime shifts and offers scientific guidance for maintaining shallow lakes sustainably clear.
在富营养化的浅水湖泊中实现可持续的清澈状态具有挑战性,因为营养物质负荷的减少与生态系统的反应之间存在滞后性,这往往会导致湖泊生态环境的转变。由于刚恢复的湖泊不稳定,沉水植被往往会脱落并漂浮到水面,阻挡光线,这是影响湖泊是否再次恶化的一个关键特征。然而,这种瞬时遮蔽与水系变化之间的关联机制仍不清楚。本研究进行了原位实验,量化了漂浮的沉水植被叶片的遮蔽效应。我们引入了新的参数、光拦截系数和函数,它们是连接实验结果和数值模型的重要纽带。值得注意的是,我们开发了一个创新模块,专门用于评估不同清理措施对水生生态系统的影响,该模块已无缝集成到 PCLake 模型中。我们将这一实用模型应用于最近进行生态修复的兴隆湖,模拟了主要生态指标(总磷(TP)、总氮(TN)、叶绿素 a(Chl-a)、沉水植物生物量(DVeg))的变化,并确定了不同营养负荷、初始时间和清叶时间间隔下的制度转变阈值。实验结果表明,光截获系数呈现出一种微妙的模式,最初随水深的增加而略有增加,然后逐渐下降,对于 Vallisneria natans 而言,范围在 0.573 m2/kg 至 0.982 m2/kg 之间。情景模拟结果表明,将清湖间隔时间从 0 天延长到 120 天,会导致 TP、TN 和 Chl-a 浓度升高,同时 DVeg 下降,甚至导致湖水浑浊。事实证明,如果湖泊生态系统发生了变化,那么在停止一段时间后恢复每日清淤并不能有效恢复湖泊生态系统。随着养分负荷和截流系数的增加,引发水体变化的时间间隔也在缩短。我们保守地建议,清叶间隔不应超过 10 天,最好在 3 月份之前开始,以确保沉水植被有足够的光照。这项研究为了解浮叶的瞬时遮蔽对水系转换的影响提供了宝贵的见解,并为保持浅水湖泊的可持续清澈提供了科学指导。
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引用次数: 0
Sustained energy generation from unusable waste steel through microbial assisted fuel cell systems 通过微生物辅助燃料电池系统从不可利用的废钢中持续产生能量。
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-16 DOI: 10.1016/j.jenvman.2024.123330
Babu Indira Bijimol , Rubina Basheer , Bhuvanendran Revamma Sreelekshmy , Chanassery Vinayababu Geethanjali , Sheik Muhammadhu Aboobakar Shibli
In the present study, a novel green energy generation process assisted with Microbial Fuel Cell (MFC) principle for generation of electricity from used or wasted steel is explored. Through a unique approach, unused and other steel waste are recast by simple re-melting with a flexible wide composition for generation of green energy. A microbial-assisted electron transfer derived from the degradation of the steel material is utilized for production of green energy in a microbial galvanic reactor system. A. ferrooxidans acts as biocatalysts, facilitating the oxidization of ferrous ion (Fe2+) to ferric ion (Fe3+). The reaction takes place on the biofilm matrix which results in oxidised reactive zones that endorses further degradation or dissolution of Fe anode. This consequently results in achieving the highest power density as high as 4.92 ± 0.03 mW/cm2 at a current density of 0.01 ± 9 mA/cm2. The total cost of the unusable steel anode and other accessories are roughly estimated to be 7.94 $/m2 and 178.54 $/m2 and the gain from unit power generation is estimated to be 3.79 $/W, assuming continuous operation of 4.92 ± 0.03 mW/cm2. The present study presents a potent methodology/strategy for the generation of sustainable bioenergy from low-cost, unusable steel materials, which cannot be anyway used as such in other battery systems, say iron air cells/batteries.
本研究利用微生物燃料电池(MFC)原理,探索了一种利用废旧钢铁发电的新型绿色能源生产工艺。通过一种独特的方法,未使用过的钢材和其他废钢通过简单的再熔化,以一种灵活的广泛成分进行再铸造,从而产生绿色能源。在微生物电镀反应器系统中,利用钢铁材料降解产生的微生物辅助电子传递来生产绿色能源。铁氧化酵母作为生物催化剂,促进亚铁离子(Fe2+)氧化为铁离子(Fe3+)。反应发生在生物膜基质上,形成氧化反应区,从而促进铁阳极的进一步降解或溶解。因此,在电流密度为 0.01 ± 9 mA/cm2 时,最高功率密度可达 4.92 ± 0.03 mW/cm2。据粗略估算,不可用钢阳极和其他配件的总成本分别为 7.94 美元/平方米和 178.54 美元/平方米,而假设连续运行功率为 4.92 ± 0.03 mW/cm2,则单位发电量的收益估计为 3.79 美元/瓦。本研究提出了一种有效的方法/策略,利用低成本、不可用的钢铁材料生产可持续生物能源,这些材料无论如何都不能用于其他电池系统,如铁空气电池/电池。
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引用次数: 0
Predicting green technology innovation in the construction field from a technology convergence perspective: A two-stage predictive approach based on interpretable machine learning 从技术融合角度预测建筑领域的绿色技术创新:基于可解释机器学习的两阶段预测方法。
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-16 DOI: 10.1016/j.jenvman.2024.123203
Shuai Feng, Guiwen Liu, Tianlong Shan, Kaijian Li, Sha Lai
The construction industry, as a major global energy consumer and carbon emitter, plays a crucial role in achieving global sustainability. A key strategy for the green transformation of this industry—without compromising development—involves fostering green technology innovation. Nevertheless, existing studies exhibit a notable gap in identifying and evaluating potential green technology innovation opportunities within the construction field, leading to a scarcity of decision-making information for governments and innovation entities during the research and development stage. Recognizing this, our study proposes a two-stage technology opportunity prediction approach based on interpretable machine learning from the perspective of technology convergence. Diverging from previous methods, it not only predicts the probability of technology opportunity occurrence but also forecasts the technical impact of convergence opportunities. By analysing 600,442 patent documents in the green and construction fields, we identify 305 high-potential technology convergence opportunities. Our results reveal that technologies such as carbon capture and storage, pollution alarms, solar energy, forestry techniques, wind energy, energy-saving methods, and waste materials for water treatment have significant potential for convergence with construction technologies. Additionally, we analyse the influencing factors behind these convergence innovations, finding that technical similarity and proximity play crucial roles. These findings provide robust decision support for governments and industry stakeholders in formulating scientifically grounded green technology innovation strategies, thereby accelerating the green transformation of the construction industry and contributing to the goal of sustainable development.
建筑业作为全球主要的能源消耗和碳排放行业,在实现全球可持续发展方面发挥着至关重要的作用。在不影响发展的前提下,该行业实现绿色转型的关键战略之一就是促进绿色技术创新。然而,现有研究在识别和评估建筑领域潜在的绿色技术创新机会方面存在明显差距,导致政府和创新实体在研发阶段缺乏决策信息。有鉴于此,我们的研究从技术融合的角度出发,提出了一种基于可解释机器学习的两阶段技术机会预测方法。与以往方法不同的是,它不仅能预测技术机会出现的概率,还能预测融合机会的技术影响。通过分析 600,442 份绿色和建筑领域的专利文件,我们发现了 305 个高潜力的技术融合机会。我们的研究结果表明,碳捕集与封存、污染报警、太阳能、林业技术、风能、节能方法和用于水处理的废料等技术具有与建筑技术融合的巨大潜力。此外,我们还分析了这些融合创新背后的影响因素,发现技术相似性和邻近性起着至关重要的作用。这些发现为政府和行业利益相关者制定有科学依据的绿色技术创新战略提供了有力的决策支持,从而加快建筑行业的绿色转型,为实现可持续发展目标做出贡献。
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引用次数: 0
Microplastics: The imperative influencer in blueprint of blue economy 微塑料:蓝色经济蓝图中势在必行的影响因素。
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-16 DOI: 10.1016/j.jenvman.2024.123300
Abha Gupta , Aishee Ghosh , Anu Yadav , Apoorv Kirti , Sudakshya S. lenka , Snehasmita Jena , Utsa Saha , Shaikh Sheeran Naser , Aditya Nandi , Adrija Sinha , Mrutyunjay Suar , Nagendra Kumar Kaushik , Vishakha Raina , Suresh K. Verma
The burgeoning issue of microplastic pollution in marine ecosystems has emerged as a significant concern, presently multifaceted difficulty to the sustainability and prosperity of the blue economy. This review examines the intricate link between microplastics (MPs) and the blue economy (BE), exploring how microplastics infiltrate marine environments, their persistence, and their impacts on economic activities reliant on healthy oceans in a global scenario. Diminished seafood quality and quantity, degraded coastal aesthetics affecting tourism revenues, and increased operational costs due to fouling and contamination are among the economic repercussions identified. Additionally, the review discusses the potential long-term consequences on human health and food security, emphasizing the urgency for proactive mitigation measures and policy interventions in the global scenario. The study highlights the interconnectedness of the blue economy and environmental health, prompting a comprehensive strategy to mitigate microplastic pollution. It calls for collaborative efforts among stakeholders, including policymakers, industries, academia, and civil society, to develop innovative strategies for combating microplastic pollution and promoting sustainable blue economic practices. In conclusion, the review stresses the pressing need for concerted action to address microplastic threats to the blue economy, recommending science-based policies, technological innovations, and public awareness campaigns to protect marine ecosystems and ensure the resilience and prosperity of ocean-dependent economic activities.
海洋生态系统中的微塑料污染问题日益突出,已成为一个重大问题,对蓝色经济的可持续性和繁荣造成了多方面的困难。本综述研究了微塑料(MPs)与蓝色经济(BE)之间错综复杂的联系,探讨了微塑料如何渗入海洋环境、其持久性以及在全球范围内对依赖健康海洋的经济活动的影响。已确定的经济影响包括海产品质量和数量下降、海岸美观度下降(影响旅游业收入)以及污损和污染导致的运营成本增加。此外,研究还讨论了对人类健康和粮食安全的潜在长期影响,强调了在全球范围内采取积极的减缓措施和政策干预的紧迫性。该研究强调了蓝色经济与环境健康之间的相互联系,从而提出了减缓微塑料污染的综合战略。它呼吁包括政策制定者、行业、学术界和民间社会在内的利益相关者通力合作,制定创新战略来应对微塑料污染,促进可持续的蓝色经济实践。综述最后强调,迫切需要采取协调一致的行动来应对微塑料对蓝色经济的威胁,并建议采取以科学为基础的政策、技术创新和公众宣传活动,以保护海洋生态系统,确保依赖海洋的经济活动的复原力和繁荣。
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引用次数: 0
An enhanced dynamic-network-based framework for quantifying and enhancing the resilience of disaster response networks to old communities under rainstorm waterlogging 基于动态网络的增强型框架,用于量化和增强暴雨内涝情况下老社区的救灾网络复原力。
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-16 DOI: 10.1016/j.jenvman.2024.123098
Tiantian Gu , Yongchao Wang , Lingzhi Li , Yanan Dai , Wenxiu Chang
Developing effective disaster response networks (DRNs) is crucial for mitigating the impacts of rainstorm waterlogging in old communities. Aiming at providing implementable strategies for enhancing DRN resilience, this paper developed an enhanced dynamic network analysis (DNA)-based framework for DRNs utilizing the DNA and CRITIC-VIKOR method. This framework conceptualizes community disaster response as a three-stage ‘agent-information-resource-task’ (A-I-R-T) dynamic network, facilitating a comprehensive understanding of interactions among stakeholders, disaster information, emergency resources, and response tasks. Subsequently, a hybrid evaluation model combining CRITIC and VIKOR methods was established to quantify DRN resilience by assessing deviations from ideal response scenarios. Validated through a case study of the Y community in Xuzhou city of China, the findings reveal significant variations in stakeholder communication effectiveness across different stages of disaster response, with resilience peaking during the function recovery stage at 0.292. This study not only contributes to the body of knowledge in disaster management and resilience theory but also provides actionable strategies for enhancing DRN resilience, thereby contributing to more resilient urban environments.
开发有效的灾害响应网络(DRN)对于减轻暴雨内涝对老旧社区的影响至关重要。为了提供可实施的策略以增强灾害响应网络的复原力,本文利用 DNA 和 CRITIC-VIKOR 方法为灾害响应网络开发了一个基于动态网络分析(DNA)的增强型框架。该框架将社区灾害响应概念化为 "代理-信息-资源-任务"(A-I-R-T)三阶段动态网络,有助于全面了解利益相关者、灾害信息、应急资源和响应任务之间的相互作用。随后,建立了一个结合 CRITIC 和 VIKOR 方法的混合评估模型,通过评估与理想响应情景的偏差来量化灾难恢复网络的复原力。通过对中国徐州市 Y 社区的案例研究进行验证,研究结果表明,利益相关者的沟通效果在灾害响应的不同阶段存在显著差异,在功能恢复阶段,复原力达到峰值,为 0.292。这项研究不仅有助于丰富灾害管理和抗灾理论知识,而且还为增强灾难恢复网络的抗灾能力提供了可操作的策略,从而有助于提高城市环境的抗灾能力。
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引用次数: 0
Inclusive Indian Central Himalayan soil carbon estimates underscores significant inorganic carbon contribution and temporal dynamics: Implications for carbon sequestration 对印度喜马拉雅中部土壤碳含量的全面估算强调了无机碳的重要贡献和时间动态:对碳螯合的影响。
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-16 DOI: 10.1016/j.jenvman.2024.123312
Siddhartha Kaushal, Ratul Baishya
Soil carbon estimates in the Indian Himalayan region—a global climate change hotspot—primarily rely on the lossy wet oxidation method and predominantly focus on soil organic carbon (SOC), neglecting the soil inorganic carbon (SIC) component. Sensitive and holistic soil carbon estimates are crucial for effective policy planning. By incorporating eight major Central Himalayan forest types along a 3000 m elevational gradient, we report that the acidic Himalayan soil (surface soil pH: 4.74–6.84) of the selected forest types hold up to 31% of the total soil carbon stock as SIC stock. Using soil carbon and soil organic matter assays based on elemental analyzer and the loss-on-ignition method, we established that these Himalayan soils store less than 50% of SOC in SOM, challenging the use of universal factors in the region. The amount of SOC in SOM also showed temporal variability. The machine learning Random Forest algorithm highlighted the influence of SOM and climate variables in regulating the distribution of SOC, microbial biomass carbon, and key carbon cycling soil enzymes. The vertical distribution of SOC was more uniform than that of SIC. We found higher activity of soil carbon-cycling enzymes (dehydrogenase, beta-glucosidase, and phenol oxidase) in the forest types. Sensitive and higher soil carbon estimates substantiate a lower microbial quotient (0.17–1.23 %) than the regional trend. Notably, we explained how seasonal and temporal changes in soil carbon estimations hinder a constant positive soil carbon flux. Meanwhile, the mean surface SOC flux (4.63 Mg C ha−1 yr−1) and SIC flux (1.68 Mg C ha−1 yr−1) indicate that the Himalayan soils have significant potential for carbon sequestration. In conclusion, our research indicates substantial soil organic and inorganic carbon storage in major Central Himalayan forest types, with negative anthropogenic activities posing a clear and present threat to the soil carbon stocks.
印度喜马拉雅地区是全球气候变化的热点地区,该地区的土壤碳估算主要依赖于有损湿氧化法,而且主要侧重于土壤有机碳(SOC),而忽视了土壤无机碳(SIC)的成分。敏感而全面的土壤碳估算对于有效的政策规划至关重要。通过将喜马拉雅山中部海拔 3000 米梯度上的八个主要森林类型纳入其中,我们发现所选森林类型的喜马拉雅山酸性土壤(表层土壤 pH 值:4.74-6.84)的 SIC 碳储量占土壤总碳储量的 31%。通过使用基于元素分析仪和点火损失法的土壤碳和土壤有机质检测,我们确定这些喜马拉雅山土壤的 SOC 储量不到 SOM 的 50%,这对该地区使用通用因子提出了挑战。SOM 中的 SOC 量还表现出时间上的可变性。机器学习随机森林算法强调了 SOM 和气候变量在调节 SOC、微生物生物量碳和关键碳循环土壤酶分布方面的影响。与 SIC 相比,SOC 的垂直分布更为均匀。我们发现森林类型土壤碳循环酶(脱氢酶、β-葡萄糖苷酶和酚氧化酶)的活性更高。敏感和较高的土壤碳估算值证实了微生物商数(0.17-1.23%)低于区域趋势。值得注意的是,我们解释了土壤碳估算值的季节性和时间性变化如何阻碍了土壤碳通量的恒定正值。同时,平均地表 SOC 通量(4.63 兆克碳/公顷-年-1)和 SIC 通量(1.68 兆克碳/公顷-年-1)表明喜马拉雅土壤具有巨大的固碳潜力。总之,我们的研究表明,喜马拉雅山中部主要森林类型的土壤有机碳和无机碳储量巨大,而人类活动对土壤碳储量构成了明显的威胁。
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引用次数: 0
Contribution for lake phytoplankton community succession under multi-source artificial hydrological regulation 多源人工水文调节下湖泊浮游植物群落演替的贡献。
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-16 DOI: 10.1016/j.jenvman.2024.123351
Bowen Sun , Na Li , Guoyu Wang , Xueping Gao , Xushen Zhou , Fanqing Kong
In aquatic ecosystems, phytoplankton, as key primary producers, are extremely sensitive to environmental changes. Artificial hydrological regulation, as a water resource management strategy, affects the water quality and ecological environment of the receiving water area. Particularly under multi-source replenishment conditions, the spatiotemporal nonlinear response of water quality poses a challenge to quantify the contribution of multi-source replenishment to the phytoplankton community succession in large lakes. For example, Baiyangdian Lake (BL) has implemented multi-source artificial hydrological regulation measures, including the diversion of the Yellow River into the BL (Xiaobai River), the South-to-North Water Diversion Project (Baigouyin River) and the replenishment of upstream reservoirs (Xiaoyi River, Bao River and Fu River). Physicochemical parameters and phytoplankton community data were surveyed from 2017 to 2020 in July (summer) and October (autumn). The ecological impacts of artificial hydrological regulation were investigated by quantifying the correlations between physicochemical parameters and phytoplankton communities and by quantifying the contribution of artificial hydrological regulation to key factors. The results show that under the artificial hydrological regulation, the phytoplankton community was still dominated by Chlorophyta and Cyanophyta, but the emergence of Xanthophyta and Chrysophyta indicated that the cleanliness of the water column was improved, and the biodiversity indicators showed a fluctuating upward trend, which suggested that the succession trend was favorable. Ammonia nitrogen (NH3-N), total phosphorus (TP), and dissolved oxygen (DO) are the key factors affecting phytoplankton community succession in BL. The replenishment sources contribution index (RSCI) was used to characterize the spatiotemporal response of the key factors, and it was found that Fu River has the highest contribution of more than 30%, followed by Xiaoyi River with a contribution of more than 25%. The spatial distribution of RSCI shows that the area with high RSCI values (>0.9) of Fu River accounts for more than 50% of the total area, the area with high RSCI values (>0.9) of Xiaoyi River accounts for more than 35%. Under the comprehensive influence of the RSCI of each replenishment source, the phytoplankton biodiversity index of BL increased from north to south. This study provides basic support for BL in realizing the optimized artificial hydrological regulation strategy and enhancing the ecological restoration benefits in the receiving water area.
在水生生态系统中,浮游植物作为主要的初级生产者,对环境变化极为敏感。人工水文调节作为一种水资源管理策略,会影响受水区的水质和生态环境。特别是在多源补水条件下,水质的时空非线性响应给量化多源补水对大型湖泊浮游植物群落演替的贡献带来了挑战。例如,白洋淀实施了多源人工水文调节措施,包括引黄入淀(小白河)、南水北调中线工程(白沟阴河)和上游水库补水(孝义河、褒河和府河)。调查了 2017 年至 2020 年 7 月(夏季)和 10 月(秋季)的理化参数和浮游植物群落数据。通过量化理化参数和浮游植物群落之间的相关性,以及量化人工水文调节对关键因子的贡献,研究了人工水文调节的生态影响。结果表明,在人工水文调节条件下,浮游植物群落仍以叶绿体和藻蓝体为主,但出现了黄绿体和菊蓝体,表明水体清洁度有所提高,生物多样性指标呈波动上升趋势,表明演替趋势良好。氨氮(NH3-N)、总磷(TP)和溶解氧(DO)是影响 BL 浮游植物群落演替的关键因素。用补给源贡献指数(RSCI)来描述关键因子的时空响应,发现府河的贡献率最高,超过 30%,其次是孝义河,超过 25%。从 RSCI 的空间分布来看,府河 RSCI 值高(>0.9)的区域占总面积的 50%以上,孝义河 RSCI 值高(>0.9)的区域占总面积的 35%以上。在各补给源 RSCI 值的综合影响下,底质浮游植物生物多样性指数由北向南递增。本研究为青龙河实现优化的人工水文调节策略、提高受水区生态修复效益提供了基础支撑。
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引用次数: 0
Exploring the influence and predictive role of waste acidic calcium on the water stability and mechanical behavior of strongly alkaline dispersive subsoil 探索废酸钙对强碱性分散基土水稳定性和力学行为的影响和预测作用。
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-16 DOI: 10.1016/j.jenvman.2024.123290
Guanzhou Ren , Yuyang Ji , Henghui Fan , Yuan Gao , Tao Wu , Zhen Zhu , Gaowen Zhao
Strongly alkaline dispersive soils pose a significant global challenge to both engineering applications and agricultural production, particularly in arid and semi-arid regions. Conventional soil modifiers used to address this issue not only present environmental and economic concerns but also fail to effectively improve soil alkalinity. This study investigates the potential application of acidic desulfurization gypsum (DG) as a soil modifier for dispersive soils, aiming to achieve high-value utilization of industrial solid waste. The dispersibility of soil under hydrostatic and dynamic conditions are studied using the mud ball test and pinhole test. The engineering properties and modification mechanism of DG consolidated soils were revealed by combining the unconfined compressive strength (UCS), Brazilian split tensile strength (BTS), microstructure, and mineral evolution. Results show that 3% DG significantly reduces soil dispersibility and improves disintegration and erosion resistance, with UCS and BTS increases of 210% and 94%, respectively. The mechanism involves DG releasing hydrogen ions to reduce soil alkalinity, which in turn activates cation activity of DG, replacing sodium ions on the soil surface and forming a binding hydrate within 7 days. Tests on natural dispersive soil from check dams confirmed effectiveness of DG. Advanced machine learning techniques quantitatively analyzed the impact of DG on soil dispersibility, highlighting the relationship between soil dispersibility and chemical/mechanical properties. This study establishes a novel link between hydraulic erosion parameters, mechanical parameters, and soil stress-strain relationships, providing valuable insights for future soil stabilization. The results show potential of waste acidic DG in practical engineering applications and contribute to the sustainable advancement of dispersive soil stabilization technology. Alkaline dispersive soils also aid in regulating the acidity and alkalinity of DG and controlling toxic emissions.
强碱性分散土壤对工程应用和农业生产都构成了巨大的全球性挑战,尤其是在干旱和半干旱地区。用于解决这一问题的传统土壤改良剂不仅存在环境和经济问题,而且无法有效改善土壤碱度。本研究调查了酸性脱硫石膏(DG)作为分散性土壤改良剂的潜在应用,旨在实现工业固体废弃物的高值化利用。利用泥球试验和针孔试验研究了土壤在静态和动态条件下的分散性。结合无侧限抗压强度(UCS)、巴西劈裂拉伸强度(BTS)、微观结构和矿物演化,揭示了 DG 固结土的工程特性和改良机制。结果表明,3% 的 DG 能显著降低土壤的分散性,提高崩解和抗侵蚀能力,UCS 和 BTS 分别提高 210% 和 94%。其机理是 DG 释放氢离子降低土壤碱度,进而激活 DG 的阳离子活性,取代土壤表面的钠离子,并在 7 天内形成结合水合物。对来自检查坝的天然分散土壤进行的测试证实了 DG 的有效性。先进的机器学习技术定量分析了 DG 对土壤分散性的影响,突出了土壤分散性与化学/机械特性之间的关系。这项研究在水力侵蚀参数、力学参数和土壤应力-应变关系之间建立了一种新的联系,为未来的土壤稳定提供了宝贵的见解。研究结果表明了废酸性地下水在实际工程应用中的潜力,有助于分散土壤稳定技术的可持续发展。碱性分散土壤还有助于调节 DG 的酸碱度,控制有毒物质的排放。
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引用次数: 0
Co-management enhances social capital and recognition of protected area: Perspectives from indigenous rangers on the Qinghai-Tibet Plateau 共同管理增强了社会资本和对保护区的认可:青藏高原原住民护林员的观点。
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2024-11-16 DOI: 10.1016/j.jenvman.2024.123346
Zhi Zhang , Yu Wei , Ling Tang , Zhi Wang , Xuetian Hu , Xinting Li , Yixing Bi , Baorong Huang
Indigenous rangers play a critical role in achieving global biodiversity goals by facilitating effective conservation and community development. However, there is limited knowledge about rangers' livelihoods and responses to conservation policies. This study examined indigenous rangers' perceptions of livelihood impacts and attitudes toward national park management in Three-River-Source National Park (TRSNP). Utilizing a household questionnaire survey, data from 228 valid responses were analyzed. Results indicate that rangers had positive attitudes toward the impacts of TRSNP on their livelihood capitals, despite increased patrol costs. Since the establishment of TRSNP, average household income and the evenness of income sources have increased significantly, along with improved community relations, participation in public affairs and children's education. Rangers with higher incomes, better neighborhood relations, and a belief in increased conservation capacity held more positive views of national park management. In contrast, rangers who are older, those patrolling closer to home and with larger families expressed more negative feedback. This study adds new evidence on indigenous rangers' livelihood and their perceptions, and suggests the need to understand the impacts of biodiversity policies on indigenous and local rangers to achieve equitable and right-based conservation. Our findings emphasize the importance of inclusive and participatory approaches to enhance conservation and development goals, particularly for vulnerable demographic groups.
土著护林员通过促进有效的保护和社区发展,在实现全球生物多样性目标方面发挥着至关重要的作用。然而,人们对护林员的生计和对保护政策的反应了解有限。本研究考察了三江源国家公园(TRSNP)原住民护林员对生计影响的看法以及对国家公园管理的态度。通过家庭问卷调查,对 228 份有效答卷的数据进行了分析。结果表明,尽管巡逻成本增加,但护林员对三江源国家公园对其生计资本的影响持积极态度。自建立 TRSNP 以来,家庭平均收入和收入来源的均衡性显著提高,社区关系、参与公共事务和子女教育也得到改善。收入较高、邻里关系较好、相信能提高保护能力的护林员对国家公园管理持有更积极的看法。相比之下,年龄较大、离家较近和家庭人口较多的护林员则表达了更多负面反馈。这项研究为原住民护林员的生计及其看法提供了新的证据,并表明有必要了解生物多样性政策对原住民和当地护林员的影响,以实现公平和基于权利的保护。我们的研究结果强调了包容性和参与性方法对加强保护和发展目标的重要性,尤其是对弱势群体而言。
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Journal of Environmental Management
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