Journal of Cleaner Production最新文献_第5页

Synergistic pyrolysis of concentrated seawater and agricultural waste for phosphorus recovery and release from wastewater: A multi-fold resource utilization strategy 浓海水与农业废弃物协同热解回收和释放废水中的磷：一种多重资源利用策略

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-10 DOI: 10.1016/j.jclepro.2026.147513

Fang Yu , Chenyang Wang , Ziteng Ding , Bin Lyu , Xiaoyu Pan , Yanli Zhou , Xinyu Zhu , Qiaoxia Li

Addressing the dual challenges of waste disposal and the phosphorus resource crisis, the development of cost-effective and sustainable adsorbents for phosphorus recovery through the utilization of concentrated seawater and agricultural waste is of great significance. Herein, an effective strategy was presented for synthesizing Ca/Mg biochar composites by integrating concentrated seawater and agricultural waste through a co-precipitation and low temperature carbonization (400 °C), aimed at phosphorus recovery and release. The introduction of 3.0 mol/L KOH during preparation increased the specific surface area, optimized the pore structure, and promoted the co-precipitation of Ca/Mg from concentrated seawater into the biomass framework, providing more active sites. Characterization results confirmed the mesoporous structure and the presence of surface-loaded metal species in all three Ca/Mg-modified biochar composites. The adsorption of phosphorus by the Ca/Mg biochar composites produced from three types of agricultural waste was well-described by the pseudo-second-order kinetic and Langmuir isotherm models, recording a maximum adsorption capacity of 138.192 mg/g. This suggested that the biochar preparation strategy possessed considerable universality, yielding biochar with consistent physicochemical properties and phosphorus adsorption performance. The characterization and analysis further reveal that the primary adsorption mechanisms include electrostatic attraction, chemical precipitation, and ligand exchange. Significantly, excessive Ca/Mg in individual biochar composites group (CBC-K) inhibited Mung beans germination and growth, whereas phosphorus-saturated Ca/Mg biochar composites group (P-CBC-K) still promoted crops growth due to the formation of calcium- and magnesium-containing phosphorus compounds, resulting in a 2.64-fold increase in fresh biomass compared to CBC-K group. This study enables the simultaneous phosphorus removal and recovery, along with the harmless treatment of concentrated seawater and agricultural waste, thus achieving a multi-fold resource utilization.

面对废弃物处理和磷资源危机的双重挑战，开发高性价比、可持续利用的浓缩海水和农业废弃物磷吸附剂具有重要意义。在此基础上，提出了一种将浓缩海水与农业废弃物通过共沉淀和低温碳化（400°C）合成Ca/Mg生物炭复合材料的有效策略，旨在回收和释放磷。制备过程中引入3.0 mol/L KOH增加了比表面积，优化了孔结构，促进了Ca/Mg从浓海水中共沉淀到生物质骨架中，提供了更多的活性位点。表征结果证实了三种Ca/ mg改性生物炭复合材料的介孔结构和表面负载金属物质的存在。拟二级动力学模型和Langmuir等温线模型很好地描述了三种农业废弃物制备的Ca/Mg生物炭复合材料对磷的吸附，最大吸附量为138.192 Mg /g。说明该生物炭制备策略具有一定的通用性，制备出的生物炭具有一致的物理化学性质和磷吸附性能。表征和分析进一步表明，主要吸附机制包括静电吸引、化学沉淀和配体交换。单独生物炭复合材料组（CBC-K）中Ca/Mg含量过高抑制了绿豆的萌发和生长，而磷饱和Ca/Mg生物炭复合材料组（P-CBC-K）通过形成含钙和含镁的磷化合物促进了绿豆的生长，其新鲜生物量比CBC-K组增加了2.64倍。本研究实现了磷的同时去除和回收，并对浓海水和农业废弃物进行无害化处理，实现了资源的多重利用。

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引用次数: 0

Global synthesis of agricultural practices on crop yield, soil organic carbon and greenhouse gas emissions 全球综合农业实践对作物产量、土壤有机碳和温室气体排放的影响

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-10 DOI: 10.1016/j.jclepro.2026.147529

Xiaoru Fan , Haoyuan Kong , Ying Zhao , Hongyan Hu , Zhenqiang Jiang , Xiaolong Wang

Low-carbon agricultural practice is crucial for reducing greenhouse gas (GHG) emissions and enhancing soil organic carbon (SOC) storage, without compromising crop yield. However, consensus on which practices were certain to deliver positive outcomes remains limited. Synthesizing global meta-analysis evidence (covering 81 first-order meta-studies and 275 paired observations), this study identified different agricultural practices effects of crop yield, SOC content and GHG emission caused through secondary use of meta-analysis data on the topics. Results showed that crop rotation, film mulch, new crop variety and various fertilizer management strategies significantly increased crop yield (up to 62 %); crop rotation, conservation tillage, deep tillage, biochar addition, organic fertilizer addition, cover crop, straw management significantly increased SOC content (up to 34.30 %); the CH₄ emission were effectively reduced by new crop variety, deep fertilization, enhanced-efficiency fertilizer and non-flooding irrigation, while N₂O emission declined with reduced nitrogen fertilizer and herbicide application. Among all practices evaluated, rice-animal co-culture emerged as one of the most consistently beneficial strategies in paddy field, increasing crop yield by 2.48 %, enhancing SOC by 10.03 %, and reducing CH₄ emissions by −36.30 %. Biochar was the most beneficial strategies in unspecified land use pattern that could increase crop yield and SOC (12.79 %, 32.71 %), decrease GHG emission (−8.68 % to −6.22 %). By quantifying weighted effect sizes for paddy, upland, and mixed cropland systems, this synthesis offered a clear evidence base for designing low-carbon farming systems.

低碳农业实践对于减少温室气体（GHG）排放和提高土壤有机碳（SOC）储量至关重要，同时又不影响作物产量。然而，关于哪些做法肯定会产生积极成果的共识仍然有限。本研究综合了全球meta分析证据（包括81项一级meta研究和275项配对观察），通过对这些主题的meta分析数据的二次利用，确定了不同农业实践对作物产量、有机碳含量和温室气体排放的影响。结果表明：轮作、覆膜、新作物品种和各种肥料管理策略均能显著提高作物产量（最高达62%）；轮作、保护性耕作、深耕、添加生物炭、添加有机肥、覆盖作物、秸秆管理显著提高了土壤有机碳含量（最高达34.30%）；作物新品种、深度施肥、增效肥和不漫灌能有效降低CH4排放，减少氮肥和除草剂用量能降低N2O排放。在所有评估方法中，水稻与动物共栽培是稻田中最稳定的有益策略之一，可提高作物产量2.48%，提高有机碳10.03%，减少CH4排放−36.30%。在未明确的土地利用模式下，生物炭是最有利的策略，可提高作物产量和有机碳（12.79%,32.71%），减少温室气体排放（- 8.68% ~ - 6.22%）。通过量化水田、旱地和混合农田系统的加权效应大小，该综合研究为设计低碳农业系统提供了明确的证据基础。

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引用次数: 0

Spatiotemporal patterns and enhancement potential of global water retention: Insights from a water balance-geographical detector framework 全球水保持的时空格局和增强潜力：来自水平衡-地理探测器框架的见解

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-10 DOI: 10.1016/j.jclepro.2026.147487

Jinxia Zhang , Zhao Liu , Jiaqi Zhang , Hui Qian , Puxia Wu , Qiuping Yang , Zhi Chu , Yu Bai

Water retention is one of the essential ecosystem service functions, playing a critical role in maintaining regional ecological security and the sustainable development of water resources. This study, based on the principle of water balance and employing the optimal parameters-based geographical detector, revealed the spatiotemporal patterns of global water retention from 1991 to 2019, identified the main driving factors, and proposed a method for assessing water retention potential. The results indicate that tropical regions represent the core zones of global water retention, whereas arid and semi-arid areas exhibit pronounced declining trends in water retention. Autumn and winter represent the peak periods of retention, while spring and summer correspond to risk periods. Precipitation is the primary factor influencing the spatial variability of water retention, and it exhibits a significant nonlinear-enhance interaction with evapotranspiration, jointly shaping the spatial pattern of water retention. Globally, the potential for increasing water retention is predominantly at medium to high levels, with most regions having room for enhancement, and South America showing the greatest potential. This study provides a critical theoretical foundation and data support for the scientific enhancement of water retention in the future and offers valuable reference for the formulation of sustainable water resource management and ecological conservation policies.

保水是重要的生态系统服务功能之一，对维护区域生态安全和水资源可持续发展具有至关重要的作用。基于水平衡原理，采用基于最优参数的地理探测器，揭示了1991 - 2019年全球保水的时空格局，确定了主要驱动因素，并提出了保水潜力评价方法。结果表明，热带地区是全球保水的核心区，而干旱和半干旱地区的保水呈明显下降趋势。秋季和冬季是滞留高峰期，而春季和夏季是风险期。降水是影响水土保持空间变异的主要因子，与蒸散发呈显著的非线性增强交互作用，共同塑造水土保持的空间格局。在全球范围内，增加水潴留的潜力主要处于中高水平，大多数区域都有提高的空间，南美洲显示出最大的潜力。该研究为今后科学提高保水能力提供了重要的理论基础和数据支持，为制定可持续水资源管理和生态保护政策提供了有价值的参考。

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引用次数: 0

Speciation of N, P, K nutrient elements and heavy metals in sewage sludge char produced from a pilot-scale thermal carbonization device and its utilization in soil amendment 中试热炭化装置产生的污泥炭中N、P、K营养元素和重金属形态及其在土壤改良剂中的利用

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-09 DOI: 10.1016/j.jclepro.2026.147520

Long Chen , Yibin Wang , Tianming Yin , Shilin Yu , Wen Sun , Chunli Zheng , Houzhang Tan , Jinwei Zhu , Zhicheng Pan

Municipal sewage sludge is featured by both pollution risks and resource attributes. However, existing collaborative disposal technologies suffer from several inevitable defects including heavy metal residues, pollutants control, and limited nutrients utilization. Nevertheless, thermal carbonization technology offers several advantages for resource recovery and utilization by converting sewage sludge into high value-added biochar. To clarify its potential of sewage sludge char (SSC) utilization in soil amendment, this work aimed to comparatively analyze the speciation of N, P, K nutrients and heavy metals in dried sewage sludge (DSS), and SSC produced from a pilot-scale thermal carbonization device. The results showed that the total nutrient element in SSC was increased to 10.02 % (as the form of N + P₂O₅+K₂O), in comparison with DSS. Specifically, total N element in SSC accounted for 3.68 %, and its speciation shifted towards more stable pyridine/pyrrole-N. Total P element increased to 4.11 %, primarily existing as the form of biologically-available inorganic-P. Total K element was slightly decreased to 0.58 % but the relative proportion of available-K content was increased. Moreover, pilot-scale thermal carbonization process also showed a satisfactory fixation effect on heavy metal elements, and it promoted the transformation into oxidizable and residual form with a lower leaching risk level. Critically, with SSC improving soil structure and nutrient content (e.g., N, P, K, and organic matter), maize pot experiments further confirmed its promoting effect on plant growth, including accelerated germination, increased plant height and root/stem biomass. This pilot-scale thermal carbonization method provided a cleaner utilization paradigm for municipal sewage sludge valorization.

城市污泥既具有污染风险，又具有资源属性。然而，现有协同处置技术存在重金属残留、污染物控制、养分利用受限等不可避免的缺陷。然而，热碳化技术通过将污水污泥转化为高附加值的生物炭，在资源回收和利用方面具有若干优势。为了明确污水污泥炭（SSC）在土壤改良中的潜力，本研究旨在比较分析干燥污泥（DSS）和中试热炭化装置生产的污泥炭（SSC）中N、P、K养分和重金属的形态。结果表明，与DSS相比，SSC中总营养元素以N + P2O5+K2O的形式增加了10.02%。其中，SSC中N元素总量占3.68%，其形态向更稳定的吡啶/吡咯-N转移。全磷元素增加到4.11%，主要以生物有效态无机磷的形式存在。全钾含量略有下降，降至0.58%，但速效钾含量的相对比例有所增加。此外，中试热碳化工艺对重金属元素的固定效果也较好，促进了重金属元素向可氧化和残余形态的转化，浸出风险水平较低。重要的是，随着SSC改善土壤结构和养分含量（如N、P、K和有机质），玉米盆栽试验进一步证实了SSC对植物生长的促进作用，包括加速发芽、增加株高和根茎生物量。这种中试规模的热碳化方法为城市污水污泥的增值提供了一种更清洁的利用范例。

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引用次数: 0

Comparative assessment of manual and UAV-based deep learning approaches for beach litter 海滩垃圾人工和无人机深度学习方法的比较评估

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-09 DOI: 10.1016/j.jclepro.2026.147512

Haiwei Li , Shiqi Jiang , Zhengye Xiong , Zhenqing Dai , Ruikun Sun , Chengyong Li

Since the 1980s, marine litter has increasingly accumulated on global coastlines. Traditional monitoring methods are time-consuming, labor-intensive, and face significant challenges in consistently detecting small or partially buried litter, which has driven the need for intelligent, data-driven approaches. This study proposes an optimized UAV-deep learning framework to address these challenges. We selected two typical coastal regions in Guangdong Province, China: Donghai Island (Zhanjiang) and Daya Bay (Huizhou). At these sites, a high-resolution dataset consisting of 6300 UAV images through aerial photography and manual annotation. An enhanced YOLOv8 model with Gold-YOLO-inspired feature extraction and fusion was developed and trained on this dataset. The optimized model achieved 96.50 % precision, 87.00 % recall, 91.50 % F1-score, and 89.80 % [email protected], markedly outperforming baseline YOLO variants and traditional manual methods in both accuracy and efficiency. Field validation at 12 sampling sites showed that the system improves operational efficiency by 75 %, completing surveys in hours instead of days. Environmental assessment using the Clean Coast Index (CCI), Plastic Abundance Index (PAI), and Hazardous Litter Index (HLI) revealed that plastics account for 85 % of all detected litter. The proposed UAV-deep learning framework enables rapid, accurate, and cost-efficient large-scale beach litter monitoring, providing coastal managers with a practical tool for data-driven environmental management and pollution control. It paves the way for integration with automated cleanup systems and long-term ecological risk assessment, contributing to global marine plastic pollution mitigation.

自20世纪80年代以来，海洋垃圾越来越多地积聚在全球海岸线上。传统的监测方法既耗时又费力，而且在持续检测少量或部分掩埋的垃圾方面面临重大挑战，因此需要智能、数据驱动的方法。本研究提出了一个优化的无人机深度学习框架来解决这些挑战。我们选择了中国广东省两个典型的沿海地区：东海岛（湛江）和大亚湾（惠州）。在这些站点，通过航空摄影和人工注释，获得了由6300张无人机图像组成的高分辨率数据集。在此数据集上开发并训练了基于gold - yolo的特征提取和融合的增强YOLOv8模型。优化后的模型准确率为96.50%，召回率为87.00%，f1评分为91.50%，[email protected]为89.80%，在准确率和效率上均明显优于基准YOLO变体和传统的手动方法。在12个采样点的现场验证表明，该系统将作业效率提高了75%，在数小时内完成调查，而不是几天。使用清洁海岸指数（CCI）、塑料丰度指数（PAI）和有害垃圾指数（HLI）进行的环境评估显示，塑料占所有检测到的垃圾的85%。提出的无人机深度学习框架能够实现快速、准确和经济高效的大规模海滩垃圾监测，为沿海管理者提供数据驱动的环境管理和污染控制的实用工具。它为与自动清理系统和长期生态风险评估相结合铺平了道路，有助于减轻全球海洋塑料污染。

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引用次数: 0

Thermochemical conversion of sunn hemp biomass and mixed plastic waste via co-liquefaction 大麻生物质与混合塑料废弃物共液化的热化学转化

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-09 DOI: 10.1016/j.jclepro.2026.147500

Rasangika Thathsaranee Weligama Thuppahige , Sewwandi Rasangani Jaburegoda Pathiranage , Gevindu Wathsala Widanagamage , Gabriel Fraga , Paul Roe , Luqman Atanda , Lalehvash Moghaddam

Global interest has surged in the co-liquefaction of oxygen-rich lignocellulosic biomass with hydrogen-rich plastic into oil, a valuable precursor for biofuel and biomaterial. This study investigates the co-liquefaction of modelled mixed plastic waste with sunn hemp (Crotalaria juncea) biomass (SHB) for oil production. Initially, SHB was co-liquefied with polyethylene terephthalate (PET) under varying conditions, including temperature (300–340 °C), residence time (30–90 min), and biomass-to-plastic ratio (1:2–2:1), to optimise the process using Response Surface Methodology. The predicted optimal conditions at 324 °C, a 1:2 biomass-to-plastic ratio, and a 30 min residence time yielded a maximum theoretical oil output of 57.79 wt%. Under these conditions, experimental validation resulted in an oil yield of 55.73 ± 1.11 wt% (close to the predicted 57.79 wt%), demonstrating a positive synergistic effect. The co-liquefaction of SHB with binary and ternary plastic mixtures produced oil yields of 22–62 wt%. Notably, the SHB + PET + flexible polyurethane (PUF) (58.33 wt%) and SHB + PET + PUF + rigid polyurethane (62.36 wt%) combinations achieved the highest yields, exhibiting corresponding higher heating values of 27.18 and 27.63 MJ/kg, respectively. Co-liquefaction also improved oil yields from lower-performing plastics such as polypropylene, polystyrene, and low-density polyethylene. Polyurethane (PU) co-liquefaction improved overall process efficiency via enhanced oil, carbon, and energy recovery compared to pure SHB processing. Detailed characterisation indicated that PU-derived nitrogen-containing compounds enhanced oil formation through increased heteroatomic reactivity. Finally, co-liquefaction of lignocellulosic biomass with mixed plastic waste offers a more viable approach for waste valorisation than relying on sorting, paving the way for energy and carbon recovery.

全球对富氧木质纤维素生物质与富氢塑料共同液化成石油的兴趣激增，石油是生物燃料和生物材料的宝贵前体。本研究研究了模拟混合塑料废物与太阳麻（Crotalaria juncea）生物质（SHB）的共液化用于石油生产。最初，SHB与聚对苯二甲酸乙二醇酯（PET）在不同条件下共液化，包括温度（300-340°C）、停留时间（30-90分钟）和生物质与塑料的比例（1:2-2:1），以利用响应面法优化工艺。预测的最佳条件为324°C， 1:2的生物质与塑料比，30分钟的停留时间，最大理论产油量为57.79 wt%。在这些条件下，实验验证的产油率为55.73±1.11 wt%（接近预测的57.79 wt%），显示出积极的协同效应。SHB与二元和三元塑料混合物共液化，产油率为22 - 62%。值得注意的是，SHB + PET +柔性聚氨酯（PUF）（58.33 wt%）和SHB + PET + PUF +刚性聚氨酯（62.36 wt%）组合的产率最高，热值分别为27.18和27.63 MJ/kg。共液化还提高了聚丙烯、聚苯乙烯和低密度聚乙烯等低性能塑料的石油产量。与纯SHB工艺相比，聚氨酯（PU）共液化通过提高油、碳和能量回收，提高了整体工艺效率。详细的表征表明，pu衍生的含氮化合物通过增加杂原子反应性来促进石油的形成。最后，木质纤维素生物质与混合塑料废物的共液化提供了一种比依赖分类更可行的废物增值方法，为能源和碳回收铺平了道路。

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引用次数: 0

Long-term scenarios for climate adaptation of cotton crops in China, considering multidimensional biophysical and socio-economic scenario analysis 基于多维生物物理和社会经济情景分析的中国棉花作物气候适应长期情景

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-09 DOI: 10.1016/j.jclepro.2026.147491

Simeng Guo , Fengqi Wu , Yuhan Wang , Jian Wang , Zhenggui Zhang , Zhanlei Pan , Chenxi Chong , Pengcheng Li , Weibin Huang , Guilan Sun , Xin Li , Shuchen Wang , Junhong Li , Yaopeng Zhang , Wenqi Zhao , Menghua Zhai , Lei Gao , Liantao Liu , Zhanbiao Wang

Climate change is fundamentally reshaping agricultural land suitability, with profound implications for water use, carbon emissions, and crop productivity. Understanding the long-term drivers of climate on the planting suitability of arable land and exploring multi-sectoral coordinated response solutions for the climate-agriculture-society system are essential for mitigating and adapting to climate change. This study develops a multidimensional framework to assess climate adaptation scenarios for cotton−one of the world's most important cash crops−in China from 1960 to 2100. Integrating species distribution modeling with socio-economic scenario analysis, we identify three key findings: (1) Historical cotton's highly suitable areas has shifted northward (+166 km) and to higher elevations (+47 m average) due to changing climate-soil-topography interactions; (2) While climatic suitability determines land potential, actual planting decisions are still mainly driven by economic returns, coordinating to local production management level; (3) Sustainable adaptation requires balancing biophysical suitability with production efficiency and circular economy practices. This study emphasizes not only the climate impact on agricultural land use changes but also reveals the synergistic mechanisms between climatic suitability, socio-economic, and production factors, that inform targeted land-use planning. Based on these findings, we recommend that future agricultural policies prioritize climate-smart land-use zoning, support adaptive infrastructure development in emerging suitable regions, and provide economic incentives to guide planting structure optimization under climate change scenarios. These insights play a crucial role in optimizing climate-smart farming structures, promoting agricultural adaptation and mitigation of climate change, and realize the sustainable and cleaner production under climate change.

气候变化正在从根本上重塑农业用地的适宜性，对水资源利用、碳排放和作物生产力产生深远影响。了解气候对耕地种植适宜性的长期驱动因素，探索气候-农业-社会系统的多部门协调响应方案，对于减缓和适应气候变化至关重要。本研究开发了一个多维框架来评估1960年至2100年中国棉花（世界上最重要的经济作物之一）的气候适应情景。结合物种分布模型和社会经济情景分析，我们发现了三个主要发现：(1)由于气候-土壤-地形相互作用的变化，历史上棉花的高度适宜区向北移动（+166 km），并向更高的海拔（平均+47 m）移动；(2)虽然气候适宜性决定了土地潜力，但实际种植决策仍主要由经济效益驱动，与当地生产管理水平相协调；(3)可持续适应需要平衡生物物理适宜性与生产效率和循环经济实践。本研究不仅强调了气候对农业用地变化的影响，而且揭示了气候适宜性、社会经济和生产要素之间的协同机制，为有针对性的土地利用规划提供了依据。基于这些发现，我们建议未来的农业政策应优先考虑气候智慧型土地利用区划，支持新兴适宜地区的适应性基础设施建设，并提供经济激励以指导气候变化情景下的种植结构优化。这些见解对于优化气候智能型农业结构，促进农业适应和减缓气候变化，实现气候变化下的可持续清洁生产具有重要作用。

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引用次数: 0

Interfacial engineering of amyloid nanocomposites for eco-friendly and high-efficacy herbicide delivery 生态高效除草剂淀粉样纳米复合材料的界面工程研究

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-09 DOI: 10.1016/j.jclepro.2026.147462

Kai Yu , Ying Wang , Jiameng Tian , Huiling Lu , Peng Zhao , Jianming Pan

To address the critical issue of pesticide loss (up to ∼60 % of applied pesticides) caused by splash, rebound, and rain-induced runoff, which contaminates groundwater and poses risks to human health and the environment, this study presents a novel interfacial engineering strategy to enhance herbicide droplet deposition and adhesion on (super)hydrophobic leaf surfaces. This strategy utilizes the interfacial assembly of amyloid-like protein/laponite (PTB/LAP) nanocomposites to create stable oil-in-water (O/W) nanoemulsions with strong foliar affinity. Specifically, bovine serum albumin (BSA) is first adsorbed onto laponite (LAP) surfaces via hydrogen bonding; subsequent introduction of tris(2-carboxyethyl)phosphine (TCEP) reduces BSA's disulfide bonds, triggering in situ amyloid-like aggregation of surface-bound BSA (PTB) to form PTB/LAP nanocomposites. These nanocomposites significantly enhance interfacial activity, reducing aqueous surface tension to ∼36 mN/m, and form elastic-dominated interfacial networks with excellent mechanical strength. The resulting PTB/LAP nanoemulsion remains stable (mean droplet size ∼250 nm, polydispersity index <0.2) for over 180 days. It exhibits rapid, nanosecond-scale anchoring on leaf cuticles, yielding a 3.6-times higher retention rate than BSA/LAP emulsions under simulated heavy rainfall (150 mm per day). At an equal dosage of 2,4-D isooctyl ester, the nanoemulsion achieves 96.9 % efficacy against shepherd's purse, 2.2 times higher than conventional emulsifiable concentrates (ECs), which only achieve ∼43.5 % efficacy. Furthermore, the PTB/LAP nanoemulsion demonstrates exceptional biocompatibility, with 100 % survival of non-target land snails after 120 h and no significant cytotoxicity or genotoxicity in CHL cell assays. This work provides an eco-friendly, scalable platform for improving pesticide efficiency, reducing environmental contamination, and advancing sustainable agriculture.

为了解决由飞溅、回弹和雨水径流引起的农药损失（农药用量高达60%）的关键问题，这些问题污染地下水并对人类健康和环境构成威胁，本研究提出了一种新的界面工程策略，以增强除草剂液滴在（超）疏水性叶片表面的沉积和粘附。该策略利用淀粉样蛋白/拉脱石（PTB/LAP）纳米复合材料的界面组装来制造具有强叶面亲和力的稳定的水包油（O/W）纳米乳液。具体来说，牛血清白蛋白（BSA）首先通过氢键吸附在laponite （LAP）表面；随后，三（2-羧基乙基）膦（TCEP）的引入降低了BSA的二硫键，触发了表面结合的BSA （PTB）的原位淀粉样聚集，形成PTB/LAP纳米复合材料。这些纳米复合材料显著提高了界面活性，将水表面张力降低到~ 36 mN/m，并形成具有优异机械强度的弹性为主的界面网络。得到的PTB/LAP纳米乳液在180天内保持稳定（平均液滴尺寸约250 nm，多分散性指数<；0.2）。它在叶片角质层上表现出快速的、纳秒级的锚定，在模拟强降雨（每天150毫米）下，其保留率比BSA/LAP乳液高3.6倍。在同等剂量的2,4- d异辛酯下，纳米乳液对荠菜的功效达到96.9%，是传统乳化剂（ECs）的2.2倍，后者的功效仅为~ 43.5%。此外，PTB/LAP纳米乳表现出优异的生物相容性，在非靶蜗牛120小时后存活率为100%，在CHL细胞试验中没有明显的细胞毒性或遗传毒性。这项工作为提高农药效率、减少环境污染和推进可持续农业提供了一个生态友好、可扩展的平台。

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引用次数: 0

Internet use and public acceptance of nuclear energy: Evidence from China 互联网使用和公众对核能的接受：来自中国的证据

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-09 DOI: 10.1016/j.jclepro.2026.147508

Lilian Li , Jiaping Zhang , Shuai Zhang , Xiaomei Gong

As nuclear power projects remain controversial in many countries worldwide, it is crucial to understand the determinants of public acceptance of nuclear energy. This study attempts to explore the relationship between Internet use and an individual's willingness to accept (WTA) compensation for the construction of nuclear power plants. Based on data from the Chinese General Social Survey, instrumental variable estimates reveal a significant and negative correlation between Internet use and WTA. Further analyses show that Internet use improves individuals' knowledge of nuclear energy and reduces their safety-related risk perception, thus leading to a lower WTA. Meanwhile, Internet use increases individuals' environmental-related risk perception, which is negatively correlated with WTA. These findings provide several implications for policymakers designing nuclear policy in the digital age.

由于核能项目在世界上许多国家仍然存在争议，因此了解公众接受核能的决定因素至关重要。本研究旨在探讨互联网使用与个人接受核电厂建设补偿意愿之间的关系。基于中国综合社会调查的数据，工具变量估计显示互联网使用与WTA之间存在显著的负相关关系。进一步分析表明，互联网的使用提高了个人对核能的认识，降低了他们对安全相关风险的认知，从而导致了较低的WTA。同时，网络使用增加了个体的环境相关风险感知，与WTA呈负相关。这些发现为决策者在数字时代设计核政策提供了一些启示。

引用次数: 0

Improving the multi-temporal dissolved oxygen estimation using statistically enhanced remote sensing proxies in data-scarce, optically complex inland water 在数据匮乏、光学复杂的内陆水域，利用统计增强的遥感代用物改进多时相溶解氧估算

IF 1 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Journal of Cleaner Production

Pub Date : 2026-01-09 DOI: 10.1016/j.jclepro.2026.147481

Shishir Gaur , Rajarshi Bhattacharjee , Shubha Shivani , Venu Banoth , Anurag Ohri , Dheeraj Joshi , Shard Chander

Monitoring optically inactive water quality (WQ) parameters, such as dissolved oxygen (DO), through remote sensing presents a significant challenge due to their lack of spectral signatures. Traditional in-situ methods provide only point measurements with limited spatial coverage. This study introduces a novel remote sensing framework for spatially continuous, multi-temporal dissolved oxygen (DO) estimation in inland water bodies. The framework is demonstrated on the river Ganga in Varanasi, India. The approach leverages satellite-derived normalised Water Surface Temperature (n-WST) and Normalised Difference Vegetation Index (NDVI) as key proxies. Symbolic Regression (SR) was selected for its modelling efficacy with limited datasets and ability to generate interpretable mathematical relationships. The SR model achieved Mean Absolute Percentage Error (MAPE) of 17.44 % on the test dataset of February 5, 2025, and MAPE of 18.12 % when applied to satellite data of November 26, 2025, demonstrating robust multi-temporal generalization. Trained on the dataset of November 26, 2025, Random Forest (RF) and Support Vector Regressor (SVR) exhibited MAPE (%) values of 21.26 and 26.43 respectively on the test dataset. Satellite based seasonal analysis revealed DO variability from 6.32 ppm during summer to 9.06 ppm in winter. The framework emphasized the importance of thermodynamic control through inverse DO-temperature relationships over positively correlated association between DO and chlorophyll-a while capturing spatial-temporal heterogeneity. By coupling interpretable machine learning with remote sensing proxies, the framework addresses data scarcity and lack of spectral signature of certain WQ parameters, offering a scalable and effective framework for monitoring WQ parameters using satellite data.

由于缺乏光谱特征，通过遥感监测光学非活性水质（WQ）参数（如溶解氧（DO））面临着重大挑战。传统的原位方法只能提供有限空间覆盖的点测量。本研究提出了一种新的遥感框架，用于内陆水体空间连续、多时段的溶解氧（DO）估算。该框架在印度瓦拉纳西的恒河上进行了演示。该方法利用卫星导出的归一化水面温度（n-WST）和归一化植被指数（NDVI）作为关键代理。选择符号回归（SR）是因为它在有限数据集的建模效果和生成可解释的数学关系的能力。SR模型在2025年2月5日测试数据集上的平均绝对百分比误差（MAPE）为17.44%，在2025年11月26日卫星数据上的平均绝对百分比误差（MAPE）为18.12%，具有较强的多时段概化能力。在2025年11月26日的数据集上训练，随机森林（Random Forest， RF）和支持向量回归器（Support Vector Regressor， SVR）在测试数据集上的MAPE（%）分别为21.26和26.43。基于卫星的季节分析显示，DO的变化从夏季的6.32 ppm到冬季的9.06 ppm。该框架强调了通过DO-温度逆关系进行热力学控制的重要性，而不是DO与叶绿素-a之间的正相关关系，同时捕获了时空异质性。通过将可解释的机器学习与遥感代理相结合，该框架解决了某些WQ参数的数据稀缺性和频谱特征的缺乏，为使用卫星数据监测WQ参数提供了一个可扩展和有效的框架。

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引用次数: 0