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Mapping stakeholders’ dynamics for sustainable PKC distribution in cattle feed: An integrated MICMAC-MACTOR analyses 绘制利益相关者对牛饲料中PKC可持续分布的动态:综合MICMAC-MACTOR分析
Q2 Environmental Science Pub Date : 2025-12-01 DOI: 10.1016/j.envc.2025.101376
Priyono , Atien Priyanti , Robet Asnawi , Yayat Hidayat , I Gusti Ayu Putu Mahendri , Dwi Yulistiani , Hotmatua Daulay , Arif Dwi Santoso , Uning Budiharti , Astu Unadi , Adji Parikesit , Umi Karomah Yaumidin , Irawan
Palm kernel cake (PKC), a by-product of the palm oil industry, is considered a sustainable and affordable cattle feed source in Indonesia. However, its adoption remained constrained by institutional fragmentation, market inefficiencies, and logistical challenges. To address this, the study evaluates how accessible PKC is as sustainable cattle feed, using an integrated approach that combines the Matrix of Cross-Impact Multiplications Applied to Classification (MICMAC) and the Matrix of Alliances and Conflicts: Tactics, Objectives, and Recommendations (MACTOR) analyses. A total of 32 respondents and 14 key stakeholders involved in the PKC supply chain from three districts in Riau Province participated in the study. Data was collected through structured questionnaires, focus group discussions, and in-depth interviews. Respondents involved in cattle farming who rely on PKC as an alternative feed were selected using purposive sampling. The results of MICMAC analysis showed that government and institutional actors as key leverage points for improving access to PKC, with price, suppliers, and quantity being the main economic factors. The MACTOR analysis revealed that structural imbalances of dominant actors, such as the feedlot association, plasma association, and feed suppliers, wield significant influence. Meanwhile, relay actors, including livestock services, the directorate, estate services, and grassroots organizations, are highly dependent and under-resourced. Autonomous stakeholders like the palm oil association, universities, and banks remained under-mobilized. Additionally, divergence mapping showed tensions between stakeholders focused on export markets and those prioritizing food security. These findings highlight the importance of multi-level, collaborative governance to improve system alignment, infrastructure, and institutional capacity for sustainable livestock feed strategies. The study recommends establishing a cross-sectoral governance platform to align institutional priorities, strengthen infrastructure, and improve stakeholder coordination. Future research should also explore financial models for local cooperative-based PKC distribution systems.
棕榈仁饼(PKC)是棕榈油工业的副产品,在印度尼西亚被认为是一种可持续和负担得起的牛饲料来源。然而,它的采用仍然受到制度分散、市场效率低下和后勤挑战的限制。为了解决这一问题,本研究使用综合方法评估了PKC作为可持续牛饲料的可获得性,该方法结合了应用于分类的交叉影响乘法矩阵(MICMAC)和联盟与冲突矩阵:策略、目标和建议(MACTOR)分析。共有来自廖内省三个地区的32名受访者和14名参与PKC供应链的主要利益相关者参与了这项研究。通过结构化问卷调查、焦点小组讨论和深度访谈收集数据。使用有目的的抽样选择了依赖PKC作为替代饲料的养牛业受访者。MICMAC分析结果表明,政府和机构行为者是改善获得PKC的关键杠杆点,价格、供应商和数量是主要的经济因素。MACTOR分析显示,主要参与者(如饲养场协会、血浆协会和饲料供应商)的结构不平衡具有重大影响。与此同时,包括畜牧服务、理事会、房地产服务和基层组织在内的接力行动者高度依赖,资源不足。像棕榈油协会、大学和银行这样的自主利益相关者仍然动员不足。此外,差异地图显示了以出口市场为重点的利益攸关方与以粮食安全为重点的利益攸关方之间的紧张关系。这些发现强调了多层次协作治理对于改善可持续牲畜饲料战略的系统一致性、基础设施和机构能力的重要性。该研究建议建立一个跨部门治理平台,以协调机构优先事项,加强基础设施建设,并改善利益相关者的协调。未来的研究还应探索以地方合作为基础的PKC分配系统的财务模式。
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引用次数: 0
Advancing postharvest storage management using sensors and smart technologies: A national and global perspective 利用传感器和智能技术推进采后储存管理:国家和全球视角
Q2 Environmental Science Pub Date : 2025-12-01 DOI: 10.1016/j.envc.2025.101379
Awais Ahmad , Fazal Jalal , Shah Fahad , Nazia Tahir , Aqib Iqbal , Rukhsar Bakhtaj , Sarir Ahmad , Zafar Hayat Khan , Badshah Islam , Mahmood Hemat , Tanzeel Ur Rahman , Shah Saud , Taufiq Nawaz
The transformation of crop yield storage management through sensor technologies is the most promising solution, addressing the critical issue of post-harvest losses that threaten global food security. The present review explains various sensor-based systems in monitoring and controlling environmental factors such as temperature, humidity and gas emissions to maintain crop quality and prevent spoilage. This review followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Scoping Reviews) guidelines to ensure transparency, rigor and reproducibility in literature identification, screening and synthesis. The review discusses sensor applications across various crop types that range wide from cereals and pulses to perishable fruits and high-value crops, emphasizing customized solutions targeting specific storage requirements. On a regional basis, disparities in technological advancement are evident, with high-tech automated systems being the predominantly concentrated in developed countries, whereas those that favor innovation with sensor solutions that are cheap and scalable, while developing countries are characterized by infrastructural constrains and a focus on affordable, scalable innovations. Pakistan’s early initiatives in sensor-based storage management illustrate how much technologies can enhance agricultural resilience in similar developing context. The initial disposition of Pakistan toward sensor-centered storage management serves as an emblem of how such technology can promote agricultural resilience in settings of comparable nature. Economic analysis indicates a favorable cost-benefit ratio for sensors deployment, hinged upon a reduction in post-harvest losses, energy efficiency in storage, and socioeconomic upliftment of smallholder farmers. Nevertheless, challenges such as high initial investment, skill gaps, sensor durability, connectivity challenges, and policy hurdles remain acute. The future is one where AI powered smart storage systems, nanotechnology-based sensors, and synergized digital ecosystems will offer precision, automation, and sustainability. This requires joint efforts between governments, the private sector, and international agencies to increase the scale of innovations and build capacity. Overall, sensors technologies are revolutionizing sustainable, technology-enabled agricultural storages systems that preserve food security, promote efficient resource use and improve livelihood worldwide.
通过传感器技术改造作物产量储存管理是最有希望的解决方案,可以解决威胁全球粮食安全的收获后损失这一关键问题。本文介绍了用于监测和控制环境因素(如温度、湿度和气体排放)的各种基于传感器的系统,以保持作物质量和防止变质。本综述遵循PRISMA-ScR(系统评价和荟萃分析范围评价的首选报告项目)指南,以确保文献识别、筛选和合成的透明度、严谨性和可重复性。该综述讨论了传感器在各种作物类型中的应用,从谷物和豆类到易腐水果和高价值作物,强调了针对特定存储要求的定制解决方案。在区域基础上,技术进步的差异是明显的,高科技自动化系统主要集中在发达国家,而那些倾向于廉价和可扩展的传感器解决方案创新的系统,而发展中国家的特点是基础设施受限,注重负担得起的、可扩展的创新。巴基斯坦在基于传感器的存储管理方面的早期举措表明,在类似的发展背景下,技术可以在多大程度上提高农业的复原力。巴基斯坦最初倾向于以传感器为中心的存储管理,这标志着这种技术如何在类似性质的环境中促进农业恢复能力。经济分析表明,部署传感器的成本效益比有利,这取决于减少收获后损失、提高储存能源效率和提高小农的社会经济水平。然而,诸如高初始投资、技能差距、传感器耐久性、连接挑战和政策障碍等挑战仍然严峻。未来,人工智能驱动的智能存储系统、基于纳米技术的传感器和协同数字生态系统将提供精度、自动化和可持续性。这需要政府、私营部门和国际机构共同努力,扩大创新规模,建设能力。总的来说,传感器技术正在彻底改变可持续的、技术支持的农业储存系统,从而保障粮食安全,促进资源的有效利用,改善全世界的生计。
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引用次数: 0
Corrigendum to “Bayesian spatial prediction of soil organic carbon stocks in eastern DRC using INLA-SPDE and environmental covariates” [Environmental Challenges Volume 21, December 2025, 101303] “使用INLA-SPDE和环境协变量的刚果民主共和国东部土壤有机碳储量的贝叶斯空间预测”的更正[环境挑战第21卷,2025年12月,101303]
Q2 Environmental Science Pub Date : 2025-12-01 DOI: 10.1016/j.envc.2025.101321
Alain Matazi Kangela , Bitaisha Nakishuka Shukuru , Serge Mugisho Mukotanyi , Gerard Imani , Yannick Mugumaarhahama , Daniel Muhindo Iragi , Dieudonné Shamamba Bahati , Janvier Bigabwa Bashagaluke , Wivine Munyahali
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引用次数: 0
Ecosystem services provided by Ricinodendron heudelotii (Baill.) Pierre ex Heckel in Benin: Local perception and associated factors 蓖麻的生态系统服务功能研究Pierre ex Heckel在贝宁:当地看法和相关因素
Q2 Environmental Science Pub Date : 2025-12-01 DOI: 10.1016/j.envc.2025.101378
Mirabelle Rubielle Mahuwènan Gandji , Kolawolé Valère Salako , Guillaume Hounsou-Dindin , Romain Glèlè Kakaï , Achille Ephrem Assogbadjo
Ricinodendron heudelotii is a multipurpose wild oil tree native to Africa, including Benin, where it is less abundant compared to common NTFPs-providing species. Understanding socio-demographic and geographic factors associated with local perceptions of the ecosystem services (ES) it provides can offer valuable insights to better guide its valorisation and conservation. In this study, face-to-face interviews were conducted across the two biogeographical zones (Soudano-Guinean and Guineo-Congolian) where it is found in Benin to investigate local knowledge of its ecosystem services and associated factors. The diversity and perceived importance of ecosystem services were analysed using quantitative ethnobotanical indices. Results showed that provisioning services were mostly reported (58.50 %) in the Soudano-Guinean zone while cultural services (40.90 %) were mostly mentioned in the Guineo-Congolian population. In the Guineo-Congolian zone, the stem of its adult individuals is mainly used to make the "Guèlèdè mask" and the tam-tam (a kind of drum), which are used during local ceremonies. In both zones, the leaves and bark of the tree are widely used for medicinal purposes, primarily malaria, fever, and childbirth facilitation. Human food uses were only mentioned in the Sudano-Guinean zone where leaves are used as ingredient in Ocra sauce. Gender and residential status were associated to the knowledge of provisioning services, while age was the only factor associated with the knowledge of cultural services. These results show that the species is better known and valued by adults, particularly in the Guineo-Congolian zone. Raising local awareness of the species’ ecological and economic importance aims to promote the sustainable use of its resources, foster its integration into agroforestry systems and reduce pressure on natural populations, thereby supporting its long-term conservation and sustainability.
Ricinodendron heudelotii是一种多用途野生油树,原产于非洲,包括贝宁,与提供ntfp的常见物种相比,它的数量较少。了解与当地对生态系统服务(ES)的看法相关的社会人口和地理因素,可以为更好地指导其价值增值和保护提供有价值的见解。在本研究中,在贝宁发现的两个生物地理区域(苏丹-几内亚和几内亚-刚果)进行了面对面访谈,以调查当地对其生态系统服务和相关因素的了解。利用定量民族植物学指数分析了生态系统服务的多样性和感知重要性。结果显示,在苏丹-几内亚地区报告的提供服务最多(58.50%),而在几内亚-刚果人口中报告的文化服务最多(40.90%)。在几内亚-刚果地区,其成年个体的茎主要用于制作“Guèlèdè面具”和tamtam(一种鼓),用于当地的仪式。在这两个地区,这种树的叶子和树皮被广泛用于医疗目的,主要是疟疾、发烧和促进分娩。人类食品用途仅在苏丹-几内亚地区被提及,在那里叶子被用作Ocra酱的成分。性别和居住状况与提供服务的知识有关,而年龄是与文化服务知识有关的唯一因素。这些结果表明,成虫对该物种的认识和重视程度更高,特别是在几内亚-刚果地区。提高当地对该物种生态和经济重要性的认识,旨在促进其资源的可持续利用,促进其融入农林系统,减少对自然种群的压力,从而支持其长期养护和可持续性。
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引用次数: 0
Prediction of soil available nitrogen using machine learning and digital mapping techniques in Northeast India 利用机器学习和数字制图技术预测印度东北部土壤有效氮
Q2 Environmental Science Pub Date : 2025-11-22 DOI: 10.1016/j.envc.2025.101375
Amit Kumar , Pravash Chandra Moharana , Roomesh Kumar Jena , Sandeep Kumar Malyan , Ram Kishor Fagodiya , Aftab Ahmad Shabnam , S.N Vinodakumar , Dharmendra Kumar Jigyasu , Azad Gull , Kasthala Mary VijayaKumari , Gandhi Doss Subramaniam
Nitrogen (N) is an essential nutrient for crop growth, influencing both agricultural productivity and ecosystem processes. Conventional fertilizer recommendations often rely solely on soil N availability at sampling points, lacking information on its spatial variability. High-resolution spatial data are therefore crucial for sustaining sericulture production. This study represents the first effort to develop a spatial prediction map of available N in the Lakhimpur district, using 160 soil samples along with local environmental covariates. Five machine learning algorithms—Random Forest (RF), Cubist, XGBoost, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN)—were employed to predict available N in the plough layer (0–15 cm) at a 30 m resolution. Measured N values ranged from 102 to 580 kg ha⁻¹. Under random cross-validation, RF consistently outperformed other models (R²c = 0.96, RMSEc = 40.69 kg ha⁻¹ in calibration and R²v = 0.35, RMSEv = 70.44 kg ha⁻¹ in validation). In contrast, spatial cross-validation resulted in markedly lower accuracy across all models, with R² values varied between 0.02 and 0.27. Predicted N values varied between 172 and 438 kg ha⁻¹, while uncertainty, expressed as standard deviation, ranged from 101 to 111 kg ha⁻¹. The Dissimilarity Index (DI) and Area of Applicability (AOA) maps were used to delineate areas where model predictions are most reliable. Overall, the study demonstrates that machine learning combined with digital mapping provides a practical framework for predicting soil available N. The resulting high-resolution maps offer valuable insights for site-specific nutrient management and support precision agriculture planning in sericulture-based systems.
氮(N)是作物生长所必需的营养物质,影响着农业生产力和生态系统过程。传统的肥料建议通常仅仅依赖于采样点的土壤氮有效性,缺乏其空间变异性的信息。因此,高分辨率空间数据对维持蚕桑生产至关重要。该研究首次利用160个土壤样本和当地环境协变量,开发了拉金普尔地区有效氮的空间预测图。采用随机森林(RF)、Cubist、XGBoost、支持向量机(SVM)和k近邻(KNN)五种机器学习算法,以30米分辨率预测耕层(0-15 cm)的可用氮。测得的N值为102 ~ 580 kg ha(⁻¹)。在随机交叉验证下,RF模型始终优于其他模型(R²c = 0.96, RMSEc = 40.69 kg ha⁻¹,R²v = 0.35, RMSEv = 70.44 kg ha⁻¹)。相反,空间交叉验证导致所有模型的精度显著降低,R²值在0.02 ~ 0.27之间变化。预测的N值在172到438 kg - ha(毒血症)之间变化,而不确定度,以标准偏差表示,在101到111 kg - ha(毒血症)之间变化。使用不相似指数(DI)和适用区域(AOA)图来划定模型预测最可靠的区域。总体而言,该研究表明,机器学习与数字制图相结合,为预测土壤可用氮提供了一个实用的框架。由此产生的高分辨率地图为特定地点的养分管理提供了有价值的见解,并支持以蚕桑为基础的系统中的精准农业规划。
{"title":"Prediction of soil available nitrogen using machine learning and digital mapping techniques in Northeast India","authors":"Amit Kumar ,&nbsp;Pravash Chandra Moharana ,&nbsp;Roomesh Kumar Jena ,&nbsp;Sandeep Kumar Malyan ,&nbsp;Ram Kishor Fagodiya ,&nbsp;Aftab Ahmad Shabnam ,&nbsp;S.N Vinodakumar ,&nbsp;Dharmendra Kumar Jigyasu ,&nbsp;Azad Gull ,&nbsp;Kasthala Mary VijayaKumari ,&nbsp;Gandhi Doss Subramaniam","doi":"10.1016/j.envc.2025.101375","DOIUrl":"10.1016/j.envc.2025.101375","url":null,"abstract":"<div><div>Nitrogen (N) is an essential nutrient for crop growth, influencing both agricultural productivity and ecosystem processes. Conventional fertilizer recommendations often rely solely on soil N availability at sampling points, lacking information on its spatial variability. High-resolution spatial data are therefore crucial for sustaining sericulture production. This study represents the first effort to develop a spatial prediction map of available N in the Lakhimpur district, using 160 soil samples along with local environmental covariates. Five machine learning algorithms—Random Forest (RF), Cubist, XGBoost, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN)—were employed to predict available N in the plough layer (0–15 cm) at a 30 m resolution. Measured N values ranged from 102 to 580 kg ha⁻¹. Under random cross-validation, RF consistently outperformed other models (R²c = 0.96, RMSEc = 40.69 kg ha⁻¹ in calibration and R²v = 0.35, RMSEv = 70.44 kg ha⁻¹ in validation). In contrast, spatial cross-validation resulted in markedly lower accuracy across all models, with R² values varied between 0.02 and 0.27. Predicted N values varied between 172 and 438 kg ha⁻¹, while uncertainty, expressed as standard deviation, ranged from 101 to 111 kg ha⁻¹. The Dissimilarity Index (DI) and Area of Applicability (AOA) maps were used to delineate areas where model predictions are most reliable. Overall, the study demonstrates that machine learning combined with digital mapping provides a practical framework for predicting soil available N. The resulting high-resolution maps offer valuable insights for site-specific nutrient management and support precision agriculture planning in sericulture-based systems.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":"22 ","pages":"Article 101375"},"PeriodicalIF":0.0,"publicationDate":"2025-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145693046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing urban stormwater resilience through lot-scale outlet strategies 通过大规模排水策略增强城市雨水恢复能力
Q2 Environmental Science Pub Date : 2025-11-14 DOI: 10.1016/j.envc.2025.101372
Muhammad Baitullah Al Amin , Joko Sujono , Radianta Triatmadja
Urban lot-scale drainage design plays a crucial role in mitigating surface runoff and enhancing stormwater resilience in residential areas. This study investigated the hydrological responses of three outlet configurations—direct, garden, and bioretention cell (BRC) modes—under varying pervious-area ratios (αPA). A conceptual lot-scale model was developed using the Storm Water Management Model (SWMM) to simulate rainfall–runoff processes for five representative residential lots. Model performance was evaluated in terms of runoff volume reduction, peak discharge reduction, and flow delay. One-way ANOVA and Bonferroni post-hoc tests were applied to assess the statistical significance of outlet configurations and antecedent moisture conditions (AMCs), while a sensitivity analysis was conducted on the saturated hydraulic conductivity (Ksat) of BRC media. The results show that outlet configuration significantly influences lot-scale hydrologic performance. The BRC mode consistently achieved the greatest reductions in runoff volume and peak discharge, followed by the garden and direct modes. Statistical tests confirmed that outlet configuration effects were significant (p < 0.05), whereas AMCs exerted minimal influence. Sensitivity analysis indicated that performance was stable across a realistic Ksat range (100–300 mm/hr), confirming model robustness. Notably, runoff mitigation benefits became more evident when the pervious-area ratio exceeded approximately 25 %–35 %, suggesting a practical design threshold. Although the analysis was limited to a single 2-year design storm without field calibration, the findings provide comparative insights for optimizing lot-scale drainage design. Overall, the study highlights the potential of decentralized outlet strategies—particularly BRC systems—to enhance urban flood resilience and support sustainable stormwater management.
城市地块尺度排水设计在缓解地表径流和增强住区雨水恢复能力方面发挥着至关重要的作用。本文研究了直接、花园和生物滞留池(BRC)三种出口形态在不同渗透面积比(αPA)下的水文响应。利用雨水管理模型(SWMM)开发了一个概念性地块尺度模型,以模拟五个代表性住宅地块的降雨径流过程。从径流量减少、峰值流量减少和流量延迟三个方面对模型的性能进行了评估。采用单因素方差分析(One-way ANOVA)和Bonferroni事后检验(post-hoc)评估出口配置和预湿条件(AMCs)的统计显著性,并对BRC介质的饱和水力传导率(Ksat)进行敏感性分析。结果表明,出水口形态对流域水文特性有显著影响。BRC模式在径流量和峰值流量的减少上始终是最大的,其次是花园模式和直接模式。统计检验证实出口配置效应显著(p < 0.05),而amc的影响最小。敏感性分析表明,在实际Ksat范围(100-300 mm/hr)内,性能稳定,证实了模型的稳健性。值得注意的是,当渗透面积比超过约25% - 35%时,径流缓解效益变得更加明显,这表明了一个实际的设计阈值。虽然分析仅限于一个2年的设计风暴,没有现场校准,但研究结果为优化大规模排水设计提供了比较见解。总体而言,该研究强调了分散出口战略(特别是BRC系统)在增强城市洪水抵御能力和支持可持续雨水管理方面的潜力。
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引用次数: 0
Lead (II) adsorption by KOH-modified rice straw biochar from battery wastewater: Adsorption optimization, isotherm, kinetic and thermodynamic studies koh改性稻草炭吸附电池废水中铅(II):吸附优化、等温线、动力学和热力学研究
Q2 Environmental Science Pub Date : 2025-11-13 DOI: 10.1016/j.envc.2025.101371
Dan Tigalana , Bernard Ouma Alunda , Mary Nelima Ondiaka , Ildephonse Nibikora , Ocident Bongomin , Joseph Ddumba Lwanyaga
Lead (Pb(II)) contamination from battery manufacturing poses a major threat to aquatic systems in Uganda, necessitating cost-effective and sustainable treatment solutions. This study investigates KOH-modified rice straw biochar (KRSB) as an efficient and eco-friendly adsorbent for Pb(II) removal from battery wastewater. Rice straw was pyrolyzed to produce raw biochar (RSB) and subsequently activated with KOH. Both materials were characterized using X-ray fluorescence (XRF), scanning electron microscopy coupled energy-dispersive X-ray spectroscopy (SEM-EDX), and Fourier transformed infrared spectroscopy (FTIR) analyses. Batch adsorption experiments were conducted and optimized using response surface methodology (RSM), considering adsorbent dosage, initial Pb(II) concentration, contact time, temperature, and pH as key variables. The optimal conditions, 0.8 g/L dosage, 121 mg/L Pb(II), 52 min contact time, 33 °C, and pH 5.6, resulted in 85.1 % Pb(II) removal from real battery wastewater. XRF and SEM–EDX analyses suggested ion exchange and surface complexation as dominant mechanisms, supported by FTIR evidence of oxygen-containing functional groups (–OH, –COO⁻). Adsorption followed the Langmuir–Temkin isotherms and pseudo-second-order kinetics, indicating chemisorption with a maximum capacity of 129 mg/g. Thermodynamic parameters confirmed that the process was spontaneous and endothermic. Although KRSB demonstrated strong potential for wastewater remediation, further studies on activation energy, co-ion interference, adsorbent regeneration, and scale-up are recommended.
电池制造造成的铅(Pb(II))污染对乌干达的水生系统构成重大威胁,需要具有成本效益和可持续的处理解决方案。研究了koh改性稻秆生物炭(KRSB)作为高效、环保的吸附剂去除电池废水中的铅(II)。以稻秆为原料,热解制备生物炭(RSB),然后用KOH活化。采用x射线荧光(XRF)、扫描电镜耦合能量色散x射线能谱(SEM-EDX)和傅里叶变换红外光谱(FTIR)分析对两种材料进行了表征。以吸附剂投加量、初始Pb(II)浓度、接触时间、温度和pH为主要变量,采用响应面法(RSM)进行了批量吸附实验并进行了优化。在投加量为0.8 g/L、Pb(II)浓度为121 mg/L、接触时间为52 min、温度为33℃、pH为5.6的条件下,实际电池废水中Pb(II)的去除率为85.1%。XRF和SEM-EDX分析表明离子交换和表面络合是主要的机制,FTIR证据支持含氧官能团(-OH, -COO毒血症)。吸附遵循Langmuir-Temkin等温线和拟二级动力学,最大吸附量为129 mg/g。热力学参数证实该过程是自发的吸热过程。尽管KRSB在废水修复中显示出强大的潜力,但建议进一步研究活化能、协同离子干扰、吸附剂再生和扩大规模。
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引用次数: 0
Institutional governance and design principles on collective action for sustainable water management in Vietnam 越南可持续水资源管理集体行动的机构治理和设计原则
Q2 Environmental Science Pub Date : 2025-11-13 DOI: 10.1016/j.envc.2025.101370
Ong Quoc Cuong , Vu Duong Quynh , Bui Tan Yen , Bjoern Ole Sander , Trang Vu , Jennifer Barnard , Katherine M. Nelson
Rice production is firmly situated at the nexus between food security, water resources, and greenhouse gas emissions, contributing to climate change. Alternate wetting and drying (AWD) has been suggested as a climate-resilient irrigation practice in Vietnam’s Mekong Delta. This study investigates how irrigation governance affects AWD uptake by applying Elinor Ostrom’s design principles for collective action. Focus group discussions with local agricultural authorities and one-on-one surveys with irrigation service providers were conducted in An Giang Province. The results show that 51 % of the providers reported AWD adoption in the Winter-Spring and Summer-Autumn seasons. Irrigation governance follows a hierarchical structure with nested management levels, and cooperatives and collaborative groups show more substantial institutional capacities than individual providers. However, key governance functions, such as monitoring and sanctioning, remain weakly implemented. Applying Ostrom’s design principles to collective action can improve the adoption of AWD technology. The findings of this study can provide insight into the evolution of irrigation governance and what is needed to implement institutions (rules, regulations, and norms) that would foster collective benefits effectively. The results can be used to analyze other common resource systems or to study the institutional governance of irrigated rice systems in other locations.
水稻生产牢牢地处于粮食安全、水资源和温室气体排放之间的联系中,而温室气体排放会导致气候变化。干湿交替灌溉(AWD)已被建议作为越南湄公河三角洲的气候适应性灌溉实践。本研究通过应用埃莉诺·奥斯特罗姆的集体行动设计原则,探讨了灌溉治理如何影响AWD的吸收。在安江省与当地农业主管部门进行了焦点小组讨论,并与灌溉服务提供者进行了一对一调查。结果显示,51%的供应商报告在冬春季节和夏秋季节采用了AWD。灌溉治理遵循层次结构和嵌套的管理层次,合作社和协作团体比个人提供者表现出更大的机构能力。然而,关键的治理功能,如监督和制裁,仍然执行不力。将Ostrom的设计原则应用于集体行动可以提高AWD技术的采用率。本研究的结果可以深入了解灌溉治理的演变,以及实施有效促进集体利益的制度(规则、条例和规范)所需的条件。研究结果可用于分析其他共同资源系统或研究其他地区灌溉水稻系统的制度治理。
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引用次数: 0
Evaluating the sustainability of AnMBR for domestic greywater treatment in small islands 评价AnMBR用于小岛屿生活污水处理的可持续性
Q2 Environmental Science Pub Date : 2025-11-09 DOI: 10.1016/j.envc.2025.101369
Iga Maliga , Suryo Purwono , Rika Harini , Juliansyah Harahap , Tasliati Djafar
Greywater management on small, highly populated islands is becoming increasingly important due to environmental degradation and limited freshwater resources. The purpose of this study is to assess AnMBR technology's potential for sustainability as a greywater wastewater management solution on small islands. This research used a case study method with two major stages: the development of a laboratory-scale AnMBR design and a sustainability evaluation with 13 key informants chosen by snowball sampling and in-depth interviews. The Multi-Dimensional Scaling (MDS) RAPFISH technique was used to assess sustainability, with six essential dimensions considered as technical, environmental, economic, socio-cultural, public health, and institutional framework. Key findings of this research are (1) AnMBR technology is technically quite sustainable for treating household greywater on densely populated small islands; (2) the sustainability aspects of AnMBR are multidimensional and interrelated; (3) long-term sustainability depends on the capacity of local institutions, regulatory support, and the availability of resources for operation and maintenance; (4) social acceptance among the community is still limited but can be improved through a participatory approach, and (5) the development of AnMBR by-product utilization has the potential to be integrated with aspects of the circular economy. The implications of this research are that it has greater development potential, particularly in an industrial context, to lay the groundwork for building modular, low-power wastewater treatment technologies suitable to decentralized settings and small geographic areas. Future research should focus on pilot-scale implementation, cost-benefit analysis, and long-term performance monitoring in real-world conditions to validate the overall scalability and sustainability of AnMBR technology, resulting in an integrated wastewater management system that incorporates the circular economy concept for environmental sustainability on small islands.
由于环境退化和淡水资源有限,在人口密集的小岛屿上进行灰水管理变得越来越重要。本研究的目的是评估AnMBR技术作为小岛屿灰水废水管理解决方案的可持续性潜力。本研究采用个案研究方法,分为两个主要阶段:开发实验室规模的AnMBR设计,并通过滚雪球抽样和深度访谈选择13个关键信息者进行可持续性评估。多维尺度(MDS) RAPFISH技术用于评估可持续性,包括技术、环境、经济、社会文化、公共卫生和制度框架六个基本维度。本研究的主要发现是:(1)在人口密集的小岛屿上,AnMBR技术处理家庭生活污水在技术上具有相当的可持续性;(2)农业生物反应器的可持续性是多维的、相互关联的;(3)长期可持续性取决于当地机构的能力、监管支持以及运营和维护资源的可用性;(4)社区的社会接受度仍然有限,但可以通过参与式方法得到改善;(5)AnMBR副产品利用的发展具有与循环经济方面相结合的潜力。这项研究的含义是,它具有更大的发展潜力,特别是在工业背景下,为建立适合分散环境和小地理区域的模块化、低功耗废水处理技术奠定基础。未来的研究应侧重于试点规模的实施、成本效益分析和现实条件下的长期绩效监测,以验证AnMBR技术的整体可扩展性和可持续性,从而形成一个综合废水管理系统,该系统将循环经济概念纳入小岛屿环境可持续性。
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引用次数: 0
Sustainable management of urban groundwater in Lahore central business district: Trends, challenges, and economic implications 拉合尔中央商务区城市地下水的可持续管理:趋势、挑战和经济影响
Q2 Environmental Science Pub Date : 2025-11-07 DOI: 10.1016/j.envc.2025.101368
Usama Majed , Ghulam Nabi , Muhammad Rashid , Riaz Hussain , Saif Haider , Abu Bakar Arshed
This study assesses the groundwater status in Lahore's newly developed Central Business District, examining both shallow and deep groundwater supplies, and emphasizes the need for alternative water sources to preserve deep aquifers for future use. Data was collected from different authorities from 2003 to 2022 and analyzed using GIS software to map groundwater variations across Lahore. The study found consistent fluctuations in groundwater levels, with significant decreases in areas of Gulberg and Shadman. In 2003, Shadman had the lowest groundwater level at 34.74 m, while Gunj Kalan was 6.78 m. By 2022, Gunj Kalan's groundwater level had risen to 12.84 m, while those in Muslim Town and Shadman had dropped to 51.82 m. The average annual groundwater depletion was 1.13 m. The economic analysis highlighted the capital-intensive nature of conjunctive deep and shallow water supply systems but noted their lower operational and maintenance costs. Using deep aquifers for drinking water and shallow aquifers for other needs optimizes groundwater usage, potentially conserving over 90 % of deep aquifer volume. Increasing groundwater pumping by 18% could further deplete resources by 0.4 m per year, while an 18 % decrease could raise levels by 0.19 m per year. Conjunctive use of deep and shallow aquifers could save 21,854 m3 per day of deep aquifer water, presenting an efficient solution for managing groundwater depletion and promoting sustainable water resource practices.
本研究评估了拉合尔新开发的中央商务区的地下水状况,考察了浅层和深层地下水供应,并强调需要替代水源来保护深层含水层以供未来使用。从2003年到2022年,从不同的当局收集了数据,并使用GIS软件进行分析,绘制了拉合尔地下水的变化图。研究发现,地下水位持续波动,古尔伯格和沙德曼地区的地下水位显著下降。2003年沙德曼地下水位最低,为34.74 m,甘吉卡兰最低,为6.78 m。到2022年,甘吉卡兰的地下水位已经上升到12.84米,而穆斯林镇和沙德曼的地下水位已经下降到51.82米。年平均地下水耗水量为1.13 m。经济分析强调了深水和浅水连接供水系统的资本密集型性质,但也指出了其较低的运营和维护成本。利用深层蓄水层提供饮用水,利用浅层蓄水层满足其他需求,可以优化地下水的使用,潜在地节约了90%以上的深层蓄水层体积。增加18%的地下水采掘可能会每年进一步消耗0.4米的资源,而减少18%则可能每年增加0.19米的资源。深层和浅层含水层的联合利用可以每天节省21,854立方米的深层含水层水,为管理地下水枯竭和促进可持续水资源实践提供了有效的解决方案。
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Environmental Challenges
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