Watershed Ecology and the Environment最新文献

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Five-year microbial and chemical assessment of the Blue Marsh Watershed in Reading, Pennsylvania 宾夕法尼亚州雷丁蓝沼泽流域五年微生物和化学评估

Watershed Ecology and the Environment

Pub Date : 2025-01-01 DOI: 10.1016/j.wsee.2025.03.003

Jill M. Felker, Zachary T. Weagly, Tami H. Mysliwiec

Recreational, agricultural, and industrial utilizations of areas surrounding waterways provide opportunities for collecting chemical and pollutant runoff, which influence the chemical makeup of the waterways and connecting watersheds. Human activities within watersheds can result in conditions that enable pathogenic microorganisms to thrive and allow unique microbial communities to emerge. The study area consisted of three locations at the Blue.

Marsh Watershed in Reading, Pennsylvania, with different surrounding land use and anthropogenic activities. The study areas were monitored monthly during the five-year project to assess seasonal variations in chemical levels and microbial count changes.

Chemical testing included inorganic nitrates, inorganic phosphates, and dissolved oxygen. Additional microbial testing included monthly counts for Escherichia coli and Enterococcus spp. to assess potential pathogenic microbial populations. On most occasions, chemical analyses found nitrate and phosphate concentrations above natural environmental levels.

During the five years, Escherichia coli and Enterococcus spp. concentrations were above the EPA recreational water recommendations 52% and 83% of the time, respectively. These results suggest that recreational, agricultural, and industrial utilization of surrounding waterways may influence chemical and microbial characteristics, including pathogenic microorganisms in the Blue Marsh Watershed.

水道周围地区的娱乐、农业和工业利用为收集化学和污染物径流提供了机会，这些径流影响了水道和连接流域的化学组成。流域内的人类活动可造成条件，使病原微生物得以茁壮成长，并使独特的微生物群落得以出现。研究区域包括Blue的三个地点。宾夕法尼亚州雷丁的沼泽流域，周围不同的土地利用和人为活动。在为期五年的项目中，每个月对研究区域进行监测，以评估化学水平和微生物数量变化的季节性变化。化学测试包括无机硝酸盐、无机磷酸盐和溶解氧。其他微生物检测包括每月大肠杆菌和肠球菌计数，以评估潜在的致病微生物种群。在大多数情况下，化学分析发现硝酸盐和磷酸盐的浓度高于自然环境水平。在5年的时间里，大肠杆菌和肠球菌浓度分别有52%和83%的时间高于EPA的娱乐用水建议值。这些结果表明，周边水道的娱乐、农业和工业利用可能会影响蓝沼泽流域的化学和微生物特征，包括病原微生物。

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引用次数: 0

Integrating artificial intelligence for sustainable waste management: Insights from machine learning and deep learning 将人工智能整合到可持续废物管理：来自机器学习和深度学习的见解

Watershed Ecology and the Environment

Pub Date : 2025-01-01 DOI: 10.1016/j.wsee.2025.07.001

Son V.T. Dao, Tuan M. Le, Hieu M. Tran, Hung V. Pham, Minh T. Vu, Tuan Chu

As global waste production grows, sustainable waste management (WM) has become an issue for modern societies. This paper explores the integration of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to improve waste management (WM) systems by enhancing automation, classification accuracy, operational efficiency, and real-time decision-making. Current trends and potential future directions are identified with bibliometric and scientometric analysis, which assess methodologies and data in the field. By automating processes such as waste classification, sorting, and transportation, AI-driven models have the potential to optimize operational efficiency and reduce environmental impact. A comprehensive review of recent AI research in WM is presented, with a focus on their effectiveness, scalability, and limitations. Moreover, in the proposed framework, the data augmentation approach has been utilized to improve the model’s performance by increasing the amount of samples. Furthermore, the MobileNetV3 DL model is employed for feature extraction. Besides, the feature selection method − Harris Hawk Optimization (HHO) is also utilized to choose the best subset of features and reduce the irrelevant features. Then these selected features are fed into Machine Learning algorithms such as Decision Tree (DT), Logistic Regression (LR), and Random Forest (RF). In summary, this review highlights key case studies and research insights, offering a roadmap for future developments in AI-driven WM solutions.

随着全球废物产量的增长，可持续废物管理（WM）已成为现代社会的一个问题。本文探讨了人工智能（AI），特别是机器学习（ML）和深度学习（DL）的集成，通过提高自动化，分类准确性，操作效率和实时决策来改进废物管理（WM）系统。目前的趋势和潜在的未来方向是通过文献计量学和科学计量学分析来确定的，这些分析评估了该领域的方法和数据。通过自动化废物分类、分类和运输等过程，人工智能驱动的模型有可能优化运营效率并减少对环境的影响。全面回顾了最近人工智能在WM领域的研究，重点是它们的有效性、可扩展性和局限性。此外，在提出的框架中，利用数据增强方法通过增加样本数量来提高模型的性能。在此基础上，采用MobileNetV3 DL模型进行特征提取。此外，还利用特征选择方法- Harris Hawk Optimization （HHO）来选择最优的特征子集，减少不相关的特征。然后将这些选择的特征输入到机器学习算法中，如决策树（DT）、逻辑回归（LR）和随机森林（RF）。总而言之，本综述强调了关键案例研究和研究见解，为人工智能驱动的WM解决方案的未来发展提供了路线图。

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引用次数: 0

Wetland bird utilisation of ephemerally flooded rice paddies in late winter snowmelt season in central Japan 日本中部冬末融雪季节短暂淹水稻田的湿地鸟类利用

Watershed Ecology and the Environment

Pub Date : 2025-01-01 DOI: 10.1016/j.wsee.2025.04.002

Masumi Hisano , Shota Deguchi , Keinosuke Sannoh , Ken Motomura , Da-Li Lin

This study highlights the importance of rice paddies in snow-rich regions of central Japan as habitat for wetland bird species during snow-melting late winter season. During the study period, we recorded seven wetland species, including waders, egrets, and waterfowls. The abundance and richness of these birds were not significantly associated with the patch size of rice paddies. However, bird abundance presented a marginally positive association with the coverage of open water bodies within the landscape, while species richness showed a marginal relationship with the distance to the nearest water body. Our findings suggest that snowmelt-created wetlands may provide functions as critical stopover sites for migratory birds along the East Asian-Australian Flyway, and that enhancing water features in agricultural landscapes may yield greater conservation benefits than simply modifying the patch size of agricultural wetlands.

本研究强调了日本中部富雪地区稻田在冬末融雪期间作为湿地鸟类栖息地的重要性。在研究期间，我们记录了涉禽、白鹭、水禽等7种湿地物种。这些鸟类的丰度和丰富度与稻田斑块大小无显著相关。然而，鸟类丰度与景观内开放水体的覆盖度呈边际正相关，而物种丰富度与最近水体的距离呈边际相关。我们的研究结果表明，融雪形成的湿地可能为东亚-澳大利亚迁徙路线上的候鸟提供了重要的中途停留点，并且增强农业景观中的水景可能比简单地改变农业湿地的斑块大小产生更大的保护效益。

引用次数: 0

Recent research trends in mangrove management systems (2014–2023) and predictions of future research; A bibliometric analysis 红树林管理系统的最新研究趋势（2014-2023年）及未来研究展望文献计量学分析

Watershed Ecology and the Environment

Pub Date : 2025-01-01 DOI: 10.1016/j.wsee.2025.04.003

Muh Ainun Beddu , Rijal Idrus , Farid Samawi , Aidil Zulhaq Paradiman , Islamuddin Jafar

This review of the scientific literature on mangrove management systems using bibliometric methods aimed to identify research trends, key topics, and collaboration between researchers. Data were collected from a one-time search of the Scopus database over the last ten-year period (2014– 2023). Bibliometric analysis was conducted using Microsoft Excel, OpenRefine, RStudio, Tableau, and VOSviewer to visualize keyword networks, publication trends, and research collaboration. The study showed a significant increase in publications related to mangrove management systems in the last decade. The most frequently discussed topics included global analysis, restoration, climate mitigation, ecosystem services, and blue carbon. The collaboration network showed extensive international cooperation, especially between researchers from Australia and Southeast Asia. The analysis revealed gaps in the coverage of key research areas in mangrove management systems, particularly in addressing long-term sustainability and effective stakeholder collaboration, such as the need for a multidisciplinary and collaborative approach involving various stakeholders, including local communities, governments, scientists, and sustainable management approaches.

本文使用文献计量学方法对红树林管理系统的科学文献进行了综述，旨在确定研究趋势、关键主题和研究人员之间的合作。数据收集自Scopus数据库在过去十年期间（2014 - 2023）的一次性搜索。使用Microsoft Excel、OpenRefine、RStudio、Tableau和VOSviewer进行文献计量分析，以可视化关键字网络、出版趋势和研究合作。该研究表明，在过去十年中，与红树林管理系统有关的出版物显著增加。讨论最多的主题包括全球分析、恢复、气候减缓、生态系统服务和蓝碳。合作网络显示了广泛的国际合作，特别是来自澳大利亚和东南亚的研究人员之间的合作。分析揭示了红树林管理系统中关键研究领域的覆盖范围存在差距，特别是在解决长期可持续性和有效的利益攸关方合作方面，例如需要一种涉及各利益攸关方（包括当地社区、政府、科学家）的多学科合作方法和可持续管理方法。

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引用次数: 0

Watershed Ecology and the Environment

Pub Date : 2025-01-01

引用次数: 0

Estimation of heavy metal contamination of sediments in the Ouaka River watershed in the Central African Republic 中非共和国瓦卡河流域沉积物重金属污染的估计

Watershed Ecology and the Environment

Pub Date : 2025-01-01 DOI: 10.1016/j.wsee.2025.03.002

André Jules Ouambeti-Wickon , Gabriel Ngueutchoua , Doria Grace Takenne , Prince Emilien Danguene , Armand Sylvain Ludovic Wouatong

The study, based on heavy metals such as cadmium (Cd), chromium (Cr), cobalt (Co), copper (Cu), nickel (Ni), lead (Pb), vanadium (V), zinc (Zn) and iron (Fe) in the sediments of the Ouaka river watershed, aimed to determine the concentration profiles of the various contaminated zones and to assess the sources of pollution of these sediments, which are of both human and natural origin. These profiles were established against a backdrop of heavy industrial activity (discharges from the Ngakobo sugar refinery and the Bambari cotton gear factory), agricultural activity (with the use of chemical fertilizers and pesticides) and mining activity (artisanal gold mining), all of which may be responsible for heavy metal contamination of the sediments in this watershed. A total of 34 sediment samples were collected and analyzed by inductively coupled plasma mass spectrometry. Results for heavy metal concentrations (mg/kg) ranged from 0.006 to 0.019 for Cd; 1.7 to 7.11 for Co; 11.5 to 30.8 for Cr; 2.3 to 7.4 for Cu; 2.7 to 13.4 Ni; 1.36 to 25.99 for Pb; 11 to 18 for V; 7.9 to 20 for Zn and 11356.2 to 17875.5 for Fe. These values are significantly lower in the sediments studied than the reference values used in the upper continental crust. To assess the degree of contamination in these sediments, the enrichment factor, contamination factor, geo-accumulation index and pollutant load index were calculated. The result is that, with the exception of Pb in sample B15, which is moderately enriched, the other heavy metals are only slightly enriched, and this is confirmed by the geo-accumulation index and pollutant load index, which show the absence of contamination and pollution in this catchment. The results of this work will enable the Central African Republic to control the intensive discharge of industrial and mining residues, and also to limit the use of chemical fertilizers in agriculture in favor of natural fertilizers.

该研究以瓦卡河流域沉积物中的镉（Cd）、铬（Cr）、钴（Co）、铜（Cu）、镍（Ni）、铅（Pb）、钒(V)、锌（Zn）和铁（Fe）等重金属为基础，旨在确定各污染区域的浓度分布，并评估这些沉积物的污染源，这些污染源既有人为来源，也有自然来源。这些概况是在重工业活动（Ngakobo糖厂和Bambari棉织厂的排放）、农业活动（使用化学肥料和杀虫剂）和采矿活动（手工采金）的背景下建立的，所有这些活动都可能造成该流域沉积物的重金属污染。采用电感耦合等离子体质谱法对34份沉积物样品进行了分析。镉的重金属浓度（mg/kg）范围为0.006 ~ 0.019；Co . 1.7 - 7.11；Cr为11.5 - 30.8；Cu为2.3 ~ 7.4；2.7 ~ 13.4 Ni；铅为1.36 ~ 25.99；V为11 - 18；Zn为7.9 ~ 20，Fe为11356.2 ~ 17875.5。在研究的沉积物中，这些值明显低于上大陆地壳中使用的参考值。为了评价沉积物的污染程度，计算了富集系数、污染系数、地积指数和污染物负荷指数。结果表明，除样品B15中Pb为中等富集外，其余重金属均为轻度富集，这一点得到了地积累指数和污染物负荷指数的证实，表明该流域不存在污染和污染。这项工作的结果将使中非共和国能够控制工业和采矿残留物的密集排放，并限制在农业中使用化学肥料，转而使用天然肥料。

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引用次数: 0

Eutrophication weakens interspecific relationships across trophic levels in an urban wetland 富营养化削弱了城市湿地在营养水平上的种间关系

Watershed Ecology and the Environment

Pub Date : 2025-01-01 DOI: 10.1016/j.wsee.2025.03.004

Yingshan Wei , He-Bo Peng , Linhui Qi , Yanpeng Cai , Qingyang Guo , Zhenchang Zhu

Eutrophication poses a major threat to the stability of global aquatic ecosystems, especially in urban wetlands highly influenced by human activities. It frequently alters species composition, which in turn affects the overall structure of ecosystems. However, how eutrophication impacts inter-species interactions across different trophic levels remains poorly understood. This study examines communities at varying nutrient status within the same urban wetland, including phytoplankton, zooplankton, and fish, while considering environmental factors such as dissolved oxygen, manganese (Mn), water depth, and the Trophic State Index (TSI). We assess how eutrophication influences species interactions across multiple trophic levels. Our results show that intra-trophic correlations were primarily driven by water depth, manganese, whereas inter-trophic correlations were predominantly governed by TSI. Specifically, inter-group correlations between different trophic levels decreased with raising TSI, while inter-species relationships within phytoplankton strengthened with increasing TSI. These findings provide crucial insights into the mechanisms underlying species coexistence in urban wetlands and highlight the need for targeted management strategies to maintain ecological stability in the face of eutrophication. Future research should explore temporal and spatial dynamics to better understand the complex responses of wetland ecosystems to nutrient fluctuations.

富营养化对全球水生生态系统的稳定性构成重大威胁，特别是在受人类活动高度影响的城市湿地。它经常改变物种组成，进而影响生态系统的整体结构。然而，富营养化如何影响不同营养水平的物种间相互作用仍然知之甚少。本研究考察了同一城市湿地内不同营养状况的群落，包括浮游植物、浮游动物和鱼类，同时考虑了溶解氧、锰（Mn）、水深和营养状态指数（TSI）等环境因素。我们评估富营养化如何影响跨多个营养水平的物种相互作用。结果表明，营养内相关性主要由水深和锰驱动，而营养间相关性主要由TSI控制。不同营养水平的群间相关性随着TSI的升高而降低，而浮游植物种间相关性随着TSI的升高而增强。这些发现为了解城市湿地物种共存的机制提供了重要的见解，并强调了在富营养化的情况下，需要有针对性的管理策略来维持生态稳定。未来的研究应进一步探索湿地生态系统对养分变化的时空动态，以更好地理解湿地生态系统对养分变化的复杂响应。

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引用次数: 0

Flash flood susceptibility assessment using geospatial technology-based morphometric analysis in Waya watershed, Volta River basin, Ghana 基于地理空间技术的加纳Volta河流域Waya流域山洪易感性评价

Watershed Ecology and the Environment

Pub Date : 2025-01-01 DOI: 10.1016/j.wsee.2025.02.002

Bismark Mensah-Brako , Francis Ampiaw , Richard Kotei , Philip Kyaku

The present study aims to assess the flash flood susceptibility of Waya watershed in the Lower Volta River Basin, Volta region, Ghana using geospatial technology-based morphometric analysis. Morphometric characteristics were determined using Advanced Spaceborne Thermal Emission and Reflection Radiometer DEM (30 m) in a GIS 10.7 environment. The morphometric ranking method was applied to prioritize sub-watersheds' susceptibility to flash floods. The results revealed that the watershed is a seventh-order drainage system with a dendritic drainage pattern. The mean bifurcation ratio (4.48), and form factor (0.20) are indicative of higher levels of surface runoff and high flash flood events. The stream frequency (3.27–4.14 km²), drainage density (2.24–2.51 km/km²), and infiltration number (8.05–10.22 km³) showed higher runoff and flash floods. Watershed relief (553 m), relative relief (194.4), ruggedness number (1.36), and mean slope (10.31 %) are indicative of flash flood susceptibility. The results further showed that seven sub-watersheds (SW1, SW5, WS6, SW8, SW9, SW10 and SW12) constituted 63.00 % of watershed ranked as high to very high susceptibility to flash flood, while two sub-watersheds (SW 2 and WS 7) 12.20 % of the watershed classified under moderate flood susceptibility zone for which specific sub-watersheds flood risk reduction strategies are required to mitigate the hazard of flash flood. Four sub-watersheds (SW3, SW4, SW11, and SW13) represented 24.80 % of the watershed ranked as low susceptibility to flash floods. The study recommends the construction of retention bunds and embankments in the inland valleys and wetlands as sustainable soil and water conservation measures to mitigate flash floods and promote sustainable inland valleys and wetlands rice production.

本研究旨在利用基于地理空间技术的形态计量学分析，评估加纳Volta地区下Volta河流域Waya流域的山洪易感性。在GIS 10.7环境下，使用先进的星载热发射和反射辐射计DEM （30 m）确定形态测量特征。采用形态计量排序法对流域山洪易感性进行排序。结果表明，该流域属7级水系，属树突状水系。平均分叉比（4.48）和形状因子（0.20）表明地表径流水平较高，山洪事件频发。径流频次（3.27 ~ 4.14 km2）、排水密度（2.24 ~ 2.51 km/km2）和入渗数（8.05 ~ 10.22 km3）均表现出较高的径流和山洪强度。流域起伏度（553 m）、相对起伏度（194.4 m）、崎岖度（1.36 m）和平均坡度（10.31%）是山洪易感性的标志。结果进一步表明，7个流域（SW1、SW5、WS6、SW8、SW9、SW10和SW12）占山洪易感性高至极高流域的63.00%，而2个流域（sw2和ws7）占中度易感性流域的12.20%，需要采取特定的流域洪水风险降低策略来减轻山洪的危害。4个子流域（SW3、SW4、SW11和SW13）占山洪易感性低的流域的24.80%。该研究建议在内陆山谷和湿地建设涵养带和堤防，作为可持续的水土保持措施，以减轻山洪暴发，促进内陆山谷和湿地的可持续水稻生产。

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Watershed Ecology and the Environment

Pub Date : 2025-01-01

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Watershed Ecology and the Environment

Pub Date : 2025-01-01

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