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运用多元统计技术分析热带跨界西奥马拉巴马拉基西河流水质特征的时空分布

The spatiotemporal distribution of water quality characteristics of the tropical, transboundary Sio Malaba Malakisi River Basin using multivariate statistical techniques.

作者信息

Mwanake Hope, Feigl Moritz, Mehdi-Schulz Bano, Kitaka Nzula, Schulz Karsten, Olang Luke O, Lederer Jakob, Herrnegger Mathew

机构信息

Department of Landscape, Water and Infrastructure, Institute of Hydrology and Water Management, BOKU University, Muthgasse 18, 1190, Vienna, Austria.

Baseflow AI Solutions GmbH, Burggasse 58/12A, 1070, Vienna, Austria.

出版信息

Environ Monit Assess. 2025 Jul 5;197(8):865. doi: 10.1007/s10661-025-14282-1.

Abstract

Surface water pollution driven by land use practices and soil erosion remains a persistent challenge in tropical river basins of East Africa. Despite its socio-economic importance, the transboundary Sio Malaba Malakisi River Basin (SMMRB), shared by Kenya and Uganda, lacks comprehensive data on spatial and seasonal water quality dynamics. This study provides the first year-long baseline assessment of surface water quality in the SMMRB, using water samples collected from 12 monitoring sites across three distinct hydrological seasons: dry, short rainy, and long rainy. Twelve physicochemical parameters were analyzed following standardized protocols from the American Public Health Association (APHA), resulting in 854 data points. Multivariate statistical techniques: agglomerative hierarchical clustering, Wilk's lambda analysis, and exploratory factor analysis (EFA), were used to identify patterns and key drivers of water quality variation. Three distinct spatial clusters, corresponding to the Sio, Malaba, and Malakisi sub-catchments, were identified, each exhibiting unique water quality profiles. Elevated concentrations of total phosphorus (TP), soluble reactive phosphorus (SRP), and total suspended solids (TSS) were observed, exceeding typical background levels for unpolluted rivers. Seasonal differences highlighted the role of sediment transport and dilution processes, particularly during the rainy seasons. These findings provide novel insights into nutrient transport and hydrogeomorphological influences in a tropical, data-scarce, transboundary basin. The results offer a scientific basis for setting up targeted monitoring stations and adaptive water management strategies. Future studies should assess long-term interactions between sediment and nutrients. Evaluating the effectiveness of soil and water conservation practices will also be important for improving water quality.

摘要

由土地利用方式和土壤侵蚀导致的地表水污染,仍然是东非热带流域面临的一个长期挑战。尽管具有社会经济重要性,但肯尼亚和乌干达共享的跨界西奥-马拉巴-马拉基西河流域(SMMRB)缺乏关于空间和季节水质动态的全面数据。本研究对SMMRB的地表水质量进行了为期一年的基线评估,使用了在三个不同水文季节(旱季、短雨季和长雨季)从12个监测点采集的水样。按照美国公共卫生协会(APHA)的标准化方案,分析了12个理化参数,得到了854个数据点。采用多元统计技术:凝聚层次聚类、威尔克斯lambda分析和探索性因子分析(EFA),来识别水质变化的模式和关键驱动因素。确定了三个不同的空间聚类,分别对应西奥、马拉巴和马拉基西子流域,每个聚类都呈现出独特的水质特征。观察到总磷(TP)、可溶性活性磷(SRP)和总悬浮固体(TSS)浓度升高,超过了未受污染河流的典型背景水平。季节差异突出了泥沙输移和稀释过程的作用,特别是在雨季。这些发现为热带、数据稀缺的跨界流域中的养分输移和水文地貌影响提供了新的见解。研究结果为建立有针对性的监测站和适应性水资源管理策略提供了科学依据。未来的研究应评估泥沙与养分之间的长期相互作用。评估水土保持措施的有效性对于改善水质也将至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ec2/12228591/b6f5d71859f6/10661_2025_14282_Fig1_HTML.jpg

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