Effect of stormwater and land use on biogeochemical transformations of dissolved and particulate phosphorus in freshwater systems

IF 12.4 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research Pub Date : 2025-06-10 DOI:10.1016/j.watres.2025.124007

Sangar Khan , Yuting Wang , Paul. J Milham , Zongwei Lin , Xinxin Qi , Huimin Gao , Yuke Duan , Jiuli Shi , Collins Oduro , Habib Ullah , Kamel M. Eltohamy , Naicheng Wu

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Abstract

Climate change increases the frequency of storm events, which flush land pollutants, including phosphorus (P), into freshwater bodies; nonetheless, understanding the biogeochemical transformation of P in dissolved and particulate forms during storm events is still challenging. We collected surface water samples during storm and dry weather flow from five study sites along a pH gradient for measurement of P species, including: dissolved inorganic P (DIP) and organic P (DOP); colloidal organic and inorganic P (COP and CIP); and particulate organic and inorganic P (POP and PIP). In dry weather flow, DIP levels rise due to low concentrations of suspended particulate matter (SPM) (11–23 mg L^–1) and desorption from the particulate matter. In contrast, during stormwater flow, high SPM concentrations (25–65 mg L^–1) lead to the removal of DIP from the system through adsorption onto fine sediments. This inference is supported by the negative correlation between the P partitioning coefficient (K_d) and both SPM (r = -0.2) and pH (r = -0.4). Additionally, the correlation between benthic chlorophyll-a, DIP and PIP suggests that P uptake from different fractions influences the geochemical transformation of P during stormwater flow. This study shows that stormwater flow modifies the P species shift between the particulate and dissolved phases, with urban and agricultural land uses influencing tributaries and mainstreams more than forested areas. These findings emphasize the relevance of stormwater dynamics and land use in freshwater P control.

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雨水和土地利用对淡水系统中溶解磷和颗粒磷生物地球化学转化的影响

气候变化增加了风暴事件的频率，将包括磷在内的土地污染物冲进淡水水体；然而，了解溶解态和颗粒态磷在风暴期间的生物地球化学转化仍然具有挑战性。我们沿pH梯度从5个研究点采集了暴雨和干旱天气流的地表水样品，测量了P的种类，包括：溶解无机P （DIP）和有机P (DOP)；胶体有机磷和无机磷（COP和CIP）；颗粒有机和无机磷（POP和PIP）。在干燥天气流中，由于悬浮颗粒物（SPM）浓度低（11-23 mg L-1）和颗粒物的解吸，DIP水平上升。相比之下，在暴雨水流过程中，高浓度的SPM （25-65 mg L-1）通过吸附在细沉积物上，将DIP从系统中去除。P分配系数（Kd）与SPM （r = -0.2）和pH （r = -0.4）均呈负相关，支持了这一推断。此外，底栖生物叶绿素-a、DIP和PIP的相关性表明，不同组分对磷的吸收影响了暴雨过程中磷的地球化学转化。该研究表明，雨水流量改变了磷在颗粒相和溶解相之间的变化，城市和农业用地对支流和干流的影响大于森林地区。这些发现强调了雨水动力学和土地利用在淡水磷控制中的相关性。

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来源期刊

Water Research 环境科学-工程：环境

CiteScore

20.80

自引率

9.40%

发文量

1307

审稿时长

38 days

期刊介绍： Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.