浅层地下水位波动:加速农田土壤中磷迁移转化的驱动力

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-05-01 Epub Date: 2025-01-27 DOI:10.1016/j.watres.2025.123209
Qingfei Chen , Heng Yang , Rongyang Cui , Wanli Hu , Chi Wang , Anqiang Chen , Dan Zhang
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引用次数: 0

摘要

集约化农田土壤剖面中磷的积累及径流淋失引起的磷损失受到广泛关注。然而,季节性变化驱动的浅层地下水位(SGT)波动导致的土壤磷流失往往被忽视,土壤磷的迁移转化机制尚不清楚。在长期监测洱海周边农田土壤磷积累和SGT波动的基础上,通过260 d的微观实验,探讨了SGT波动驱动土壤磷流失的特征及其机制。结果表明,SGT的波动显著改变了土壤剖面中P的含量和形态。土壤磷主要以溶解态流失,以无机磷为主,占75%。与连续饱和条件下相比,SGT波动期间土壤总磷(TP)释放量显著增加9.5%,土壤TP库存量显著减少2%。SGT波动增加了土壤剖面微生物网络的复杂性,刺激了土壤磷循环功能基因的表达,促进了土壤有机磷矿化。SGT波动导致农田土壤全磷损失量增加至88.5 kg/ha,分别是淋滤和径流的70和25倍。这些结果表明,SGT波动加速了农田土壤剖面P的流失。因此,应综合采取减少外部磷输入、提高表层土壤储磷能力和土壤磷利用效率、减少表层磷向深层土壤淋溶、减少深层土壤剖面磷积累等措施,防止其流失。
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Shallow groundwater table fluctuations: A driving force for accelerating the migration and transformation of phosphorus in cropland soil
The accumulation of phosphorus (P) in soil profiles of intensive cropland and the losses caused by runoff and leaching have been widely concerned. However, the loss of soil P due to shallow groundwater table (SGT) fluctuations driven by seasonal changes is often neglected, and the migration and transformation mechanisms of soil P are still unclear. On the basis of the long-term monitoring of cropland soil P accumulation and SGT fluctuations around Erhai Lake, the characteristics of soil P loss driven by SGT fluctuations and the corresponding mechanisms were investigated through a 260-day microcosm experiment. The results revealed that the fluctuations in SGT significantly changed the content and form of P in the soil profile. The soil P loss mainly occurred in dissolved form, mainly involving inorganic P, accounting for 75 %. Compared with those under continuous saturated conditions, soil total P (TP) release during SGT fluctuations significantly increased by 9.5 %, and soil TP storage was reduced by 2 %. SGT fluctuations increased the complexity of microbial networks in the soil profile, stimulated the expression of functional genes for soil P cycling, and promoted soil organic P mineralization. The SGT fluctuations caused an increase in the soil TP loss from cropland to 88.5 kg/ha, which was 70 and 25 times greater than that via leaching and runoff, respectively. These results indicated that SGT fluctuations accelerated the P loss from soil profile of cropland. Therefore, some measures should be comprehensively applied to prevent its loss, such as reducing external P input, improving surface soil P storage capacity and soil P utilization efficiency, reducing surface P leaching into deep soil, and reducing P accumulation in deep soil profiles.
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来源期刊
Water Research
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.
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