Ecohydrology & Hydrobiology最新文献_第10页

Interpretable ensemble learning for modeling phosphorus dynamics and mitigating eutrophication in riverine ecosystems 河流生态系统磷动态建模和富营养化缓解的可解释集成学习

IF 2.2 4区环境科学与生态学 Q2 ECOLOGY

Ecohydrology & Hydrobiology

Pub Date : 2025-12-01 DOI: 10.1016/j.ecohyd.2025.100697

Marwan Kheimi , Mohammad Zounemat-Kermani

Eutrophication, which is the existence of excessive nutrient loads, is a process that can endanger hydro-ecosystems like rivers. As two of the most effective water quality parameters, this study applies six advanced interpretable boosting machine learning (ML) models (AdaBoost, GBM, XGBoost, LightGBM, HistGBM, & CatBoost) to predict Total Phosphorus (TP) and OrthoPhosphate (OP) concentrations and also to assess the best boosting model in terms of accuracy, tendency, and computational cost. To build the boosting models, 12 water quantity (e.g., river discharge and sediment transport) along with water quality parameters (e.g., turbidity, dissolved oxygen, TKN, and nutrient concentrations) were examined to understand phosphorus dynamics. Preliminary outcomes of the study show that TP and OP values are negatively correlated with DO and pH values, while TKN has the greatest positive influence on them. Model interpretability analysis using local interpretable model-agnostic explanations (LIME) revealed that ammonia and nitrogen affect phosphorus levels differently depending on background nutrient conditions. At low TP and OP levels, these nutrients had a negative impact, whereas at higher phosphorus concentrations, they contributed positively to eutrophication. Also, the Shapley Additive Explanations (SHAP) analysis, as a global model interpretability method, highlights the impact of nitrate and ammonia (as chemical variables) and discharge (as a hydrological parameter) on the eutrophication process. The XGBoost achieved the highest predictive performance, GBM was the optimal model in terms of showing the least bias error, and LightGBM was the most effective model in terms of efficient computation.

富营养化是指过量营养负荷的存在，是一个可能危及河流等水文生态系统的过程。作为两个最有效的水质参数，本研究应用了六个先进的可解释增强机器学习（ML）模型（AdaBoost， GBM, XGBoost, LightGBM, HistGBM, CatBoost）来预测总磷（TP）和正磷酸盐（OP）浓度，并在准确性，趋势和计算成本方面评估最佳增强模型。为了建立提升模型，研究了12个水量（如河流流量和泥沙输送）以及水质参数（如浊度、溶解氧、TKN和营养物浓度），以了解磷的动态。初步研究结果表明，TP和OP值与DO和pH值呈负相关，而TKN对它们的正向影响最大。利用局部可解释模型不可知论解释（LIME）的模型可解释性分析表明，氨氮对磷水平的影响随背景养分条件的不同而不同。在TP和OP水平较低时，这些营养物对富营养化有负面影响，而在磷浓度较高时，它们对富营养化有积极作用。Shapley加性解释（SHAP）分析作为一种全球模型可解释性方法，突出了硝酸盐和氨（作为化学变量）以及流量（作为水文参数）对富营养化过程的影响。XGBoost模型的预测性能最高，GBM模型的偏差最小，LightGBM模型的计算效率最高。

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引用次数: 0

Potential use of wood addition for restoring ecosystem metabolism and nutrient uptake in a subtropical river 添加木材对恢复亚热带河流生态系统代谢和养分吸收的潜在作用

IF 2.2 4区环境科学与生态学 Q2 ECOLOGY

Ecohydrology & Hydrobiology

Pub Date : 2025-12-01 DOI: 10.1016/j.ecohyd.2025.100665

João Miguel Merces Bega , Wesley Aparecido Saltarelli , Tatiana Heid Furley , Paula Caroline dos Reis Oliveira , Davi Gasparini Fernandes Cunha

Riparian zones naturally supply coarse particulate organic matter to watercourses. However, deforestation has reduced the input of woody material to these environments, altering ecosystem processes. River restoration projects can help mitigate these losses by adding wood, which is expected to enhance nutrient cycling and ecosystem metabolism. Wood additions increase hydraulic and biochemical heterogeneity, enhance hyporheic exchange, and improve connectivity from local – site-specific areas – to river network scales. Despite these benefits, studies on the effects of wood additions on aquatic metabolism and nutrient uptake remain scarce, particularly in subtropical region. Here, we examined how adding wooden logs and tree branches to a subtropical river reach influences whole-reach metabolism and soluble reactive phosphorus (SRP) uptake. Three distinct reaches were studied: a reference reach with well-preserved riparian vegetation and minimal human impact, an impacted reach affected by erosion sediment deposition, fragmented vegetation, and livestock access, and a restored reach, which faced similar disturbances but underwent structural restoration interventions. Wood additions increased habitat heterogeneity, providing surfaces for biofilm colonization and potentially benefiting other aquatic organisms. Biofilm development, in turn, enhanced nutrient uptake and gross primary production (GPP). Notably, GPP was greater in the restored reach than in the reference one, likely due to high light availability from the more open canopy. We advocate for integrating wood additions with riparian forest restoration to maximize ecological benefits for rivers impacted by agriculture.

河岸带自然地为水道提供粗颗粒有机物质。然而，森林砍伐减少了这些环境中木质材料的输入，改变了生态系统过程。河流恢复项目可以通过增加木材来帮助减轻这些损失，这有望促进营养循环和生态系统代谢。木材的添加增加了水力和生物化学的异质性，增强了潜流交换，并改善了从当地特定地点到河流网络尺度的连通性。尽管有这些好处，但关于木材添加对水生代谢和营养吸收影响的研究仍然很少，特别是在亚热带地区。在这里，我们研究了向亚热带河流河段添加原木和树枝对河段全代谢和可溶性活性磷（SRP）吸收的影响。研究了三个不同的河段：河岸植被保存完好且人类影响最小的参考河段，受侵蚀泥沙沉积、植被破碎化和牲畜通道影响的影响河段，以及面临类似干扰但进行了结构恢复干预的恢复河段。木材的添加增加了栖息地的异质性，为生物膜定植提供了表面，并可能有益于其他水生生物。生物膜的发育反过来又增加了养分吸收和总初级产量（GPP）。值得注意的是，恢复河段的GPP高于参考河段，这可能是由于更开放的冠层提供了更高的光利用率。我们提倡将木材添加与河岸森林恢复相结合，以最大限度地提高受农业影响的河流的生态效益。

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引用次数: 0

Effect of algicidal bacteria on photosynthesis and stress mechanisms of Planktothrix agardhii: A first case study 杀藻细菌对浮藻丝光合作用的影响及胁迫机制的初步研究

IF 2.2 4区环境科学与生态学 Q2 ECOLOGY

Ecohydrology & Hydrobiology

Pub Date : 2025-12-01 DOI: 10.1016/j.ecohyd.2025.100690

M. Kluska , A. Font-Nájera , J. Morón-López , J. Mankiewicz-Boczek

Cyanobacterial blooms are a growing global problem; therefore, it is necessary to seek natural solutions to help maintain the good quality of freshwater resources. One of the important aspects in these approaches is understanding the relations between microorganisms. This study investigated the potential of three algicidal bacterial strains: Bacillus pumilus SU8S0818, Morganella morganii SU7S0818 and Exiguobacterium acetylicum SU5S1020, to the growth and functioning of two cyanobacterial strains of Plankothrix agardhii: 1) NIVA CYA 126, an axenic strain from a culture collection (Pa NIVA), and 2) a non-axenic environmental strain (Pa LU) isolated from Lubosinskie Lake (Poland). The results indicated that Bacillus and Morganella showed the strongest algicidal ratio against both axenic (87.2 % and 92.4 %, respectively) and environmental (96.3 % and 99.1 %, respectively) strains, after six days of co-culture. In contrast, Exiguobacterium showed lower algicidal effects (maximum 38.8 %). This suggested that Bacillus and Morganella can be considered as promising candidates for the control of blooms dominated by Planktothrix. Strong algicidal activity was associated with the increase of reactive oxygen species (ROS) in cyanobacterial cells and disturbances in the expression of genes related to photosynthetic system (rbcLX and psbA) and stress conditions (sodB and recA). Notably, filament fragmentation was observed as a stress response, likely triggered by ROS accumulation. The Pa LU strain was more sensitive showing higher ROS and greater inhibition in the expression of analyzed genes. This was attributed to the non-axenic nature of Pa LU, where other associated microorganisms may enhance the algicidal effect of studied bacterial strains.

蓝藻繁殖是一个日益严重的全球性问题；因此，有必要寻求自然的解决办法，以帮助保持淡水资源的良好质量。这些方法的一个重要方面是了解微生物之间的关系。本研究研究了三种灭藻菌株：杆状芽孢杆菌SU8S0818、莫organella morganii SU7S0818和Exiguobacterium acetylicum SU5S1020对两种蓝藻菌株：1)培养收集的无菌菌株NIVA CYA 126 （Pa NIVA）和2)分离自Lubosinskie湖（波兰）的非无菌环境菌株Pa LU的生长和功能的影响。结果表明，在共培养6 d后，芽孢杆菌和摩根菌对无菌菌株（分别为87.2%和92.4%）和环境菌株（分别为96.3%和99.1%）的杀藻率均最强。相比之下，Exiguobacterium的杀藻效果较低（最大为38.8%）。这表明芽孢杆菌和摩根菌可以被认为是控制浮游thrix为主的花的有希望的候选者。较强的杀藻活性与蓝藻细胞活性氧（ROS）的增加、光合系统相关基因（rbcLX和psbA）和胁迫条件相关基因（sodB和recA）的表达紊乱有关。值得注意的是，观察到纤维断裂是一种应激反应，可能是由ROS积累引发的。Pa LU菌株表现出较高的ROS和对所分析基因表达的抑制作用。这归因于Pa LU的非无菌性质，其中其他相关微生物可能增强所研究菌株的杀藻效果。

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引用次数: 0

The impact of hydrological regime changes induced by run-of-river hydroelectric stations on fish spawning 顺流水电站引起的水文情势变化对鱼类产卵的影响

IF 2.2 4区环境科学与生态学 Q2 ECOLOGY

Ecohydrology & Hydrobiology

Pub Date : 2025-12-01 DOI: 10.1016/j.ecohyd.2025.100688

Jing Zhang , Wu Sha Ji Pi , Zi Jing Chen , Shi-Tao Peng , Bing Xing , Tao Lan , Er Di A Bi

With the rapid expansion of run-of-river hydropower in China, reduced flows in affected river segments have raised concerns about the suitability of fish spawning habitats. This study assessed the impact of the Kehe Hydropower Station on the spawning habitat of Schizothorax spp. using hydrological analogy, conventional hydrological analysis, and integrated methods at six cross-sections along the reduced-flow segment downstream of the diversion. Key findings include: (1) during the dry season (February–May), when turbines are inactive, the dam does not alter hydrological conditions due to its lack of storage capacity. However, during peak operation in September and October, the flow is reduced by up to 21.36 m³/s, accounting for 27.89 %–62.21 % of the monthly average. (2) Flow velocities during the main spawning period (September–October) range from 1.34 to 2.44 m/s. October velocities mostly fall outside the optimal spawning range (1.5–2.5 m/s), while September remains largely suitable. (3) Water depths in September range from 0.78 to 2.58 m, with Sections 2, 5, and 6 showing the greatest reductions (>0.24 m). (4) The suitable spawning area per meter of river length declines from 10.86 to 39.50 m² to 5.48–26.62 m² after dam operation. Sections with U-shaped profiles and higher roughness substrates (e.g., pebbles and cobbles) provide more favorable spawning conditions than V-shaped sections. These findings highlight the need to consider ecohydraulic variability in hydropower planning and operation to mitigate impacts on fish reproduction.

随着中国河流水力发电的迅速扩张，受影响河段的流量减少引起了人们对鱼类产卵栖息地适宜性的担忧。采用水文类比法、常规水文分析法和综合方法，对科河水电站引水下游减流段6个断面进行了对裂腹鱼产卵生境的影响评价。主要发现包括：(1)在旱季（2月至5月），当涡轮机不活动时，大坝由于缺乏储存能力而不会改变水文条件。但在9、10月份的运行高峰期，流量减少幅度高达21.36 m³/s，占月平均流量的27.89% - 62.21%。(2)主要产卵期（9 ~ 10月）的流速为1.34 ~ 2.44 m/s。10月的速度大多落在最佳产卵范围（1.5-2.5米/秒）之外，而9月的速度基本合适。(3) 9月水深为0.78 ~ 2.58 m，其中第2、5、6段减少幅度最大，为0.24 m。(4)大坝运行后每米河道适宜产卵面积从10.86 ~ 39.50 m²下降到5.48 ~ 26.62 m²。u型断面和粗糙度较高的基材（如鹅卵石和鹅卵石）比v型断面提供更有利的产卵条件。这些发现强调了在水电规划和运营中考虑生态水力变异性以减轻对鱼类繁殖的影响的必要性。

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引用次数: 0

Effects of the South-to-North water diversion project (China) on phytoplankton community and water ecology of Dongping Lake 南水北调工程对东平湖浮游植物群落和水生态的影响

IF 2.2 4区环境科学与生态学 Q2 ECOLOGY

Ecohydrology & Hydrobiology

Pub Date : 2025-12-01 DOI: 10.1016/j.ecohyd.2025.100703

Zhanfei Zhang , Zhaoshi Wu , Yinghao Zhang , Wenjuan Yuan , Xiao Zhang

The South-to-North Water Diversion Project (SNWDP) is a large-scale, multi-decades infrastructure designed to alleviate water scarcity in northern China. Taking Dongping Lake as a case study, this study evaluated the effects of the eastern route of the SNWDP (SNWDP-ER) on water quality, phytoplankton community structures, and ecological conditions in lakes and reservoirs along the pathway. Based on 30 sampling sites per season from 2020 to 2022, the study demonstrated that water transferred via SNWDP-ER improved lake water quality both seasonally and interannually, owing to elevated water exchange rates and superior incoming water standards. The implementation of the SNWDP-ER also affected phytoplankton community composition and the Q index (an ecological health indicator based on phytoplankton functional groups) by modifying water quality and hydrodynamics. As the project reduced the trophic status of Dongping Lake, the dominant phytoplankton functional groups shifted from X1, C, P, MP, and M during water transfer period to C, J, D, S1, T, P, and X1 in non-transfer period. Higher Q index values during water transfer period indicated better ecological conditions compared to non-transfer periods. Over the long-term (1980 - 2022), the SNWDP-ER contributed to a reduction in phytoplankton biomass and facilitated a transition in functional groups from those adapted to eutrophic, stratified waters toward assemblages suited to well-mixed, cleaner aquatic environments.

南水北调工程（SNWDP）是一个大规模的、长达数十年的基础设施，旨在缓解中国北方的水资源短缺。以东平湖为例，评价了北水北调东线工程（SNWDP- er）对东线沿线湖泊和水库水质、浮游植物群落结构和生态条件的影响。基于2020 - 2022年每个季节30个采样点的研究表明，由于水交换率的提高和来水标准的提高，通过SNWDP-ER调水的水在季节和年际上都改善了湖泊水质。实施SNWDP-ER还通过改变水质和水动力影响了浮游植物群落组成和Q指数（基于浮游植物功能群的生态健康指标）。随着工程对东平湖营养状况的降低，优势浮游植物功能群由调水期的X1、C、P、MP、M向非调水期的C、J、D、S1、T、P、X1转变。调水期Q值越高，说明生态条件较非调水期好。从长期来看（1980 - 2022年），SNWDP-ER促进了浮游植物生物量的减少，并促进了功能群从适应富营养化、分层水域的功能群向适合混合良好、更清洁的水生环境的功能群的过渡。

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引用次数: 0

Determining environmental water requirement in Alagol international wetland using ecological approach 用生态学方法确定阿拉戈尔国际湿地的环境需水量

IF 2.2 4区环境科学与生态学 Q2 ECOLOGY

Ecohydrology & Hydrobiology

Pub Date : 2025-12-01 DOI: 10.1016/j.ecohyd.2025.100691

Mehdi Vafakhah , Mostafa Zabihi Silabi , Jaber Aazami , Mohammad Sadegh Alavi-Yeganeh , Arezoo Ashrafizadeh , Sedigheh Modarresi Tabatabaei

The primary solution for mitigating wetland degradation lies in determining the Environmental Water Requirements (EWR). This research aims to ascertain the EWR of Iran's Alagol International Wetland. Employing an ecological approach, the study assessed the wetland's EWR by considering water balance, hydrological conditions, and indicator species of plants and animals. Results revealed that the most substantial water balance deficit pertains to the temporary and permanent bed methods, while the least deficit is associated with plant and animal species. For optimal EWR, an average annual discharge of 1.43, 1.53, 1.43, 2.53, and 2.70 m³/s is necessary to support Common carp, Common reed, White-headed duck, and permanent and temporary beds, respectively. Fulfilling the EWR for specific species like common carp, common reed, and white-headed duck would result in around 18 million cubic meters (MCM) of water being lost through evaporation. Additionally, evaporation volumes for the temporary and permanent beds were estimated at about 35 MCM and 37 MCM, respectively. The water balance deficit was calculated based on rainfall, actual evaporation, and groundwater recharge. Subsequently, the required water volume in the investigated methods was determined considering the wetland's volume and water balance deficit, totaling 45.07, 48.36, 45.07, 79.69, and 85.09 MCM for common carp, common reed, white-headed duck, temporary bed, and permanent bed methods, respectively. Ultimately, employing the temporary and permanent bed methods proved most effective in determining the EWR, indicating that Alagol Wetland necessitates 85.09 MCM of water to sustain its ecological functions.

缓解湿地退化的主要解决方案是确定环境需水量（EWR）。本研究旨在确定伊朗阿拉戈尔国际湿地的EWR。本研究采用生态学方法，综合考虑水平衡、水文条件、动植物指示物种等因素，对湿地的EWR进行了评价。结果表明，临时床和永久床的水分平衡赤字最大，植物和动物的水分平衡赤字最小。为了达到最佳EWR，鲤鱼、芦苇、白头鸭、永久床和临时床的年平均流量分别为1.43、1.53、1.43、2.53和2.70 m³/s。对鲤鱼、芦苇和白头鸭等特定物种实施EWR将导致大约1800万立方米的水通过蒸发而损失。此外，临时床和永久床的蒸发量估计分别约为35 MCM和37 MCM。水量平衡亏缺是根据降雨量、实际蒸发和地下水补给来计算的。随后，考虑湿地的体积和水平衡赤字，确定了所调查方法所需的水量，鲤鱼、芦苇、白头鸭、临时床和永久床的水量分别为45.07、48.36、45.07、79.69和85.09 MCM。最终，采用临时床层法和永久床层法确定EWR最有效，表明Alagol湿地需要85.09 MCM的水量才能维持其生态功能。

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引用次数: 0

Following the Footsteps of macrophytes: Potential application of isotope signals in pollution monitoring: A case study of northern Polish rivers 跟随大型植物的脚步：同位素信号在污染监测中的潜在应用：波兰北部河流的案例研究

IF 2.2 4区环境科学与生态学 Q2 ECOLOGY

Ecohydrology & Hydrobiology

Pub Date : 2025-12-01 DOI: 10.1016/j.ecohyd.2025.100650

Eugeniusz Pronin , Zofia Wrosz , Krzysztof Banaś , Marek Merdalski

This study investigates the potential use of stable carbon (δ¹³C) and nitrogen (δ¹⁵N) isotopic signatures in aquatic macrophytes for nutrient pollution monitoring in river ecosystems. The research conducted across rivers in northern Poland focused on how various environmental variables, including land use types within catchment areas, influence isotopic values in macrophytes. The macrophytes under study included Elodea canadensis, Potamogeton crispus, Potamogeton perfoliatus, and Stuckenia pectinata, sampled from 46 research sites covering 15 watercourses in northern Poland with diverse catchment characteristics, i.e., agricultural, forested, and urban areas. Significant differences in δ¹³C were observed among species, with P. crispus exhibiting the lowest median value (−28.83 ‰) and P. perfoliatus the highest (−24.10 ‰). δ¹⁵N median values were highest in S. pectinata (+9.25 ‰) and lowest in E. canadensis (+4.77 ‰). Variations in both isotopic signatures were also observed across land use types, with urban areas showing lower δ¹³C (−31.92 ‰) and higher δ¹⁵N (+10.62 ‰) median values. The differences observed in the δ¹³C and δ¹⁵N isotopic signatures across these macrophytes imply that their isotopic composition is influenced by factors related to human activities, particularly land use and potential waste discharge which was highlighted by the PCA results. In urban areas, δ¹³C values were low, indicating higher carbon levels from human sources. δ¹⁵N values, however, suggested significant influence from agricultural and sewage inputs, particularly in urban and agricultural catchments. These findings show that stable isotopic analysis of macrophytes can help assess river ecosystem health and support integrated management strategies to improve water quality.

本研究探讨了水生植物稳定碳（δ13C）和氮（δ15N）同位素特征在河流生态系统养分污染监测中的潜在应用。在波兰北部的河流上进行的研究侧重于各种环境变量，包括集水区的土地利用类型，如何影响大型植物的同位素值。所研究的大型植物包括Elodea canadensis， Potamogeton crispus， Potamogeton perfoliatus和Stuckenia pectinata，样本来自波兰北部15条水道的46个研究地点，具有不同的流域特征，即农业，森林和城市地区。不同树种间δ13C值差异显著，中位数为- 28.83‰，最小的是crispus，最大的是perfoliatus（- 24.10‰）。δ15N中位数最高的是pectinata（+9.25‰），最低的是canadensis（+4.77‰）。两种同位素特征在不同土地利用类型中也存在差异，城市地区δ13C中值较低（- 31.92‰），δ15N中值较高（+10.62‰）。这些大型植物的δ13C和δ15N同位素特征的差异表明，它们的同位素组成受到人类活动的影响，特别是土地利用和潜在的废物排放，这一点在PCA结果中得到了强调。城市地区δ13C值较低，表明人类碳源水平较高。然而，δ15N值表明农业和污水投入的显著影响，特别是在城市和农业集水区。这些结果表明，植物稳定同位素分析有助于评估河流生态系统的健康状况，并为改善水质的综合管理策略提供支持。

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引用次数: 0

Quantifying nitrogen loss responses to seasonal deluges and droughts: A modeling study in a subtropical agro-forest catchment, upper Yangtze River 长江上游亚热带农林业集水区氮素损失对季节性旱涝的量化响应

IF 2.2 4区环境科学与生态学 Q2 ECOLOGY

Ecohydrology & Hydrobiology

Pub Date : 2025-12-01 DOI: 10.1016/j.ecohyd.2025.100706

Wei Zhang , Xunhua Zheng , Siqi Li , Chunyan Liu , Zhisheng Yao , Shenghui Han , Rui Wang , Kai Wang , Bo Zhu , Minghua Zhou , Xiao Chen , Yong Li

Climate change has intensified seasonal deluges and droughts, yet their impacts on soil nitrogen losses in complex landscapes remain poorly understood, hindering efforts to achieve UNEP’s goal of halving nitrogen losses. This study employed the process-oriented hydro-biogeochemical model (CNMM-DNDC), validated with multi-year observations, to investigate these effects in a subtropical catchment in the upper Yangtze River. The model demonstrated strong performance (Nash-Sutcliffe efficiencies > 0.81) for water flows and nitrogen discharges. Thirty-one scenarios were set by referring to the precipitation records in 1980−2022, categorizing them as normal and seasonal deluges and droughts. Scenario simulations revealed that autumn deluges would increase annual nitrate leaching by 121–164 %, while summer deluges or droughts would significantly alter nitrate and particulate nitrogen discharges (+51 % − +118 % or -29 % − -43 %, respectively). Annual precipitation showed strong positive linear relationships with nitrate and particulate nitrogen discharges with determination coefficients (r²) of 0.95−0.97 in the current year (p < 0.001), while gaseous nitrogen emissions negatively correlated with nitrogen discharges (r² > 0.93, p < 0.001). Annual deluges substantially alter the hysteresis behaviors of nitrate and particulate nitrogen, suggesting that the transport of soil accumulated nitrate via interflow is limited under normal and annual droughts. These findings highlight CNMM-DNDC’s utility in linking climate events to nitrogen losses in complex landscapes, offering critical insights for sustainable nitrogen management.

气候变化加剧了季节性洪水和干旱，但它们对复杂景观中土壤氮损失的影响仍知之甚少，阻碍了实现环境署将氮损失减半的目标。本研究采用经过多年观测验证的过程导向水文-生物地球化学模型（CNMM-DNDC）对长江上游亚热带流域的这些效应进行了研究。该模型在水流和氮排放方面表现出很强的性能（Nash-Sutcliffe效率>； 0.81）。参考1980 - 2022年的降水记录，设定了31个情景，将它们分为正常和季节性洪涝和干旱。情景模拟结果显示，秋季洪水将使年硝酸盐淋滤增加121% ~ 164%，而夏季洪水或干旱将显著改变硝态氮和颗粒氮排放（分别为+ 51% ~ + 118%或- 29% ~ - 43%）。年降水量与硝态氮和颗粒氮排放量呈较强的线性正相关，决定系数（r2）为0.95 ~ 0.97 (p < 0.001)，而气体氮排放量与氮排放量呈负相关（r²> 0.93, p < 0.001）。年洪水显著改变了硝态氮和颗粒氮的滞回特性，表明在正常干旱和年干旱条件下，土壤积累硝态氮通过互流的输送受到限制。这些发现突出了CNMM-DNDC在将气候事件与复杂景观中的氮损失联系起来方面的作用，为可持续氮管理提供了重要见解。

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引用次数: 0

Modeling changes in nutrient retention ecosystem service using the InVEST-NDR model: A case study in the Gumara River of Lake Tana Basin, Ethiopia 利用InVEST-NDR模型模拟营养保持生态系统服务变化：以埃塞俄比亚塔纳湖流域古马拉河为例

IF 2.2 4区环境科学与生态学 Q2 ECOLOGY

Ecohydrology & Hydrobiology

Pub Date : 2025-07-01 DOI: 10.1016/j.ecohyd.2025.01.001

Wubneh B. Abebe , Minychl G. Dersseh , Goraw Goshu , Wuletawu Abera , Edo Abraham , Muluneh A. Mekonnen , Nicola Fohrer , Seifu A. Tilahun , Michael E. McClain , William A. Payne , Joanna R. Blaszczak

Aquatic ecosystems provide valuable ecosystem services (e.g., habitat for fisheries) to surrounding communities but environmental degradation can diminish the quality of these ecosystem services. The Lake Tana basin, including the Gumara River and its associated wetlands in Ethiopia, has experienced rapid environmental change in the last several decades. Changes in the export of nutrients from the uplands might contribute to the rapid degradation of aquatic ecosystem services due to the expansion of water hyacinths and declines in fish biodiversity and yields. We estimate how human modification and climate change have impacted watershed nutrient retention from 1986 to 2020. Here we (1) examine trends in surface water chemistry, watershed land use/land cover change, and flow alterations; (2) estimate the watershed nutrient delivery ratio (NDR), a metric of watershed nutrient retention, through time; and (3) examine how fishery yields and water hyacinth infestation in Lake Tana at the outlet of the Gumara River change during a period of rapid increase in nutrient export from the Gumara River. Estimates of the surface load and export of both phosphorus (P) and nitrogen (N) from the Gumara River watershed were approximately stable between 1986 and 2009, but from 2014 to 2020 exports increased by 69 % for P and 80 % for N. Potential factors driving this rapid increase include an expansion in irrigation for agriculture, land conversion to eucalyptus plantations, decreases in dry season flow, and an increase in mean annual precipitation since 2009. In addition, the increase in nutrient export from the Gumara River watershed coincides with a near extirpation of fish in the Gumara River and a ten-fold expansion of water hyacinth downstream in Lake Tana. Human activity and hydrological alteration in the Gumara River watershed have resulted in water quality changes, declines in fish populations, and the expansion of invasive species. Long-term monitoring and watershed modeling can help inform the management of regionally important aquatic ecosystems such as the Gumara River and Lake Tana.

水生生态系统为周围社区提供有价值的生态系统服务（如渔业栖息地），但环境退化会降低这些生态系统服务的质量。塔纳湖流域，包括古马拉河及其在埃塞俄比亚的相关湿地，在过去的几十年里经历了快速的环境变化。由于水葫芦的扩张和鱼类生物多样性和产量的下降，从高地输出营养物质的变化可能会导致水生生态系统服务的迅速退化。我们估算了1986年至2020年人类活动和气候变化对流域养分保留的影响。在这里，我们(1)研究了地表水化学、流域土地利用/土地覆盖变化和流量变化的趋势；(2)估算流域养分输送比（NDR）随时间的变化，NDR是流域养分保留的度量；(3)考察古马拉河出水口塔纳湖的渔业产量和水葫芦侵染在古马拉河养分出口快速增加期间的变化。1986年至2009年，古马拉河流域磷和氮的地表负荷和出口量大致稳定，但从2014年到2020年，磷和氮的出口量分别增加了69%和80%。驱动这一快速增长的潜在因素包括农业灌溉的扩大、土地转向桉树人工林、旱季流量的减少以及2009年以来平均年降水量的增加。此外，古马拉河流域营养物出口增加的同时，古马拉河的鱼类几乎灭绝，塔纳湖下游的水葫芦数量增加了10倍。古马拉河流域的人类活动和水文变化导致水质变化、鱼类种群减少和入侵物种扩大。长期监测和流域建模有助于为古马拉河和塔纳湖等区域重要水生生态系统的管理提供信息。

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引用次数: 0

A comprehensive analysis of groundwater quality: Geospatial and multivariate approaches in Dindigul District, Tamil Nadu, India 地下水质量的综合分析：印度泰米尔纳德邦Dindigul地区的地理空间和多元方法

IF 2.2 4区环境科学与生态学 Q2 ECOLOGY

Ecohydrology & Hydrobiology

Pub Date : 2025-07-01 DOI: 10.1016/j.ecohyd.2024.10.001

M. Lavanya, M. Muthukumar

This study focuses on a comprehensive analysis of groundwater quality by integrating hydrogeochemical, geospatial, Multivariate Statistical Approaches (MSA), and water quality indices (WQI), along with visualization techniques, in the Dindigul district of Tamil Nadu, India. A total of 69 water samples, collected during pre-monsoon (PRM) and post-monsoon (POM) periods by the Public Works Department, Tharamani, were analyzed for major cations (Na+, Ca+, Mg+, K+), anions (Cl-, SO4-, HCO3-, NO3-), and various physical and chemical parameters such as pH, Total Dissolved Solids (TDS), and Electrical Conductivity (EC). The Water Quality Index (WQI) for Bureau of Indian Standard was calculated to assess water quality for drinking purposes. PRM samples showed poorer water quality due to ion dilution and agricultural influence compared to POM samples. The WQI revealed that 3.4 % of the PRM area had excellent water quality, 40.72 % good, 35.54 % poor, 18.41 % very poor, and 1.91 % unsuitable for drinking. In the POM period, 6.34 % of the area was classified as excellent, 51.03 % good, 40.09 % poor, 2.45 % very poor, and 0.08 % unsuitable. Irrigation water quality indices, including Sodium Percentage (Na%), Sodium Adsorption Ratio (SAR), Kelly's Ratio (KR), Magnesium Hazard (MH), Residual Sodium Carbonate (RSC), and Permeability Index (PI), were also computed to identify suitable zones for sustainable agriculture. Correlation analysis indicated significant positive relationships between TDS and other parameters, like Bicarbonate, Total Hardness, Chloride, and EC during PRM, and Sulphate, Total Hardness, Calcium, Chloride, Sodium, and EC during POM, suggesting that TDS is a key indicator of water quality variations in both periods.

本研究以印度泰米尔纳德邦Dindigul地区为研究对象，利用水文地球化学、地理空间、多元统计方法（MSA）和水质指数（WQI）以及可视化技术对地下水质量进行了综合分析。泰国公共工程部在季风前（PRM）和季风后（POM）期间收集了69个水样，分析了主要阳离子（Na+, Ca+, Mg+, K+），阴离子（Cl-, SO4-, HCO3-, NO3-）以及各种物理和化学参数，如pH，总溶解固体（TDS）和电导率（EC）。印度标准局的水质指数（WQI）是用来评估饮用水水质的。与POM样品相比，由于离子稀释和农业影响，PRM样品的水质较差。水质指数显示，水质优良的占3.4%，良好的占40.72%，差的占35.54%，极差的占18.41%，不宜饮用的占1.91%。在POM期间，6.34%的地区被评为优秀，51.03%为良好，40.09%为差，2.45%为极差，0.08%为不适合。通过计算灌溉水质指标，包括钠百分比（Na%）、钠吸附比（SAR）、凯利比（KR）、镁危害（MH）、残余碳酸钠（RSC）和渗透指数（PI），确定可持续农业适宜区。相关分析表明，PRM期TDS与碳酸氢盐、总硬度、氯离子、EC、硫酸盐、总硬度、钙离子、氯离子、钠离子、EC、POM期TDS呈显著正相关，表明TDS是两个时期水质变化的关键指标。

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引用次数: 0