Journal of Hydrology最新文献

英文中文

Enhanced saturated hydraulic conductivity estimation in fine-grained soils: a voting regressor ensemble framework 增强的饱和水力电导率估计在细粒土壤：投票回归集合框架

IF 6.4 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2026-01-30 DOI: 10.1016/j.jhydrol.2026.135041

Hong Zhang, You Gao, De’an Sun

引用次数: 0

Impacts of spatial-temporal rainfall structures and antecedent wetness on flood variability at the catchment scale 时空降水结构和前期湿度对流域尺度洪水变率的影响

IF 6.4 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2026-01-29 DOI: 10.1016/j.jhydrol.2026.135019

Wencong Yang, Changming Li, Hanbo Yang

引用次数: 0

High-precision numerical simulation framework for the integrated modeling of urban “Source-Plant-Network-River” water environment 城市“源-植物-网络-河流”水环境一体化建模的高精度数值模拟框架

IF 6.3 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2026-01-29 DOI: 10.1016/j.jhydrol.2026.135036

Guangxue Luan , Jingming Hou , Fuqiang Wang , Tian Wang , Donglai Li

Urban water environments are facing increasingly severe pollution challenges, and rigorous numerical models have become indispensable for mitigating urban water pollution. Building on the “Gridding + GPU acceleration + Dynamic Link Library (DLL)” approach, this study develops an advanced coupled model that integrates (i) two-dimensional (2D) surface-water hydrodynamics and water-quality transport, (ii) 2D non-point-source pollutant (NPSP) build-up and wash-off, and (iii) one-dimensional (1D) pipe-network drainage and pollutant discharge, thereby enabling integrated simulation of the urban “Source-Plant-Network-River” (SPNR) system. The model employs high-resolution structured grids and a spatiotemporal flux scheme for multi-component pollutants in surface runoff, allowing accurate representation of NPSP wash-off and transport driven by coupled hydrological-hydrodynamic processes. DLL-based bidirectional coupling is implemented to dynamically link 2D surface processes and 1D pipe network hydraulics and water quality processes while reducing distortions in parameter transfer across modules. GPU acceleration, together with optimized water-quality flux computations and removal of redundant operations, significantly improves computational efficiency. The model is applied to the main urban area of Changzhi City under three spatially distributed rainfall scenarios. Performance is evaluated against observations of inundation depth, zoned drainage/sewage discharge, and combined sewer overflow (CSO) flow and water quality. The results show that the Nash-Sutcliffe efficiency (NSE) exceeds 0.7 for inundation depths at four flood-prone locations and for flow and pollutant concentrations at three representative drainage-outfall zones and four CSO outfalls. On an RTX 3070 workstation, the optimized model completes a 7.22 h simulation on 8,484,785 uniform structured grids coupled with 32,982 pipe-network nodes in 8.15 h, reducing runtime by 12.6% compared with the pre-optimization model. The proposed modeling framework is robust and efficient, offering strong potential for high-precision integrated simulations of urban water environments from source to receiving waters, as well as for evaluation, forecasting, early warning, and comprehensive water-environment management from a watershed perspective.

城市水环境面临着日益严峻的污染挑战，严谨的数值模拟已成为缓解城市水污染不可缺少的手段。基于“网格+ GPU加速+动态链接库（DLL）”方法，本研究开发了一种先进的耦合模型，该模型集成了(i)二维（2D）地表水流体动力学和水质运输，（ii）二维非点源污染物（NPSP）的积累和冲刷，以及（iii）一维（1D）管网排水和污染物排放，从而实现了城市“源-植物-网络-河流”（SPNR）系统的综合模拟。该模型采用高分辨率结构网格和地表径流中多组分污染物的时空通量方案，可以准确表示由水文-水动力耦合过程驱动的NPSP冲刷和输送。基于dll的双向耦合实现了二维表面过程与一维管网水力和水质过程的动态连接，同时减少了模块间参数传递的失真。GPU加速，加上优化的水质通量计算和去除冗余操作，显著提高了计算效率。将该模型应用于长治市主城区三种降雨空间分布情景。性能是根据淹没深度、分区排水/污水排放、综合下水道溢流（CSO）流量和水质的观察来评估的。结果表明，在4个洪水易发区的淹没深度、3个代表性排水口和4个CSO排水口的流量和污染物浓度方面，Nash-Sutcliffe效率（NSE）超过0.7。在RTX 3070工作站上，优化后的模型在8.15 h内完成了8,484,785个均匀结构网格和32,982个管网节点的7.22 h的仿真，与优化前模型相比，运行时间减少了12.6%。该模型框架稳健高效，为实现城市水环境从源头到受水的高精度综合模拟，以及流域评价、预报、预警和综合水环境管理提供了强大的潜力。

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引用次数: 0

Comparative analysis of GAMLSS modeling approaches for nonstationary runoff dynamics in the Yellow River Basin of China 黄河流域非平稳径流动态的GAMLSS模拟方法比较分析

IF 6.3 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2026-01-29 DOI: 10.1016/j.jhydrol.2026.135048

Ben Niu , Yi Li , Yurui Fan , Lei Gong , Lei Wang , Taishan Wang

Quantifying the driving effects of climate change and human activities on nonstationary runoff dynamics is essential. However, the systematic assessments of nonstationary characteristics and their multiple driving mechanisms at the basin scale remain insufficient. This study compared two Generalized Additive Model for Location, Scale, and Shape (GAMLSS) modeling approaches–Continuous-series modeling (Mode1) and monthly-segmented modeling (Mode2)–to analyze the hydrological nonstationarity characteristics of the Yellow River Basin in China and elucidate the driving mechanisms of runoff processes by incorporating covariates of time, circulation, climate, and human factors. The results indicated that: (1) Taking time as a covariate, Mode2 significantly enhanced model robustness by isolating seasonal dynamics. Mode2 raised the average correlation of the location parameter (μ) with the monthly runoff series to R = 0.82 (range 0.70–0.90), a 30–50% increase over Mode1. Furthermore, the nonstationary standardized runoff index (NSRI) aligned more accurately with actual hydrological fluctuations. (2) Taking circulation indices as covariates, circulation indices (AMO, PDO and NINO3) predominantly governed large-scale hydrological trends, with PDO exerting a more pronounced regulatory effect on extreme events in the downstream region under Mode2. (3) The climate-human composite-driven model had the best fitting effect on runoff, particularly at lower timescales (1-, 3-, and 6-month scales) in the middle and lower reaches, where the interactions among total precipitation (TP), snowmelt (SMT), and soil water storage capacity (SWC) explained over 80% of runoff variations (This model yielded the lowest AICc—15% lower than the single climate model—and the highest explanatory power, with R² = 0.85 at 1-month, and 0.70 at 3-month scales). This study suggests that Mode2, with its precise characterization of seasonal differentiation and human dynamics, is more suitable for refined water resource management and extreme drought-flood prediction, whereas Mode1 remains efficient for analyzing interdecadal circulation effects. By addressing three key challenges—capturing monthly runoff nonstationarity, integrating multi-factor drivers, and validating runoff simulations—this study greatly improves runoff modeling and drought detection accuracy, laying a scientific foundation for adaptive management under the combined pressures of climate change and human activities.

量化气候变化和人类活动对非平稳径流动态的驱动效应是必要的。然而，对流域尺度上的非平稳特征及其多重驱动机制的系统评价仍然不足。本文通过对连续序列模型（model1）和月分割模型（model2）两种广义加性模型（GAMLSS）建模方法的比较，分析了黄河流域水文非平稳性特征，并结合时间、环流、气候和人为因素等协变量阐明了径流过程的驱动机制。结果表明：(1)以时间为协变量，模型2通过隔离季节动态显著增强了模型的稳健性。模型2将位置参数（μ）与月径流序列的平均相关性提高到R = 0.82（区间0.70 ~ 0.90），比模型1提高了30 ~ 50%。此外，非平稳标准化径流指数（NSRI）与实际水文波动更为吻合。(2)以环流指数为协变量，环流指数（AMO、PDO和NINO3）主导大尺度水文趋势，其中在模式2下，PDO对下游地区极端事件的调节作用更为明显。(3)气候-人类复合驱动模式对径流的拟合效果最好，特别是在较低的时间尺度（1、3、6个月尺度）中下游地区，总降水量、融雪量和土壤蓄水能力的相互作用解释了80%以上的径流变化（该模式的aicc最低，比单一气候模式低15%，解释能力最高，1个月和3个月的R2分别为0.85和0.70）。研究表明，模型2更适合于精细水资源管理和极端旱涝预测，而模型1更适合于分析年代际环流效应。通过解决月度径流非平稳性捕获、多因素驱动整合和径流模拟验证三个关键挑战，本研究极大地提高了径流建模和干旱探测的精度，为气候变化和人类活动联合压力下的适应性管理奠定了科学基础。

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引用次数: 0

Groundwater responses to decadal rainfall variability in Semi-Arid South Africa 半干旱南非地下水对年代际降水变化的响应

IF 6.4 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2026-01-29 DOI: 10.1016/j.jhydrol.2026.135022

Elisa Bjerre, Søren Jessen, Raphael Schneider, Karen G. Villholth, Matthys A. Dippenaar, Trine Enemark, Rena Meyer, Jason Hallowes, Torben O. Sonnenborg, Thokozani Kanyerere, Karsten H. Jensen

引用次数: 0

Evaluating a data space inversion surrogate model for predictive uncertainty quantification in a coupled SWAT + gwflow model 评估SWAT + gwflow耦合模型中预测不确定性量化的数据空间反演代理模型

IF 6.4 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2026-01-29 DOI: 10.1016/j.jhydrol.2026.135028

Ehsan Qasemipour, Wesley Kitlasten, Ryan T. Bailey, Markus Pahlow, Thomas A. Cochrane

引用次数: 0

Heatwaves only partially offset increased water consumption from earlier greening: the case of the Kashi Basin in Central Asia 热浪只是部分抵消了早期绿化所增加的用水量：中亚喀什盆地的例子

IF 6.3 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2026-01-29 DOI: 10.1016/j.jhydrol.2026.135031

Lilin Zheng , Ling Wang , Annah Lake Zhu , Dahui Li , Ruishan Chen , Jianhua Xu , Xiaona Guo , Nan Jia

Excessive water consumption resulting from an earlier green-up date (GUD) driven by climate warming may be mitigated by reduced evapotranspiration (ET) during summer heatwaves. However, their relative contributions to water consumption remain unclear. Here, we integrate satellite-derived phenology, reanalysis-based heatwave indices and a physically based eco-hydrological model to disentangle the effects of earlier GUD and heatwaves on ET and streamflow in the Kashi Basin (KSB), an inland basin on the western slope of the Tianshan Mountains in Central Asia. From 2001 to 2020, GUD in the basin advanced by 0.38 days yr⁻¹ (∼12 days earlier relative to 2001), while nighttime and daytime heatwaves (represented by TN90p and TX90p) increased by 0.53 and 0.39 days yr⁻¹, respectively. Model estimates indicate that earlier GUD increases annual basin-mean ET by 11.24 mm (5.72% of baseline ET; 95% CI: 8.47–13.99) and reduces annual streamflow by 0.56 × 10⁸ m³ (1.59% of baseline streamflow; 95% CI: −0.70–0.42 × 10⁸ m³). By contrast, increased heatwaves are associated with a small annual ET reduction of 1.15 mm (0.58% of baseline ET; 95% CI: −1.51–0.75) and a modest annual streamflow increase of 0.06 × 10⁸ m³ (0.17% of baseline streamflow; 95% CI: 0.04–0.08 × 10⁸ m³). The combined GUD × heatwave scenario yields a slightly larger ET increase and streamflow reduction than the linear sum of individual effects. Thus, in this cold and semi-arid basin, heatwave-related ET savings compensate for only about 10% of the additional ET linked to earlier green-up (95% CI: 7%–12.6%). A Tianshan-wide analysis further shows that 59.88% of alpine vegetation experienced both advancing GUD and late-summer browning, consistent with basin-scale evidence that enhanced spring growth can erode, rather than enhance, the carryover benefits of spring greening by depleting water resources needed to sustain summer vegetation activity.

由于气候变暖导致的绿期提前（GUD）导致的过度用水可能会因夏季热浪期间蒸发蒸腾（ET）的减少而得到缓解。然而，它们对水消耗的相对贡献仍不清楚。本文综合利用卫星物候数据、基于再分析的热浪指数和基于物理的生态水文模型，分析了早期古风和热浪对中亚天山西坡内陆盆地喀什盆地ET和径流的影响。从2001年到2020年，流域的GUD增加了0.38天（比2001年提前了~ 12天），而夜间和日间热浪（以TN90p和TX90p为代表）分别增加了0.53天和0.39天。模式估计表明，早期的GUD使年流域平均ET增加11.24 mm（基线ET的5.72%;95% CI: 8.47-13.99），使年流量减少0.56 × 108 m3（基线流量的1.59%;95% CI: - 0.70-0.42 × 108 m3）。相比之下，热浪增加与年蒸散量减少1.15 mm（基线蒸散量的0.58%;95% CI: - 1.51-0.75）和年流量适度增加0.06 × 108 m3（基线流量的0.17%;95% CI: 0.04-0.08 × 108 m3）相关。与单个效应的线性总和相比，古德温×热浪情景的蒸散发增加和流流量减少略大。因此，在这个寒冷和半干旱的盆地中，与热浪相关的ET节约仅补偿了与早期绿化相关的额外ET的10% （95% CI: 7%-12.6%）。在天山范围内的分析进一步表明，59.88%的高寒植被经历了提前的GUD和夏末褐变，这与流域尺度上的证据一致，即春季生长的增强会通过消耗维持夏季植被活动所需的水资源来侵蚀而不是增强春季绿化的后续效益。

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引用次数: 0

Non-uniform suspended sediment transport in turbulent open channel flows under non-equilibrium conditions 非平衡条件下明渠湍流非均匀悬浮泥沙输运

IF 6.4 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2026-01-29 DOI: 10.1016/j.jhydrol.2026.135020

Jinlan Guo, Adrian Wing-Keung Law

引用次数: 0

Nonstationary agricultural drought risk under compound meteorological drought and hot conditions 气象干热复合条件下的非平稳农业干旱风险

IF 6.4 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2026-01-29 DOI: 10.1016/j.jhydrol.2026.135059

Quan Zhang, Ziyang Lu, Jiaolong Ying, Yue Qiu, Panpan Wang, Zhipeng Xu, Dongxiao Xu, Yongping Li

引用次数: 0

From molecular mechanisms to remote sensing retrievals: a physically consistent framework for fluorescent dissolved organic matter 从分子机制到遥感检索：荧光溶解有机物的物理一致框架

IF 6.3 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2026-01-29 DOI: 10.1016/j.jhydrol.2026.135047

Ruiwu Zhang , Ruru Deng , Jun Ying , Cong Lei , Junying Yang , Huahong Ni , Zhuoqun Chai , Tongtong Zhao

Fluorescent dissolved organic matter (fDOM), a key carrier of bioactive carbon in aquatic systems, is critical for understanding the global carbon cycle. However, most remote sensing retrievals rely on empirical statistics, lacking physical interpretation of fluorescence mechanisms and radiative transfer, which limits their applicability in optically complex waters. This study develops a molecular mechanism-based quantitative inversion method for fDOM. A molecular two-level transition model is used to derive the excitation–emission photon kernel and apparent quantum yield (AQY), which are mapped to the bulk emission coefficient. The framework incorporates the Eddington two-stream approximation, interface transmittance, inner-filter correction, and multi-component absorption parameterization, solved through Tikhonov regularization. Field measurements in the Pearl River Estuary and Weizhou Island validated the model. The estuary showed higher fDOM concentrations and a fluorescence peak at Ex/Em = 335/455 nm, indicating terrestrial input, whereas Weizhou Island exhibited a marine-derived peak at Ex/Em = 315/435 nm. Accounting for the inner-filter effect notably improved simulation accuracy, especially in high-concentration waters. Fisher information analysis identified AQY and the absorption slope as key stable parameters. The inversion results correlated well with observations. This molecular mechanism-based framework provides a physically grounded approach for quantitative fDOM remote sensing and offers strong potential for application in optically complex aquatic environments.

荧光溶解有机物（fDOM）是水生系统中生物活性炭的重要载体，对了解全球碳循环至关重要。然而，大多数遥感检索依赖于经验统计，缺乏对荧光机制和辐射转移的物理解释，这限制了它们在光学复杂水域的适用性。本研究开发了一种基于分子机理的fDOM定量反演方法。利用分子两能级跃迁模型推导了激发发射光子核和表观量子产率，并将其映射到体发射系数。该框架包含Eddington双流近似、界面透射率、内滤波器校正和多分量吸收参数化，并通过Tikhonov正则化求解。珠江口和涠洲岛实测数据验证了该模型的有效性。河口fDOM浓度较高，荧光峰位于Ex/Em = 335/455 nm处，为陆地输入；涠洲岛fDOM荧光峰位于Ex/Em = 315/435 nm处，为海洋输入。考虑到内滤效应显著提高了模拟精度，特别是在高浓度水域。Fisher信息分析表明，AQY和吸收斜率是关键的稳定参数。反演结果与观测吻合较好。这种基于分子机制的框架为定量fDOM遥感提供了一种物理基础方法，并为光学复杂的水生环境提供了强大的应用潜力。

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