In karst catchments where only sparse temporal monitoring is performed, it is generally difficult to correctly assess the overall hydrodynamics of the basin. However, sparse temporal spring-discharge data may contain information of major importance for the characterization of such catchments, especially when sparse spring-discharge data over a long period are available and combined with higher frequency discharge and/or piezometric-level data. This paper proposes a methodology for the characterization and hydrodynamic modeling of karst catchments by coupling sparse temporal data of discharge at a karstic spring over a 30-year measurement period, with higher frequency (i.e. hourly) data of hydrodynamic (piezometry, discharge), physicochemical (temperature, electrical conductivity) and meteorological data over a short monitoring period of 21 months. The study area is the Oeillal spring catchment, one of the main outlets of the Fontfroide-Montredon limestone aquifer located at the border of the Narbonne-Sigean sedimentary basin, southern France. The present study focuses on the use of numerical tools such as time-series analysis (recession analysis, auto-correlation and cross-correlation analysis) coupled with a lumped-parameter modeling approach, to assess the hydrodynamic behaviour of the karst system. The main results of the study highlight the necessity to couple the results from lumped-parameter rainfall-runoff modeling with results from high-resolution time-series analysis to evaluate the physical significance of the model, since classical numerical performance criteria such as the Nash-Sutcliff efficiency, Kling-Gupta efficiency and balance error, can be poorly estimated when only subsampled time series exist for model calibration.

在仅进行稀疏时间监测的喀斯特流域，通常很难正确评估流域的整体水动力。但是，稀疏的时间弹簧流量数据可能包含对于此类流域的表征非常重要的信息，尤其是当可获得较长时期的稀疏的弹簧流量数据并与更高频率的流量和/或测压水平数据结合时。本文提出了一种方法，该方法通过将岩溶流域30年测量期间的稀疏排放临时数据与较高频率（即每小时）的流体力学（比重法，排放量），理化数据相结合，来进行岩溶流域的表征和流体力学建模。 （温度，电导率）和气象数据在短短的21个月的监测期内。研究区域是Oeillal春季流域，它是位于法国南部纳博讷-西贡沉积盆地边界的Fontfroide-Montredon石灰岩含水层的主要出口之一。本研究着重于使用数值工具，例如时间序列分析（经济衰退分析，自相关和互相关分析），以及集总参数建模方法，以评估岩溶系统的水动力行为。研究的主要结果强调了将集总参数降雨径流模型的结果与高分辨率时间序列分析的结果进行耦合以评估模型的物理意义的必要性，因为经典的数值性能标准（例如Nash- Sutcliff效率，Kling-Gupta效率和平衡误差，