基于二元水循环的水量-水质-水效联合调控模型开发与应用

为将我国最严格水资源管理制度的实践与二元水循环理论相结合，提高“三条红线”控制指标的科学性与合理性，本文以SWAT模型为基础，通过改进子流域划分方法、添加经济社会模块和人工用水模块，对其人工侧支循环模拟进行了系统的完善，开发了基于SWAT的水量-水质-水效联合调控模型SWAT_WAQER。以广西南流江流域为例，从国民经济用水量、河道径流与水质等方面对模型进行校验，并在此基础上划分了2030年“三条红线”控制指标。结果表明：该模型性能良好，能够用于不同节水情景下的国民经济用水量、污染物排放量、水功能区水质达标结果分析，可以作为科学制定“三条红线”控制指标的有力支撑工具。     

A comparison of SWAT, HSPF and SHETRAN/GOPC for modelling phosphorus export from three catchments in Ireland

Recent extensive water quality surveys in Ireland revealed that diffuse phosphorus (P) pollution originating from agricultural land and transported by runoff and subsurface flows is the primary cause of the deterioration of surface water quality. P transport from land to water can be described by mathematical models that vary in modelling approach, complexity and scale (plot, field and catchment). Here, three mathematical models (soil water and analysis tools (SWAT), hydrological simulation program-FORTRAN (HSPF) and système hydrologique Européen TRANsport (SHETRAN)/grid oriented phosphorus component (GOPC)) of diffuse P pollution have been tested in three Irish catchments to explore their suitability in Irish conditions for future use in implementing the European Water Framework Directive. After calibrating the models, their daily flows and total phosphorus (TP) exports are compared and assessed. The HSPF model was the best at simulating the mean daily discharge while SWAT gave the best calibration results for daily TP loads. Annual TP exports for the three models and for two empirical models were compared with measured data. No single model is consistently better in estimating the annual TP export for all three catchments.     

Uncertainty analysis of parameters in non‐point source pollution simulation: case study of the application of the Soil and Water Assessment Tool model to Yitong River watershed in northeast China

Uncertainty analysis of the model parameters in non‐point source pollution (NPSP) simulation is important because of its great effects on predictions and decision‐making. Understanding the main parameters that effect the uncertainty of NPSP is necessary to provide the basis for formulating control measures. In this study, two methods were applied to conduct parameter uncertainty analysis for Soil and Water Assessment Tool (SWAT). Sobol’ method was used to screen out the model parameters with great effects on the runoff, sediment, total nitrogen (TN) and total phosphorus (TP). The results obtained by sensitivity analysis were used subsequent model calibration and further uncertainty analysis. Monte Carlo (MC) method was employed to analyse the effects of parameter uncertainty on the model outputs. However, such problems are time‐consuming because the MC method required to invoke simulation model thousands of times. To address this challenge, a kriging surrogate model was developed to improve the overall calculation efficiency. The results obtained by sensitivity analysis showed that curve number value (CN2), soil evaporation compensation factor (ESCO), universal soil loss equation support practice factor (USLE_P) and initial organic nitrogen concentration in soil layer (SOL_ORGN) had significant effects on the SWAT outputs. The uncertainty analysis results showed that the uncertainty of runoff is the lowest, followed by TP and TN, and the uncertainty of sediment was the greatest. The kriging surrogate model has the ability to solve this time‐consuming problem rapidly with a high degree of accuracy, and thus it is very robust.     

变化环境下由设计暴雨推求设计洪水方法研究

为推求变化环境下的设计洪水,以黄河上游唐乃亥站以上流域1967~2006年的年最大15d降雨量系列为例,基于设计暴雨与SWAT模型相结合的方法,首先构建变参数概率分布函数模型描述变化环境下非一致性暴雨极值系列的分布规律,随后基于等可靠度方法推求给定重现期条件下的设计暴雨值,再结合SWAT水文模型推求设计洪水。结果表明,变化环境下唐乃亥站以上流域各设计频率(P=10%、5%、2%、1%)的设计暴雨值随工程设计寿命(20、30、50、80、100年)的增大而减小,百年一遇设计洪峰从3 292m^3/s降至3 023m^3/s,洪量从29.9×10^8 m^3降至27.4×10^8 m^3。实例应用验证了该方法的可行性,可为变化环境下的设计洪水计算提供参考。     

Assessment of the different sources of uncertainty in a SWAT model of the River Senne (Belgium)

Although rainfall input uncertainties are widely identified as being a key factor in hydrological models, the rainfall uncertainty is typically not included in the parameter identification and model output uncertainty analysis of complex distributed models such as SWAT and in maritime climate zones. This paper presents a methodology to assess the uncertainty of semi-distributed hydrological models by including, in addition to a list of model parameters, additional unknown factors in the calibration algorithm to account for the rainfall uncertainty (using multiplication factors for each separately identified rainfall event) and for the heteroscedastic nature of the errors of the stream flow. We used the Differential Evolution Adaptive Metropolis algorithm (DREAM_(zs)) to infer the parameter posterior distributions and the output uncertainties of a SWAT model of the River Senne (Belgium). Explicitly considering heteroscedasticity and rainfall uncertainty leads to more realistic parameter values, better representation of water balance components and prediction uncertainty intervals.     

Using a parallelized MCMC algorithm in R to identify appropriate likelihood functions for SWAT

Markov Chain Monte Carlo (MCMC) algorithms allow the analysis of parameter uncertainty. This analysis can inform the choice of appropriate likelihood functions, thereby advancing hydrologic modeling with improved parameter and quantity estimates and more reliable assessment of uncertainty. For long-running models, the Differential Evolution Adaptive Metropolis (DREAM) algorithm offers spectacular reductions in time required for MCMC analysis. This is partly due to multiple parameter sets being evaluated simultaneously. The ability to use this feature is hindered in models that have a large number of input files, such as SWAT. A conceptually simple, robust method for applying DREAM to SWAT in R is provided. The general approach is transferrable to any executable that reads input files. We provide this approach to reduce barriers to the use of MCMC algorithms and to promote the development of appropriate likelihood functions.     

基于改进的SWAT模型的湿地水文过程模拟

针对SWAT模型在湿地水循环模拟过程中存在的不足,以扎龙湿地为例,根据湿地的水文特征,在SWAT模型基础上重新构建了湿地模块来模拟扎龙湿地水文过程,并以1987~1989年月出口径流量对模型进行率定,2005~2006年月出口径流量对模型进行验证。结果表明,改进的模型能较好地模拟扎龙湿地水文过程和湿地水文特征,模拟结果具有较高的可信度。     

青藏高原兹格塘错流域50年来湖泊水量对气候变化响应的模拟研究

运用数值模拟建立青藏高原兹格塘错流域土壤、植被、气候等的空间和属性数据库;接着,借助分布式流域尺度水文模型(SWAT模型),对兹格塘错1956—2006年间的流量进行模拟实验;最后,反演50年来兹格塘错流域水文过程,测试流域温度、降水和蒸发组合的敏感因子对湖泊水量变化的效应,探讨50年来湖泊水量对气候变化的响应。模拟实验的边界条件设置为自然地形、土壤、植被覆盖,其中土壤资料包括有机质含量、粒径等理化参数。模拟结果表明:兹格塘错的年平均流量为6.3m³/s,流量高峰集中在8月至10月,并且由于融雪补给的关系,3月出现另一个流量高峰;模拟结果与遥感解译所得到的结果吻合较好。敏感实验表明:兹格塘错流域内温度、降水和蒸发组合的敏感因子实验具有高原特征,即高原湖泊的水文过程和湖泊流量变化有着较为敏感的响应关系;兹格塘错流量受降水的影响最大,随着降水的增加,流量有所增加;在温度升高的情况下,流域蒸发量增加速度大,兹格塘错流量增加的效应不明显,而在冷湿模式下,流域蒸发量降低,兹格塘错流量增加显著。     

Climate change impacts on streamflow and non‐point source pollutant loads in the 3S Rivers of the Mekong Basin

Changes in non‐point source (NPS) pollutants are of particular concern in developing countries. This study investigated the responses of streamflow and NPS pollutant loads to climate change in the 3S River Basin, a trans‐boundary basin of the Mekong River, using Soil and Water Assessment Tool (SWAT). Firstly, the SWAT model in simulations of streamflow and NPS pollutant loads was calibrated and validated against observed data to prove the reliability of the simulation results. Then, the calibrated SWAT model was used to simulate changes in streamflow and NPS pollutants under the impact of climate change. The simulation results indicated that the streamflow and NPS pollutant loads are predicted to increase in the future. Moreover, water shortage in the dry season and soil degradation in the wet season are emphasized to occur in the future.     

基于SWAT模型的长江源区巴塘河流域径流模拟

为了分析长江源区巴塘河流域气候变化与径流的水文响应关系,根据研究区的DEM(digital elevation model)、气象数据、土壤类型和土地利用数据,建立了SWAT(Soil and Water Assessment Tool)模型,并选用SUFI-2(Sequential Uncertainty Fitting)算法进行SWAT模型参数的矫正及验证。模拟结果表明:矫正期与验证期的模拟径流量与实测流量的峰值出现月份基本一致,均在巴塘河流域的6—9月份,最小值出现月份均在巴塘河流域的1,2月份,地下水延滞参数为影响模拟结果的首要因子。矫正期与验证期的模拟径流量与实测径流量之间的确定性系数及效率系数都高于0.8,该模型对巴塘流域的模拟效果良好,但受冻土影响较大。通过径流模拟及影响因子分析,可为巴塘河流域的山洪泥石流灾害预测、风险分析与管理提供参考。