Evaluation of Using Remote Sensing Evapotranspiration Data in SWAT

This study applied a time series evapotranspiration (ET) data derived from the remote sensing to evaluate Soil and Water Assessment Tool (SWAT) model calibration, which is a unique method. The SWAT hydrologic model utilized monthly stream flow data from two US Geological Survey (USGS) stations within the Big Sunflower River Watershed (BSRW) in Northwestern, Mississippi. Surface energy balance algorithm for land (SEBAL), which utilized MODerate Resolution Imaging Spectro-radiometer (MODIS) to generate monthly ET time series data images were evaluated with the SWAT model. The SWAT hydrological model was calibrated and validated using monthly stream flow data with the default, flow only, ET only, and flow-ET modeling scenarios. The flow only and ET only modeling scenarios showed equally good model performances with the coefficient of determination (R²) and Nash Sutcliffe Efficiency (NSE) from 0.71 to 0.86 followed by flow-ET only scenario with the R² and NSE from 0.66 to 0.83, and default scenario with R² and NSE from 0.39 to 0.78 during model calibration and validation at Merigold and Sunflower gage stations within the watershed. The SWAT model over-predicted ET when compared with the Modis-based ET. The ET-based ET had the closest ET prediction (~8% over-prediction) as followed by flow-ET-based ET (~16%), default-based ET (~27%) and flow-based ET (~47%). The ET-based modeling scenario demonstrated consistently good model performance on streamflow and ET simulation in this study. The results of this study demonstrated use of Modis-based remote sensing data to evaluate the SWAT model streamflow and ET calibration and validation, which can be applied in watersheds with the lack of meteorological data.     

Application of the Distributed Hydrological Model,TOPNET, to the Big Darby Creek Watershed,Ohio, USA

Evaluation of the applicability and utility of watershed hydrologic models in different hydro-geologic and soil conditions is necessary for a range of spatial scales and to assess the utility of these models as watershed water resources management tools. This study presents the application of the hydrological model TOPNET to the Big Darby Creek watershed, Ohio, United States. It focuses on the simulation modeling of stream flow in the watershed based on meteorological data for the eight year period of 1992–1999. Visual comparison of time series plots and statistical measures namely, Nash-Sutcliffe efficiency (NS), coefficient of correlation (R²), and the percent bias (PBIAS) were used to assess the model performance. The statistical model evaluation results indicated that the model has a relatively high confidence and can give a good representation of the flow hydrographs for the watershed. For the calibration period simulations of annual stream flow were accurate with a mean R² and NS of 86% and 85% for the Big Darby at Darbyville gaging station. For the little Darby at West Jefferson gaging station a mean R² of 81% was obtained while the NS averaged 78%. Further analysis based on the aggregation of the water years into wet seasons and dry seasons, the model was also able to adequately simulate stream flow for both gaging stations and for both low flow periods and high flow periods. Statistical analysis for the validation period also yielded high R² values of 88% and 83% for the Darby at Big Darby at Darbyville gaging station and Little Darby at West Jefferson gaging station respectively. The worst PBIAS obtained for both calibration and validation period was 18% and this is better than recommended values for satisfactory daily simulations of ±25% for PBIAS. The encouraging simulation results obtained in this study shows the utility and usefulness of the TOPNET model in hydrological modeling and ultimately as a water resources management tool.     

Development of a New Integrated Framework for Improved Rainfall-Runoff Modeling under Climate Variability and Human Activities

The relationship between rainfall and runoff is a complex phenomenon and understanding the physical processes, hydrological components and their impacts on response of watershed to precipitation is one of the challenging issues in watershed hydrology and planning. There is still a need to improve conceptual hydrological models in water scarce regions, such as Iran mainly because in many cases there is not enough data to fully describe this phenomenon. In this research, we aimed to present an improved and parsimonious framework that increases the performance of a conceptual model in water balance and discharge modeling for Delichay watershed located in Hablehroud basin, Iran as one of the main source of water supply for downstream fertile agricultural areas that produce a considerable amount of cereals and play a major role for food and water security of the region. In areas where data for water cycle components are not available or limited, it is recommended to use parsimonious approach in order to have an acceptable level of understanding of the system with minimum possible predictor variables. The Salas model used in current research to model water balance over the period 1983–2012 and evaluation of the results indicated an unsatisfactory performance when the entire period was modeled altogether (NSE?=?0.35, d?=?0.70, R²?=?0.63, RSR?=?0.80, PBIAS?=?4.96 and RMSE?=?41.87). A key reason is that this watershed is intensively impacted by human activities and homogeneity analysis confirmed a sudden shift in runoff data during 1998–1999. Such a sudden shift reveals the role of human activities impacts on the watershed with a total reduction of 58 mm of runoff per year while the climate variability has not occurred in the region. Thus, the entire period (i.e. 1983–2012) was divided into two homogenous sub-periods of before and after the change point (i.e., pre-change and post-change periods). The results indicated that modeling performance in the sub-periods improved (e.g. the NSE was 0.77 and 0.66 for pre-change and post-change, respectively, vs. 0.35 for entire period). Meanwhile, it is revealed that water balance affected by human activities over the time and application of historical data for water balance modeling cannot be reliable without considering the homogeneous data. Since, many watersheds in the world have been affected by human activities or climate variability, it is recommended to consider the homogeneity of observed data before any application.

     

An automatic parameter calibration method for the SWAT model in runoff simulation

Runoff simulation is highly significant for hydrological monitoring, flood peak simulation, water resource management, and basin protection. Runoff simulation by distributed hydrological models, such as the soil and water assessment tool (SWAT) model which is the most widely used, is becoming a hotspot for hydrological forecasting research. However, parameter calibration is inefficient and inaccurate for the SWAT model. An automatic parameter calibration (APC) method of the SWAT model was developed by hybrid of the genetic algorithm (GA) and particle swarm optimization (PSO). Multi‐station and multi‐period runoff simulation and accuracy analysis were conducted in the basin of the Zhangjiang River on the basis of this hybrid algorithm. For example, in the Yaoxiaba Station, the calibration results produced an R² of 0.87 and Nash Sutcliffe efficiency (NSE) index of 0.85, while verification results revealed an R² of 0.83 and NSE of 0.83. Results of this study show that the proposed method can effectively improve the efficiency and simulation accuracy of the model parameters. It can be concluded that the feasibility and applicability of GA‐PSO as an APC method for the SWAT model were confirmed via case studies. The proposed method can provide theoretical guidance for many hydrological research fields, such as hydrological simulation, flood prevention, and forecasting.     

流域非闭合特性对岩溶地区水文过程模拟的影响

岩溶地区通常发育有大量岩溶裂隙、管道和洞穴,构成错综复杂的地下输水网络,形成了独特的流域水循环模式。地下岩溶构造的存在会造成地下分水岭与地表分水岭的不重合,流域趋于非闭合状态。为了弄清岩溶流域非闭合特性对水文过程模拟的影响,本文以桂林岩溶地区潮田河(漓江支流)流域为研究区域,采用三水源新安江模型模拟该地区多年降雨径流过程。通过比较几组给定流域面积的模拟结果,分析了流域计算面积选取对潮田河流域水文模拟结果精度的影响,并探讨了流域非闭合特性影响下该地区的水体流动模式。研究结果表明:模型率定时,当流域计算面积由340 km~2变化至460 km~2时,NSE先增大后减小,RE值持续增大,两者在380~390 km~2时可同时达到最优;结合不同时间尺度下径流模拟精度的分析结果,给出了合理的流域计算面积,比基于地表分水岭提取的流域面积约小8.9%~11.2%,故部分水量可能通过地下岩溶构造流向邻近流域。合理的流域计算面积对潮田河流域径流模拟精度提高显著,尤其是提升了枯季径流的模拟。     

Assessing the Hydrological Response of Ayamama Watershed from Urbanization Predicted under Various Landuse Policy Scenarios

This study investigated the effects of urbanization predicted using the SLEUTH urban growth model (an acronym taken from Slope, Landuse, Exclusion, Urban extent, Transportation and Hillshade) under four landuse policy scenarios on the hydrological response of Ayamama watershed using the Hydrologic Engineering Center Release 1 (HEC-1) hydrological model. The SLEUTH model was calibrated based on the Brute Force Monte Carlo iteration technique using the urban extents of Istanbul in 1987, 2000, 2009 and 2013 and was verified by considering Kappa coefficient as evaluation criteria. HEC-1 was calibrated and verified using observed rainfall-runoff event and based on the coefficient of determination (R²), Nash-Sutcliffe coefficient of efficiency (CE) and percentage of bias (PBIAS) as performance indicators. The urbanization prediction results showed that the urban extent of Ayamama watershed would reach 50.3 km², 44 km², 63 km² and 60 km² under Scenarios 1, 2, 3 and 4, respectively, in 2050. The hydrological simulation results under these urban extents showed that the urban extent of Ayamama watershed under Scenario-3, a scenario that allows unrestricted growth with the implementation of Project Canal Istanbul (PCI), resulted in the highest peak discharge and the shortest time to peak. Such an increase in the peak discharge and reduction in the time to peak will increase the risk of flooding and, therefore, extreme care needs to be taken before and during the implementation of PCI.     

Evaluating the SWAT Model for Hydrological Modeling in the Xixian Watershed and a Comparison with the XAJ Model

Already declining water availability in Huaihe River, the 6th largest river in China, is further stressed by climate change and intense human activities. There is a pressing need for a watershed model to better understand the interaction between land use activities and hydrologic processes and to support sustainable water use planning. In this study, we evaluated the performance of SWAT for hydrologic modeling in the Xixian River Basin, located at the headwaters of the Huaihe River, and compared its performance with the Xinanjiang (XAJ) model that has been widely used in China. Due to the lack of publicly available data, emphasis has been put on geospatial data collection and processing, especially on developing land use-land cover maps for the study area based on ground-truth information sampling. Ten-year daily runoff data (1987?C1996) from four stream stations were used to calibrate SWAT and XAJ. Daily runoff data from the same four stations were applied to validate model performance from 1997 to 2005. The results show that both SWAT and XAJ perform well in the Xixian River Basin, with percentage of bias (PBIAS) less than 15%, Nash-Sutcliffe efficiency (NSE) larger than 0.69 and coefficient of determination (R²) larger than 0.72 for both calibration and validation periods at the four stream stations. Both SWAT and XAJ can reasonably simulate surface runoff and baseflow contributions. Comparison between SWAT and XAJ shows that model performances are comparable for hydrologic modeling. For the purposes of flood forecasting and runoff simulation, XAJ requires minimum input data preparation and is preferred to SWAT. The complex, processes-based SWAT can simultaneously simulate water quantity and quality and evaluate the effects of land use change and human activities, which makes it preferable for sustainable water resource management in the Xixian watershed where agricultural activities are intensive.     

怀沙河流域水文情势模拟与分析

怀沙河是北台上水库入库河流,作为北京市应急水源,其水文情势对首都供水保障有重要影响。运用NAM模型构建了怀沙河降雨-径流过程模型,对模型参数进行了率定,模拟结果和实测流量过程能够较好的吻合,模拟精度纳西效率系数为0.642。利用该模型对怀沙河流域局地暴雨洪水过程及洪水的淹没分布情况进行分析后认为,流域出口处的最大流量是30.8m3/s,与西沟水文站观测的最大流量31.0m3/s比较接近。     

基于GPR、CatBoost、XGBoost三种模型预测江西地区水面蒸发量

水面蒸发量是水资源规划与管理、农业灌溉设计和水文模拟等方面的基础数据,它是水量平衡计算中的关键要素。为了提高水面蒸发量的预测精度,选用了3种经验模型和3种学习机模型预测江西地区水面蒸发量,3种学习机模型包括GPR模型、XGBoost模型和CatBoost模型。依据江西地区2001-2015年16个气象站的逐日气象资料,如最高(低)气温、全球太阳辐射、地外太阳辐射、相对湿度和风速,构建10种不同的输入参数,通过对4种统计指标（R²、RMSE、MBE、MAE）的大小进行评估来评价模型的模拟精度。结果表明：当气象资料充足时,推荐CatBoost 10模型为江西地区水面蒸发量的预测模型,该模型在验证期的R²、RMSE、MBE、MAE值分别为0.744、0.842、0.006、0.633 mm/d;在输入组合相同的条件下,3种学习机模型的模拟精度均优于相应的经验模型。通过研究对比提高了江西地区水面蒸发量模型预测的精度。     

对流域水文模型的再认识

讨论了流域水文模型的本质,指出模型只是原型的近似,不可能反映原型的一切特征,尤其像流域降雨径流形成这样复杂的现象。诠释了"分解"与"集成"的科学思维在流域水文模型建模中的作用。认为只有产汇流理论和集成基本水文现象为流域水文模型的方法有所突破,才会有流域水文模型的实质性进步。分析了流域水文模型反问题不适定的原因,提出了直接最优化方法用于解决流域水文模型反问题时应注意的事项,以及用"大数据"方法解决流域水文模型反问题的设想和初步思路。认为随着水文观测手段的进一步精准,"大数据"方法在解决流域水文模型反问题和正问题中均有美好的应用前景。     

基于相似流域法的SWAT模型模拟黄河中游无资料地区径流

选用黄河中游两个小流域,基于相似流域法探求分布式水文模型SWAT在黄河中游小流域无资料地区径流模拟的适用性。通过距离、流域面积相近及属性相似的方法,用已知流域率定参数移植到无资料流域进行径流模拟。选取2009-2013年的日径流与月径流进行模型率定,以效率系数(NS)和决定系数(R2)为评价指标,率定出4个模型敏感系数,并用2014-2016年的日径流与月径流进行模型验证。结果显示:率定期月径流模拟的R2为0. 76,NS为0. 70;日径流模拟的R2为0. 70,NS为0. 64;验证期月径流模拟的R2为0. 82,NS为0. 74;日径流模拟的R2为0. 78,NS为0. 68。说明基于相似流域法的SWAT模型对于无资料的小流域月径流量模拟具有很好的适用性。     

Development and application of GIS based K-DRUM for flood runoff simulation using radar rainfall

The aim of this paper is to develop a physical based distributed runoff model for flood simulation considering spatially and temporally varied rainfall and to evaluate the feasibility of an offline mode under typhoon and convective storm events for Korean watershed. Additionally, an auto-calibration method for initial soil moisture conditions that have an effect on discharge was proposed, and Namgang watershed (2,293 km²) was applied as study site. Distributed rainfall according to grid resolution was generated by using a pre-process program of radar rainfall from the JNI radar. Also, GIS hydrological parameters were extracted from basic GIS data such as DEM, land cover and soil map, and used as input data of the model. The Namgang watershed was divided into square grids of 500 m resolution and calculated by kinematic wave into an outlet through channel networks to evaluate capability of the developed model.     

昆明市松华坝水源区小流域土壤侵蚀分析

以1993-2009年松华坝水源区及昆明市的气象资料、2009年土地利用资料、第二次全国土壤普查资料、水源区牧羊河小流域的径流和泥沙观测资料为基础,用SWAT模型模拟分析了牧羊流域土壤侵蚀的空间差异。结果表明：牧羊河小流域输沙在年际上表现为与年降水量和输沙量峰谷变化具有较好的一致性,在年内表现出,输沙主要集中在6-9月;空间上牧羊河土壤侵蚀模数多年平均值介于21.4~4 586.5 t/(km²·a),且以中轻度为主,土壤侵蚀模数的空间变化与土地利用类型和地形坡度密切相关;土壤侵蚀模数与降水在年际变化上有较好的一致性。这一研究可为水源区土壤侵蚀空间分布的掌握和估算,以及制定有针对性的水土保持措施提供重要的理论依据。     

典型农村小流域磷营养输移模拟研究

磷是湖泊水体富营养化的关键元素之一。农村小流域作为农业生产和生活污水的排放区域,磷的输出过程仍不清晰,难以量化。以直接入巢湖的小流域烔炀河流域为研究对象,结合流域自然汇水特征和行政区划划定了 24 个子流域网格单元,细化建立了以子流域为基本单元、以水量过程为基础驱动的流域磷营养输移数学模型。基于实测流量和自动站总磷浓度的过程对比检验表明,数学模型可以合理地模拟降水驱动下的小流域水量和磷营养变化过程,为量化流域磷营养的输出负荷、明确其关键来源和路径提供了科学工具。     

Hydrological Simulation in a Forest Dominated Watershed in Himalayan Region using SWAT Model

The present study is taken up to test the suitability of SWAT (Soil and Water Assessment Tool) model for estimation of runoff and to understand sensitiveness of model input parameters in a predominantly forested watershed in Kumaun region of Himalaya. The study area Dabka is a small watershed (69.41 km²) lies in North West of Nainital in Uttarakhand. The SWAT is calibrated at an upstream intermediate gauging site Bagjhala draining approximately an area of 65.78 km² on monthly basis due to non-availability of observed data at main outlet. A local sensitivity analysis is performed on 13 input variables in terms of model outputs such as water yield, surface runoff and baseflow to gain in depth understanding of the role of different model parameters for their proper selection. The study concluded that model performed well with Root Mean Square Error (RMSE) value 0.242 for calibration and 0.81 for validation. Nash Sutcliffe Efficiency (NSE) for calibration and validation period is obtained as 0.77 and 0.73 respectively whereas Coefficient of determination (R²) for calibration and validation period is 0.86 and 0.90 indicating good model performance. The most sensitive model parameters affecting water yield are CN2, GWQMN and SOL_Z. On the basis of sensitiveness of model parameters, the ranking of most sensitive parameters from highest sensitive to relatively lesser sensitiveness on stream flow are CN2, SOL_K and SOL_AWC whereas for base flow SOL_AWC, SOL_Z and GWQMN are found to be more sensitive followed by CN2, ESCO and SOL_K.     

Trivariate Frequency Analyses of Peak Discharge,Hydrograph Volume and Suspended Sediment Concentration Data Using Copulas

Copula functions are often used for multivariate frequency analyses, but discharge and suspended sediment concentrations have not yet been modelled together with the use of 3-dimensional copula functions. One hydrological station from Slovenia and five stations from USA with watershed areas from 920 km² to 24,996 km² were used for trivariate frequency analyses of peak discharges, hydrograph volumes and suspended sediment concentrations. Different parametric marginal distributions were applied and parameters were estimated with the method of L-moments. Maximum pseudo-likelihood method was used for copula parameters estimation. With the use of statistical and graphical tests we selected the most appropriate copula model. Symmetric and asymmetric versions of Archimedean copulas were applied according to the dependence characteristics of the individual stations. We selected Gumbel-Hougaard copula as the most appropriate model for all discussed stations. Primary joint return periods OR and secondary Kendall’s return periods were calculated and comparison between selected copula functions was made. We can conclude that copula functions are useful mathematical tool, which can also be used for modelling variables that are presented in this paper.     

小流域暴雨山洪水文模型与水动力学方法计算比较分析

针对小流域暴雨山洪精细模拟问题,提出了小流域时空变源混合产流模型,以小流域为单元构建了暴雨山洪分布式模拟模型,开发了可视化时空变源分布式水文模型软件FFMS和水动力学计算软件FHMS。以宝盖寺小流域场次暴雨洪水计算为例,分别采用水文学和水动力学方法计算了小流域暴雨山洪过程,并分析了两种方法的计算精度、效率、实用性等。案例研究结果表明:(1)水文与水动力学方法均可实现小流域暴雨山洪的模拟,模拟结果与实测基本一致;(2)对于无资料小流域暴雨洪水计算,水文学建模速度快,计算效率更高,水动力学方法建模和计算效率更低;(3)在复杂地形条件下暴雨洪水形成机理、演进过程模拟方面,水动力学计算结果更加精细和准确;在山区中小流域洪水预报预警方面,水文学方法更加实用。     

Automatic Calibration of the SHETRAN Hydrological Modelling System Using MSCE

Automatic calibration is preferred because it provides an objective and extensive searching in the feasible parameter space. In this study, the Modified Shuffled Complex Evolution (MSCE) optimization algorithm is applied to automatically calibrate the physically-based spatially-distributed hydrological model SHETRAN in the 705-km² semi-arid Cobres basin in southern Portugal, with a spatial resolution of 2 km and a temporal resolution of 1 h. Twenty-two parameters are calibrated for the main types of land-use and soil. Nash-Sutcliffe Efficiency (NSE) is 0.86 for calibration and 0.74 for validation for basin outlet; NSE is respectively 0.65 and 0.82 for calibration, 0.69 and 0.63 for validation of internal gauging stations Albernoa and Entradas. As for storm events, NSE is 0.87 and 0.64 respectively for Storms No.1 (during the calibration period) and No.4 (during the validation period) at basin outlet; it is 0.69 and 0.65 for Storm No.4 respectively at Albernoa and Entradas. The results are satisfactory not only for basin outlet but also for internal gauging stations.     

WASMOD水文模拟残差统计特征检验

针对采用普通最小二乘法对水文模型进行参数估计时,模型残差需满足一定的内在统计假定的要求,分别选用Levene检验、Kolmogorov-Smirnov检验和残差自相关系数图等方法对水量平衡模型WASMOD的模型残差的同方差性、正态性以及相互独立性等统计假定进行了检验。结果表明:当对原始数据未经变换而直接采用普通最小二乘法进行参数估计时,得到的模型残差满足相互独立假定,但并不满足同方差性和正态性假定;对原始流量数据进行开根号变换,可以很好地解决模型残差的异方差性和非正态性问题。在模型残差统计假定得以满足的条件下,在月时间尺度上WASMOD模型可以为莺落峡流域的流量模拟与预报提供良好的工具。     

Estimation of Design Flood Hydrograph for an Ungauged Watershed

Based on the physiographical features of the studied watershed of 102.5 km² in northern Ontario and the meteorological data of one nearby climatic station, through the combination of the regionalization of flood and the HEC-1 modeling, this article presents an approach that may be used to determine the desired peak flows for the ungauged watershed. The empirical equations used to determine the desired peak flows were developed by the Cumming Cockburn Ltd. (CCL) who has carried out the studies on flood regionalization by using flow data at 380 gauging stations in Ontario. CCL has proposed four methods to estimate peak flows, namely 1) regression method describing multiple linear relationships between flood flow and related parameters; 2) index flood frequency curve; 3) regional flood frequency curve and 4) isoline map for unit peak flow. The desired peak flows for studied watershed determined by CCL methods were used to calibrate the HEC-1 model for the rainfall-runoff simulation for this watershed which consists of 15 subwatersheds. Through slight adjustment in the CN number used in the HEC-1 model, the calibrated HEC-1 model could be used for rainfall-runoff simulation for this ungauged watershed. This approach could be recommended for hydrological design and watershed management for ungauged watersheds provided the analyses of flood regionalization could be conducted. In addition, comparing to the Bavaria forest region, Germany, some questions have been discussed in this article.