Integrated numerical model for irrigated area water resources management

2019 ◽  
Vol 11 (4) ◽  
pp. 980-991 ◽  
Author(s):  
Aidi Huo ◽  
Xiaofan Wang ◽  
Yan Liang ◽  
Cheng Jiang ◽  
Xiaolu Zheng
Keyword(s):  
River Basin ◽  
Water Resource Management ◽  
Assessment Tool ◽  
Swat Model ◽  
Hydrologic Model ◽  
Heihe River Basin ◽  
Irrigation District ◽  
Heihe River ◽  
Model Parameters ◽  
Long Term Effects

Abstract The likelihood of future global water shortages is increasing and further development of existing operational hydrologic models is needed to maintain sustainable development of the ecological environment and human health. In order to quantitatively describe the water balance factors and transformation relations, the objective of this article is to develop a distributed hydrologic model that is capable of simulating the surface water (SW) and groundwater (GW) in irrigation areas. The model can be used as a tool for evaluating the long-term effects of water resource management. By coupling the Soil and Water Assessment Tool (SWAT) and MODFLOW models, a comprehensive hydrological model integrating SW and GW is constructed. The hydrologic response units for the SWAT model are exchanged with cells in the MODFLOW model. Taking the Heihe River Basin as the study area, 10 years of historical data are used to conduct an extensive sensitivity analysis on model parameters. The developed model is run for a 40-year prediction period. The application of the developed coupling model shows that since the construction of the Heihe reservoir, the average GW level in the study area has declined by 6.05 m. The model can accurately simulate and predict the dynamic changes in SW and GW in the downstream irrigation area of Heihe River Basin and provide a scientific basis for water management in an irrigation district.

scholarly journals The China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) Application in China: A Case Study in Heihe River Basin

2017 ◽  
Author(s):  
Xian-yong Meng ◽  
Hao Wang ◽  
Si-yu Cai ◽  
Xue-song Zhang ◽  
Guo-yong Leng ◽  
...  
Keyword(s):  
River Basin ◽  
Large Scale ◽  
Hydrologic Modeling ◽  
Hydrological Modeling ◽  
Assessment Tool ◽  
Swat Model ◽  
Heihe River Basin ◽  
Heihe River ◽  
Climate Data ◽  
Weather Stations

Large-scale hydrological modeling in China is challenging given the sparse meteorological stations and large uncertainties associated with atmospheric forcing data.Here we introduce the development and use of the China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) in the Heihe River Basin(HRB) for improving hydrologic modeling, by leveraging the datasets from the China Meteorological Administration Land Data Assimilation System (CLDAS)(including climate data from nearly 40000 area encryption stations, 2700 national automatic weather stations, FengYun (FY) 2 satellite and radar stations). CMADS uses the Space Time Multiscale Analysis System (STMAS) to fuse data based on ECWMF ambient field and ensure data accuracy. In addition, compared with CLDAS, CMADS includes relative humidity and climate data of varied resolutions to drive hydrological models such as the Soil and Water Assessment Tool (SWAT) model. Here, we compared climate data from CMADS, Climate Forecast System Reanalysis (CFSR) and traditional weather station (TWS) climate forcing data and evaluatedtheir applicability for driving large scale hydrologic modeling with SWAT. In general, CMADS has higher accuracy than CFRS when evaluated against observations at TWS; CMADS also provides spatially continuous climate field to drive distributed hydrologic models, which is an important advantage over TWS climate data, particular in regions with sparse weather stations. Therefore, SWAT model simulations driven with CMADS and TWS achieved similar performances in terms of monthly and daily stream flow simulations, and both of them outperformed CFRS. For example, for the three hydrological stations (Ying Luoxia, Qilian Mountain, and ZhaMasheke) in the HRB at the monthly and daily Nash-Sutcliffe efficiency ranges of 0.75-0.95 and 0.58-0.78, respectively, which are much higher than corresponding efficiency statistics achieved with CFSR (monthly: 0.32-0.49 and daily: 0.26 – 0.45). The CMADS dataset is available free of charge and is expected to a valuable addition to the existing climate reanalysis datasets for deriving distributed hydrologic modeling in China and other countries in East Asia.

Study on Hydrological Simulation of Jin River Based on SWAT-X Model

2011 ◽  
Vol 84-85 ◽  
pp. 238-243
Author(s):  
Yu Jie Fang ◽  
Wen Bin Zhou ◽  
Ding Gui Luo
Keyword(s):  
River Basin ◽  
Assessment Tool ◽  
Swat Model ◽  
Model Parameters ◽  
Parameter Sensitivity Analysis ◽  
Hydrological Simulation ◽  
Resources Management ◽  
Using Data ◽  
Sensitive Parameters ◽  
Water Assessment

Hydrological simulation is the basis of water resources management and utilization. In this study, Soil and Water Assessment Tool (SWAT) model was applied to Jin River Basin for hydrological simulation on ArcView3.3 platform. The basic database of Jin river Basin was built using ArcGis9.2. Based on the LH-OAT parameter sensitivity analysis, the sensitive parameters of runoff were identified, including CN2, Gwqmn, rchrg_dp, ESCO, sol_z, SLOPE, SOL_AWC, sol_k, Gwrevap, and then model parameters related to runoff were calibrated and validated using data observed in weifang, yifeng, shanggao and gaoan hydrological stations during 2001-2008. The simulation showed that the simulated values were reasonably comparable to the observed data (Re<20%, R2 >0.7 and Nash-suttcliffe > 0.7), suggesting the validity of SWAT model in Jin River Basin.

scholarly journals Identification of Water Scarcity and Providing Solutions for Adapting to Climate Changes in the Heihe River Basin of China

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Xiangzheng Deng ◽  
Chunhong Zhao
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Water Resource ◽  
Water Scarcity ◽  
Water Resource Management ◽  
Optimal Allocation ◽  
Water Productivity ◽  
Heihe River Basin ◽  
Heihe River ◽  
The Heihe River Basin

In ecologically fragile areas with arid climate, such as the Heihe River Basin in northwestern China, sustainable social and economic development depends largely on the availability and sustainable uses of water resource. However, there is more and more serious water resource shortage and decrease of water productivity in Heihe River Basin under the influence of climate change and human activities. This paper attempts to identify the severe water scarcity under climate change and presents possible solutions for sustainable development in Heihe River Basin. Three problems that intervened land use changes, water resource, the relevant policies and institutions in Heihe River basin were identified, including (1) water scarcity along with serious contradiction between water supply and demand, (2) irrational water consumption structure along with low efficiency, and (3) deficient systems and institutions of water resource management along with unreasonable water allocation scheme. In this sense, we focused on reviewing the state of knowledge, institutions, and successful practices to cope with water scarcity at a regional extent. Possible solutions for dealing with water scarcity are explored and presented from three perspectives: (1) scientific researches needed by scientists, (2) management and institution formulation needed by governments, and (3) water resource optimal allocation by the manager at all administrative levels.

scholarly journals Sensitivity and uncertainty analysis of the Variable Infiltration Capacity model in the upstream of Heihe River basin

2015 ◽  
Vol 368 ◽  
pp. 312-316
Author(s):  
R. He ◽  
B. Pang
Keyword(s):  
River Basin ◽  
Soil Layer ◽  
Heihe River Basin ◽  
Heihe River ◽  
Model Parameters ◽  
Variable Infiltration Capacity ◽  
Infiltration Capacity ◽  
The Third ◽  
Variable Infiltration Capacity Model ◽  
Capacity Model

Abstract. The increasing water problems and eco-environmental issues of Heihe River basin have attracted widespread attention. In this research, the VIC (Variable Infiltration Capacity) model was selected to simulate the water cycle of the upstream in Heihe River basin. The GLUE (Generalized Likelihood Uncertainty Estimation) method was used to study the sensitivity of the model parameters and the uncertainty of model outputs. The results showed that the Nash-Sutcliffe efficient coefficient was 0.62 in the calibration period and 0.64 in the validation period. Of the seven elected parameters, Dm (maximum baseflow that can occur from the third soil layer), Ws (fraction of the maximum soil moisture of the third soil layer where non-linear baseflow occurs), and d1 (soil depth of the first soil layer), were very sensitive, especially d1. Observed discharges were almost in the range of the 95% predicted confidence range.

scholarly journals Quantification of the impacts of climate change and human agricultural activities on oasis water requirements in an arid region: a case study of the Heihe River basin, China

2018 ◽  
Vol 9 (1) ◽  
pp. 211-225 ◽  
Author(s):  
Xingran Liu ◽  
Yanjun Shen
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Water Resource Management ◽  
Arid Regions ◽  
Agricultural Development ◽  
Water Requirement ◽  
Heihe River Basin ◽  
Heihe River ◽  
Agricultural Activities ◽  
Water Requirements

Abstract. Ecological deterioration in arid regions caused by agricultural development has become a global issue. Understanding water requirements of the oasis ecosystems and the influences of human agricultural activities and climate change is important for the sustainable development of oasis ecosystems and water resource management in arid regions. In this study, water requirements of the main oasis in Heihe River basin during 1986–2013 were analyzed and the amount showed a sharp increase from 10.8 × 108 m3 in 1986 to 19.0 × 108 m3 in 2013. Both human agricultural activities and climate change could lead to the increase in water requirement. To quantify the contributions of agricultural activities and climate change to the increase in water requirements, partial derivative and slope method were used. Results showed that climate change and human agricultural activities, such as oasis expansion and changes in land cropping structure, has contributed to the increase in water requirement at rates of 6.9, 58.1, and 25.3 %, respectively. Overall, human agricultural activities were the dominant forces driving the increase in water requirement. In addition, the contribution of oasis expanding to the increased water requirement was significantly greater than that of other concerned variables. This reveals that controlling the oasis scale is extremely important and effective for balancing water for agriculture and ecosystems and to achieving a sustainable oasis development in arid regions.

scholarly journals Comparison of two different approaches for sensitivity analysis in Heihe River basin (China)

2019 ◽  
Vol 20 (1) ◽  
pp. 319-327 ◽  
Author(s):  
Aidi Huo ◽  
Zhikai Huang ◽  
Yuxiang Cheng ◽  
Michael W. Van Liew
Keyword(s):  
Sensitivity Analysis ◽  
River Basin ◽  
Assessment Tool ◽  
Calibration Procedure ◽  
Heihe River Basin ◽  
Heihe River ◽  
Efficiency Coefficient ◽  
Flexible Tool ◽  
Shuffled Complex Evolution ◽  
The Heihe River Basin

Abstract Distributed watershed models should pass through a careful sensitivity analysis and calibration procedure before they are utilized as a decision making aid in the planning and management of water resources. Although manual approaches are still frequently used for sensitivity and calibration, they are tedious, time consuming, and require experienced personnel. This paper describes two typical and effective automatic approaches for sensitivity analysis and calibration for the Soil and Water Assessment Tool (SWAT). These included the Sequential Uncertainty Fitting (SUFI-2) algorithm and Shuffled Complex Evolution (SCE-UA) algorithm. The results show the following. (1) The main factor that influences the simulated accuracy of the Heihe River basin runoff is the Soil Conservation Service (SCS) runoff curve parameters. (2) SWAT performed very well in the Heihe River basin. According to the observed runoff data from 2005 to 2013, the determination coefficient R2 of the simulation and the efficiency coefficient (Ens) of the model was higher than 0.8. (3) Compared with the Shuffled Complex Evolution, the SUFI-2 algorithm provides almost the same overall ranking of the sensitive parameters, but it is found to require less time with higher accuracy. The SUFI-2 provides a practical and flexible tool to attain reliable deterministic simulation and uncertainty analysis of SWAT, it can lead to a better understanding and to better estimated values and thus reduced uncertainty.

scholarly journals Hydrological modeling as a tool for water resources management of the data-scarce Brahmaputra basin

2020 ◽  
Author(s):  
Pulendra Dutta ◽  
Arup Kumar Sarma
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Hydrological Modeling ◽  
Assessment Tool ◽  
Swat Model ◽  
Fair Value ◽  
Hydrologic Model ◽  
Statistical Parameters ◽  
Brahmaputra River ◽  
Brahmaputra Basin

Abstract A robust hydrological assessment is a challenging task in regions of limited hydro-climatological information. This level of uncertainty is further augmented in studies of flood hydrology for regions like the Brahmaputra River basin, where spatial variations of topography, land use, soil, and weather components are very high. The present study describes the development of a suitable hydrologic model for the data-scarce transboundary Brahmaputra River basin occupying an area of more than 5,42,000 km2. The main objective is to provide hydrologic assessment of the Brahmaputra River basin, even at locations having hardly any historical records. The Soil and Water Assessment Tool (SWAT) model is calibrated and validated using observed discharge of three sections located on the main stem. The results show a fair strength of the statistical parameters. Moreover, the model has been found to produce a satisfactory replica of historical flows at the tributaries with a fair value of correlation (R2 = 0.77) at Golaghat. The results of this model would facilitate the ability of the local authorities with science-based elements to carry out decisions on the management of water resources at the main basin, and even at the sub-basin level.

scholarly journals Applicability of the swat model for hydrologic simulation in Paraopeba River basin, MG

CERNE ◽  
2011 ◽  
Vol 17 (4) ◽  
pp. 481-488 ◽  
Author(s):  
Matheus Fonseca Durães ◽  
Carlos Rogério de Mello ◽  
Mauro Naghettini
Keyword(s):  
Land Use ◽  
River Basin ◽  
Assessment Tool ◽  
Swat Model ◽  
Peak Discharge ◽  
Partial Report ◽  
Model Parameters ◽  
Hydrologic Simulation ◽  
Management Actions ◽  
Land Use Scenario

The SWAT model (Soil and Water Assessment Tool) was applied for simulating the hydrologic pattern of Paraopeba river basin, in Minas Gerais state, under different land use and occupation scenarios, looking to support basin management actions. The model parameters were calibrated and validated, with respect to the data observed from 1983 to 2005. The basin was assessed at the 'Porto do Mesquita' gauging station and change in land use and occupation was based on the annual growth scenarios proposed in the partial report of Paraopeba basin's master plan. The model was found to be highly sensitive to baseflow, its main calibration variable. Statistical analyses produced a Nash-Sutcliffe coefficient above 0.75, which is considered good and acceptable. The SWAT model provided satisfactory results in simulating hydrologic pattern under different scenarios of land use change, demonstrating that it can be applied for forecasting discharge in the aforesaid basin. The current land use scenario provided a peak discharge simulation of 1250 m³ s-1, while in years 2019 and 2029 peak discharge simulations were 1190 m³ s-1 and 1230 m³ s-1 respectively. The 2019 scenario provided the best results with respect to baseflow increase and peak discharge reduction.

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