scholarly journals PCR-GLOBWB 2: a 5 arc-minute global hydrological and water resources model

2017 ◽  
Author(s):  
Edwin H. Sutanudjaja ◽  
Rens van Beek ◽  
Niko Wanders ◽  
Yoshihide Wada ◽  
Joyce H. C. Bosmans ◽  
...  
Keyword(s):  
Surface Water ◽  
Water Resources ◽  
Model Performance ◽  
Water Withdrawal ◽  
Groundwater Depletion ◽  
Time Step ◽  
Discharge Data ◽  
Source Codes ◽  
Model Components ◽  
Main Components

Abstract. We present PCR-GLOBWB 2, a global hydrology and water resources model. Compared to previous versions of PCR-GLOBWB, this version fully integrates water use. Sector-specific water demand, groundwater and surface water withdrawal, water consumption and return flows are dynamically calculated at every time step and interact directly with the simulated hydrology. PCR-GLOBWB 2 has been fully rewritten in Python and PCRaster-Python and has a modular structure, allowing easier replacement, maintenance, and development of model components. PCR-GLOBWB 2 has been implemented at 5 arc-minute resolution, but a version parameterized at 30 arc-minute resolution is also available. Both versions are available as open source codes on https://github.com/UU-Hydro/PCR-GLOBWB_model. PCR-GLOBWB 2 has its own routines for groundwater dynamics and surface water routing. These relatively simple routines can alternatively be replaced by dynamically coupling PCR-GLOBWB 2 to a global two-layer groundwater model and 1D-2D-hydrodynamic models, respectively. Here, we describe the main components of the model, compare results of the 30 arcminute and the 5 arc-minute versions and evaluate their model performance using GRDC discharge data. Results show that model performance of the 5 arc-minute version is notably better than that of the 30 arc-minute version. Furthermore, we compare simulated time series of total water storage (TWS) of the 5 arc-minute model with those observed with GRACE, showing similar negative trends in areas of prevalent groundwater depletion. Also, we find that simulated water withdrawal, by source and sector, matches reasonably well with reported water withdrawal from AQUASTAT.

scholarly journals PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model

2018 ◽  
Vol 11 (6) ◽  
pp. 2429-2453 ◽  
Author(s):  
Edwin H. Sutanudjaja ◽  
Rens van Beek ◽  
Niko Wanders ◽  
Yoshihide Wada ◽  
Joyce H. C. Bosmans ◽  
...  
Keyword(s):  
Surface Water ◽  
Water Resources ◽  
Model Performance ◽  
Water Withdrawal ◽  
Groundwater Depletion ◽  
Total Water ◽  
Time Step ◽  
Discharge Data ◽  
Source Codes ◽  
Model Components

Abstract. We present PCR-GLOBWB 2, a global hydrology and water resources model. Compared to previous versions of PCR-GLOBWB, this version fully integrates water use. Sector-specific water demand, groundwater and surface water withdrawal, water consumption, and return flows are dynamically calculated at every time step and interact directly with the simulated hydrology. PCR-GLOBWB 2 has been fully rewritten in Python and PCRaster Python and has a modular structure, allowing easier replacement, maintenance, and development of model components. PCR-GLOBWB 2 has been implemented at 5 arcmin resolution, but a version parameterized at 30 arcmin resolution is also available. Both versions are available as open-source codes on https://github.com/UU-Hydro/PCR-GLOBWB_model (Sutanudjaja et al., 2017a). PCR-GLOBWB 2 has its own routines for groundwater dynamics and surface water routing. These relatively simple routines can alternatively be replaced by dynamically coupling PCR-GLOBWB 2 to a global two-layer groundwater model and 1-D–2-D hydrodynamic models. Here, we describe the main components of the model, compare results of the 30 and 5 arcmin versions, and evaluate their model performance using Global Runoff Data Centre discharge data. Results show that model performance of the 5 arcmin version is notably better than that of the 30 arcmin version. Furthermore, we compare simulated time series of total water storage (TWS) of the 5 arcmin model with those observed with GRACE, showing similar negative trends in areas of prevalent groundwater depletion. Also, we find that simulated total water withdrawal matches reasonably well with reported water withdrawal from AQUASTAT, while water withdrawal by source and sector provide mixed results.

scholarly journals Analyzing catchment behavior through catchment modeling in the Gilgel Abay, Upper Blue Nile River Basin, Ethiopia

2010 ◽  
Vol 14 (10) ◽  
pp. 2153-2165 ◽  
Author(s):  
S. Uhlenbrook ◽  
Y. Mohamed ◽  
A. S. Gragne
Keyword(s):  
Water Resources ◽  
Model Performance ◽  
Computation Time ◽  
Hydrological Processes ◽  
Runoff Generation ◽  
Time Step ◽  
Blue Nile ◽  
Model Transferability ◽  
Catchment Modeling ◽  
Data Limitations

Abstract. Understanding catchment hydrological processes is essential for water resources management, in particular in data scarce regions. The Gilgel Abay catchment (a major tributary into Lake Tana, source of the Blue Nile) is undergoing intensive plans for water management, which is part of larger development plans in the Blue Nile basin in Ethiopia. To obtain a better understanding of the water balance dynamics and runoff generation mechanisms and to evaluate model transferability, catchment modeling has been conducted using the conceptual hydrological model HBV. Accordingly, the catchment of the Gilgel Abay has been divided into two gauged sub-catchments (Upper Gilgel Abay and Koga) and the un-gauged part of the catchment. All available data sets were tested for stationarity, consistency and homogeneity and the data limitations (quality and quantity) are discussed. Manual calibration of the daily models for three different catchment representations, i.e. (i) lumped, (ii) lumped with multiple vegetation zones, and (iii) semi-distributed with multiple vegetation and elevation zones, showed good to satisfactory model performances with Nash-Sutcliffe efficiencies Reff > 0.75 and > 0.6 for the Upper Gilgel Abay and Koga sub-catchments, respectively. Better model results could not be obtained with manual calibration, very likely due to the limited data quality and model insufficiencies. Increasing the computation time step to 15 and 30 days improved the model performance in both sub-catchments to Reff > 0.8. Model parameter transferability tests have been conducted by interchanging parameters sets between the two gauged sub-catchments. Results showed poor performances for the daily models (0.30 < Reff < 0.67), but better performances for the 15 and 30 days models, Reff > 0.80. The transferability tests together with a sensitivity analysis using Monte Carlo simulations (more than 1 million model runs per catchment representation) explained the different hydrologic responses of the two sub-catchments, which seems to be mainly caused by the presence of dambos in Koga sub-catchment. It is concluded that daily model transferability is not feasible, while it can produce acceptable results for the 15 and 30 days models. This is very useful for water resources planning and management, but not sufficient to capture detailed hydrological processes in an ungauged area.

scholarly journals DETERMINATION OF FACTORS OF FORMATION OF QUALITATIVE COMPOSITION OF SURFACE WATER OBJECTS BY THE METHOD OF MAIN COMPONENTS (ON THE EXAMPLE OF RIVERS OF THE DNIEPER BASIN)

2021 ◽  
pp. 31-35
Author(s):  
Roman Ponomarenko ◽  
Leonid Plyatsuk ◽  
Josef Zat’ko
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Resources ◽  
River Runoff ◽  
Water Bodies ◽  
State Agency ◽  
Local Conditions ◽  
Surface Water Bodies ◽  
Main Components

The article analyzes the water quality of surface water bodies (on the example of rivers of the Dnieper basin) by the method of main components, identifies and interprets the main factors that form long-term variability of water quality of surface water bodies and make different contributions to the total variance. The research was carried out according to the samples of control water intake of the Dnieper River within the Basin Water Resources Management at 12 posts, for the period from 2011 to 2020. The leading factors were identified: plant and animal organisms (12…39 %), leaching of Fe- and Cu-containing minerals (10…29 %). The article shows that in the formation of the chemical composition of the water of the rivers of the studied region is determined by the factor of ion from the rocks on which the formation of the catchment. A factor characterizing the local conditions of river runoff formation has been identified - the process of groundwater discharge, which is manifested in changes in the concentrations of silicon and nitrates. In addition, a negative dependence of changes in the content of silicon ions and nitrates on temperature. The originality of the study is based on an integrated approach, which includes research based on available data in the State Agency of Water Resources of Ukraine, which takes into account the principles of biodiversity conservation, sustainable use of water resources, river management and basins, monitoring and evaluation of their status. In the future, the proposed approach may be the subject of research in the direction of establishing factors that characterize the local conditions of formation of river runoff, including taking into account the man-made load on it.

Single-objective vs. multi-objective autocalibration in modelling total suspended solids and phosphorus in a small agricultural watershed with SWAT

2012 ◽  
Vol 65 (4) ◽  
pp. 643-652 ◽  
Author(s):  
Santatriniaina Denise Rasolomanana ◽  
Paul Lessard ◽  
Peter A. Vanrolleghem
Keyword(s):  
Suspended Solids ◽  
Assessment Tool ◽  
Model Performance ◽  
Total Suspended Solids ◽  
Agricultural Watershed ◽  
Time Step ◽  
Multi Objective ◽  
Shuffled Complex Evolution ◽  
Model Components ◽  
Single Objective

To obtain greater precision in modelling small agricultural watersheds, a shorter simulation time step is beneficial. A daily time step better represents the dynamics of pollutants in the river and provides more realistic simulation results. However, with a daily evaluation performance, good fits are rarely obtained. With the Shuffled Complex Evolution (SCE) method embedded in the Soil and Water Assessment Tool (SWAT), two calibration approaches are available, single-objective or multi-objective optimization. The goal of the present study is to evaluate which approach can improve the daily performance with SWAT, in modelling flow (Q), total suspended solids (TSS) and total phosphorus (TP). The influence of weights assigned to the different variables included in the objective function has also been tested. The results showed that: (i) the model performance depends not only on the choice of calibration approach, but essentially on the influential parameters; (ii) the multi-objective calibration estimating at once all parameters related to all measured variables is the best approach to model Q, TSS and TP; (iii) changing weights does not improve model performance; and (iv) with a single-objective optimization, an excellent water quality modelling performance may hide a loss of performance of predicting flows and unbalanced internal model components.

Water Conservation in Conditions of Water Withdrawal from Surface Water Sources

2018 ◽  
Vol 769 ◽  
pp. 377-382
Author(s):  
Alexander Strelkov ◽  
Svetlana Teplykh ◽  
Pavel Gorshkalev ◽  
Anastasia Bystranova
Keyword(s):  
Surface Water ◽  
Water Resources ◽  
Water Conservation ◽  
Fish Fauna ◽  
Water Sources ◽  
Real Object ◽  
Water Withdrawal ◽  
Fish Stock ◽  
Biological Water ◽  
Current State

The paper aims to assess fish fauna current state and water withdrawal impact on biological water resources. It also describes a plan of fish stock restoration designed for a certain real object to compensate for the damage caused and analyses results of its implementations.

scholarly journals Optimasi Sumberdaya Air dengan Program Linear (Linear Programming) di DAS Cicatih, Kabupaten Sukabumi, Jawa Barat

2020 ◽  
Vol 7 (3) ◽  
pp. 179-184
Author(s):  
Roh Santoso Budi Waspodo ◽  
Siti Komariah ◽  
Vita Ayu Kusuma Dewi
Keyword(s):  
Linear Programming ◽  
Surface Water ◽  
Water Resources ◽  
Water Supply ◽  
Water Potential ◽  
Watershed Management ◽  
Water Allocation ◽  
Discharge Data ◽  
Irrigation Area ◽  
The Cost

The used of water in Indonesia for various using disposed exceed water supply. One of the efforts to optimize limited water resources is optimimation watershed management with linear programming. Identification of surface water potential in Cicatih watershed, especially in sub-watershed of upper Cicatih, Cibojong river, estimate using GR4J model. This research using discharge data from PLTA Ubrug. Springwater identified based on data from DISTAMBEN. The observation discharge average in Cibojong river was 246 l/s/day and based on GR4J model was 2752 l/s/day. Avaiable discharge was 56241 l/s/day. Grow of the population estimated by exponent method, industry and irrigation area with regression linear. Software Lingo 8.0 was used to help optimize of wáter resources in Cicatih watershed. Based on the result, in 2025, 12 industries and 15784 ha area get the wáter allocation from surface water. About 1083817 people and 75402 ha area get from springwáter. The cost to access surface wáter is higher than in other sectors. It causes the industry to gets an allocation from surface wáter.

scholarly journals Simulating human impacts on global water resources using VIC-5

2020 ◽  
Vol 13 (10) ◽  
pp. 5029-5052
Author(s):  
Bram Droppers ◽  
Wietse H. P. Franssen ◽  
Michelle T. H. van Vliet ◽  
Bart Nijssen ◽  
Fulco Ludwig
Keyword(s):  
Water Resources ◽  
Human Impacts ◽  
Anthropogenic Impacts ◽  
Environmental Flow ◽  
Water Withdrawal ◽  
Groundwater Depletion ◽  
Vic Model ◽  
Water Withdrawals ◽  
Surface And Groundwater ◽  
Global Water

Abstract. Questions related to historical and future water resources and scarcity have been addressed by several macroscale hydrological models. One of these models is the Variable Infiltration Capacity (VIC) model. However, further model developments were needed to holistically assess anthropogenic impacts on global water resources using VIC. Our study developed VIC-WUR, which extends the VIC model using (1) integrated routing, (2) surface and groundwater use for various sectors (irrigation, domestic, industrial, energy, and livestock), (3) environmental flow requirements for both surface and groundwater systems, and (4) dam operation. Global gridded datasets on sectoral demands were developed separately and used as an input for the VIC-WUR model. Simulated national water withdrawals were in line with reported Food and Agriculture Organization (FAO) national annual withdrawals (adjusted R2 > 0.8), both per sector and per source. However, trends in time for domestic and industrial water withdrawal were mixed compared with previous studies. Gravity Recovery and Climate Experiment (GRACE) monthly terrestrial water storage anomalies were well represented (global mean root-mean-squared error, RMSE, values of 1.9 and 3.5 mm for annual and interannual anomalies respectively), whereas groundwater depletion trends were overestimated. The implemented anthropogenic impact modules increased simulated streamflow performance for 370 of the 462 anthropogenically impacted Global Runoff Data Centre (GRDC) monitoring stations, mostly due to the effects of reservoir operation. An assessment of environmental flow requirements indicates that global water withdrawals have to be severely limited (by 39 %) to protect aquatic ecosystems, especially with respect to groundwater withdrawals. VIC-WUR has potential for studying the impacts of climate change and anthropogenic developments on current and future water resources and sector-specific water scarcity. The additions presented here make the VIC model more suited for fully integrated worldwide water resource assessments.

scholarly journals Simulating surface flow and baseflow in Poko catchment, Kon Tum province, Vietnam

2018 ◽  
Vol 10 (3) ◽  
pp. 494-503
Author(s):  
Vo Ngoc Quynh Tram ◽  
Nguyen Duy Liem ◽  
Nguyen Kim Loi
Keyword(s):  
Water Resources ◽  
Water Discharge ◽  
Swat Model ◽  
Surface Flow ◽  
Time Step ◽  
Filter Parameter ◽  
Discharge Data ◽  
Filtering Algorithm ◽  
Statistical Measures ◽  
Central Highland

Abstract Estimating the volume of water resources has important significance in assessing water availability in a basin, particularly in mountainous areas. The Poko catchment, a sub-basin of Se San river basin, is located in the Central Highland of Vietnam with an area of about 3,210 km2. This study focused on evaluating the performance of SWAT model and baseflow filtering algorithm in simulating surface flow and baseflow in Poko catchment. The model was calibrated and validated for the period 1996–2004 and 2005–2013, respectively, using the observed water discharge data at Dak Mot stream gauge. Statistical measures including R2 (coefficient of determination), NSI (Nash–Sutcliffe index), and PBIAS (percent bias) indicated good performance of the model in simulating water discharge on monthly time step during the calibration and validation period. Using baseflow filtering algorithm with filter parameter (0.925), surface flow and baseflow were separated from water discharge. The results demonstrated good performance in capturing the patterns of surface flow and baseflow, which confirmed the appropriateness of the model for future scenario simulation. These findings provide useful information for water resources planning in Poko catchment, in particular, and other basins, which have a hydro-meteorological response similar to this catchment, in general.

Streamflow Depletion

High and Dry ◽  
2017 ◽  
Author(s):  
William M. Alley ◽  
Rosemarie Alley
Keyword(s):  
Surface Water ◽  
Water Resources ◽  
Groundwater Depletion ◽  
Conjunctive Management ◽  
Delayed Effects ◽  
South Platte River ◽  
Surface Water Resources ◽  
Platte River Basin ◽  
South Platte River Basin ◽  
Streamflow Depletion

Much of the book’s discussion thus far has focused on groundwater depletion. However, as wells continue to pump, the source of water increasingly comes from surface water. This chapter examines how depletion of even a small part of groundwater storage can have large impacts on surface-water resources. Yet despite this critical connection, different laws govern surface water and groundwater. Solving this complex water resource relationship also involves accounting for the delayed effects of pumping on surface-water resources. The ongoing challenges for conjunctive management are illustrated by the South Platte River basin of Colorado, as well as the Arkansas and Republican Rivers.

Surface water resources assessment in Peru through SWAT hydrological model

2020 ◽  
Author(s):  
Flavio Alexander Asurza Véliz ◽  
Kevin Arnold Traverso-Yucra ◽  
Waldo Sven Lavado-Casimiro ◽  
Oscar Felipe-Obando ◽  
Cristian Albert Montesinos-Cáceres ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Surface Water ◽  
Water Resources ◽  
Central Zone ◽  
Assessment Tools ◽  
Low Flow ◽  
Nsga Ii ◽  
Discharge Data ◽  
Surface Water Resources ◽  
The Pacific

&lt;p&gt;Surface water resources in Peru show high spatio-temporal variability, being the prediction of streamflow at ungauged sites, one of the fundamental challenges today.&amp;#160; This research presents a methodology for regional parameter estimation at national scale using SWAT (Soil and Water Assessment Tools) model, with the goal of estimating the streamflow for three hydrographic regions in Peru: the Pacific, Titicaca and Amazonas. Hydrological models were calibrated using observed discharge data which is sparse and poorly distributed over Peru. In this context, we design a regional parameter estimation following the next steps: i) First, a regionalization of 3394 hydrological response units (HRU) in the whole country were built through Ward&amp;#8217;s hierarchical cluster criterion, in which 14 calibration regions were defined. ii) A calibration procedure to obtain the best calibration parameters was made with Non-dominated Sorting Genetic Algorithm (NSGA-II) optimization using the Kling-Gupta (KGE) and Nash Sutcliffe Logarithmic (LogNSE) statistics. A total of 31 hydrological stations were selected to calibration and validation procedure with the condition of leaving at least one in each region defined at point i) iii) Using the physical similarity approach, each set of calibrated parameters was averaged in each region to get the regional parameter sets.&lt;/p&gt;&lt;p&gt;The Pacific drainage was grouped into 6 regions, in which the results of daily flows estimations showed a good performance (KGE varies between -0.89 and 0.79) with some exceptions in the central zone; and acceptable results in the low- flow estimation (logNSE varies between -1.66 and 0.82), whose performance declines in some stations in northern and southern areas. On the other hand, the Amazon and Titicaca drainages regions were grouped into 7 and 1 region respectively. The calibration in the Amazon resulted in a very good performance in the Andean part (KGE&gt; 0.5 and LogNse&gt; 0.3), however in the north (region shared with Ecuador), the results are moderately satisfactory (KGE varies 0.0 and 0.4). In the Titicaca region, very acceptable KGE calibration values &amp;#8203;&amp;#8203;were obtained (KGE&gt; 0.75, LogNSE&gt; 0.6). This first stage of the research will allow evaluating the climate change impacts on the water resources availability in Peru.&lt;/p&gt;

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