scholarly journals Selection of a Hydrological Model and Objective Function for Water Resources Management in Predominantly Rural Watershed using Criteria-Based Evaluation

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Pratik Singh Thakuri ◽  
NT Sohan Wijesekera
Keyword(s):  
Water Resources ◽  
Objective Function ◽  
Water Resources Management ◽  
Hydrological Modeling ◽  
Hydrological Model ◽  
Suitable Model ◽  
Hydrological Models ◽  
Objective Functions ◽  
Resources Management ◽  
Selection Of

Selection of a fitting up-to-date hydrological model using an evaluation of the functionality, modeler’s requirements, and modeling experiences are very important for water resources management in rural watersheds. Similarly, the selection of appropriate objective function is equally crucial in hydrological modeling processes. Accordingly, A review study was carried to select an appropriate model and objective function for water resources modeling in the predominantly rural watershed. Hydrological models namely HEC-HMS, MIKE SHE, SWAT, TOPMODEL, and SWMM, and objective functions namely NSE, RMSE, MRAE, and RAEM were reviewed. Hydrological models were reviewed under several criteria viz. temporal scale, spatial scale, hydrological processes, documentation, resources requirement, user interface and, model acquisition cost. Whereas, criteria for the review of objective functions were mathematical implication, flow regime, and modeling purpose. Each of the review criteria was comprised of several factors. The criteria-based evaluation was done to quantify the review outcome of the hydrological model and objective function. SWMM was found to be the most suitable model for simulating rural watersheds for water resources management purposes whereas, MRAE was found to be the most appropriate objective function to evaluate the performance of the model selected for rural watershed modeling.

New Transboundary Hydrographic Data Set for Advancing Regional Hydrological Modeling and Water Resources Management

2019 ◽  
Vol 145 (6) ◽  
pp. 06019004 ◽  
Author(s):  
Lacey A. Mason ◽  
Andrew D. Gronewold ◽  
Michael Laitta ◽  
David Gochis ◽  
Kevin Sampson ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Hydrological Modeling ◽  
Hydrographic Data ◽  
Data Set ◽  
Resources Management

scholarly journals An automated method to build groundwater model hydrostratigraphy from airborne electromagnetic data and lithological borehole logs

2015 ◽  
Vol 12 (2) ◽  
pp. 1555-1598
Author(s):  
P. A. Marker ◽  
N. Foged ◽  
X. He ◽  
A. V. Christiansen ◽  
J. C. Refsgaard ◽  
...  
Keyword(s):  
Hydraulic Conductivity ◽  
Water Resources ◽  
Water Resources Management ◽  
Cluster Model ◽  
Large Scale ◽  
Clay Fraction ◽  
Hydrological Models ◽  
Resources Management ◽  
Spatial Coverage ◽  
Borehole Logs

Abstract. Large-scale integrated hydrological models are important decision support tools in water resources management. The largest source of uncertainty in such models is the hydrostratigraphic model. Geometry and configuration of hydrogeological units are often poorly determined from hydrogeological data alone. Due to sparse sampling in space, lithological borehole logs may overlook structures that are important for groundwater flow at larger scales. Good spatial coverage along with high spatial resolution makes airborne time-domain electromagnetic (AEM) data valuable for the structural input to large-scale groundwater models. We present a novel method to automatically integrate large AEM data-sets and lithological information into large-scale hydrological models. Clay-fraction maps are produced by translating geophysical resistivity into clay-fraction values using lithological borehole information. Voxel models of electrical resistivity and clay fraction are classified into hydrostratigraphic zones using k-means clustering. Hydraulic conductivity values of the zones are estimated by hydrological calibration using hydraulic head and stream discharge observations. The method is applied to a Danish case study. Benchmarking hydrological performance by comparison of simulated hydrological state variables, the cluster model performed competitively. Calibrations of 11 hydrostratigraphic cluster models with 1–11 hydraulic conductivity zones showed improved hydrological performance with increasing number of clusters. Beyond the 5-cluster model hydrological performance did not improve. Due to reproducibility and possibility of method standardization and automation, we believe that hydrostratigraphic model generation with the proposed method has important prospects for groundwater models used in water resources management.

scholarly journals Performance evaluation of groundwater model hydrostratigraphy from airborne electromagnetic data and lithological borehole logs

2015 ◽  
Vol 19 (9) ◽  
pp. 3875-3890 ◽  
Author(s):  
P. A. Marker ◽  
N. Foged ◽  
X. He ◽  
A. V. Christiansen ◽  
J. C. Refsgaard ◽  
...  
Keyword(s):  
Hydraulic Conductivity ◽  
Water Resources ◽  
Water Resources Management ◽  
Cluster Model ◽  
Large Scale ◽  
Clay Fraction ◽  
Hydrological Models ◽  
Resources Management ◽  
Airborne Electromagnetic ◽  
Borehole Logs

Abstract. Large-scale hydrological models are important decision support tools in water resources management. The largest source of uncertainty in such models is the hydrostratigraphic model. Geometry and configuration of hydrogeological units are often poorly determined from hydrogeological data alone. Due to sparse sampling in space, lithological borehole logs may overlook structures that are important for groundwater flow at larger scales. Good spatial coverage along with high spatial resolution makes airborne electromagnetic (AEM) data valuable for the structural input to large-scale groundwater models. We present a novel method to automatically integrate large AEM data sets and lithological information into large-scale hydrological models. Clay-fraction maps are produced by translating geophysical resistivity into clay-fraction values using lithological borehole information. Voxel models of electrical resistivity and clay fraction are classified into hydrostratigraphic zones using k-means clustering. Hydraulic conductivity values of the zones are estimated by hydrological calibration using hydraulic head and stream discharge observations. The method is applied to a Danish case study. Benchmarking hydrological performance by comparison of performance statistics from comparable hydrological models, the cluster model performed competitively. Calibrations of 11 hydrostratigraphic cluster models with 1–11 hydraulic conductivity zones showed improved hydrological performance with an increasing number of clusters. Beyond the 5-cluster model hydrological performance did not improve. Due to reproducibility and possibility of method standardization and automation, we believe that hydrostratigraphic model generation with the proposed method has important prospects for groundwater models used in water resources management.

scholarly journals Emerging trends about uncertainty in hydrologic modeling and water resources management: A bibliometrics analysis

2021 ◽  
Author(s):  
Congcong Li ◽  
Bowen Li ◽  
Yanpeng Cai ◽  
Zhong Li ◽  
Ronghua Xu ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Hydrological Modeling ◽  
Collective Knowledge ◽  
Hydrological Simulation ◽  
Resources Management ◽  
Water Resources Systems ◽  
Mapping Software ◽  
Emerging Trends ◽  
Bibliometrics Analysis

Water resources management is a challenging task caused by huge uncertainties and complexities in hydrological processes and human activities. Over the last three decades, various scholars have carried out the study on hydrological simulation under complex conditions, and quantitatively characterize the associated uncertainties for water resources systems. To keep abreast of the development of collective knowledge in this field, a scientometric review and metasynthesis of the existing uncertainty analysis research for supporting hydrological modeling and water resources management is conducted. A total of 2,020 publications from 1991 to 2018 were acquired from Web of Science. The scientific structure, cooperation, and frontiers of the related domain were explored by the science mapping software of CiteSpace. Through co-citation, collaboration, and co-occurrence network study, the results present the leading contributors among all countries and hotspots in the research domain. Besides, synthetical uncertainty management for hydrological models and water resource systems under climatic and land use change will continue to be focused on.

DWBmodelUN: an R-package for the hydrological model Dynamic Water Balance

2020 ◽  
Author(s):  
Camila García-Echeverri ◽  
Nicolás Duque-Gardeazabal ◽  
Carolina Vega-Viviescas ◽  
Pedro Arboleda-Obando ◽  
David Zamora
Keyword(s):  
Water Resources ◽  
Water Balance ◽  
Water Resources Management ◽  
Hydrological Model ◽  
R Package ◽  
Tropical Region ◽  
Model Parameters ◽  
Mountain Range ◽  
Time Step ◽  
Resources Management

<p>Evapotranspiration (ET) is one of the most important factors for the water budget and physical processes in the tropical region. This variable affects the atmospheric water and it is important for its capacity to control precipitation, including its influence on absorption and reflection of solar and terrestrial radiation. In the tropical context ET is a relevant process, where the condensation of large amounts of water vapor leads to the release of latent heat energy. In order to understand ecohydrological and climatic synergies and interactions in the tropical basins, different models have tried to represent the hydrological processes in time and space. But most of these models depend on variables that should be measured in situ and are rarely available or limited in the tropical countries. This inevitably requires the model to be simple enough and the parameters can be estimated from climate and basin characteristics. In this regard, Zhang et al. (2008) developed a hydrological model Dynamic Water Balance (DWB). DWB is a semi-distributed model supported in the Budyko framework, which uses partition curves to distribute water to a number of components based on water availability and demand concepts. In general, the model assumes the control over the water balance is mostly dominated by the precipitation (P) and potential evapotranspiration. </p><p>The hydrologic structure of DWB consists of two tanks, soil moisture store and groundwater store, and adjust its mathematical relations through the optimization of four parameters. Due to its simplicity and strong concepts, DWB had been implemented successfully in several types of basins around the globe (Rodriguez et al., 2019).</p><p>This work presents DWBmodelUN, a hydrological R-package with the implementation of DWB in a regular mesh at a monthly time step. DWBmodelUN contains 12 functions related to data entry pre-processing, mathematical development of DWB, calibration algorithm Dynamical Dimension Search and an interactive graphical  module. In overall terms, DWBmodelUN requires: (i) basin geographic data (defines the spatial resolution of the modelling), (ii) hydro-meteorological entry data (P, Temperatute, Streamflow) in raster format, (iii) initial values for the model parameters and (iv) setup data such as warm up, calibration and validation periods. </p><p>In addition, this package includes a practical example of application in Sogamoso River Basin, located at the Oriental mountain range of Colombia.  Therefore, data sets with hydrological, meteorological and setup information were incorporated within the package.</p><p>This tool intents to spread  the DWB model and facilitate its implementation in more basins. In this context, to execute DWBmodelUN users do not need extensive programming skills and the R-package was thought for easily adaptability.</p><p><strong>References</strong></p><p>Rodríguez, E., Sánchez, I., Duque, N., Arboleda, P., Vega, C., Zamora, D., … Burke, S. (2019). Combined Use of Local and Global Hydro Meteorological Data with Hydrological Models for Water Resources Management in the Magdalena - Cauca Macro Basin – Colombia. Water Resources Management. </p><p>Zhang, L., Potter, N., Hickel, K., Zhang, Y., & Shao, Q. (2008). Water balance modeling over variable time scales based on the Budyko framework – Model development and testing. Journal of Hydrology, 360(1–4), 117–131. </p>

scholarly journals Rainfall-Runoff Simulation for Water Availability Estimation in Small Island Using Distributed Hydrological Model wflow

2021 ◽  
Vol 930 (1) ◽  
pp. 012050
Author(s):  
W Seizarwati ◽  
M Syahidah
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Water Availability ◽  
Hydrological Model ◽  
Small Island ◽  
Distributed Hydrological Model ◽  
Rainfall Runoff ◽  
Runoff Simulation ◽  
Area Index ◽  
Resources Management

Abstract Hydrological data in Indonesia, especially in the small islands, is minimal, including spatial distribution and temporal completeness. It will affect the accuracy of water availability estimation for water resources management interest. One of the solutions that can be undertaken is applying rainfall-runoff modeling to obtain the discharge value at a specific location. This study aims to determine surface water availability in each sub-catchment of the small island by implementing the hydrological model. The wflow model is applying to perform the model. This model uses input data including Digital Elevation Model (DEM), landuse, soil, Leaf Area Index (LAI), rainfall, evapotranspiration, and observation of river discharge for the calibration process. As a result, this island consists of 30 catchments with some potential catchments, namely Cao, Sakita, and Tatamo, that have a 90% dependable flow of 4213.3 L/s, 3803.6 L/s 8117 L/s, respectively. The result of water availability in Morotai Island is highly expected to be the reference for water resources management, especially for tourism and urban development.

ECOLOGY AND SUSTAINABLE DEVELOPMENT IN LOCAL BUSINESS:SIMULATION OF LOW IMPACT DEVELOPMENT IN SURAKARTA REGENCY

2018 ◽  
Vol 4 (1) ◽  
pp. 32-38
Author(s):  
Bhimo Rizky Samudro ◽  
Yogi Pasca Pratama
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
River Flow ◽  
Low Impact Development ◽  
Development Model ◽  
Business Activity ◽  
Resources Management ◽  
Central Java ◽  
Specific Culture ◽  
Central Java Province

This paper will describe the function of water resources to support business activities in Surakarta regency, Central Java province. Surakarta is a business city in Central Java province with small business enterprises and specific culture. This city has a famous river with the name is Bengawan Solo. Bengawan Solo is a River Flow Regional (RFR) to support business activities in Surakarta regency. Concious with the function, societies and local government in Surakarta must to manage the sustainability of River Flow Regional (RFR) Bengawan Solo. It is important to manage the sustainability of business activity in Surakarta regency.   According to the condition in Surakarta regency, this paper will explain how the simulation of Low Impact Development Model in Surakarta regency. Low Impact Development is a model that can manage and evaluate sustainability of water resources in River Flow Regional (RFR). Low Impact Development can analys goals, structures, and process water resources management. The system can also evaluate results and impacts of water resources management. From this study, we hope that Low Impact Development can manage water resources in River Flow Regional (RFR) Bengawan Solo.  

Sign in / Sign up

Export Citation Format

Share Document