Water balance calculation capability of hydrological models

Tran, Hop Quang; Feher, Zoltan

doi:10.31914/aak.2877

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…This tool in water resources management includes a spatial geodatabase in a geographic information system (GIS). Although it does not have any capacity for calculating separate water balance [15], numerous administrators and scholars throughout the world have utilized WEAP [16][17][18]; there are wide-ranging studies that have used the WEAP program [1,[19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Mitigating Water Shortage via Hydrological Modeling in Old and New Cultivated Lands West of the Nile in Egypt

Badr

Abdelradi

Negm

et al. 2023

Water

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Middle East and North Africa (MENA) regions are increasingly concerned about water scarcity. Egypt, one of the arid MENA nations that relies primarily on Nile water, faces a water scarcity issue because of a mismatch between demand and supply. This study presents an integrated executive system for managing water resources in two regions of Egypt that have traits with many MENA regions facing water scarcities. Hydrological modeling is required for the modeling of water resources, and model calibration procedures should be implemented to compare the simulated values to the observed and measured values to minimize model errors. The Water Evaluation and Planning (WEAP) model was used in this study to simulate the network systems of Egypt’s Minia Governorate on the western bank of the Nile’s narrow valley and Nubariya in the West Nile Delta, the lower reaches of the Nile. Using field data and experience, as well as other inputs, geographic information system (GIS) software digitized streams using satellite-interpreted data. The models were run, calibrated, and validated. The main calibration objective was to reduce the discrepancy between the actual and modeled flows as much as possible. Nash–Sutcliffe efficiency (NSE), percentage BIAS (PBIAS), volumetric efficiency (VE), and agreement index (d) values were calculated for three calibration cases. For anticipating water shortages until 2050, two scenarios were examined: (1) climate change scenarios based on historical climatic data from 1960 to 1990 and from 1991 to 2020, which led to a prediction scenario (2021–2050) of increasing temperature in the areas leading to evapotranspiration (ET) increases of 5.42% and 5.13% and (2) canal lining scenarios, which found a flow saving in the areas, showing that we can overcome the anticipated water shortage progress if canal lengths are rehabilitated by 10% and 25% in Minia and Nubariya.

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Section: Introductionmentioning

confidence: 99%

Mitigating Water Shortage via Hydrological Modeling in Old and New Cultivated Lands West of the Nile in Egypt

Badr

Abdelradi

Negm

et al. 2023

Water

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“…The geographical information system (GIS) can now be used thanks to recent advances in information technology. In addition, various mathematical and physical-based hydrological modelling software has made related research possible [16]. Among the various models, the MIKE SHE model stands out as a tool for implementing integrated water resource management.…”

Section: Introductionmentioning

confidence: 99%

Estimation of the water regime under different climate scenarios and the importance of the thoroughness of the soil as input layer in a small watershed in Central-Hungary

Quang¹,

Fehér²

2022

VNJHM

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The indicators of climate change in Central Europe, Hungary is showing a trend of decrease in rainfall, increase in temperature and especially extreme weather that is becoming more usual and unpredictable. The current study presents the application of the MIKE SHE model to examine the role of unsaturated soil settings and the effects of climate change on various hydrological parameters and water balance components. The input data has been provided by Lower-Tisza District Water Directorate. The one-at-atime method utilized in this study allows for the investigation of the impact of various input parameter combinations on the estimated values of different hydrological parameters and water balance components. The findings demonstrated that the level of detailedness of the soil as an input parameter significantly influences the results of the modelled groundwater circulation and therefore the dynamics of the water regime. According to the simulation results of the temperature increase, the water table can be regarded as the primary water supply that replenishes the streams. The simulation results show that the groundwater table and evapotranspiration are the two main driving forces in the Dong-ér catchment's water regime. These findings will be used as a reference for water resource management and irrigation infrastructure planning in the context of complex climate change contexts.

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Precision Estimation of Crop Coefficient for Maize Cultivation Using High-Resolution Satellite Imagery to Enhance Evapotranspiration Assessment in Agriculture

Nagy,

Kiss,

Buday-Bódi

et al. 2024

Plants

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The estimation of crop evapotranspiration (ETc) is crucial for irrigation water management, especially in arid regions. This can be particularly relevant in the Po Valley (Italy), where arable lands suffer from drought damages on an annual basis, causing drastic crop yield losses. This study presents a novel approach for vegetation-based estimation of crop evapotranspiration (ETc) for maize. Three years of high-resolution multispectral satellite (Sentinel-2)-based Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Red Edge Index (NDRE), and Leaf Area Index (LAI) time series data were used to derive crop coefficients of maize in nine plots at the Acqua Campus experimental farm of Irrigation Consortium for the Emilia Romagna Canal (CER), Italy. Since certain vegetation indices (VIs) (such as NDVI) have an exponential nature compared to the other indices, both linear and power regression models were evaluated to estimate the crop coefficient (Kc). In the context of linear regression, the correlations between Food and Agriculture Organization (FAO)-based Kc and NDWI, NDRE, NDVI, and LAI-based Kc were 0.833, 0.870, 0.886, and 0.771, respectively. Strong correlation values in the case of power regression (NDWI: 0.876, NDRE: 0.872, NDVI: 0.888, LAI: 0.746) indicated an alternative approach to provide crop coefficients for the vegetation period. The VI-based ETc values were calculated using reference evapotranspiration (ET0) and VI-based Kc. The weather station data of CER were used to calculate ET0 based on Penman-Monteith estimation. Out of the Vis, NDWI and NDVI-based ETc performed the best both in the cases of linear (NDWI RMSE: 0.43 ± 0.12; NDVI RMSE: 0.43 ± 0.095) and power (NDWI RMSE: 0.44 ± 0.116; NDVI RMSE: 0.44 ± 0.103) approaches. The findings affirm the efficacy of the developed methodology in accurately assessing the evapotranspiration rate. Consequently, it offers a more refined temporal estimation of water requirements for maize cultivation in the region.

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Water balance calculation capability of hydrological models

Cited by 3 publications

References 18 publications

Mitigating Water Shortage via Hydrological Modeling in Old and New Cultivated Lands West of the Nile in Egypt

Mitigating Water Shortage via Hydrological Modeling in Old and New Cultivated Lands West of the Nile in Egypt

Estimation of the water regime under different climate scenarios and the importance of the thoroughness of the soil as input layer in a small watershed in Central-Hungary

Precision Estimation of Crop Coefficient for Maize Cultivation Using High-Resolution Satellite Imagery to Enhance Evapotranspiration Assessment in Agriculture

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