Five innovative applications of hydroinformatics in Groundwater Management
There are multiple instances when Hydroinformatics has been applied for the optimization of groundwater management. This article will show five such instances.
Significant advancements in water research, as well as new observational and computational capabilities and infrastructures (e.g., MOSES, TERENO, VISLAB, JUWELS), present an opportunity to develop the next generation of smart, data- and model-driven water monitoring systems. Software tools are intended to aid scientists worldwide in the analysis of larger and more complex systems, as well as in the exploration of hydrological extreme scenarios and their consequences.
Hydroinformatics is an interdisciplinary field that employs simulations, data science, and decision-making systems to create novel approaches to effectively, sustainably, and equitably manage water in a variety of scenarios.
Groundwater resource management in water supply areas is now an essential task in order to minimize anthropogenic interference and ensure the long-term use of available water.
Below five articles shows the way hydro informatics was used in the optimal management of groundwater :
Article 1
Application of satellite imagery, multilinear regression, and GRACE observations to approximate change in groundwater storage
Main Article: Satellite gravity observation and Hydrological modeling-based integrated groundwater storage change in Northwestern India
Short Description:
By combining satellite gravity observation and hydrological modeling, an algorithm for estimating improved regional groundwater storage change is proposed.
Multi-linear regression analysis of TWS change vs governing hydrological components yields integration weight coefficients.
The hydrological model considers geology, terrain, and hydrometeorological factors; GRACE gravity observation includes aquifer withdrawal.
First published in :
Journal of Hydroinformatics (2023) 25 (2): 226–242.
https://doi.org/10.2166/hydro.2023.072
Tools and Techniques of Hydroinformatics Used :
GIS, multi-linear regression analysis, and hydrological models
Article 2
Estimation of the most significant strategy for groundwater management with the help of the Analytic Element Method (AEM), Non-dominated Sorting Genetic Algorithm (NSGA-II), and MCDM Techniques like VIKOR and TOPSIS.
Main Article: Multicriterion decision making in groundwater planning
Short Description:
The Analytic Element Method (AEM) simulation model and the Non-dominated Sorting Genetic Algorithm (NSGA-II) optimization model were linked and used for groundwater planning.
The Davies-Bouldin (DB) index was used to determine the optimal number of groundwater strategy clusters.
To rank the 20 representative strategies, the Multicriterion Decision-Making (MCDM) techniques VIKOR and TOPSIS were used.
First published in :
Journal of Hydroinformatics (2021) 23 (3): 627–638.
https://doi.org/10.2166/hydro.2021.122
Tools and Techniques of Hydroinformatics Used :
MCDM, AEM and NSGA-II
Article 3
Surface and Groundwater interaction study and impact analysis of reduced groundwater level in Central Ganga Basins, India
Main Article: Numerical groundwater modeling for studying surface water-groundwater interaction and impact of reduced draft on groundwater resources in central Ganga basin
Short Description:
The primary goal of this research is to understand the discharge and recharge processes of groundwater systems using trend analysis, as well as the interaction of surface water and groundwater using groundwater modeling. A comprehensive hydrological and hydrogeological data analysis was performed, and a numerical groundwater model for Bhojpur district, Bihar, India, covering a geographical area of 2395 km2 in the central Ganga basin, was developed.
First published in :
Mathematical Biosciences and Engineering
2022, Volume 19, Issue 11: 11114-11136. doi: 10.3934/mbe.2022518
Tools and Techniques of Hydroinformatics Used :
M-K Test, Groundwater modeling
Article 4
Groundwater exploration for differentiating good from poor potential zones with the help of MCDM Techniques and geoelectrical surveys
Main Article: Groundwater exploration in hard rock terrains of East Godavari district, Andhra Pradesh, India using AHP and WIO analyses together with geoelectrical surveys
Short Description:
Groundwater exploration is becoming increasingly important in India as a result of the indiscriminate use of available water resources. The government has designated the area as highly backward, and tribal people live there. Ten parameters, as well as geoelectrical resistivity data, have been collected in order to explore good aquifers in the study area. The analytical Hierarchy Process (AHP) is a decision-making technique that employs the weights of various thematic layers (parameters) that are advantageous for groundwater recharge, storage, and location. A comprehensive groundwater prospect map has been created and validated with an aquifer thickness map derived from geoelectrical data analysis.
First published in :
2021, Volume 7, Issue 2: 244-267. doi: 10.3934/geosci.2021015
Tools and Techniques of Hydroinformatics Used :
MCDM, Weighted Index Overlay(WIO) analysis, and GIS
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