Top

Published in:

25-10-2023

A Web-Enabled Tool for Site Suitability Mapping for Managed Aquifer Recharge (MAR) Using Google Earth Engine (GEE) and Multi-Criteria Decision Analysis (MCDA)

Authors: Nitesh Patidar, Basant Yadav, Sumit Kumar, Abhay Raj, Gopal Krishan, Surjeet Singh, Bhaskar Jyoti Deka, Sanghyun Jeong, Ashish Pandey, Yutaka Matsuno, R. D. Singh

Published in: Water Resources Management | Issue 14/2023

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Under possible risk of compound impacts of climate and anthropogenic changes, the Managed Aquifer Recharge (MAR) is envisaged to be an appropriate solution. Site suitability mapping is a crucial step in MAR project planning which requires various data, processing and GIS analysis. An automated web-based tool, named G-MCDA, is developed in this study for quick and efficient suitability mapping. G-MCDA integrates Google Earth Engine (GEE), Multi-criteria Decision Analysis (MCDA), GIS and web-based interface that allows automated data downloading, GIS data processing and suitability analysis using MCDA. G-MCDA has been tested in upper Ganga-Yamuna Doab region, India, for site suitability analysis. The application of G-MCDA shows that most of the area (82%) is under suitable category followed by very suitable (12%), and moderately suitable (5%). The suitable area is mostly flat agricultural lands with alluvium aquifer. A few patches of urban and sloping lands found to be moderately/low suitable for MAR.

previous article A Probability Model for Short-Term Streamflow Prediction Based on Multi-Resolution Data

next article Stable Improved Dynamic Programming Method: An Efficient and Accurate Method for Optimization of Reservoir Flood Control Operation

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Abbasi-Moghadam HR, Mahmoodlu MG, Jandaghi N et al (2021) River bank filtration for sustainable water supply on Gorganroud River. Iran Environ Earth Sci 80:21. https://doi.org/10.1007/s12665-020-09334-3CrossRef

Alam S, Gebremichael M, Li R et al (2020) Can managed aquifer recharge mitigate the groundwater overdraft in California’s Central Valley? Water Resour Res 56:e2020WR02724. https://doi.org/10.1029/2020WR027244CrossRef

Alam S, Borthakur A, Ravi S et al (2021) Managed aquifer recharge implementation criteria to achieve water sustainability. Sci Total Environ 768:144992. https://doi.org/10.1016/j.scitotenv.2021.144992CrossRef

CGWB (2020) Master plan for artificial recharge to groundwater in India, Central Ground Water Board, Ministry of Jal Shakti, Government of India

Dietmaier A, Baumann T (2023) Assessing sustainable development of deep aquifers. Water Resour Manag 1–18. https://doi.org/10.1007/s11269-023-03529-6

Dillon P, Vanderzalm J, Sidhu J et al (2014) A water quality guide to managed aquifer recharge in India, CSIRO land and water flagship, CSIRO and UNESCO

Evans SW, Jones NL, Williams GP et al (2020) Groundwater level mapping tool: An open source web application for assessing groundwater sustainability. Environ Model Softw 131:104782. https://doi.org/10.1016/j.envsoft.2020.104782CrossRef

Ghasemi G, Noorollahi Y, Alavi H et al (2019) Theoretical and technical potential evaluation of solar power generation in Iran. Renew Energy 138:1250–1261. https://doi.org/10.1016/j.renene.2019.02.068CrossRef

Gorelick N, Hancher M, Dixon M et al (2017) Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sens Environ 202:18–27. https://doi.org/10.1016/j.rse.2017.06.031CrossRef

Grasso S, Claps P, Ganora D, Libertino A (2021) A web-based open-source geoinformation tool for regional water resources assessment. Water Resour Manag 35:675–687. https://doi.org/10.1007/s11269-020-02750-xCrossRef

Imig A, Szabó Z, Halytsia O et al (2022) A review on risk assessment in managed aquifer recharge. Integr Environ Assess Manag 18:1513–1529. https://doi.org/10.1002/ieam.4584CrossRef

Jaiswal RK, Dhruw G, Jain S et al (2023) Efficient segmentation algorithm for estimation of revised reservoir capacities in Google Earth Engine. Water Resour Manag 1–18. https://doi.org/10.1007/s11269-023-03511-2

Krishan G, Sandhu C, Grischek T et al (2022) Assessment of heavy metals in sediments from exploratory wells for riverbank filtration sites impacted by extreme environmental conditions using principal component analysis. In: Jha R, Singh VP, Singh V et al (eds) Groundwater and Water Quality: Hydraulics, Water Resources and Coastal Engineering. Springer International Publishing, Cham, pp 29–51CrossRef

Li H, Lu Y, Zheng C et al (2020) Seasonal and inter-annual variability of groundwater and their responses to climate change and human activities in arid and desert areas: A case study in Yaoba Oasis, Northwest China. Water (Basel) 12:303. https://doi.org/10.3390/w12010303CrossRef

Mutanga O, Kumar L (2019) Google earth engine applications. Remote Sens (Basel) 11:591. https://doi.org/10.3390/rs11050591CrossRef

Patidar N, Keshari AK (2020) A rule-based spectral unmixing algorithm for extracting annual time series of sub-pixel impervious surface fraction. Int J Remote Sens 41(10):3970–3992

Riyanto IA, Widyastuti M, Cahyadi A et al (2020) Groundwater management based on vulnerability to contamination in the tropical karst region of Guntur spring, Gunungsewu Karst, Java Island, Indonesia. Environ Process 7:1277–1302. https://doi.org/10.1007/s40710-020-00460-5CrossRef

Saaty T (1988) What is the analytic hierarchy process? Mathematical models for decision support. NATO ASI Ser 48:109–121

Sallwey J, Schlick R, Bonilla Valverde JP et al (2019a) Suitability mapping for managed aquifer recharge: Development of web-tools. Water (basel) 11:2254. https://doi.org/10.3390/w11112254CrossRef

Sallwey J, Valverde JPB, López FV et al (2019b) Suitability maps for managed aquifer recharge: a review of multi-criteria 2 decision analysis studies. Environ Rev 27:138–150CrossRef

Scanlon BR, Fakhreddine S, Rateb A et al (2023) Global water resources and the role of groundwater in a resilient water future. Nat Rev Earth Environ 4:87–101. https://doi.org/10.1038/s43017-022-00378-6CrossRef

Sloan S, Cook PG, Wallis I (2023) Managed aquifer recharge in mining: A review. Groundwater 61:305–317. https://doi.org/10.1111/gwat.13311CrossRef

Szabó Z, Szijártó M, Tóth Á, Mádl-Szőnyi J (2023) The significance of groundwater table inclination for nature-based replenishment of groundwater-dependent ecosystems by managed aquifer recharge. Water (Basel) 15:1077. https://doi.org/10.3390/w15061077CrossRef

Vos K, Splinter KD, Harley MD et al (2019) CoastSat: A Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery. Environ Model Softw 122:104528. https://doi.org/10.1016/j.envsoft.2019.104528CrossRef

Waterhouse H, Bachand S, Mountjoy D et al (2020) Agricultural managed aquifer recharge - water quality factors to consider. Calif Agric (Berkeley) 74:144–154. https://doi.org/10.3733/CA.2020A0020CrossRef

White JT, Hemmings B, Fienen MN, Knowling MJ (2021) Towards improved environmental modeling outcomes: Enabling low-cost access to high-dimensional, geostatistical-based decision-support analyses. Environ Model Softw 139:105022. https://doi.org/10.1016/j.envsoft.2021.105022CrossRef

Yang L, Driscol J, Sarigai S et al (2022) Google Earth Engine and Artificial Intelligence (AI): A comprehensive review. Remote Sens (Basel) 14:3253. https://doi.org/10.3390/rs14143253CrossRef

Zhang H, Xu Y, Kanyerere T (2020) A review of the managed aquifer recharge: Historical development, current situation and perspectives. Phys Chem Earth 118–119:. https://doi.org/10.1016/j.pce.2020.102887

Title: A Web-Enabled Tool for Site Suitability Mapping for Managed Aquifer Recharge (MAR) Using Google Earth Engine (GEE) and Multi-Criteria Decision Analysis (MCDA)
Authors: Nitesh Patidar
Basant Yadav
Sumit Kumar
Abhay Raj
Gopal Krishan
Surjeet Singh
Bhaskar Jyoti Deka
Sanghyun Jeong
Ashish Pandey
Yutaka Matsuno
R. D. Singh
Publication date: 25-10-2023
Publisher: Springer Netherlands
Published in: Water Resources Management / Issue 14/2023
Print ISSN: 0920-4741
Electronic ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-023-03621-x

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Other articles of this Issue 14/2023

Improving Linear Interpolation of Missing Hydrological Data by Applying Integrated Autoregressive Models

Regional Groundwater Flow Modeling Using Improved Isogeometric Analysis: Application and Implications in Unconfined Aquifer Systems

Time of Concentration Model for Non-Urban Tropical Basins Based on Physiographic Characteristics and Observed Rainfall Responses

Detecting Background Leakages in Water Infrastructure With Fiber Optic Distributed Temperature Sensing: Insights From a Heat Transfer-Unsaturated Flow Model

Application of Copulas in Hydrometeorological Drought Risk Analysis Under Climate Change Scenarios- a Case Study

A Long-Term Operational Scheme for Hybrid Hydro-Photovoltaic (PV) Systems that Considers the Uncertainties in Reservoir Inflow and Solar Radiation Based on Scenario Trees