Recognition of district wise groundwater stress zones using the GLDAS-2 catchment land surface model during lean season in the Indian state of West Bengal

• Autorzy: Sahoo Satiprasad , Chakraborty Subha , Pham Quoc Bao , Sharif Ehsan , Sammen Saad Sh. , Vojtek Matej , Vojteková Jana , Elkhrachy Ismail , Costache Romulus , Linh Nguyen Thi Thuy

Identyfikatory

DOI

10.1007/s11600-020-00509-x

• Języki publikacji: EN

Abstrakty

EN

Water is essential for irrigation, drinking and industrial purposes from global to the regional scale. The groundwater considered a signifcant water resource specifcally in regions where the surface water is not sufcient. Therefore, the research problem is focused on district-wise sustainable groundwater management due to urbanization. The number of impervious surface areas like roofng on built-up areas, concrete and asphalt road surface were increased due to the level of urban development. Thus, these surface areas can inhibit infltration and surface retention by the impact of urbanization because vegeta tion/forest areas are decreased. The present research examines the district-wise spatiotemporal groundwater storage (GWS) changes under terrestrial water storage using the global land data assimilation system-2 (GLDAS-2) catchment land surface model (CLSM) from 2000 to 2014 in West Bengal, India. The objective of the research is mainly focused on the delineation of groundwater stress zones (GWSZs) based on ten biophysical and hydrological factors according to the defciency of groundwater storage using the analytic hierarchy process by the GIS platform. Additionally, the spatiotemporal soil moisture (surface soil moisture, root zone soil moisture, and profle soil moisture) changes for the identifcation of water stress areas using CLSM were studied. Finally, generated results were validated by the observed groundwater level and groundwater recharge data. The sensitivity analysis has been performed for GWSZs mapping due to the defcit of groundwater storage. Three correlation coefcient methods (Kendall, Pearson and Spearman) are applied for the interrelationship between the most signifcant parameters for the generation of GWSZ from sensitivity analysis. The results show that the northeastern (max: 1097.35 mm) and the southern (max: 993.22 mm) parts have high groundwater storage due to higher amount of soil moisture and forest cover compared to other parts of the state. The results also show that the maximum and minimum total annual groundwater recharge shown in Paschim Medinipore [(361,148.51 hectare-meter (ham)] and Howrah (31,510.46 ham) from 2012 to 2013. The generated outcome can create the best sustainable groundwater management practices based upon the human attitude toward risk.

Słowa kluczowe

EN

soil moisture; terrestrial water storage; groundwater storage; catchment land surface; GIS; groundwater stress

PL

wilgotność gleby; magazynowanie wody naziemnej; magazynowanie wód gruntowych; powierzchnia zlewni; GIS

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2021
• Tom: Vol. 69, no. 1
• Strony: 175--198
• Opis fizyczny: Bibliogr. 66 poz.

Twórcy

autor

Sahoo Satiprasad

• Centre for Environment, Indian Institute of Technology Guwahati, Guwahati 781039, India

autor

Chakraborty Subha

• Department of Architecture, Town and Regional Planning, IIEST, Shibpur, Howrah 711 103, India

autor

Pham Quoc Bao

• Environmental Quality, Atmospheric Science and Climate Change Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam
• Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam

autor

Sharif Ehsan

• Section 4.4 Hydrology, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany

autor

Sammen Saad Sh.

• Department of Civil Engineering, College of Engineering, University of Diyala, Baqubah, Diyala Governorate, Iraq

autor

Vojtek Matej

• Department of Geography and Regional Development, Faculty of Natural Sciences, Constantine the Philosopher University in Nitra, Trieda A. Hlinku 1, 94901 Nitra, Slovakia

autor

Vojteková Jana

• Najran University, College of Engineering, Civil Engineering Department, King Abdulaziz Road, P.O Box 1988, Najran, Saudi Arabia

autor

Elkhrachy Ismail

• Al-Azhar University, Faculty of Engineering, Civil Engineering Department, Nasr City, Cairo 11371, Egypt
• Najran University, College of Engineering, Civil Engineering Department, King Abdulaziz Road, P.O Box 1988, Najran, Saudi Arabia

autor

Costache Romulus

• Research Institute of the University of Bucharest, 90-92 Sos. Panduri, 5th District, 050663 Bucharest, Romania
• Research Institute of the University of Bucharest, 90-92 Sos. Panduri, 5th District, 050663 Bucharest, Romania
• National Institute of Hydrology and Water Management, București-Ploiești Road, 97E, 1st District, 013686 Bucharest, Romania

autor

Linh Nguyen Thi Thuy

• Institute of Research and Development, Duy Tan University, Danang 550000, Vietnam
• Faculty of Environmental and Chemical Engineering, Duy Tan University, Danang 550000, Vietna

Bibliografia

• 1. Anderson MP, Woessner WW, Hunt RJ (2015) Applied groundwater modeling: simulation of flow and advective transport. Academic Press, San Diego
• 2. Bandyopadhyay S, Kar NS, Das S, Sen J (2014) River systems and water resources of West Bengal: a review. Geol Soc India Spec Publ 3(2014):63–84
• 3. Bhanja SN, Mukherjee A, Rodell M (2020) Groundwater storage change detection from in situ and GRACE-based estimates in major river basins across India. Hydrol Sci J 65(4):650–659
• 4. Chatterjee RS, Pranjal P, Jally S, Kumar B, Dadhwal VK, Srivastav SK, Kumar D (2020) Potential groundwater recharge in north-western India vs spaceborne GRACE gravity anomaly based monsoonal groundwater storage change for evaluation of groundwater potential and sustainability. Groundw Sustain Dev 10:100307
• 5. Castle SL, Thomas BF, Reager JT, Rodell M, Swenson SC, Famiglietti JS (2014) Groundwater depletion during drought threatens future water security of the Colorado River Basin. Geophys Res Lett 41:5904–5911
• 6. California Water Foundation (2014) Recommendation for sustainable groundwater management: developed through a stakeholder dialogue, pp 1–40
• 7. Chinnasamy P, Hubbart JA, Agoramoorthy G (2013) Using remote sensing data to improve groundwater supply estimations in Gujarat, India. Earth Interact 17(1):1–17
• 8. Chinnasamy P, Maheshwari B, Dillon P, Purohit R, Dashora Y, Soni P, Dashora R (2018) Estimation of specific yield using water table fluctuations and cropped area in a hardrock aquifer system of Rajasthan, India. Agric Water Manag 202:146–155
• 9. da Costa AM, de Salis HHC, Viana JHM, Leal Pacheco FA (2019) Groundwater recharge potential for sustainable water use in urban areas of the Jequitiba River Basin. Brazil Sustain 11:2955
• 10. Das B, Pal SC (2019a) Assessment of groundwater recharge and its potential zone identification in groundwater-stressed Goghat-I block of Hugli District, West Bengal, India. Environ Dev Sustain 22:5905–5923
• 11. Das B, Pal SC (2019b) Combination of GIS and fuzzy-AHP for delineating groundwater recharge potential zones in the critical Goghat-II block of West Bengal, India. Hydro Res 2(1):21–30
• 12. Das B, Pal SC, Malik S, Chakrabortty R (2019) Modeling groundwater potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniques. Geol, Ecol, Landsc 3(3):223–237
• 13. Dasgupta S, Das IC, Subramanian SK, Dadhwal VK (2014) Space-based gravity data analysis for groundwater storage estimation in the Gangetic plain, India. Curr Sci 107(5):832–844
• 14. Dhar A, Sahoo S, Sahoo M (2015) Identification of groundwater potential zones considering water quality aspect. Environ Earth Sci 74:5663–5675
• 15. De Ridder K (2001) Rainwater storage on plant canopies. J Geophys Res: Atmos 106(D14):14819–14825
• 16. Dhar A, Sahoo S, Dey S, Sahoo M (2014) Evaluation of recharge and groundwater dynamics of a shallow alluvial aquifer in central Ganga basin, Kanpur (India). Nat Resour Res 23(4):409–422
• 17. Döll P, Fiedler K (2009) Global-scale modeling of groundwater recharge. Hydrol Earth Syst Sci 12:863–885
• 18. Döll P, Kaspar F, Lehner B (2003) A global hydrological model for deriving water availability indicators: model tuning and validation. J Hydrol 270(1–2):105–134
• 19. Frappart F, Papa F, Güntner A, Tomasella J, Pfeffer J, Ramillien G, Moreira D (2019) The spatio-temporal variability of groundwater storage in the Amazon River Basin. Adv Water Resour 124:41–52
• 20. Famiglietti JS, Lo M, Ho SL, Bethune J, Anderson KJ, Syed TH, Swenson SC, De Linage CR, Rodell M (2011) Satellites measure recent rates of groundwater depletion in California’s Central Valley. Geophys Res Lett 38:L03403
• 21. Ghosh PK, Bandyopadhyay S, Jana NC (2016) Mapping of groundwater potential zones in hard rock terrain using geoinformatics: a case of Kumari watershed in western part of West Bengal. Model Earth Syst Environ 2(1):1
• 22. Gleeson T, Wada Y (2013) Assessing regional groundwater stress for nations using multiple data sources with the groundwater footprint. Environ Res Lett 8:044010
• 23. Girotto M, Rodell M (2019) Terrestrial water storage. In: Extreme hydroclimatic events and multivariate hazards in a changing environment: a remote sensing approach, 1st edn. Elsevier, pp 41–64
• 24. Halder S, Roy MB, Roy PK (2020) Analysis of groundwater level trend and groundwater drought using standard groundwater level index: a case study of an eastern river basin of West Bengal. India SN Appl Sci 2(3):1–24
• 25. Han D, Cao G (2018) Phase difference between groundwater storage changes and groundwater level fluctuations due to compaction of an aquifer-aquitard system. J Hydrol 566:89–98
• 26. Herbert C, Döll P (2019) Global assessment of current and future groundwater stress with a focus on transboundary aquifers. Water Resour Res 55(6):4760–4784
• 27. Herrera-Pantoja M, Hiscock K (2008) The effects of climate change on potential groundwater recharge in Great Britain. Hydrol Process 22:73–86
• 28. Holman I, Tascone D, Hess TA (2009) Comparison of stochastic and deterministic downscaling methods for modelling potential groundwater recharge under climate change in East Anglia, UK: implications for groundwater resource management. Hydrogeol J 17:1629–1641
• 29. Islam MSN, Gnauck A (2009) Threats to the Sundarbans mangrove wetland ecosystems from transboundary water allocation in the Ganges basin: A preliminary problem analysis. Int J Ecol Econ Stat 13(9):64–78
• 30. Jakeman AJ, Barreteau O, Hunt RJ, Rinaudo JD, Ross A (2017) Integrated groundwater management concepts, approaches and challenges, 54th edn. Springer, Berlin
• 31. John B, Das R, Das S (2018) An overview of the development of groundwater resources in India with special reference to West Bengal and Kolkata. Int J Emerg Trends Eng Dev 8(3):1–10
• 32. Jyrkama MI, Sykes JF (2007) The impact of climate change on spatially varying groundwater recharge in the grand river watershed (Ontario). J Hydrol 338:237–250
• 33. Kundewicz ZW, Döll P (2009) Will groundwater ease freshwater stress under climate change? Hydrol Sci J 54:665–675
• 34. Liu L, Parkinson S, Gidden M, Byers E, Sato Y, Riahi K, Forman B (2018) Quantifying the potential for reservoirs to secure future surface water yields in the world’s largest river basins. Environ Res Lett 13(4):044026
• 35. Li X, Xu X, Liu W, Xu C, Zhang R, Wang K (2019) Prediction of profile soil moisture for one land use using measurements at a soil depth of other land uses in a karst depression. J Soils Sediments 19(3):1479–1489
• 36. Long D, Chen X, Scanlon BR, Wada Y, Hong Y, Singh VP, Yang W (2016) Have GRACE satellites overestimated groundwater depletion in the Northwest India Aquifer? Sci Rep 6:24398
• 37. Mandal U, Sahoo S, Munusamy SB, Dhar A, Panda SN, Kar A, Mishra PK (2016) Delineation of groundwater potential zones of coastal groundwater basin using multi-criteria decision making technique. Water Resour Manage 30(12):4293–4310
• 38. Menon SV (2007) Ground water management: need for sustainable approach. MPRA Paper No. 6078, posted 4 December
• 39. Mohan C, Western AW, Wei Y, Saft M (2018) Predicting groundwater recharge for varying land cover and climate conditions—a global meta-study. Hydrol Earth Syst Sci 22:2689–2703
• 40. Marwah M (2018) Mapping institutions for assessing groundwater scenario in West Bengal, India. Institute for Social and Economic Change, Bangalore
• 41. Mukherjee A, Bhanja SN, Wada Y (2018) Groundwater depletion causing reduction of baseflow triggering Ganges river summer drying. Sci Rep 8(1):1–9
• 42. Nath BK, Chaliha C, Bhuyan B, Kalita E, Baruah DC, Bhagabati AK (2018) GIS mapping-based impact assessment of groundwater contamination by arsenic and other heavy metal contaminants in the Brahmaputra River valley: a water quality assessment study. J Clean Prod 201:1001–1011
• 43. Panda DK, Wahr J (2016) Spatiotemporal evolution of water storage changes in India from the updated GRACE-derived gravity records. Water Resour Res 52(1):135–149
• 44. Patra S, Mishra P, Mahapatra SC (2018) Delineation of groundwater potential zone for sustainable development: a case study from Ganga Alluvial Plain covering Hooghly district of India using remote sensing, geographic information system, and analytic hierarchy process. J Clean Prod 172:2485–2502
• 45. Piantanakulchai M, Saengkhao N (2003) Evaluation of alternatives in transportation planning using multi-stakeholders multi-objectives AHP modeling. Proc Eastern Asia Soc Trans Stud 4:1613–1628
• 46. Richey AS, Thomas BF, Lo MH, Reager JT, Famiglietti JS, Voss K, Rodell M (2015) Quantifying renewable groundwater stress with GRACE. Water Resour Res 51(7):5217–5238
• 47. Rodell M, Houser PR, Jambor U, Gottschalck J, Mitchell K, Meng CJ, Arsenault K, Cosgrove B, Radakovich J, Bosilovich M, Entin JK, Walker JP, Lohmann D, Toll D (2004) The global land data assimilation system. Bull Am Meteor Soc 85:381–394
• 48. Rodell M, Velicogna I, Famiglietti JS (2009) Satellite-based estimates of groundwater depletion in India. Nature 460:999–1002
• 49. Saaty TL (1980) The analytic hierarchy process: planning, priority setting, resource allocation. McGraw Hill, New York
• 50. Saaty TL (1990) Multicriteria decision making: the analytic hierarchy process: planning, priority setting. Resour Alloc 2:1–20
• 51. Sahoo S, Dhar A, Debsarkar A, Kar A (2019) Future scenarios of environmental vulnerability mapping using grey analytic hierarchy process. Nat Resour Res 28(4):1461–1483
• 52. Salimi AH, Masoompour Samakosh J, Sharifi E, Hassanvand MR, Noori A, von Rautenkranz H (2019) Optimized artificial neural networks-based methods for statistical downscaling of gridded precipitation data. Water 11(8):1653
• 53. Shamsudduha M, Taylor RG, Longuevergne L (2012) Monitoring groundwater storage changes in the highly seasonal humid tropics: validation of GRACE measurements in the Bengal Basin. Water Resour Res 48(2):1–12
• 54. Shankar PV, Kulkarni H, Krishnan S (2011) India’s groundwater challenge and the way forward. Econ Political Weekly 46(2):37–45
• 55. Shah T (2009) Taming the anarchy: groundwater governance in South Asia. Resources for the future, Washington and International Water Management Institute, Colombo
• 56. Sharifi E, Eitzinger J, Dorigo W (2019) Performance of the state-of-the-art gridded precipitation products over mountainous terrain: a regional study over Austria. Remote Sens 11(17):1–20
• 57. Singh AK, Jasrotia AS, Taloor AK, Kotlia BS, Kumar V, Roy S, Sharma AK (2017) Estimation of quantitative measures of total water storage variation from GRACE and GLDAS-NOAH satellites using geospatial technology. Quat Int 444:191–200
• 58. Singh R, Kumar R (2019) Climate versus demographic controls on water availability across India at 1.5° C, 2.0° C and 3.0° C global warming levels. Global Planet Change 177:1–9
• 59. Singh DK, Singh AK (2002) Groundwater situation in India: problems and perspectives. Int J Water Resour Dev 18(4):563–580
• 60. Singh AK, Tripathi JN, Kotlia BS, Singh KK, Kumar A (2019) Monitoring groundwater fluctuations over India during Indian Summer Monsoon (ISM) and Northeast monsoon using GRACE satellite: Impact on agriculture. Quatern Int 507:342–351
• 61. Sridhar V, Ali SA, Lakshmi V (2019) Assessment and validation of total water storage in the Chesapeake Bay watershed using GRACE. J Hydrol: Reg Stud 24:100607
• 62. Torres-Rua A, Ticlavilca A, Bachour R, McKee M (2016) Estimation of surface soil moisture in irrigated lands by assimilation of Landsat vegetation indices, surface energy balance products, and relevance vector machines. Water 8(4):167
• 63. Vaux H (2011) Groundwater under stress: the importance of management. Environ Earth Sci 62:19–23
• 64. Voss KA, Famiglietti JS, Lo M, De Linage C, Rodell M, Swenson SC (2013) Groundwater depletion in the Middle East from GRACE with implications for transboundary water management in the Tigris-Euphrates-Western Iran region. Water Resour Res 49:904–914
• 65. Wakode HB, Baier K, Jha R, Azzam R (2018) Impact of urbanization on groundwater recharge and urban water balance for the city of Hyderabad, India. Int Soil Water Conserv Res 6(1):51–62
• 66. Youssef AM (2015) Landslide susceptibility delineation in the Ar-Rayth area, Jizan, Kingdom of Saudi Arabia, using analytical hierarchy process, frequency ratio, and logistic regression models. Environ Earth Sci 73(12):8499–8518