Abstract
Flood seems like a pragmatic natural disaster when water stagnant has been prolonged up to 3 to 4 months. Severe water-logged situation poses to negative impact on agricultural production and productivity. In this context, the present study was investigated to assess the flood-prone areas of different panchayats in Sabour block with the aid of modern tools of RS&GIS. Landsat ETM+ , IRS-LISS III and Carto DEM have been employed to delineate the vulnerable zones in flood-prone areas of Sabour block, and had a visible impact on Kharif and Rabi crops. NDVI and spectral enhancement techniques had also been advocated to characterize and trace out tress less ecology in Tal land (heavy textured) and Diara land (light-textured soils). The results revealed that, out of 100%, only 32% of the agricultural lands (Chandheri, Baijalpur, Khankitta and Parghari panchayat) were highly affected due to frequent subsequent flood. From physio-chemical properties of soils, soil pH value was ranged from 6.25 to 7.89 which justify the slightly acidic to neutral in reaction. While the EC value content is found to be less than 1 dSm−1 and enable to justify safe for agricultural operation. From fertility point of view, low oxidisable organic carbon and available nitrogen have been observed in flood-prone areas. Whereas, low to medium and medium to high available phosphate and available potassium content were observed in the studied area. The geostatical point of view, there was more coefficient of variation of observed (>20%) in all soil nutrient’s except soil pH, i.e., all soil nutrients geographically well distributed in study areas. From ongoing discussion, we could emphatically conclude that judicious application of organic and inorganic fertilizer enables to maintain the soil health and soil quality, and adequate land use planning offers to promote suitable aquaculture in spite of fallow land situation after recession of flood.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Billa L, Shattri M, Mahmud AR, Ghazali AH (2006) Comprehensive planning and the role of SDSS in flood disaster management in Malaysia. Dis Prev Manag 15:233–240
Brivio PA, Colombo RM, Tomasoni R (2002) Integration of remote sensing data and GIS for accurate mapping of flooded areas. Int J Remote Sens 23(2):429–441
Cleve C, Kelly M, Kearns FR, Moritz M (2008) Classification of the wildland–urban interface: a comparison of pixel- and object-based classifications using high-resolution aerial photography. Comput Environ Urban Syst 32(4):317–326
Dewan AM, Kankam YK, Nishigaky M (2006) Using synthetic aperture radar (SAR) data for mapping river water flooding in an urban landscape: a case study of greater Dhaka, Bangladesh. J Jpn Soc Hydrol Water Resour 19(1):44–55
Du J, Fang J, Xu W, Shi P (2013) Analysis of dry/wet conditions using the standardized precipitation index and its potential usefulness for drought/flood monitoring in Hunan Province China. Stoch Env Res Risk Assess 27(2):377–387
Hanway JJ, Heidal H (1952) Soil analysis as used in lowa state college of soil testing laboratory. Lowa Agric 57:1–37
Huang X, Tan H, Zhou J, Yang T, Benjamin A, Li S, Liu A, Fen S, Li X (2008) Flood hazard in Hunan province of China: an economic loss analysis. Nat Hazards 47:65–73
Indian Meteorological Departments (2012) Annual report, Climatic Data of Indian States, pp 29–56
Jackson ML (1973) Soil chemical analysis. Prentice Hall of India, New Delhi, pp 256–260
Jain SK, Singh RD, Jain MK, Lohani AK (2005) Delineation of flood-prone areas using remote sensing techniques. Water Resour Manage 19(4):333–347
Jeb DN, Aggarwal SP (2008) Flood inundation hazard modelling of the River Kaduna using remote sensing and geographic information systems. J Appl Sci Res 4(12):1822–1833
Jensen JR (2005) An introductory digital image processing: a remote sensing perspective. Prentice Hall, New Jersey, p 526
Kale VS, Pramod H (1997) Flood hydrology and geomorphology of monsoon dominated rivers; the Indian Peninsula. Water Int 22(4):259–265
Kia MB, Pirasteh S, Pradhan B, Rodzi MA, Sulaiman WNA, Moradi A (2012) An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia. Environ Earth Sci 67:251–264
Kundzewicz ZW, Hirabayashi Y, Kanae S (2009) River floods in the changing climate—observations and projections. Water Resour Manage 24(11):2633–2646
Merz B, Kreibich H, Schwarze R, Thieken A (2010) Assessment of economic flood damage. Nat Hazard Earth Syst Sci 10:1697–1724
Olsen SR, Cole CV, Watanabe FS, Dean LA (1954) Estimation of available phosphorus in soils by extraction with sodium bicarbonate. Government of Printing Office Washington DC USDA Circular, vol 939, pp 1–19
Panse VG, Sukhatme PV (1985) Statistical methods for agricultural workers. Indian Council of Agricultural Research Publication, pp 87–89.
Parker FW, Nelson WL, Winters E, Miles JE (1951) The broad interpretation and application of soil test summaries. Agron J 43(3):103–112
Pourghasemi HR, Pradhan B, Gokceoglu C (2012) Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed Iran. Nat Hazards 63:965–996
Pradhan B (2010) Flood susceptible mapping and risk area delineation using logistic regression, GIS and remote sensing. J Spat Hydrol 9:1–18
Rahman MR (2006) Flood inundation mapping and damage assessment using multi-temporal RADARSAT and IRS 1C LISS III image. Asian J Geoinf 6(2):11–21
Rai PK, Mohan K (2014) Remote sensing data & GIS for flood risk zonation mapping in Varanasi District. Forum Geogr J (romania) 13(1):25–33
Rai PK, Mishra VN, Singh P (2018) Hydrological Inferences through Morphometric Analysis of Lower Kosi River Basin of India for water resource management based on remote sensing data. Appl Water Sci (springer) 8(15):1–16
Rai PK, Nathawat MS, Anurag N (2008) Temporal behavior of waterlogged area using multi-temporal satellite data. Deccan Geogr (the J Deccan Geogr Soc) 46(2):67–74
Ramamoorthy B, Bajaj JC (1969) Available nitrogen, phosphorus and potassium status of Indian soils. Fertilizer News 14:25–28
Reger B, Otte A, Waldhardt R (2007) Identifying of land cover change and their physical attributes in a marginal European landscape. Landsc Urban Plan 81:104–113
Rouse VK, Gommes R, Baier W (1973) Agro meteorology and sustainable agriculture. Agric for Meteorol 103:11–26
Serra P, Pons X, Sauri D (2008) Land-cover and land-use change in a Mediterranean landscape: a spatial analysis of driving forces integrating biophysical and human factors. ApplGeogr 28(3):189–209
Shastri, S., Singh,P., ,Verma,P., Rai, P.K., Singh, A.P. 2020. Assessment of spatial changes of land use/land cover dynamics, using multi-temporal Landsat data in Dadri Block, Gautam Buddh Nagar, India, Forum Geographic, Volume XIX, Issue 1 (June 2020), pp. 72–79.
Subbiah BV, Asija GL (1956) A rapid procedure for the estimation of available nitrogen in soils. Curr Sci 25:259–266
Tehrany MS, Pradhan B, Jebur MN (2015) Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method. Stoch Environ Res Risk Assess 29:1149–1165
Voigt S, Martinis S, Zwenzner H, Hahmann T, Twele1 A, Schneiderhan T (2008) Extraction of flood masks using satellite based very high-resolution SAR data for flood management and modeling. In: Fourth international symposium on flood defence: managing flood risk, reliability and vulnerability, Toronto, Ontario, Canada
Walkley A, Black CA (1934) An examination of wet acid method for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil Sci 37:29–38
Wanders N, Karssenberg D, Roo A, Jong SM, Bierkens MFP (2014) The suitability of remotely sensed soil moisture for improving operational flood forecasting. Hydrol Earth Syst Scence 18:2343–2357
WHO (2003) Disaster data-key trends and statistics in world disasters report. WHO, Geneva, Switzerland, p 321
Youssef AM, Pradhan B, Hassan AM (2011) Flash flood risk estimation along the St.Katherine road, southern Sinai, Egypt using GIS based morphometry and satellite imagery. Environ Earth Science 62:611–623
Zhang J, Tomoharu H, Zhang C, Matsumoto T (2014) GIS and flood inundation model-based flood risk assessment in urbanized floodplain. GIS RS Hydrol Water Resour Environ 1:92–99
Acknowledgements
Authors are thankfully acknowledged to Chairman, SSAC, BAC, Sabour for providing laboratory facility and his kind support during research work. Dr. Y. K. Singh, Department of soil science and agricultural chemistry, BAU, Sabour is also acknowledged for providing guidance and support through the research.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Vimal, B.K., Bagoria, N., Kumar, R., Singh, Y.K., Kumari, R. (2021). RS-GIS Based Constructive Measures for Flood Prone Agricultural Land of Sabour Block of Bhagalpur District, Bihar. In: Rai, P.K., Singh, P., Mishra, V.N. (eds) Recent Technologies for Disaster Management and Risk Reduction. Earth and Environmental Sciences Library. Springer, Cham. https://doi.org/10.1007/978-3-030-76116-5_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-76116-5_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-76115-8
Online ISBN: 978-3-030-76116-5
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)