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Impact of Land-Use Changes on the Runoff of Nandigama, Andhra Pradesh, India

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Języki publikacji
EN
Abstrakty
EN
Present study investigated the effect of land-use variations on the excess flow for a Nandigama, Andhra Pradesh, India by using HEC-HMS model. The model was calibrated and validated using observed rainfall and runoff data. The R2and NSE values were both greater than 0.65 after calibration, indicating a reasonable fit of the model. An analysis was conducted to understand how the land-use changes in a basin have affected the runoff. The analysis revealed that the stream flow increased due to variations in land use, and a reduction in the timing of peak flow at the outlet was observed. Additionally, the study analysed the trend of maximum rainfall time series and found that the months of June, July, and August show a decreasing trend in maximum rainfall over the study period, while other months show an increasing trend. The results of the analysis can be used to implement informed policies and management practices aimed at mitigating the negative impact of land-use changes and climate changes in Nandigama.
Słowa kluczowe
Twórcy
  • Department of Civil Engineering, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Andhra Pradesh, 515002, India
autor
  • Department of Civil Engineering, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Andhra Pradesh, 515002, India
Bibliografia
  • 1. Amarasinghe, U., Amarnath, G., Alahacoon, N., Ghosh, S. 2020. How do floods and drought impact economic growth and human development at the sub-national level in India? Climate, 8(11), 123.
  • 2. Bertilsson, L., Wiklund, K., Tebaldi, I.M., Rezende, O.M., Veról, A.P., Miguez, M.G. 2019. Urban flood resilience a multi-criteria index to integrate flood resilience into urban planning. Journal of Hydrology, 573, 970–982.
  • 3. Chen, J., Chen, W., Huang, G. 2021. Assessing urban pluvial flood resilience based on a novel gridbased quantification method that considers human risk perceptions. Journal of Hydrology, 601(9), 126601.
  • 4. Dasallas, L., Kim, Y., An, H. 2019. Case study of HEC-RAS 1D–2D coupling simulation: 2002 Baeksan flood event in Korea. Water, 11(10), 2048.
  • 5. Guan, M., Liang, Q., Hou, J. 2021. Editorial: smart approaches to predict urban flooding: current advances and challenges. Frontiers in Earth Science, 9(240). doi:10.3389/feart.2021.681751.
  • 6. He, J., Qiang, Y., Luo, H., Zhou, S., Zhang, L. 2021. A stress test of urban system flooding upon extreme rainstorms in Hong Kong. Journal of Hydrology, 597(4), 125713.
  • 7. Pallavi, R., Rekha Rani, K., Shashikanth, K., Rajasekhar, P., Shashtri, H. 2022. Intricate flood flow advancement modelling in the Krishna River Sub Basin, India. ISH Journal of Hydraulic Engineering 00(00), 1–10.
  • 8. Prakash Mohanty, M., Nithya, S., Nair, A.S., Indu, J., Ghosh, S., Mohan Bhatt, C., Srinivasa Rao, G., Karmakar, S. 2020. Sensitivity of various topographic data in flood management: implications on inundation mapping over large data-scarce regions. Journal of Hydrology, 590, 125523.
  • 9. Puno, G.R., Puno, R.C.C., Maghuyop, I.V. 2022. Flood hazard simulation and mapping using digital elevation models with different resolutions. Spatial Information Research, 8(3), 339–352.
  • 10. Rafiq, S., Salim, R., Nielsen, I. 2016. Urbanization, openness, emissions, and energy intensity: a study of increasingly urbanized emerging economies. Energy Economics, 56, 20–28.
  • 11. Rangari, V.A., Umamahesh, N.V., Bhatt, C.M. 2019. Assessment of inundation risk in urban floods using HEC RAS 2-D. Modeling Earth Systems and Environment, 5(4), 1839–1851.
  • 12. Yarrakula, K., Kumar, K.S., Samrat, G. 2016. Hydrodynamic modeling of Krishna river for the assessment of flood affected areas using remote sensing and GIS. Ecology, Environment and Conservation, 22(1), 325–331.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7e8a2b8c-8e4c-4fff-bdc4-ea2aecc797b1
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