BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

121 related articles for article (PubMed ID: 38728985)

  • 1. Rainfall analysis and deriving design storm for hydrological modelling of Koyna dam catchment area in Maharashtra state of India.
    Doiphode S; Swami V
    J Environ Manage; 2024 May; 359():121082. PubMed ID: 38728985
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Spatiotemporal Rainfall Variability and Trend Analysis of Shimsha River Basin, India.
    A B; Maddamsetty R; M M; T V R
    Environ Sci Pollut Res Int; 2023 Oct; 30(49):107084-107103. PubMed ID: 36764993
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Relationships between rainy days, mean daily intensity, and seasonal rainfall over the Koyna catchment during 1961-2005.
    Nandargi S; Mulye SS
    ScientificWorldJournal; 2012; 2012():894313. PubMed ID: 22654646
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Performance of urban storm drainage network under changing climate scenarios: Flood mitigation in Indian coastal city.
    Andimuthu R; Kandasamy P; Mudgal BV; Jeganathan A; Balu A; Sankar G
    Sci Rep; 2019 May; 9(1):7783. PubMed ID: 31123273
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Application of advanced trend analysis techniques with clustering approach for analysing rainfall trend and identification of homogenous rainfall regions in Delhi metropolitan city.
    Shahfahad ; Talukdar S; Islam ARMT; Das T; Naikoo MW; Mallick J; Rahman A
    Environ Sci Pollut Res Int; 2023 Oct; 30(49):106898-106916. PubMed ID: 35930147
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Flood hazard delineation in an ungauged catchment by coupling hydrologic and hydraulic models with geospatial techniques-a case study of Koraiyar basin, Tiruchirappalli City, Tamil Nadu, India.
    Natarajan S; Radhakrishnan N
    Environ Monit Assess; 2020 Oct; 192(11):689. PubMed ID: 33030599
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Influence of short- and long-term persistence on identification of rainfall temporal trends using different versions of the Mann-Kendall test in Mizoram, Northeast India.
    Pandey V; Pandey PK; Chakma B; Ranjan P
    Environ Sci Pollut Res Int; 2024 Feb; 31(7):10359-10378. PubMed ID: 37648925
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Case study of rainfall and temperature assessment through trend and homogeneity analyses in Vadodara and Chhotaudepur district of Gujarat State, India.
    Chandole V; Joshi GS
    Environ Monit Assess; 2023 Apr; 195(5):561. PubMed ID: 37052735
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Climate variability, vulnerability, and coping mechanism in Alaknanda catchment, Central Himalaya, India.
    Kumar K; Joshi S; Joshi V
    Ambio; 2008 Jun; 37(4):286-91. PubMed ID: 18686508
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Interaction of aerosol with meteorological parameters and its effect on the cash crop in the Vidarbha region of Maharashtra, India.
    Kumar N; Middey A
    Int J Biometeorol; 2022 Jul; 66(7):1473-1485. PubMed ID: 35507072
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Spatiotemporal variability identification and analysis for non-stationary climatic trends for a tropical river basin of India.
    Dixit S; Pandey KK
    J Environ Manage; 2024 Jul; 365():121692. PubMed ID: 38968884
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Possibility of using the STORAGE rainfall generator model in the flood analyses in urban areas.
    Wałęga A; Młyński D; Petroselli A; De Luca DL; Apollonio C; Pancewicz M
    Water Res; 2024 Mar; 251():121135. PubMed ID: 38290189
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Storm runoff generation in headwater catchments on the Chinese Loess Plateau after long-term vegetation rehabilitation.
    Jin Z; Guo L; Yu Y; Luo D; Fan B; Chu G
    Sci Total Environ; 2020 Dec; 748():141375. PubMed ID: 33113681
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Exploration of severities of rainfall and runoff extremes in ungauged catchments: A case study of Lai Chi Wo in Hong Kong, China.
    Xu Q; Chen J; Peart MR; Ng CN; Hau BCH; Law WWY
    Sci Total Environ; 2018 Sep; 634():640-649. PubMed ID: 29635206
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Geo-statistical analysis of climatic variability and trend detection in the Hindu Kush region, North Pakistan.
    Dawood M; Rahman AU; Rahman G; Nadeem B; Miandad M
    Environ Monit Assess; 2023 Dec; 196(1):4. PubMed ID: 38044361
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Assessment of the hydrological response of an urban watershed to rainfall-runoff events in different land use scenarios - Belo Horizonte, MG, Brazil.
    Rosa DWB; Nascimento NO; Moura PM; Macedo GD
    Water Sci Technol; 2020 Feb; 81(4):679-693. PubMed ID: 32460272
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Variability and time series trend analysis of rainfall in the mid-hill sub humid zone: a case study of Nauni.
    Mehta P; Jangra MS; Bhardwaj SK; Paul S
    Environ Sci Pollut Res Int; 2022 Nov; 29(53):80466-80476. PubMed ID: 35716306
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The Effect of Design Rainfall Patterns on Urban Flooding Based on the Chicago Method.
    Chen J; Li Y; Zhang C
    Int J Environ Res Public Health; 2023 Feb; 20(5):. PubMed ID: 36901254
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fingerprinting of rainfall over semi-arid region, Western India, using MATLAB and GIS.
    Choubey S; Kumari R; Chander S
    Environ Monit Assess; 2023 Apr; 195(5):610. PubMed ID: 37097495
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Uncertainty evaluation of design rainfall for urban flood risk analysis.
    Fontanazza CM; Freni G; La Loggia G; Notaro V
    Water Sci Technol; 2011; 63(11):2641-50. PubMed ID: 22049760
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.