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  Subjects -> WATER RESOURCES (Total: 160 journals)
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Journal of Water Resource Engineering and Management
Number of Followers: 5  
 
  Full-text available via subscription Subscription journal
ISSN (Online) 2349-4336
Published by STM Journals Homepage  [66 journals]
  • Validating the Gravity Recovery and Climate Experiment (GRACE) terrestrial
           water storage dataset using Terra MODIS NDVI anomaly.

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      Authors: Sachin Malhari Bhere; Shweta Panaskar, Raju Narwade, Karthik Nagarajan
      Abstract: The Gravity Recovery and Climate Experiment (GRACE) is the advance tool for mapping the changes in the gravitation field of the earth. The satellite launches in 2002 and the follow off mission is in 2016. The gravitational changes of the earth are downscaled into the changes in the mass with the different algorithm by three institutions. Further the mass anomaly is converted into the equivalent water thickness of the terrestrial water storage which comprises of different water component which can be used and modelled for different application. The objective of this paper is to validate the GRACE data for soil moisture and land use analysis using MODIS NDVI anomaly. For calculating NDVI index Moderate resolution imaging spectroradiometer (MODIS) vegetation index product is used. NDVI is used to determine the condition of healthy vegetation. It ranges from -1 to 1. These values represent the health of vegetation. Values near one represent the healthy vegetation. It is calculated by taking ratios of spectral reflectance of NIR and Red spectrum of electromagnetic wave. The study shows the GRACE includes all aspects of water storage deficit including groundwater and soil moisture which important for region like Western Ghat as many farmers depends on ground water resources like well and borewells. NDVI sometimes fails to show the monsoon drought condition but it can be used to for characterization of post monsoon condition as it shows the vegetation health index. The study significant correlation with GRACE and NDVI, one should adopt these indices for characterization of Vegetation, soil moisture and canopy cover.
      PubDate: Wed, 01 Jun 2022 06:55:58 +000
       
  • Estimation of Peak Flood Discharge for the Ungauged Catchments in the
           Tributaries of River Sutlej using Synthetic Unit Hydrograph Approach

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      Authors: C. Srishailam; N. Vivekanandan
      Abstract: Estimation of peak flood discharge (PFD) for a given return period is of utmost importance for planning and design of hydraulic structures, river protection works, and development of integrated water resources management projects which can be computed by applying various approaches viz., flood frequency analysis, rational formula, envelope curve and synthetic unit hydrograph (SUH). In this paper, SUH approach is adopted for estimation of PFD for the ungauged catchments viz. Saisso Khad up to Giabong village, Saisso Khad between Giabong and Rushkling villages, and Kannam Nallah up to Kannam Village (viz. Kannam Khad) in the tributaries of river Sutlej in Tehsil Pooh, Kinnaur District, Himachal Pradesh. For this purpose, rainfall depth (i.e., 24-hour maximum rainfall) is considered as one of the inputs which can be estimated through extreme value analysis (EVA) by fitting Extreme Value Type-1, 2-parameters Log Normal and Log Pearson Type-3 (LP3) distributions to the annual 1-day maximum rainfall data series. The estimators of the parameters of the distributions are determined by method of moments and used for estimation of rainfall for different return periods. Goodness-of-Fit (viz. Chi-square and Kolmogorov-Smirnov) and diagnostic (viz., D-index) tests are applied for checking the adequacy of fitting probability distributions adopted in EVA. The rainfall depth is computed by multiplying the estimated 1-day maximum rainfall using LP3 with 1.15 and used as an input for estimation of PFD. The paper presents the procedures adopted in estimation of PFD for the ungauged catchments in the tributaries of river Sutlej using SUH and the results obtained thereon.
      PubDate: Wed, 01 Jun 2022 06:49:26 +000
       
  • Extreme Value Analysis of Rainfall using L-Moments of Five Probability
           Distributions for Chandwa and Latehar Sites in Jharkhand

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      Authors: N. Vivekanandan
      Abstract: Estimation of rainfall for a given return period is of utmost importance for planning, design and management of civil and hydraulic structures. This can be achieved by conducting Extreme Value Analysis (EVA) of rainfall that consists of fitting probability distributions (PDs) to the annual maximum series of rainfall. In this paper, a study on intercomparison of L-Moments (LMO) of five PDs viz., Extreme Value Type-1 (EV1), Extreme Value Type-2, Generalized Extreme Value (GEV), Pareto and 2-parameter Log Normal for estimation of rainfall for Chandwa and Latehar sites is carried out. The adequacy of fitting five PDs adopted in EVA of rainfall is quantitatively assessed by applying the Goodness-of-Fit (viz., Chi-square and Kolmogorov-Smirnov) and diagnostic (viz., D-index) tests, and qualitatively assessed by using the probability plots of the estimated rainfall. The EVA results of rainfall indicate the GEV is better suited distribution for rainfall estimation for Chandwa while EV1 for Latehar.  
      PubDate: Wed, 01 Jun 2022 06:13:10 +000
       
  • ASSESSMENT OF BUILDING AGAINST FLOOD

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      Authors: Birendra Kumar Singh
      Abstract: Flood problem is vital problem for building, railway track, highway etc. Thrust of water due to standing water & velocity of flow taken place on building i.e. above G.L. & below G.L. due to percolation of water. If 70 cm thick layer of silty sand is spread all around the building the percolation of water below G.L. is prevented. Here analysis is made due to thrust taking place of water below G.L. & velocity of water. Above G.L. the thrust exerted by water is sustained by brick masonry which strength is 6 kg/cm2.  Below G.L. the soil may be sandy or clayey.
      PubDate: Tue, 08 Mar 2022 12:09:42 +000
       
  • Computation Analysis of Selected Communities Water Quality Assessment

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      Authors: C. Ukpaka; B.G. Jephter
      Abstract: The study is aimed at evaluating water quality based on assessed parameters for Ede, Erema, Obagi and Oboboru Communities groundwater. The mathematical computations using water quality index model (WQI) reveals WQI ranges as 53.89, 23.85, 33.06 and 36 for Ede, Erema, Obagi and Oboboru Communities indicating poor water quality for Ede Community and good water quality for Erema, Obagi and Oboboru Communities. Therefore, there is need to treat groundwater from Ede Community before it will be supplied to the general public.
      PubDate: Tue, 08 Mar 2022 12:04:39 +000
       
  • Groundwater Darcy Velocity from underground Temperature: A Focus on the
           City of Turin (NW Italy)

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      Authors: Diego Barbero; ANDREA MARONI, SANDRA PEYROT
      Abstract: We report on an application of a methodology for inferring water transfer in a shallow aquifer by using analytical models of interpretation of heat transport by advection and conduction in permeable horizons. In this research, we highlight as the statistical interpretation of thermal data is a tool to obtain a quantitative estimation of the horizontal component of the Darcy velocity in a shallow aquifer. This study is based on the collection of temperature data, recorded in boreholes entirely developed within the Quaternary fluvial and outwash deposits, in which the heat transfer is affected both by advection and conduction with an important contribution, in the first several meters of the subsurface, by the seasonal climatic oscillations on temperature distribution. As an example of application of the methodology, we select the city of Turin (NW Piedmont Region) where an important shallow aquifer occurs. The shallow subsoil of Turin city consists of Pleistocene fluvial and outwash sediments with gravelly and sandy texture linked to the amount of Alpine watercourses that have modeled the major Alpine fan on which the city of Turin is built. The shallow aquifer, hosted in the Quaternary cover, shows a thickness ranging between 20 and 50 meters depth. The application of the statistical analysis to thermometric data (i.e. processing also the data with disturbances connected to seasonal fluctuations) returns values with an attenuation of the Darcy velocity. The application of the method to thermometric data only affected by seasonal fluctuation returns velocity results with differences up to 4 orders of magnitude that suggests the method is not applied; whereas, the application of the analysis of the data collected below the seasonal fluctuations depth range, returns velocity results of about 10-5–10-6 m·s-1 and thermal profiles that suggest an aquifer in perfect thermal equilibrium. 
      PubDate: Fri, 31 Dec 2021 09:18:04 +000
       
 
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