XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

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Persistenter Identifier:: 1663813779

Titel:: XXII ISPRS Congress 2012

Untertitel:: Melbourne, Australia, 25 August-1 September 2012

Erscheinungsjahr:: 2013

Erscheinungsort des Originals:: Red Hook, NY

Verlag des Originals:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Sprache:: Englisch

Sonstige Anmerkungen:: Kongress-Thema: Imaging a sustainable future

Körperschaften:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Bearbeiter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Begründer eines Werks:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Sonstige Körperschaft:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Dokumenttyp:: Mehrbändiges Werk

Band

Persistenter Identifier:: 1663822514

Titel:: Technical Commission VIII

Umfang:: 590 Seiten

Erscheinungsjahr:: 2014

Erscheinungsort des Originals:: Red Hook, NY

Verlag des Originals:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustrationsangabe:: Illustrationen, Diagramme

Signatur der Quelle:: ZS 312(39,B8)

Sprache:: Englisch

Sonstige Anmerkungen:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Nutzungslizenz:: Attribution 4.0 International (CC BY 4.0)

Herausgeber:: Shortis, M.; Shimoda, H.; Cho, K.

Körperschaften:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Bearbeiter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Begründer eines Werks:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Sonstige Körperschaft:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Verlag des Digitalisats:: Technische Informationsbibliothek Hannover

Erscheinungsort des Digitalisats:: Hannover

Erscheinungsjahr des Digitalisats:: 2019

Dokumenttyp:: Band

Sammlung:: Geowissenschaften

Kapitel

Titel:: [VIII/4: Water]

Dokumenttyp:: Mehrbändiges Werk

Strukturtyp:: Kapitel

Kapitel

Titel:: Runoff simulation using distributed hydrological modeling approach, remote sensing and GIS techniques: A case study from an Indian agricultural watershed. V. M. Chowdary, V. R. Desai, Mukesh Gupta, A. Jeyaram, Y. V. N. K. Murthy

Dokumenttyp:: Mehrbändiges Werk

Strukturtyp:: Kapitel

B8, 2012 1 Image Date | Sciences. 08). Vegetation ion of Western thematical and Australian soil RO Publishing. ment: An Earth arson Prentice Evaluating the 1tcrop wetlands t region: Stage vironment and )5). "Detecting thern Germany al for Nature J. & Harris, D. ver the State of roceedings 9th try Conference. dione, J. A. & om high-spatial t Valley Fever onment, 106(1): sing and Image ac. Data Online." | technique for Landsat data." 197-2203. yrphic approach egetatio, (118): it surface water e composites." )46. Monitoring the sets on multi- nment, 115(9): International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia Runoff simulation using distributed hydrological modeling approach, remote sensing and GIS techniques: À case study from an Indian agricultural watershed. V.M.Chowdary"", V.R.Desai?, Mukesh Gupta?, A Jeyaram!, Y.V.N.K.Murthy? 'Regional remote Sensing Centre (East), NRSC, ISRO Kolkata, India -700156 Department of Civil Engineering, IIT, Kharagpur, India- 721302 *DDRC, National remote Sensing Centre, Hyderabad, India *Corresponding author (chowdary_isro@yahoo.com; muthayya.chowdary@gmail.com) Working Group, Theme: VIII/4:Water Keywords: Distributed hydrological model, GIS, Remote sensing, Curve number, Muskingum-Cunge technique ABSTRACT: Distributed hydrological modeling has the capability of simulating distributed watershed basin processes, by dividing a heterogeneous and complex land surface divided into computational elements such as Hydrologic Response Units (HRU), grid cell or sub watersheds. The present study was taken up to simulate spatial hydrological processes from a case study area of Kansavati watershed in Purulia district of West Bengal, India having diverse geographical features using distributed hydrological modelling approach. In the present study, overland flow in terms of direct runoff from storm rainfall was computed using USDA Soil Conservation Services (SCS) curve number technique and subsequently it served as input to channel routing model. For channel flow routing, Muskingum-Cunge flood routing technique was used, specifically to route surface runoff from the different sub watershed outlet points to the outlet point of the watershed. Model parameters were derived for each grid cell either from remote sensing data or conventional maps under GIS environment. For distributed approach, validation show reasonable fit between the simulated and measured data and CMR value in all the cases is negative and ranges from -0.1 to - 0.3. Further, this study investigates the effect of cell size on runoff simulation for different grid cell sizes of 23, 46, 92, 184, 368, 736, 1472 m resolution. The difference between simulated and observed runoff values increases with the increase of grid size beyond 184 m more prominently. Further, this model can be used to evaluate futuristic water availability scenarios for an agricultural watershed in eastern India. 1. INTRODUCTION Hydrological behaviour of any watershed can be predicted through modeling. Particularly, the conversion of excess rainfall into surface runoff is traditionally analyzed by means of lumped models and these models assume that excess rainfall and physiographical conditions over a watershed are uniform. Thus errors can be introduced while simulating rainfall-runoff process using lumped models. Hence to overcome this difficulty, distributed modelling approach was proposed (Diksi et al., 1984). This approach has the capability of simulating the heterogeneity of both rainfall spatial distribution and catchment characteristics, may offer a better approach for runoff hydrograph simulation. Recent developments in the remote sensing technology and geographical information systems make It possible to capture and manage a vast amount of data of spatially distributed hydrological parameters and variables. Linking GIS and the hydrological modeling is very essential to achieve the desired objectives. As distributed models are more widely use in practice, the need of scientific principal relating to spatial variability, temporal and spatial resolution, information content and calibration become more apparent. One of the most widely used techniques for estimating direct runoff depths from storm rainfall is the United States Department of Agriculture (USDA) Curve Number (CN) method (SCS 1972). Greene and Cruise (1995) and Ponce and Hawkins (1996) identified the CN method as one of the most popular tools for calculating runoff depths. The description of the flow process in the numerous distributed rainfall-runoff models may be classified into two basic kinds (Beven, 1985). One is the kinematic wave approach for simulating the overland and channel flow (Abbott et al., 1986; Morris, 1980). The other is the conceptual storage approach (Diskin et al., 1984; Beven et al, 1984). Yu (1990) has a detailed literature review of the distributed rainfall runoff models. The conventional

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