XXII ISPRS Congress 2012: Technical Commission VIII

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

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

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

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

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

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

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

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

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

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

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

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

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/4: Water]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: 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

Document type:: Multivolume work

Structure type:: Chapter

90- gol A s» Distributed d m m À € Lumped Es i $ so i * À Observed X brinda O 4 fig 5 30 | a 1 TR, A 104 | A sr cou TY T T T T Y. T T T T T T T T 1 Q0 20 40 60 80 1C0 120 14C i50 180 280 Time (3-h interval) Figure 2. Simulated runoff hydrograph for the rainfall event on 21-6-96 approach gave good results in respect of watershed response against rainfall as compared to the lumped approach. The model simulated the heterogeneity of catchment characteristics and provided reasonable prediction, although the spatial distribution of rainfall is only given by five recording raingauge stations. Further, degree of spatial variability in a watershed can be represented by number of unique combinations of soil type and land use in the watershed but this methodology may fail if different combinations of soil and land use result in virtually equivalent curve numbers (Manguerra and Engel, 1998). However, this problem can be eliminated by using the curve number as the final measure of the watershed's spatial variability. For evaluation of grid size on the runoff depth, spatially distributed curve numbers were generated for different grid sizes of 23, 46, 92, 184, 368, 736 and 1472 m. and the resulting runoff for these grid resolutions was shown as figure 3. From the figure it is observed that the difference between simulated and observed runoff increases with the increase of grid size beyond 184 m. It may be observed that with increased grid resolution, response of watershed to hydrological process tend to be lumped. However, simulation of watershed with small grid size is more complex as spatial variation of hydrological parameters is high. Increasing grid size helps in simpler analysis with increased assumptions at the cost of accuracy in the results. Hence, sensitivity analysis of effect of grid size on runoff depth is a complex phenomenon and needs to make balance between computational time and accuracy. An analysis more detailed than manual methods is possible using a GIS integrated with distributed hydrological model offering crucial insight into effects of cell size. Thus, the grid cell size should be chosen such that the flow-path lengths in the drainage network are closely approximated. The modelling approach is capable of continuously simulating flow in distributed fashion for analyzing the impact of land use changes and as well as climate variability. Further, this model can be used to evaluate a futuristic water availability scenario for an agricultural watershed in eastern India. 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 0s 055 - OB. a 045 or E os Resolution(m) 2 035 ay $ o3. PU 5 225 une OY) z 02 ma 184 | 0.15 + 388 : od 788 di m 1472 Od : ' 2 so 100 150 Rainfall depth (mm) Figure 3. Effect of grid resolution on runoff coefficient 5. CONCLUSIONS The main advantage of distributed modeling is that the spatial variation of parameters is incorporated into the model response. Runoff prediction is a major component of watershed hydrologic modelling whether for resource conservation or environmental protection. In the present study, the distributed hydrological modelling approach considered the heterogeneity of catchment characteristics and provided reasonable prediction, although the spatial distribution of rainfall is only given by five recording raingauge stations. Advances in continuous time, distributed parameter hydrologic modeling as well as its integration with Geographical Information Systems (GIS) have led to the development of powerful tools for predicting runoff from watersheds. Particularly, GIS allowed the combination of remotely sensed data with spatial data forms such as topography, soil maps, and hydrologic variables such as rainfall distribution and soil moisture. This study has described the importance of parameterization issues involved when predicting watershed stream runoff. 6. REFERENCES Abbott, MB, Bathurst, JC, Cung JA., O’Connell, PE, Rasmusses, J., 1986. An introduction to the European Hydrological System-Systeme. Hydrologique European SHE 2: Structure of a physically based distributed modelling system. J. Hydrolo, 87, 61-77. Beven, KJ. 1985. Distributed Model, In: MG Anderson and TP Burt (eds.), Hydrological Forecasting, Wiley Beven, KJ,, Kirby, MJ., Schofield, N., Tagg AF., 1984. Testing a physically based flood forecasting model (TOPMOEL) for three UK catchments, J Hydrol. 69:119-143. Arnold, JG., Williams, JR., Srinivasan, R., and King, KW., 1995. SWAT: Soil Water Assessment Tool, Texas A&M University, Texas Agricultural Experimental Station, Blackland Research Center, 808 East Blackland Road, Temple, Texas. Beasley, DB., Huggins, LF., and Monke, EJ., 1980. ANSWERS: A Model for watershed planning. Transactions of the ASAE. 23(4):938-944. Intern: Chow, ' Newyork Chowdar Modellin Sensing. Cunge, computa 7(2):209 Diskin, | model tc Diskin, distribut Resourc Dooge, . Agric. B Foster, ‘ Water | No.1, 1 Lafayett Greene, using g Manag, Maidme Proceed Integrat Environ 1991. 0 Morris, forecast mathen Natural Report. Londor Pandey and se waters} 348:30: Ponce, reachec Ponce, methoc 104(H) SCS, 1 soil co: Stuebe using ( US Ar packag Engine

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