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Application of remote sensing and GIS for sustainable development

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CC BY: Attribution 4.0 International. You can find more information here.

Bibliographic data

fullscreen: Application of remote sensing and GIS for sustainable development

Monograph

Persistent identifier:
856472832
Title:
Application of remote sensing and GIS for sustainable development
Sub title:
[Workshop on "Environmental Modelling Using RS & GIS for Sustainable Development" ... on 11th March 1999]
Scope:
82 Seiten
Year of publication:
1999
Place of publication:
Coventry
Publisher of the original:
RICS Books
Identifier (digital):
856472832
Illustration:
Illustrationen, Diagramme, Karten
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2016
Document type:
Monograph
Collection:
Earth sciences

Chapter

Title:
HYDROGEOMORPHIC CRITERIA IN GROUND WATER MODELLING. S. K. Subramanian
Document type:
Monograph
Structure type:
Chapter

Contents

Table of contents

  • Application of remote sensing and GIS for sustainable development
  • Cover
  • ColorChart
  • Title page
  • FOREWORD
  • Organisers
  • Editors
  • Sale Copies of Volume are available from: [...]
  • CONTENTS
  • SPACE TECHNOLOGY FOR SUSTAINABLE DEVELOPMENT. D. P. Rao
  • ECOLOGICAL ANALYSIS AND MODELLING : ISSUES AND CHALLENGES. Harini Nagendra and Madhav Gadgil
  • PRESENT AND ALTERNATE LANDUSE BASED ON NATURAL RESOURCES - ROLE OF REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEM. M. L. Manchanda & M. Kudrat
  • NATIONAL SOIL AND LAND DEGRADATION MAPPING - REMOTE SENSING PERSPECTIVE. L. Venkataratnam
  • GEOINFORMATICS FOR FOREST ECOSYSTEM MANAGEMENT. P.S. Roy
  • REMOTE SENSING AND GIS FOR MODELLING LAND DEGRADATION DUE TO MINING - A CONCEPT AND CASE STUDIES. A. Bhattacharya
  • REMOTE SENSING AND GIS FOR AGRICULTURAL CROP ACREAGE AND YIELD ESTIMATION. Vinay K. Dadhwal
  • INTEGRATED WATERSHED DEVELOPMENTAL PLANNING USING REMOTE SENSING & GIS. Y. V. N. Krishna Murthy, A. K. Sinha, A. Jeyaram, S. Srinivasa Rao, S. N. Das, D. S. Pandit, D. S. Srinivasan, C. K. Rajender
  • GROUNDWATER MODELLING FOR SUSTAINABLE DEVELOPMENT USING GIS TECHNIQUES. Novaline Jacob, J. Saibaba and P. V. S. P. Prasada Raju
  • HYDROGEOMORPHIC CRITERIA IN GROUND WATER MODELLING. S. K. Subramanian
  • Cover

Full text

80 
The process of mathematical modelling is comp 
osed of five steps viz. (i) formulation (ii) approximation/ 
transformation (iii) computation (iv) applications and (v) 
evaluation. 
Formulation refers to generation or selection of 
basic equation/algorithms governing the flow of ground 
water in the system with the domain specification and 
boundary conditions. Approximation relates to the 
selection of numerical method which can be used to 
solve the equations like finite difference, finite element 
and integrated finite difference, the equations normally 
used in ground water modelling. 
The complex step involved is computation which 
refers to the process of obtaining a solution to a large 
number of differential equations by way of using digital 
techniques with coding method. 
The application involves calibration or history 
matching of the observed and simulated heads, 
sensitivity analysis and prediction. Sensitivity tests are 
required to obtain how the model behaves in various 
extreme environments. 
The final step is evaluation of the model in the 
field condition. The results obtained in the field in 
different environments are to be evaluated by applying 
the model to arrive at the accuracy. 
Role of Remote Sensing and GIS in Ground Water 
Modelling 
At present traditional methods i.e. field mapping, 
surveying, soil profile analysis, pump test, yield 
estimation etc. are used to derive realistic parameter 
ization of the distributed heterogeneity. However, these 
methods have obvious deficiencies. They provide 
detailed “on point” information; but the regionalization 
of such point information and measurements describing 
their representativeness is still a question mark. 
By introducing the temporal analysis, potential of 
high resolution, sun synchronous earth observation 
satellite data with the powerful spatial analysis available 
from a Geographic Information System (GIS), it is 
possible to achieve Vegetation-Soil-Topography 
interface which is in turn related to landform charac 
teristics. This type of integration of Earth Observation 
data and GIS will overcome the present deficiencies to a 
greater extent and will provide a toolset for improved 
watershed or catchment model parameterization. 
Improper land and water management leads to 
environmental problems especially in the field of 
agriculture and forestry which are primarily related to 
the hydrological transport dynamics of stream 
catchments; management of water resources for a given 
watershed or river basin. Such environmental problems, 
can be differentiated into floods, land degradation and 
water pollution. They can only be dealt with through an 
integrated system approach consisting of Remote 
Sensing, GIS, processing and modelling techniques. 
Hydrogeomorphology plays an important role in 
ground water modelling especially on the data derived 
from remote sensing techniques. The following method 
will be useful in inputting the information for ground 
water modelling. 
CLASSIFICATION 
The physiographic properties on watershed basis 
can be improved with multitemporal, multi spectral and 
multi resolution data for maximum classification 
accuracy. 
IDENTIFICATION AND DELINEATION 
By means of GIS overlay analysis of geology, 
geomorphology, structure, physiography, climate, slope, 
drainage, soils and land use information, the hydro- 
logical response units, erosion response units can be 
identified. Further the grid cell analysis within GIS will 
reveal a detailed insight as connectivity, surface and 
ground water potential on intra and inter watershed 
basis. 
Parameterizing 
The utility of any model depends on the end user 
requirement, the social factors and economic parameters 
and variables by means of GIS analysis using attribute 
tables within the GIS data base. 
Validation 
The acceptability of the model depends on the 
accuracy with respect to reality and cost benefit factors. 
The parameterization by cost benefit analysis in terms of 
number of area depending on the activity and validation 
of parameters against both field data and empirical 
methods. 
It is to remember that use of remote sensing 
techniques can not serve as ‘stand alone’ method but it 
is definitely a powerful toolset and integrated to those 
already existing in water resources modelling, develop 
ment and management.
	        

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Application of Remote Sensing and GIS for Sustainable Development. RICS Books, 1999.
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