Impact assessment of water conservation and water harvesting structures under MGNREGA (Also available on CD)
Material type: TextPublication details: 2018Description: v,vii,49,ip.,CD-ROMDDC classification:- MG TH-0163 SAP
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Thesis | CEPT Library | Faculty of Technology | MG TH-0163 SAP | Not for loan | 019474 |
CONTENTS
Certificate of original authorship iv
Certificate of Dissertation Advisor’s consent
Acknowledgement vi
Abstract vii
Chapter - 1. Introduction 1
1.1 Scenario of MGNREGA in India 2
1.1.1 Main goals of MGNREGA in India 3
1.2 GIS and remote sensing technologies in rural development 3
1.3 Different types of works carried out in MGNREGA in India 4
1.3.1 Different types of water conservation and water harvesting structures 5
1.4 Aim 8
1.5 Objective 8
1.6 Data used: 8
1.7 Methodology 9
1.7.1 Spatial data 10
1.7.2 Non Spatial data 11
Chapter- 2 Study area and its Characteristics 12
2.1 Study area 12
2.2 Geomorphology and Soil Type of the study area: 13
2.3 Temperature: 13
2.4 Rainfall 14
2.5 MGREGA works Srikakulam scenario: 15
Chapter - 3 Impact assessment of works carried under MGNREGA 17
3.1 Impact assessment 17
3.2 Need for the study 17
3.2.1 MGNREGA works and its Uses 18
3.3 Implementation of WCWHS in Srikakulam District 19
3.3.1 Implementation of water conservation and harvesting structuers 20
3.3.2 Implementation of farm ponds 21
3.3.3 Implementation of Desilting of existing feeder channels 22
3.3.4 Implementation of Percolation tanks 23
3.3.5 Implementation of Mini Percolation tanks 24
3.3.6 Implementation of Water Absorption Trenches under MGNREGA 25
3.4 Average cost vs Days for Each asset wise 26
Chapter - 4 Watershed analysis of Study Area 27
4.1 Water Shed 27
4.1.1 Digital Elevation mode 27
4.1.2 Slope 28
4.1.3 Flow Direction 29
4.1.4 Flow Accumulation 30
4.1.5 Stream Order 31
4.2 Water shed area 32
Chapter - 5 Land Use Land Cover Classification 34
5.1 Land use and Land cover 34
5.2 Supervised Classification 34
5.3 Maximum likelihood classification Process 35
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