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Irrigation system operation practices - A handbook by Central Water Commission (1990)

This handbook on “Irrigation System Operation Practices” by the Central Water Commission has been developed to build in a scientific approach as well as homogeneity in renewing the irrigation practices in the country. For increasing agricultural productivity from existing irrigation systems, improved operation of the systems coupled with timely maintenance of the systems has a major role to play.

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Irrigation system operation practices - A handbook by CWC (1990) (Low-resolution version)11.16 MB
Irrigation system operation practices - A handbook by CWC (1990) (High-resolution version)42.27 MB
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Remote sensing and census based assessment and scope for improvement of rice and wheat water productivity in the Indo-Gangetic basin - A working paper by Challenge Program on Water and Food

This paper by the Challenge Programme for Water and Food (CPWF) presents a simplified approach to combine remote sensing, census and weather data to analyze basin rice and wheat water productivity (WP) in Indo-Gangetic river basin, South Asia. It presents an innovative approach to combine meteorological data, ground survey, national census with remotely sensed imagery to assess water use, yield, and finally crop water productivity for the Indo-Gangetic rice-wheat cropping system in South Asia. Read More

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Integrated Hydrological and Water Data Books - Central Water Commission (2005-09)

Intergrated hydrological water data books - CWCIntegrated Hydrological Data Books are a compendium of important hydrological information of twelve non-classified basins (i.e., other than Ganga and Brahmaputra) consolidated at the national level by the Central Water Commission (CWC).

It covers basic hydrological data on gauge, discharge, silt, sedimentation and water quality collected on a regular basis by the CWC regional field offices, who document it in the form of a Water Year Book, Sediment Year Book and Water Quality Year Book. These along with the relevant land use statistics collected by the Ministry of Agriculture are integrated into this Data Book.Read More

The information is of use to planners, researchers, policy makers and the public at large.

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Integrated Hydrological Databook by CWC (2009)5.42 MB
Integrated Hydrological Databook by CWC (2007)2.7 MB
Integrated Hydrological Databook by CWC (2006)1.12 MB
Water Data - Complete book by CWC (2005)1.05 MB
Water sector at a glance - Summary by CWC (2008)88.23 KB
Water sector at a glance - Complete book by CWC (2007)1.92 MB
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Investigation of the capability of Artificial Neural Network technique for estimating evapotranspiration from minimum weather data – A research report by National Institute of Hydrology

The study attempted to estimate the actual crop evapotranspiration from minimum weather data of Tavanur, Kerala and resulted in an Artificial Neural Network (ANN) model, which makes use of average temperature data to estimate the actual evapotranspiration. The effectiveness of this model was evaluated using various statistical indices. The results of this model were compared with various existing techniques. The analysis led to the conclusion that the ANN models were performing better than all existing techniques for computing the actual evapotranspiration. However, the study was based on a single season lysimeter data and more research work may be required to reinforce this conclusion.Read More

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Investigation on the capability of Artificial Neural Network for estimating evapotranspiration from minimum weather data by NIH (1999-2000)514.41 KB

Location

Tavanur, KL, India
Latitude: 10.851389, Longitude: 75.987222

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Rainfall-runoff modeling using Artificial Neural Network technique for Baitarni river in Orissa – A Research Report by National Institute of Hydrology

The research study attempts to develop a rainfall-runoff model using the Artificial Neural Network (ANN) technique for the Baitarni river in Orissa. A detailed review of the research work in the area of interest revealed that the approach of neural computations was very effective in developing the required model, due to its various advantages. Accordingly, three candidate models based on ANN architecture were developed for the study area, to represent rainfall-runoff transformation.Read More

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Rainfall runoff modelling using artificial neural network technique by NIH (1999-2000)947.42 KB

Location

Keonjhar, OR, India
Latitude: 21.630000, Longitude: 85.580000

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Raingauge network design for Pagladiya basin - A Research Report by National Institute of Hydrology

In the study, raingauge network design has been developed for the Pagladiya basin of Brahmaputra river in Nalbari, Assam and Bhutan. Precipitation is the most basic data required for any water resources study and the estimation of the number & location of raingauge stations that provide adequate information regarding rainfall falling over the catchment is referred to as network design. A raingauge network is intended to serve general as well as specific purposes such as water supply, hydropower generation, flood forecasting, irrigation and flood control.Read More

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Raingauge network design for Pagladiya basin by NIH (1999-2000)833.47 KB

Location

Nalbari, AS, India
Latitude: 26.442907, Longitude: 91.441039

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Crop Water Requirement for Krishnai Irrigation Project – A research report by National Institute of Hydrology

In this report an attempt has been made to estimate the mean monthly reference crop evapotranspiration (ETo) for the Krishnai Irrigation Project in Assam. To undertake this analysis, the mean monthly climatological and physiographical data for the period of 1986 to 1994 has been collected from the Meteorological Department, Borjhar, Assam.Read More

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Crop water requirements for Krishnai Irrigation Project in Assam by NIH (1999-2000)1.57 MB

Location

Goalpara, AS, India
Latitude: 26.177349, Longitude: 90.624687

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Software for a hydrological data year book – A report by National Institute of Hydrology

The report deals with software developed by the National Institute of Hydrology with the purpose of preparation of hydrological data book in a form most valuable to the users. A menu driven, user friendly software has been developed to handle all types of hydrological and meteorological data.Read More

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Software for a hydrological data year book by NIH (1997-98)382.5 KB
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Snow cover estimation in Himalayan basins using remote sensing: A research report by National Institute of Hydrology

The study estimates the snow cover area for four major basins in the Himalayan region viz. Chenab up to Akhnoor, Ganga up to Devprayag, Satluj up to Bhakra and Beas up to Pandoh using IRS - IC and ID WiFS data. Snow cover estimation was done for the years 1997-2000 using image processing system ERDAS Imagine. The maximum and minimum snow cover extent for the month of September-October and March-April were delineated and on the basis of these the depletion curves for each basin was made for the four years. This output is useful for carrying out snowmelt runoff modeling.Read More

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Snow cover estimation in Himalayan basins using remote sensing by NIH (2000-01)1.03 MB
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Manual on Drought Management by the National Institute Disaster Management and the Ministry of Agriculture (2009)

Manual on Drought Management by the National Institute Disaster Management and the Ministry of Agriculture (2009)This manual developed by the National Institute of Disaster Management (NIDM) presents a comprehensive approach to drought management and recommends measures that can be implemented for effective drought relief and mitigation. It brings together conceptual issues, institutional framework & operational details, and replaces the colonial famine codes written largely for dealing with hunger and starvation.

It has been prepared with the objective of creating synergy between the various programmes being implemented to provide drought relief and mitigation by several levels of government.Read More

The key issues covered in the manual are:

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Manual on Drought Management by NIDM and MoA (2009) 3.71 MB
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6.22-2011.07.01-06