Jharkhand

This approval is for the reconstitution of the Damodar Valley Corporation with four full time members, namely, Chairman, Member (Technical), Member (Finance) and Member Secretary; and six part time members, namely – one representative from the Central Government; two representatives – one each from the Government of Jharkhand and the Government of West Bengal; three independent experts- one each from the field of irrigation, water supply and generation or transmission of electricity. The Chairman will be the Chief Executive Officer of the Corporation. The posts of Financial Adviser and Secretary will be abolished.

The states of Assam, Bihar, eastern U.P, Chattisgarh, Jharkhand, Bengal, Orissa were allocated extra funds in the last year for this purpose.

 Patterns of spatial and temporal urban changes have been analysed efficiently using spatial and temporal technologies such as Geographical Information Systems (GIS) and Remote Sensing (RS) along with collateral data such as Survey of India (SOI) maps, etc.

Organizer: Krishi Gram Vikas Kendra (KGVK)

Venue: Neori Vikas, Rukka, Ranchi, Jharkhand

The report deals with determination of SCS runoff Curve Number and land use changes for Hamidnagar sub-basin of Punpun basin. The design of any hydraulic structure calls for the estimation of runoff. The Soil Conservation Services model, developed by USDA, computes direct runoff through an empirical equation that requires the rainfall and watershed coefficient as inputs. The watershed coefficient is called the Curve Number (CN), which represents the runoff potential of the land cover-soil complex.

In this study, regional flood frequency relationships have been developed using L-moments for South Bihar, in the alluvial plains of Indo-Gangetic basin and Kaimur-Chhotanagpur Santhal Pargana plateau. The annual maximum peak flood data of twenty-two gauging sites whose catchment areas vary from 11.7 to 3171 sqkm have been used. The mean annual peak floods of these sites vary from 29.15 cumec to 1293.2 cumec. Comparative regional flood frequency analysis studies have been carried out using some of the commonly used frequency distributions viz Extreme Value (EV1), General Extreme Value (GEV), Normal, Log Pareto (GPA) and Wakeby based on L-moments approach.

The study evaluates the applicability of Artificial Neural Networks (ANN) in rainfall-runoff process modeling for the Ajay river basin, Jharkhand to predict the 6-hour ahead runoff at Sarath. Initially three flood events were considered for training, to find out the weights between different layers of the network. The back propagation algorithm has been used for optimization of weights. The developed ANN was validated for rest of the flood events.

This set of case studies is part of a book prepared by Lokayan in collaboration with the Planning Commission titled “Seeds of Hope", covers themes of agricultur

This report by National Institute of Hydrology provides a compilation of the hydrological information of seventeen different river basins of South Bihar (now Jharkhand). Hydrological modeling of a basin requires detailed hydrological information about the basin. Further, the hydrological information of a region or a basin is of immense use to water resources planners and managers. However, the hydrological information collected by different organizations are often scattered and are not in representable form.

 This has been carried out through strengthening its water monitoring system by installation of water meters at source points, recycling of effluent of reject pit discharge to abandoned mine pit, zero effluent discharge by providing sedimentation tanks and re-utilisation of effluent. Apart from water, work was also done on reducing Greenhouse gas emissions.