Environmental Information Policy in India feed Pro‐Environment Industry Operation: A Case Study of EIA Report on Proposed Integrated Steel Complex Site, Halakundi, Karnataka-Reference-Cited by-同舟云学术

Environmental Information Policy in India feed Pro‐Environment Industry Operation: A Case Study of EIA Report on Proposed Integrated Steel Complex Site, Halakundi, Karnataka

Published:2023-02 Issue:1 Volume:407 Page:
ISSN:1022-1360
Container-title:Macromolecular Symposia
language:en
Short-container-title:Macromolecular Symposia

Author:

Lohochowdhury Biplab¹,Giridhar Divya²,Kumar Pal Arvind²,Mitra Archan²

Affiliation:

1. Centre for Journalism and Mass Communication Visva‐Bharati University West Bengal India

2. School of Media Film and Entertainment Sharda University Knowledge Park III Greater Noida Uttar Pradesh India

Abstract

AbstractInfrastructure development/industrialization in an area without proper environmental assessment is well known. Governments have implemented environmental impact assessment (EIA) policies to avoid harming the environment. Implementing EIA policy in coordination with local government agencies requires an understanding of environmental information flow. Before and after data sets on environmental change are critical for pro‐environment industry operation. Is it possible to synchronies EIA and Environmental information Centre (EIC) in a way that reduces environmental pollution while increasing entropy at all levels of communication? How does EIC affect EIA regimes? How to close environmental data? How should environmental data be used in EIA? A robust environment information policy (EIP) must address these issues in pro‐environmental development projects and industrial operations (EIP). However, access to information is still limited in India. Lack of quality and complete information makes it difficult for regulators to evaluate large‐scale infrastructure/industry development data submitted by proponents. Proposers and consultants should be given specific instructions on how to communicate with all stakeholders in the project impact zone. Additional information within the broad category of “Information” is sought. As a result, the researchers sought to gather data for the Environment Information System (EIS). Climate change and grassroots communication are two areas being studied. Information is critical in environmental matters. Despite public opinion, authorities ignore environmental planning. The policy decision cycle should priorities data. To better communicate about the environment, the author proposes a proper chain and system of information (Information Modeling). The reporting agencies strictly adhere to the EIA's policy. After their purpose is served, these reports are useless.

Publisher

Wiley

Subject

Materials Chemistry,Polymers and Plastics,Organic Chemistry,Condensed Matter Physics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/masy.202200078

Reference25 articles.

1. Environmental Impact Assessment (EIA) is an important management tool for ensuring optimal use of natural resources for sustainable development. A beginning in this direction was made in our country with the impact assessment of river valley projects in 1978‐79 and the scope has subsequently been enhanced to cover other developmental sectors such as industries thermal power projects mining schemes etc. To facilitate collection of environmental data and preparation of management plans guidelines have been evolved and circulated to the concerned Central and State Government Departments. EIA has now been made mandatory under the Environmental (Protection Act 1986) for 29 categories of developmental activities involving investments of Rs. 50 crores and above.

2. With the greater need for accessing data for conducting an EIA or any kind of environmental assessment availability of data in a ready and interactive format is the basic requirement. IL&FS first conceived the concept of evolving a knowledge database for this purpose. The concept of “Environmental Information Centre” (EIC) was strategized and developed in 2002 by IL&FS in partnership with the Ministry of Environment & Forests.

3. In information theory systems are modeled by a transmitter channel and receiver. The transmitter produces messages that are sent through the channel. The channel modifies the message in some way. The receiver attempts to infer which message was sent. In this context entropy (more specifically Shannon entropy) is the expected value (average) of the information contained in each message. 'Messages' can be modeled by any flow of information.

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