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Excessive noise levels in the urban environment is a challenging issue in the sustainable urban development. Determine the noise level and noise affected areas for formation of proper plan is the significant theme of contemporary urban research work. Jamshedpur is the rapid growing industrial urban area in Jharkhand state of India. At present, this city has started to face a severe noise pollution due to rapid industrial growth, high population growth, commercial activity, and increase in transport mode along with legal and illegal construction. Therefore, the present study has been carried out to assess the urban environmental noise pollution in the study area. Several noise indicators like L10,L50,L90, Equivalent continuous noise level (Leq), Noise pollution level (Lnp), Noise Climate (NC), Traffic Noise Index (TNI), Noise Exceeding Factor (NEF), Day-night noise level () have been computed and GIS techniques also considered to determine the scenario of noise level along with their Spatio-temporal variation in the study area. Correlation and regression have been used to assess the relationship between noise levels, traffic volume, and traffic speed. The result indicates that 35 data sampling sites out of 47 sites have affected serious noise pollution and this pollution is partially affected by the volume of traffic flow. The living inhabitants of this area face noise pollution-related issues. To solve the serious noise pollution related problem in Jamshedpur Urban Agglomeration (JUA) present endeavour are very necessary to formulate some strategies and regulations as well as their implementation.

Evapotranspiration (ET) constitutes an important component of the water fluxes in the Hydrosphere and the atmosphere. Fresh water is most precious natural resource and the practical management of this resource is one of our utmost challenges. An understanding regarding the natural systems and the physical laws that govern each component of the hydrologic cycle is very important for the water resource manager. Remote sensing is an excellent tool for such monitoring as it provides information related to mass and energy transfers and particularly to evapotranspiration fluxes. In particular, the evaporation processes from the various surfaces of the earth need to be understood in order to achieve a sustainable development of our water resources. The combination of two separate processes by which water drives to the atmosphere are evaporation from the soil and transpiration from vegetation commonly referred as evapotranspiration (ET). ET has important implications in modeling regional and global climate and the hydrological cycle as well as assessing environmental stress on natural and agricultural ecosystem. The capability to predict levels of ET (using SEBAL model) would be a valuable asset for water resource managers. ET is a good indicator of irrigation effectiveness and total water consumption from vegetation. Evapotranspiration information is useful for irrigation supply planning, water rights regulation and river basin hydrologic studies.