Surface Water Quality Assessment of Godavari River by WQI and Arc-GIS ab 54.99 € als Taschenbuch: Surface Water quality status of Godavari River under Nanded District- Maharashtra India by using water quality Indexing. Aus dem Bereich: Bücher, Wissenschaft, Technik,
The most effective means of consistently ensuring the safety of a drinking water supply is through the use of a comprehensive risk assessment approach that encompasses all steps in water supply from catchment to consumer. The approach of this book is to promote an understanding of the entire water supply system, including the hazards that can compromise drinking water quality, safety and develops effective measures to assess and manage risks arising from those hazards using spatial model. Comparative evaluation of certain physical, chemical and biological characteristics of raw, treated and potable water at distribution network has been ongoing. Applying a GIS model will provide visual impacts for various hazards using WQI, which has formed a series of prediction maps for risk assessment. The objective of this book is to help researchers, professionals, and end-users working in water supply systems with the identification of relevant hazards by providing a catalogue with potential hazards of technical, environmental or human origin for the entire system.
Environmental Impact Assessment is essential for an ecologically sustainable development. The industrial and other activities of man have an impact on physical, chemical and biological processes occurring in the environment. The problems of soil and water quality in and around industries are attracting attention for the last couple of decades due to unscientific industrialization, indiscriminate disposal of solid/liquid waste and extensive use of chemicals. The comprehensive analysis is may address the soil/water quality issues in industrial areas. In this work we have taken Pharmaceutical industry as case to study the water/soil quality. The water/soil analyzed sample values are used for the preparation of Soil Quality Index (SQI) & Water Quality Index (WQI). The emerging technologies Remote sensing, GIS, GPS and field studies are used for the generation of various thematic maps. The spatial distribution maps of soil and water quality parameters are generated using ArcGIS software for assessing the impact levels around the industry. Based on the findings of pollution impact levels, the suitable remedial measures are suggested along with a proforma of Environmental Management Plan.
The availability of water in terms of both quantity and quality is essential to the very existence of mankind. Earlier people recognized the importance of water from quantity view point. Recognition of the importance of water quality developed more slowly. In the field of water resource management, information on the water quality is an essential input. Changes in water quality can be the result of domestic, industrial or agricultural discharges. The number of physical and chemical parameters such as pH, DO, alkalinity, conductivity, total solids, hardness, inorganic and organic trace elements etc. That needs to be monitored for proper assessment of water quality of any water resource is very large. In water resource management, where classification and comparison of different water resources on the basis of water quality is often requisite, it will be more convenient to integrate the data pool in some way to produce a single number. Water Quality Index (WQI) achieves these objectives and is of great value in water resource management.
Wetlands are vital water bodies, as crucial in a natural ecosystem as kidney in a human body. Apart from being highly productive as the habitat of birds, fishes and a variety of other aquatic life forms-micro-organisms. Wetlands provide other ecosystem services from maintaining the natural balance and for sustaining human livelihoods. Overall wetlands all over the country are exhibiting varying degrees of environmental degradation caused by encroachments, Eutrophication, siltation, urbanization and anthropogenic activities. There is also a misconception that wetlands are only wastelands. As a result, many precious wetlands have been converted to other uses all over in the world. Highly adaptable solutions must be found to permit development activities, including tourism,subsistence agriculture, and conservation of wildlife to be each given a fair share' of the one biome the wetland. This book provides an overview of the wetland study including flora, avifauna, management and restoration measures. It contains methodology of avifaunal survey, water quality analysis and WQI. It should be especially useful to those who are working in the field of wetland and environment conservation.
The physico-chemical characteristics of Jayakwadi dam water has been studied during Jan 1989 to Dec 2010. Seasonal variations in water quality parameters in rainy, winter and summer seasons are observed. The result revealed that there were significant seasonal variations in some physico-chemical parameters and WQI . An attempt has been made to develop water quality index (WQI), using water quality parameters such as Turbidity, pH, Chlorides, Free saline ammonia as N, Albuminoid Ammonia as N, Dissolved oxygen, Nitrate, Total hardness , Total dissolved solids, Fixed Solids, Iron (Fe), Fluoride (F), Total alkalinity as CaCO3 etc of raw water from Jayakwadi dam through M.S.Pipe line to Farola water treatment plant and filtered water are measured by Regional public health laboratory Aurangabad, Water Quality Index is a dimensionless number with values ranking 0 to 100 A lower index values represent good water & higher index value indicates poor water. This numerical index can be used as management tool in water quality assessment. The water quality index results indicate poor status of raw water during rainy and winter season.
The research presents water quality analysis of Bhadravathi in Karnataka State, India. Fourteen physico-chemical and biological parameters were considered for the analysis. The raster maps created using GIS are used to represent the spatial distribution of the parameters for both pre and post-monsoon seasons. Using physico-chemical parameters, Water Quality Index (WQI) was determined. The WQI shows 11% of the surface water samples fall under very good category during pre-monsoon and 78% in post-monsoon. The water sample at New Bridge site shows sign of pollution throughout year with WQI in the range 50-100 and hence unfit for use. In groundwater samples, 20% of samples in the pre-monsoon and 50% samples during post-monsoon fall under good quality. 50% of water samples during pre-monsoon and 60% of samples during post-monsoon fall under good category and water sample at Haladamma temple are found unfit. Further, QUAL2K model predicted the DO and BOD values considerably well along the Bhadra River from Lakkavalli to Bhadravathi Town. However, the Streeter Phelp s model estimated higher DO as compared to QUAL2K model. This is due to provision of outfall effect in Streeter Phelp s model.
Groundwater constitutes an important source of water for drinking, agriculture and industrial production. The use of groundwater has increased significantly in the last decades due to its widespread occurrence and overall good quality. Water quality index exhibits the overall water quality at a specific location and specific time based on several water quality parameters. The objective of an index is to turn complex quality data in to information that is understandable and usable by the public. The water quality of the Kadapa town varied from excellent to good. The high value of WQI at these stations has been found to be mainly from values of fluoride, Electrical conductivity. In some of the collected samples, the concentrations of these parameters exceed the permissible limits of WHO and ISI standards. After evaluating the data of this study it is concluded that there is an instant need to take ameliorative steps in Kadapa, Badvel, Kalasapadu, Porumamilla mandals, Vemula, Vempalli of Y.S.R District to prevent the population from groundwater pollution. Measures on a groundwater-quality monitoring program are suggested for the sustainable development of this area.
The book describes the role of Geographical Information System and Remote Sensing in modeling the groundwater distribution pattern and quality in the state of Rajasthan in India. Groundwater table map of various time series (pre and post monsoon), rainfall maps and fluctuating patterns have been generated using the groundwater level data of pre and post monsoon seasons and daily rainfall datasets of Rajasthan. Further, the OCEANSAT - 2 OCM satellite data has been used for generating the Normalized Difference Vegetation Index maps. Groundwater quality maps (WQI maps) of Rajasthan have been generated using groundwater chemical data of the state. The WQI maps indicated that the groundwater quality decreases from the South-East to the North-West of the state. The safest zone is in the South-Eastern part of the study area. Various Geo-statistical techniques have been applied in generating all these maps.