An attempt has been made to assess the seasonal Water Quality Index (WQI) using fourteen surface water quality parameters including SST, pH, salinity, dissolved oxygen, biochemical oxygen demand (BOD), Chlorophyll-a, nitrate-nitrogen, nitrite-nitrogen, phosphate, ammonia-nitrogen, turbidity, total suspended solids (TSS), total dissolved solids (TDS) and silicates measured at five different stations in the creeks and nine near shore areas along the Maharashtra coast during the year 2014 to 2016. Rating scale is developed from mariculture and coastal aquaculture point of view. The WQI were computed using Weighted Arithmetic Water Quality Index Method (WAWQI).
The overall surface water quality was graded as "Very Poor" for creek stations and "average or poor" for near shore stations located in densely populated area along Mumbai. However, sampling stations of moderately urban area along Ratnagiri coast in southern Maharashtra rated as "average or Poor". Season-wise high-water quality index value for near shore stations and creek stations reported during monsoon and post-monsoon period respectively. The water quality index ranges from 133. 056 (monsoon) to 842.12 (post-monsoon) at 10 m station off Mumbai and near shore station at Juhu beach, Mumbai respectively. The high value of water quality index reported mainly due to higher concentrations of phosphate, nitrate, nitrite and poor dissolved oxygen content in creek and nearshore areas. The main cause of poor water quality is associated with discharge of semi- treated sewage, urban runoffs, illicit discharge of industrial effluent directly into the creek and nearshore areas. The application of the developed water quality index for mariculture in selected location showed that water quality of near shore stations in southern Maharashtra is favourable for mariculture than the station in northern part. The Weighted Arithmetic Water Quality Index could be a good measure for categorizing ideal water quality for mariculture or coastal aquaculture. Owing to its rapid interpretation of data, it can be a good tool for water quality management and planning for coastal zone management including mariculture.