The Water Quality Monitoring Station data layer was compiled by staff within the Massachusetts Department of Environmental Protection (MassDEP), Division of Watershed Management (DWM), Watershed Planning Program (WPP) to fulfill Federal Clean Water Act reporting requirements.The Federal Clean Water Act (CWA) directs states to monitor and report on the condition of their water resources. The Water Quality Monitoring Stations data layer was compiled by MassDEP staff in fulfillment of CWA mandates. The stations data layer represents water quality monitoring locations sampled by WPP staff from 1983 to 2022.Four types of WPP monitoring stations are detailed below. Each station, stored as a single point in the data layer, represents a location that was sampled on one or more occasions during one or more years by WPP staff or their agents:Fish Toxics Stations: 1983-2022 (n=446); locations where whole fish were collected for subsequent tissue analysis of one or more contaminants. Coverage may include MassDEP Office of Research & Standards (ORS) Mercury Project sampling locations if also sampled by WPP.Fish Population Stations: 2005-2011 (n=177); locations where fish were collected, identified, measured, and released and where habitat quality conditions have been recorded. Locations for 2012-2022 sampling will be provided in a future update.Benthic Macroinvertebrate Stations: 1983-2022 (n=1290); locations where samples of benthic macroinvertebrates have been collected for subsequent subsampling and taxonomic identification and where habitat quality conditions have been recorded. (“Macroinvertebrate” is defined to include all aquatic members of the Annelida; all aquatic Mollusca; aquatic macro-Crustacea; aquatic Arachnida; and the aquatic life stages of Insecta—the exception being the Collembola, Hemiptera, and adult Coleoptera other than Elmidae).Water Quality Stations: 1994-2022 (n=3111); locations where water quality monitoring has been conducted, including one or more of the following data types: discrete or continuous in-situ probe measurements (e.g., dissolved oxygen, temperature, pH, specific conductance); laboratory results for water samples (e.g., bacteria, nutrients, algal toxins, metals, organics); or general site observations. Note: for display purposes, stations are differentiated into two major types: Surface Water (e.g., River/Stream, Lake, Estuarine) or Discharge (e.g., Facility Industrial, Facility Municipal Sewage (POTW), Storm Sewer).Stations can overlap if they were monitored for more than one survey type.The water quality monitoring stations should be displayed with the MassDEP DWM WPP Watersheds data layer, which is included in this service. Those delineations are based on MassGIS 'Major Basins' layer but modified by WPP to reflect surface drainage areas used for the Massachusetts Integrated Report: Multi-part List of Waters (IR).Learn more about the WPP water quality monitoring program.See full metadata.Feature service also available.

Dataset
Abstract: The process of siting municipal solid waste landfills in Greece faces significant challenges due to land resource limitations, the country’s mountainous and water-permeable terrain, and strong public opposition. This study introduces a novel methodology for optimizing landfill sites on Lemnos Island in the North Aegean Sea using a Fuzzy Spatial Multiple Criteria Analysis (FSMCA) approach. By combining Fuzzy Sets Theory, Geographic Information Systems (GIS), the Analytic Hierarchy Process (AHP), G-Statistics for Spatial Autocorrelation, and Fuzzy C-Mean for Spatial Clustering, this methodology addresses the uncertainties and complexities inherent in landfill siting. The decision problem is structured hierarchically into five levels to manage multiple criteria effectively. Criteria weights are determined using AHP, with discrete criteria graded according to Greek and EU guidelines, and continuous criteria evaluated through Fuzzy Sets Theory. The region's suitability is assessed using Multiple Criteria Analysis, revealing that 10.2% of Lemnos Island is appropriate for landfill placement. Sensitivity analysis confirms the robustness of the methodology to changes in criteria weights. Case study demonstrate the practical application and benefits of FSMCA in real-world scenario, underscoring its potential to improve sustainable waste management practices and inform policy-making.