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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Policy & Risk Remediation Sign in to save

A First Step towards Developing a Decision Support System Based on the Integration of Environmental Monitoring Activities for Regional Water Resource Protection

Hydrology 2023 5 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Carmine Massarelli, Carmine Massarelli, Carmine Massarelli, Carmine Massarelli, Carmine Massarelli, Carmine Massarelli, Vito Felice Uricchio Carmine Massarelli, Vito Felice Uricchio Maria Silvia Binetti, Vito Felice Uricchio Vito Felice Uricchio Carmine Massarelli, Carmine Massarelli, Vito Felice Uricchio Carmine Massarelli, Carmine Massarelli, Mariangela Triozzi, Carmine Massarelli, Carmine Massarelli, Mariangela Triozzi, Vito Felice Uricchio Vito Felice Uricchio Vito Felice Uricchio Vito Felice Uricchio Vito Felice Uricchio Carmine Massarelli, Carmine Massarelli, Carmine Massarelli, Carmine Massarelli, Carmine Massarelli, Carmine Massarelli, Vito Felice Uricchio Vito Felice Uricchio Vito Felice Uricchio Vito Felice Uricchio Vito Felice Uricchio Vito Felice Uricchio Vito Felice Uricchio Vito Felice Uricchio Vito Felice Uricchio Vito Felice Uricchio Vito Felice Uricchio Vito Felice Uricchio Carmine Massarelli, Vito Felice Uricchio

Summary

Researchers developed a decision support system integrating environmental monitoring data on diffuse pollutants - including nitrates, pesticides, metals, and plastics - to characterise the degradation state of water resources at the municipal level. The open-source system identifies areas sharing similar environmental characteristics and pollution pressure values, providing policymakers with tools for more accurate land management decisions.

The topic of diffuse pollution is of particular interest from technical, scientific, and administrative management points of view. Diffuse pollution is defined as the contamination or chemical, physical, or biological alterations of environmental matrices caused by diffuse sources and not attributable to a single origin. In this study, various sources of diffuse pollution such as nitrates, pesticides, metals, and plastics were analysed. This was aimed at the implementation of a decision support system able to represent the state of environmental matrices degradation, with particular attention to water resources, and to make decisions evaluating similar environmental contexts. The potential of the developed system makes it possible to identify areas with the same environmental characteristics, referring to the various activities that create diffuse pollution and areas with the same pressure values on the environmental matrices. The system provides the political decision-maker with greater awareness of the environmental state, thus enabling him to apply more accurate land management policies. The created system, based on open-source software, which can be implemented with additional available data sources, is characterised by a data processing workflow that provides output information at the municipal level, so that it can be managed both by mayors and regional managers who are able to share the same information with all.

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