Abstract

This study presents a systematic literature review aimed at integrating hydrological data into environmental risk assessment. The literature sources were obtained from Scopus, DOAJ, and Google Scholar, focusing on publications from the last 10 years. The discussed literature emphasizes the crucial role of hydrological data integration in enhancing the accuracy and quality of environmental risk assessments. The study details various proposed approaches, including a risk-based eco-hydrological approach, spatial geo-statistical techniques, the development of the meta-scientific-modeling (MSM) framework, automated assessment of local sensor networks, and the creation of web-based software platforms. The research findings illustrate the active efforts of researchers to find more effective and comprehensive ways of utilizing hydrological data in environmental risk evaluation. Each proposed approach has its strengths and limitations, with specific considerations related to data complexity, computational requirements, and analytical skills. In addition to highlighting the necessity of coordinated and integrated techniques to enhance future risk assessments, this study lays the groundwork for a thorough knowledge of the function that hydrological data integration plays in the context of environmental risk assessment.

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