A Vine Copula-Based Modeling for Identification of Multivariate Water Pollution Risk in an Interconnected River System Network

Abstract

The Interconnected River System Network (IRSN) has become a popular and useful measure to realize the long-term health and stability of water bodies. However, there are lots of uncertain consequences derived from natural and anthropogenic pressures on the IRSN, especially the water pollution risk. In our study, a Vine Copula-based model was developed to assess the water pollution risk in the IRSN. Taking the ponds around Nanyang station as research objects, we selected five proxy indicators from water quality indexes and eutrophication indexes, which included dissolved oxygen (DO), total nitrogen (TN), total phosphorus (TP), chlorophyll-a (Chla), and ammonia nitrogen (NH3-N). Models based on three classes of vine copulas (C-, D-, and R-vine) were utilized respectively to identify the water quality indicators before and after the operation of the connection project. Our results showed that TN, Chla, and NH3-N should be considered as key risk factors. Moreover, we compared the advantages and prediction accuracy of C-, D-, and R-vine to discuss their applications. The results reveal that the Vine Copula-based modeling could provide eutrophication management reference and technical assistance in IRSN projects.

Grounded theory and sustainable development research of interconnected river system networks

“…The interconnected river system network project is established in different water system areas to ensure the characteristics that different receiving areas have, and should also take fully into account the functional needs within the different areas.With different demand objectives, the interconnected river system network engineering establishes more directions, increased functions, increased risks, and complex connectivity areas, and fuses the above issues to form a complex system with multiple directions, while facing a gradual overlap of water environment problems, socioeconomic problems, and ecological environment problems, resulting in the interconnected river system network engineering becoming complex and convergent [5].…”

Small Standing-Water Ecosystems in the Transitional Temperate Climate of the Western Balkans

“…Zooplankton organisms, with main groups: Rotifera, Cladocera and Copepoda (Fig. 2.3), contribute significantly to the aquatic ecosystem diversity, play a pivotal role between primary producers and higher trophic levels, and are also known as very sensitive indicators of the environmental alterations [31][32][33][34][35][36][37]. Zooplankton indicator value arises from rapid growth, numerous populations and quick response to deteriorated environmental conditions, and application of zooplankton traits as a tool in the ecological assessment should be developed for small-shallow ecosystems [6,38].…”

Review of Copula for Bivariate Distributions of Zero-Inflated Count Time Series Data

“…as a parameter in the spatial setting. The application of copula functions can be found in finances (Czado et al, 2012), hydrology (Yu et al, 2020), transportation (Irannezhad et al, 2017), health care (Shi and Zhang, 2015), and more. The Farlie-Gumbel-Morgenstern (FGM) family of copula can be used to establish relationship between predictors (Durante and Sempi, 2016)).…”