Abstract

To effectively manage a river system, systematic tracking and diagnosing the change and risks of a river system are essentially required to efficiently conserve or restore its conditions. Hence, this study focuses on how to integrate current status assessment, trend prediction, and cause diagnosis in river health to guide early warning decision-making in river protection and management. This study has presented a three-phase approach by coupling spatial with nonspatial information in a highly systematic and reliable way, and an early warning system has been designed. In phase I, the current health status is assessed and nowcasted by using the order degree of each indicator. In phase II, health predictors, including the single perspective-based health index (HI) (e.g., water quality index (WQI) and index of biotic integrity (IBI)) and multi-perspective-based health index, have been forecasted under normal conditions or emerging conditions using predictive models. In phase III, key causal factors threatening the river health have been identified to enable early notification and to address unexpected events before occurrence. Although different modeling methods can be used in each phase to demonstrate this concept, we tested the model of partial least square regression (PLSR) associated with time series. Additionally, the three-phase approach has been integrated with geographic information system (GIS) and a decision support system (DSS) to develop a river health prediction and early warning system (RHP-EWS), an automatic prediction and decision-making tool. This tool was implemented to deal with the landing of typhoon “Maria” in 2018 into the Shanxi River watershed in China. Because of the timely responses and decisions, the drinking water supply was not influenced. However, the models should be extended to other river systems for testing and improvement at different temporal or spatial scales.

Highlights

  • As river systems have beneficial natural and social functions and provide many services and goods, such as shelter, food sources, and ecological refuge for an array of biological species, fresh water, transport mediums, recreation and tourism opportunities, aesthetic and cultural values and aid in flood management to protect society, they have been widely regarded as the most essential of natural resources and as places to experience the serenity of nature [1]

  • 2010,tomanagers and researchers focused on acausal diagnosis for degraded river river systems, in which key milestone washealth the health diagnosis project undertaken on a provincial systems, in which a keyamilestone was the diagnosis project undertaken on a provincial scale and the of RHD-decision support system (DSS)

  • water quality index (WQI), index of biotic integrity (IBI), and health index (HI) are used as the predictors, among which HI is considered as comprehensive objective predictor, while WQI and IBI are categorized as single objective predictors

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Summary

Introduction

As river systems have beneficial natural and social functions and provide many services and goods, such as shelter, food sources, and ecological refuge for an array of biological species, fresh water, transport mediums, recreation and tourism opportunities, aesthetic and cultural values and aid in flood management to protect society, they have been widely regarded as the most essential of natural resources and as places to experience the serenity of nature [1]. Darling Basin) have been established to assess the health status of the river systems at state or national levels [16]. In China, Xia et al (2013) established a river health diagnosis index system, which consisted of natural structure index, ecological service index, and social services index [11] They designed a GIS-based intelligent river health diagnosis and decision support system (RHD-DSS) to assess the health status and diagnose the causal factors that influenced a river’s conditions or health status [12]. How could managers deal with an emergency even?” Only with a foundational understanding of the future trends of a river system, could river managers be alerted to make timely, precise decisions or policies during extreme events.

Materials and Methods
Merits of a Healthy River System
Description of the Three-Phase Approach
Framework of a River Health Warning System and Tool Development
Conceptual Framework of a River Health Early Warning System
Structure and Interface of RHP-EWS
Geographic
Alarm and Response
Case study
Thepeople
Emergency Event
Health Trend Prediction
Method
Conclusions and Perspective
Full Text
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