Development of a GIS-Based Decision Support System for Diagnosis of River System Health and Restoration

Xia, Jihong; Lin, Lihuai; Lin, Jingfang; Nehal, Laounia

doi:10.3390/w6103136

Cited by 22 publications

(13 citation statements)

References 30 publications

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“…Hundreds of indicators can characterize the health state of a river, which covers physical, chemical, biological, and socio-economic information [18,[29][30][31][32][33]. In 2010 China's Ministry of Water Resources established five criteria -the river health index system -for assessing the the country's major rivers and lakes: hydrology and water resources, physical structure, water quality, aquatic life, and social service function.…”

Section: Assessment Index System and Its Standard And Weightmentioning

confidence: 99%

River Health Evaluation Based on the Fuzzy Matter-Element Extension Assessment Model

Xu¹,

Dong²,

Hao³

et al. 2017

Pol. J. Environ. Stud.

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Society benefits immeasurably from rivers [1], and more and more water conservancy projects have improved more and more people's lives -especially regarding aspects of flood control and water supply in developing and undeveloped countries [2]. But with the rapid development of the economy, increasing human activities, and climate changes, river ecosystem health degrades day by day in many regions, represent by the sharp imbalance between water resource supply and demand, natural wetland shrinkage, serious river contamination, deductions in estuary runoff, and the disappearance of endemic fish, etc., all influence the sustainable development of nature, the economy, and society [3][4][5][6][7][8][9].Pol. J. Environ. Stud. Vol. 26, No. 3 (2017) The measured values of river health indexes that are not necessarily in the same range of a certain health grade level cause the problem of how to classify the actual status of river health. To solve such incompatibility and evaluate the health condition of a river ecosystem objectively we can use the river health integrated index (RHI), which was determined by the fuzzy matter-element extension assessment model (FMEAM). FMEAM was established by combining the fuzzy matter-element extension assessment method with the proposed aggregative index system. By employing the model above, as well as data from the 1980s, 1990s, and 2000s, we evaluated the health state of the Luanhe River. The results showed that the Luanhe River was in a sub-healthy state in the 1980s and in an unhealthy state in the 1990s and 2000s. The reasons leading to the Luanhe River's health degradation have been analyzed. Among them, water conservation projects' building and operations are the major influence factors. Waste water emissions, the expansion of urban built-up areas, over exploitation of groundwater, and other unreasonable human activities also intensified the river ecosystem degradation. Finally, countermeasures for the ecological restoration and protection of the river were put forward.

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Section: Assessment Index System and Its Standard And Weightmentioning

confidence: 99%

River Health Evaluation Based on the Fuzzy Matter-Element Extension Assessment Model

Xu¹,

Dong²,

Hao³

et al. 2017

Pol. J. Environ. Stud.

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“…For the past few decades, countries across the globe have been in a constant battle to monitor and evaluate the healthy status and variation of a river system and of identifying anthropogenic impacts. Many assessment indices, mathematic methods, and digital tools have been developed in multiple countries such as Australia [6,10], China [8,11,12], the United Kingdom [13], Sweden [14] and the United States [15]. For instance, in Australia, AUSRIVAS (Australian River Assessment System), FARWH (National Framework for the Assessment of River and Wetland Health), IRC (Tasmanian Index of River Condition), and SRA (Sustainable River Audit, systematic river health assessment for the Murray Darling Basin) have been established to assess the health status of the river systems at state or national levels [16].…”

Section: Introductionmentioning

confidence: 99%

Three-Phase-Based Approach to Develop a River Health Prediction and Early Warning System to Guide River Management

et al. 2019

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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.

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“…For example, Ostendorp (2004) established a new scheme for the ecological quality assessment of lakeshores, including aspects of nature conservancy, landscape protection, and regional planning and development, which exceeded previous requirements [13]. Xia et al (2014) designed a GIS-based decision support system to assess the health of river systems and diagnose external factors, and then to make decisions for the maintenance or improvement of river systems in Zhejiang Province, China [14]. A few studies have also given quantitative analysis, through experiments, of the ecological benefits of embankments with natural slopes and their influence factors.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Vegetative Slope on Water Flow and Pollutant Transport through Embankments

et al. 2017

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Embankments are common structures along rivers or lakes in riparian zones in plain areas. They should have natural slopes instead of slopes covered by concrete or other hard materials, in order to rebuild sustainable ecosystems for riparian zones. This study was conducted to evaluate the effects of vegetative slopes on water flow and pollutant transport through the embankments. Three embankments with different slope treatments (a bare slope, a slope covered in centipede grass, a slope covered in tall fescue) were examined, and three inflow applications of pollute water with different concentration of total nitrogen (TN) and total phosphorus (TP) used to simulate different agricultural non-point pollution levels. The results showed that the water flux rates of the three embankments were relatively stable under all inflow events, and almost all values were higher than 80%. The embankments with vegetative slopes had better nitrogen removal than the bare slope under all events, and the one with tall fescue slope was best, but the benefits of vegetative slopes decreased with increasing inflow concentration. Moreover, there were no significant differences between the embankments on phosphorus removal, for which the reductions were all high (above 90%) with most loads remaining in the front third of embankment bodies. Overall, the embankments with vegetative slopes had positive effects on water exchange and reducing non-point pollutant into lake or river water, which provides a quantitative scientific basis for the actual layout of lakeshores.

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Development of a GIS-Based Decision Support System for Diagnosis of River System Health and Restoration

Cited by 22 publications

References 30 publications

River Health Evaluation Based on the Fuzzy Matter-Element Extension Assessment Model

River Health Evaluation Based on the Fuzzy Matter-Element Extension Assessment Model

Three-Phase-Based Approach to Develop a River Health Prediction and Early Warning System to Guide River Management

The Impact of Vegetative Slope on Water Flow and Pollutant Transport through Embankments

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