Making global river ecosystem health assessments objective, quantitative and comparable

2019 ◽  
Vol 667 ◽  
pp. 500-510 ◽  
Author(s):  
C. Zhao ◽  
T. Pan ◽  
T. Dou ◽  
J. Liu ◽  
C. Liu ◽  
...  
2021 ◽  
Vol 13 (11) ◽  
pp. 6287
Author(s):  
Suyeon Kim ◽  
Sang-Woo Lee ◽  
Se-Rin Park ◽  
Yeeun Shin ◽  
Kyungjin An

It is imperative to develop a methodology to identify river impairment sources, particularly the relative impact of socioeconomic sources, to enhance the efficiency of various river restoration schemes and policies and to have an internal diagnosis system in place. This study, therefore, aims to identify and analyze the relative importance of the socioeconomic factors affecting river ecosystem impairment in South Korea. To achieve this goal, we applied the Analytical Hierarchy Process (AHP) to evaluate expert judgement of the relative importance of different socioeconomic factors influencing river ecosystem impairment. Based on a list of socioeconomic factors influencing stream health, an AHP questionnaire was prepared and administered to experts in aquatic ecology. Our analysis reveals that secondary industries form the most significant source of stream ecosystem impairment. Moreover, the most critical socioeconomic factors affecting stream impairment are direct inflow pollution, policy implementation, and industrial wastewater. The results also suggest that the AHP is a rapid and robust approach to assessing the relative importance of different socioeconomic factors that affect river ecosystem health. The results can be used to assist decision makers in focusing on actions to improve river ecosystem health.


2013 ◽  
Vol 726-731 ◽  
pp. 958-962 ◽  
Author(s):  
Zhen Chun Hao ◽  
Xiao Li Liu ◽  
Qin Ju

Healthy river ecosystem has been acknowledged as the object of river management, which is crucial for the sustainable development of cities. Simple and practical evaluation methods with great precision are necessary for the evaluation of river ecosystem health. Fuzzy system has been widely used in evaluation and decision making for its simple reasoning and the adoption of experts knowledge. However, much artificial intervention decreases the precision. Neural network has a strong ability of self-leaning while it is not good at expressing rule-based knowledge. The T-S fuzzy neural network model combines the advantages of fuzzy system and neural network. In this paper, the T-S fuzzy neural network model was used to establish a river ecosystem health evaluation model. Results show that the combination of T-S fuzzy model and neural network eliminates the influences of subjective factors and improve the final precisions efficiently.


2010 ◽  
Vol 61 (7) ◽  
pp. 764 ◽  
Author(s):  
P. E. Davies ◽  
J. H. Harris ◽  
T. J. Hillman ◽  
K. F. Walker

The Sustainable Rivers Audit (SRA) is a systematic assessment of the health of river ecosystems in the Murray–Darling Basin (MDB), Australia. It has similarities to the United States’ Environmental Monitoring and Assessment Program, the European Water Framework Directive and the South African River Health Program, but is designed expressly to represent functional and structural links between ecosystem components, biophysical condition and human interventions in the MDB. Environmental metrics derived from field samples and/or modelling are combined as indicators of condition in five themes (Hydrology, Fish, Macroinvertebrates, Vegetation and Physical Form). Condition indicator ratings are combined using expert-system rules to indicate ecosystem health, underpinned by conceptual models. Reference condition, an estimate of condition had there been no significant human intervention in the landscape, provides a benchmark for comparisons. To illustrate, a synopsis is included of health assessments in 2004–2007. This first audit completed assessments of condition and ecosystem health at the valley scale and in altitudinal zones, and future reports will include trend assessments. SRA river-health assessments are expected to play a key role in future water and catchment management through integration in a Basin Plan being developed by the Murray–Darling Basin Authority for implementation after 2011. For example, there could be links to facilitate monitoring against environmental targets.


2014 ◽  
Vol 1065-1069 ◽  
pp. 2956-2963
Author(s):  
Jun Xian Chen ◽  
Guo Hua Fang ◽  
Ren Fei Jiang ◽  
Xian Feng Huang ◽  
Yan Chen

With the theory of ecology and ecosystem health evaluation, the factors impacting river ecosystem health are analyzed and an evaluation system is built. The connotation of river ecosystem responding to the cascade development of reservoirs is studied. The response of typical plankton, benthos, fish to cascade development is identified. According the living and breeding habits of key species, typical representatives are selected to establish the grading standards of ecological health and evaluate ecosystem health as well as the effect of eco-hydrology regulation under cascade development of typical reservoirs. Results show that the annual distribution of runoff tends to be balanced, with reduced amount of suspended sediment in downstream; species fond of shallow water and rapids suffered decreased habitat space and a decline in its number, resulting in decreased diversity of fish species; and the quality of some river segments failed to meet the standard.


2020 ◽  
Vol 40 (10) ◽  
Author(s):  
孙然好,魏琳沅,张海萍,陈利顶 SUN Ranhao

2010 ◽  
Vol 55 ◽  
pp. 223-240 ◽  
Author(s):  
S. E. BUNN ◽  
E. G. ABAL ◽  
M. J. SMITH ◽  
S. C. CHOY ◽  
C. S. FELLOWS ◽  
...  

2019 ◽  
Vol 21 (4) ◽  
pp. 624-637
Author(s):  
Wei Xu ◽  
Zengchuan Dong ◽  
Li Ren ◽  
Jie Ren ◽  
Xike Guan ◽  
...  

Abstract A river ecosystem health (REH) assessment system, based on indicators for morphological form, hydrology features, aquatic life, and habitat provision was established to characterize REH. The standard interval Technique for Order Preference by Similarity to Ideal Solution method (TOPSIS) does not fully consider dynamic changes in REH, so interval numbers and the mean were introduced into an improved version of TOPSIS to achieve a more objective analysis. The improved interval TOPSIS method was tested in the Zhangweinan River and a river ecosystem health integrated index (REHI) was calculated. The REHI decreased from 0.376 to 0.346 over the past 25 years and the REH ranged from general to poor for 1991 to 1995 and from poor to very poor for 1996 to 2000, 2001 to 2005, 2006 to 2010, and 2011 to 2015. The ecosystem health is poor because of dams and reservoirs in the upper reaches that prevent water flowing to the lower reaches, over-abstraction of water, and severe pollution. This method gives objective and accurate assessments of REH and can be used to support decision-making and evaluation in a range of fields.


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