A novel comprehensive model of set pair analysis with extenics for river health evaluation and prediction of semi-arid basin - A case study of Wei River Basin, China

Research on sustainable development strategies based on basin ecological health assessment: a case study of the Fan River

Basins play a crucial role in regional ecosystems and the supply of water resources. However, owing to regional constraints and insufficient research resources, the ecological health of small basins in county-level areas has not been adequately studied. To explore a simple and practical method for assessing the ecological health of small county-level basins, this study uses the Fan River Basin as a case study to construct a dual spatial scale evaluation framework that encompasses both aquatic and terrestrial ecosystems. The evaluation indicators for the aquatic ecosystem include the Water Quality Condition Index, River Connectivity Index, and Macrobenthic Diversity Composite Index, alongside eight additional indicators. The evaluation of the terrestrial ecosystem incorporates nine core indicators, such as the Forest Coverage Index, Water Source Containment Function Index, and Important Habitat Conservation Index. The entropy weighting method was employed to determine the weights of the indicators, followed by quantitative analysis. The results indicate that the aquatic ecosystem of the Fan River Basin generally falls into the "Moderate" level; however, water quality and species diversity are facing a certain degree of pressure. In the terrestrial ecosystem, forest coverage and soil conservation functions performed well, while habitat conservation and water source containment functions were relatively weak and significantly affected by human activities. Based on the evaluation results, optimization strategies for basin management and sustainable development have been proposed, providing valuable references for decision-makers to promote ecological civilization and sustainable development.

Redivision of reference intervals of the red blood cell distribution width in a healthy Chinese population based on natural geographic environment

Revealing the spatial distribution and regional differences of red blood cell distribution width (RDW) reference values in the healthy Chinese population is important for the monitoring, diagnosis and prevention of the top chronic diseases in the disease spectrum in China. Medical indicator data were matched with geographical data and environmental pollution data to predict RDW reference values for the whole region of China using ridge regression analysis, support vector machine and BP neural network. Taylor diagrams and assignment methods were used to select the optimal model, and the spatial distribution was mapped according to the prediction results of the optimal model, and the intervals of RDW reference values for different age groups of healthy people in China were redefined. It was suggested that the reference values of RDW in the young and middle-aged groups in China were divided into low-value areas in the north (12.31,12.80) and high-value areas in the south (12.80,13.18); the reference values of RDW in the elderly group were divided into low-value areas in the north (11.28,12.60) and high-value areas in the south (12.60,13.91).In turn, it can provide a more accurate reference basis in the monitoring, diagnosis and prevention of chronic diseases at the top of the disease spectrum.

Assessing ecological health in a semi-arid basin: a case study of the Wei River Basin, China

A healthy water ecosystem within a river basin is essential for maintaining ecological security, preserving species diversity, and ensuring sustainable socio-economic development. Unfortunately, human activities have significantly threatened the health of water ecosystems in various basins. Consequently, timely restoration and targeted protection of damaged river ecosystems have become crucial objectives in watershed management. As a prerequisite and cornerstone for river protection and management, assessing river ecological health has emerged as a primary focus in current research. In this study, we selected the Wei River Basin, a representative area of the Yellow River Basin, as our research subject. We identified multiple influencing factors, including society, biology, water quality, and habitat, which collectively impact this semi-arid region. To assess the overall impact of these factors on ecological health, we developed a comprehensive River Ecological Health Assessment Index (REHAI) system. The research findings indicate that the Wei River system, as a whole, is currently in a healthy state, while the Jing and Luo River systems are classified as sub-healthy. Furthermore, we observed variations within the Wei River system itself; the upper reaches of the Wei River exhibit higher levels of health compared to the middle reaches, whereas the water environment in the lower reaches is the most compromised. This degradation can be attributed to downstream subsidence, increased pollution, and rapid urbanization. By establishing a river ecosystem health assessment methodology and conducting a comprehensive evaluation of the health status of river ecosystems, this paper puts forward management recommendations for river basins. These findings provide a scientific basis for the sustainable utilization of water resources in river basins and promote the harmonious coexistence of humanity and nature.

Study and Application of Urban Aquatic Ecosystem Health Evaluation Index System in River Network Plain Area

The evaluation index system of urban aquatic ecosystem health is of great significance for the assessment and management of urban river networks, and for urban development planning. In this paper, the concept of urban aquatic ecosystem health was analyzed by the relationship between human, city and aquatic ecosystem, and its evaluation index system was established from environmental conditions, ecological construction, and social service. In addition, the weight value of each index was calculated by the analytic hierarchy process, and the grading standard of each index was set. Jiading New City, a typical city of the river network plain area in Yangtze River delta, was selected as the aquatic ecosystem health evaluation sample. The fuzzy comprehensive method was used to evaluate the aquatic ecosystem health of Jiading New City. The results indicated that the water ecosystem health of Jiading New City reached the "good" level. For the criterion level, environmental conditions and ecological construction reached the "good" level, and social services reached the "excellent" level. For the indicator level, most indicators reached "good" and "excellent" levels, but the river complexity and benthic macroinvertebrate diversity are still in the "poor" state, which indicates that the aquatic environment has greatly improved, but the aquatic ecosystem has not been fully restored. Results suggested that river complexity and biodiversity should be increased in urban construction planning. The evaluation index system established in this paper can be used to reflect the urban aquatic ecosystem health conditions in river network plain areas.

Water Quality Characteristics and Source Analysis of Pollutants in the Maotiao River Basin (SW China)

Rivers are an important mediator between human activities and the natural environment. They provide multiple functions, including irrigation, transportation, food supply, recreation, and water supply. Therefore, evaluations of water quality and pollution sources are of great significance for ecological restoration and management of rivers. In this study, the improved “vušekriterijumska optimizacija i kompromisno rješenje” (VIKOR in Serbian; in English: Multicriteria Optimization and Compromise Solution), and a geodetector were used to analyze the water quality characteristics and pollution sources of the Maotiao River Basin (Gizhou province, SW China). The results showed that the water quality of the Maotiao River Basin deteriorated significantly during the summer drought period, as was evident in the reservoirs and lakes. It improved in the wet season (i.e., during the summer period) due to runoff dilution. Water quality decreased along the river’s course, from upstream to downstream sections. The results of the geographic detector analysis showed that agricultural areas were the primary factor affecting the spatial distribution of water quality in the river basin. In July, August, and November 2020, the influence of agricultural land was 0.72, 0.60, or 0.80, respectively, and the interactions among urban, industrial, agricultural, and forested areas explained 99.2%, 83.2%, or 99.9% of the spatial differentiation of water quality, respectively. Due to the influence of spatial scale, settlements have a small influence on the spatial distribution of water quality. Their impact factors were 0.38, −0.24, and −0.05, respectively. Notably, the negative relationship of water quality and forested areas reflects that topography, types of landscapes, and soil thickness have considerable influences on the Maotiao River Basin’s water quality. Based on the findings, we infer that good farmland water conservancy projects and comprehensive management of different types of landscapes, such as forests, agriculture, and urban area and water bodies, are of great significance for improving water quality.