Ecological Water Environment Research Articles

GIS platform ecological water environment pollution automatic monitoring and analysis

This paper summarizes the application of GIS platform for automatic monitoring of ecological water environmental pollution. Firstly, the function of GIS platform and its combination with environmental monitoring are briefly introduced, and then the pollution status of ecological water environment is analyzed, including the source of pollution, classification and the impact on environment and human beings. This paper focuses on the application of GIS in data collection and integration, spatial distribution analysis of pollutants, simulation and prediction of pollution diffusion, design and implementation of monitoring system, etc. Through the introduction of GIS technology, the monitoring and management of ecological water environmental pollution can be realized more effectively, which provides a strong support for environmental protection.

Effect of phosphorus on the performance of sulfur autotrophic denitrification

Autotrophic denitrification, recognized as a biological denitrification method, has garnered increasing interest in the field of ecological water environment denitrification technology. This study focuses on the utilization of the sulfur autotrophic denitrification process for the deep denitrification treatment of wastewater. Furthermore, it investigates the impact of phosphorus on nitrogen removal efficiency and bacterial community structure of sulfur autotrophic denitrification. In the experiment, a column containing an autotrophic denitrification filter with a carbon-sulfur filler was constructed. This study aimed to examine the impact of phosphorus on the initiation and denitrification efficiency of the autotrophic denitrification filter column. High-throughput sequencing was used to examine alterations in the structure of the bacterial community. The experimental findings indicated that the absence of phosphorus in the influent considerably extended the initiation period of the autotrophic denitrification filter column. The average Total Inorganic Nitrogen (TIN) removal rate was determined to be 80.26%, while the effluent exhibited an accumulation concentration of NO2−-N ranging from 7 to 11 mg/L. After the addition of phosphate, the removal rate of NO3−-N in the autotrophic denitrification process increased to more than 97%, with no2−-N accumulation. As the influent phosphorus concentration increased, the ability of the sulfur autotrophic denitrification filter column to resist hydraulic impact load improved. At a NO3−-N concentration of 30 mg/L and Hydraulic Retention Time (HRT) = 2 h, the mean NO3−-N removal rate increased from 73.22% to 81.71%. The concentration of phosphorus affected the quantity and variety of primary bacteria in the sulfur autotrophic denitrification system, as their domination changed from Pseudomonas to Ferritrophicum and Thiobacillus, and from a mixed culture to complete autotrophy.

Theory and Practice of Hydrodynamic Reconstruction in Plain River Networks

The river networks in the plains of China are in low-lying terrain with mild bed slopes and weak hydrodynamics conditions. Filled with intense human activities, these areas are characterized by serious water security problems, e.g., frequent floods, poor water self-purification capabilities, and fragile water ecosystems. In this paper, it’s found that all these problems are related to hydrodynamics, and the spatiotemporal imbalance of river network hydrodynamics is identified as the common cause of these water-related problems. From this, a theory for the hydrodynamic reconstruction of plain river networks is proposed. In addition to the importance of the flow volume, this theory highlights the role of hydrodynamics and limited energy in improving the ecological water environment. The layout of water conservancy project systems (e.g., sluices and pumping stations) is optimized to fully tapping the potential integrative benefit of projects. The optimal temporal and spatial distributions of hydrodynamic patterns is reconstructed in order to meet the needs of the integrated management of complex water-related problems in river networks. On this basis, a complete theoretical method and technical system for multiscale hydrodynamic reconstruction and multi-objective hydraulic regulation in plain river networks with weak hydrodynamics is established. The principles of the integrated management of water problems in river network areas are put forward. The practical application and efficacy of the theory are demonstrated through a case study aiming to improve the water quality of the river network in the main urban area of Yangzhou City.

Retracted: Application of Artificial Intelligence in the Process of Ecological Water Environment Governance and Its Impact on Economic Growth

Retracted: Application of Artificial Intelligence in the Process of Ecological Water Environment Governance and Its Impact on Economic Growth

Sustainable Innovation on Urban Landscape Construction and Ecological Water Environment Governance Process

Abstract In recent years, various cities have continued to build urban landscapes with typical characteristics, but most of the urban landscape constructions are too similar. There is even a problem that the urban landscape is not recognised by the local people, and the same is true for the problem of ecological water governance. This article aims to study the sustainable innovation of urban landscape construction and ecological water environment governance process. To this end, this article proposes fuzzy comprehensive evaluation criteria and goals, through this evaluation system to evaluate the urban landscape construction and ecological water environment management process, and at the same time design experiments to investigate. The experimental results of this paper show that the evaluation system can help improve the urban landscape construction and ecological water environment management. At the same time, the analysis results show that under this evaluation system, urban residents’ satisfaction with the urban landscape has increased by 47 %. At the same time, the effect of water treatment has also been improved, with an improvement effect of 31 %. For the actual governance process, the effect is huge.

Application of Artificial Intelligence in the Process of Ecological Water Environment Governance and Its Impact on Economic Growth

With the increasing pollution of the ecological water environment, the treatment of the ecological water environment has become the focus of everyone’s attention. At present, there are many research results on water environment governance, but the effect is not ideal. In order to effectively control the ecological water environment and promote sustainable economic growth, this research combines artificial intelligence algorithms and applies them to the governance process to explore its application effects and its impact on economic growth. First, the environmental sensor of the corresponding module is designed according to the water environment factor, and the data of dissolved oxygen content, water temperature, turbidity, temperature and humidity, and smoke concentration in the water environment are collected. Then the dynamic time-varying exponential smoothing prediction method is used to predict water quality, and a water quality prediction model is established. Then use support vector machine (SVM) to train the collected data samples, use the decision tree-based SVM classification method to classify the data samples, establish a water quality evaluation model, and use particle swarm optimization algorithm to optimize the evaluation model. Put the sensors and predictive evaluation models established in this research design into the governance of a certain river reach, and collect relevant data from 7 : 00 to 18 : 00 on October 11, 2019. And predict and evaluate its water quality. The experimental results show that the average absolute error of predicting dissolved oxygen content is 0.97%, and the average absolute error of predicting phosphorus content is 2.27%. This shows that the application of artificial intelligence algorithms in the process of ecological water environmental governance can effectively help collect effective information and make more accurate predictions and evaluations of water quality, thereby improving governance efficiency and promoting sustainable economic growth.

The damage of water environment and the distribution change of biological community in Sanmenxia, Henan Province, under tourism development

In order to improve the deviation of the traditional grey comprehensive correlation analysis method, fuzzy comprehensive evaluation method, and data envelopment analysis method, an evaluation model based on rapid impact assessment matrix (RIAM) model was designed to evaluate the impact of tourism development on water environment destruction and the distribution of biological communities in Sanmenxia, Henan Province. Taking Sanmenxia City in Henan Province as an example, the analysis direction was determined by questionnaire survey, and the indexes were selected, quantified, and processed. The weights of indexes were calculated by analytic hierarchy process (AHP), and the comprehensive score was conducted according to the RIAM model. The experimental results show that the design model can effectively reduce the deviation of traditional method analysis, and is more in line with the actual situation of Sanmenxia ecological water environment in Henan Province.

Detection method of dissolved oxygen saturation in ecological water in coastal cities

In order to monitor the dissolved oxygen saturation in the ecological water environment of coastal cities in real time, it provides a basis for the control of ecological water pollution in coastal cities. Therefore, the detection method of ecological water pollution saturation in coastal cities is studied. First, the process and principle of dissolved oxygen in the water body are solved, and the equilibrium equation of dissolved oxygen is obtained. The Mutual Information-Particle Swarm Optimization-Radial Basis Function (MI-PSO-RBF) saturation detection method is used to detect the dissolved oxygen saturation in the ecological water of coastal cities. This method preprocesses the sampling data of ecological water in coastal cities, uses mutual information theory and dissolved oxygen balance equation, and detects the saturation of ecological water pollution through particle swarm optimization RBF neural network. Experimental results show that this method can effectively detect the saturation of ecological water pollution in coastal cities. The detection accuracy of dissolved oxygen saturation in a research area in Shandong is as high as 99%, and the detection time is less than 40 ms.

Research on the vulnerability of ecological water resources under continuous precipitation based on spatial heterogeneity

In order to overcome the problem of high error of water resources vulnerability assessment results existing in traditional assessment methods, this paper proposes an assessment method of ecological water resources vulnerability under continuous precipitation environment based on spatial heterogeneity. First of all, the analysis of the effect of continuous precipitation of ecological water environment, in the judgment of water resources developed on the basis of the degree of spatial heterogeneity of the ecological vulnerability of water resources evaluation system, and then set the natural factors and human factors, load factors for the primary index, water quality, water quantity, flood, drought, as secondary indexes, and combining the entropy weight method and the linear weighted method for evaluation of the ecological vulnerability of water resources. The experimental results show that the absolute error of the vulnerability index evaluation results calculated by this method is always less than 0.04, and the relative evaluation error is always less than 3%, indicating that the evaluation results of this method are more reliable and more practical.

Regional differences in citizens' water behaviors: a comparative study of typical cities based on AMOS

Abstract At present, the urban water issue has attracted great attention from government. The transition from ‘engineering measures’ to ‘human behaviors’ is a new angle for water resources protection in the new era. In this paper, 12 characterization parameters were obtained based on the analysis of characteristics of residents' water behaviors. Beijing and Shanghai are selected as the representative cities in the north and south regions respectively, and a questionnaire about residents' water behaviors, which includes three basic personal characteristics and 12 indicators, was prepared. By using a structural equation model, a comparative study on the differences of the impact paths of characterization parameters of residents' water behavior in two cities was discussed. Finally, suggestions are proposed on the basis of the evaluation model and the results of analysis. The results showed that: Beijing had similar impacting paths in Ecological Water Environment management behaviors and persuasive behaviors to Shanghai. There were obvious differences in residents' water behaviors impact paths by basic individual characteristics, consuming behaviors and legal behaviors in Beijing and Shanghai. Finally, suggestions are proposed on the basis of the evaluation model and the results of analysis.

Spatial Distribution Characteristics of Nutrients and Chlorophyll A in the Lancang River Basin Under Cascade Reservoirs

Construction of cascade reservoirs in Lancang River had a certain influence on the ecological water environment of the basin, dividing the water into natural reaches and reservoir reaches. To explore the impact of the cascade reservoirs on the ecological environment, the nutrient and the chlorophyll a distribution data were measured in the natural reaches, reservoir reaches, and tributaries in June 2017. The results showed that the TN ranged from 0.37 to 1.22 mg·L-1, with an average of 0.70 mg·L-1, and the TP ranged from 0.01 to 0.19 mg·L-1, with an average of 0.04 mg·L-1. One-way ANOVA analysis showed significant spatial differences in the TN, with the TN concentration following the order tributaries > reservior reaches > natural reaches. However, the TP concentration did not show a significant trend. The chlorophyll a concentration varied from 2.6 to 10.2 μg·L-1, with a mean of 5.8 μg·L-1. Pearson correlation analysis showed significant relationships between the chlorophyll a concentration and the TP, water temperature, and Zeu/Zmix. The relationship between chlorophyll a and Zeu/Zmix was particularly significant, which indicated the Zeu/Zmix caused by thermal stratification may be the key factor influencing the growth of phytoplankton.

Adaptive management of water resources based on an advanced entropy method to quantify agent information

Abstract Adaptive management is currently an important method to optimize the management of complex water resources systems. Regional water resources adaptive management was conducted based on the advanced theory of a complex system multi-agent model; the state of an agent was tracked and modified by information entropy theory, which was improved by using individual standard deviations. With the goal of optimizing the adaptation of each agent of the region, water resources in the major grain production area of China were managed under the constraints of the total annual available water resources and water use efficiency requirements for 2015 and 2030. By introducing the adaptive water resources management in 2015, the domestic benefits and economic benefits increased by 2.90% and 14.81%, respectively, with respect to observed values. The ecological benefits declined by 3.63%, but ecological water demand was fully satisfied, and the ecological water environment was improved. Given the water use efficiency targets in 2030, applying adaptive management resulted in an increase of domestic, economic, and ecological benefits of 34.29%, 21.14%, and 1.78%, respectively. The results show that the adaptive management method presented can help managers to balance the benefits of various agents to determine the direction of water resources management decisions.

Spatial and temporal variations in the relationship between lake water surface temperatures and water quality - A case study of Dianchi Lake

Global warming and rapid urbanization in China have caused a series of ecological problems. One consequence has involved the degradation of lake water environments. Lake surface water temperatures (LSWTs) significantly shape water ecological environments and are highly correlated with the watershed ecosystem features and biodiversity levels. Analysing and predicting spatiotemporal changes in LSWT and exploring the corresponding impacts on water quality is essential for controlling and improving the ecological water environment of watersheds. In this study, Dianchi Lake was examined through an analysis of 54 water quality indicators from 10 water quality monitoring sites from 2005 to 2016. Support vector regression (SVR), Principal Component Analysis (PCA) and Back Propagation Artificial Neural Network (BPANN) methods were applied to form a hybrid forecasting model. A geospatial analysis was conducted to observe historical LSWTs and water quality changes for Dianchi Lake from 2005 to 2016. Based on the constructed model, LSWTs and changes in water quality were simulated for 2017 to 2020. The relationship between LSWTs and water quality thresholds was studied. The results show limited errors and highly generalized levels of predictive performance. In addition, a spatial visualization analysis shows that from 2005 to 2020, the chlorophyll-a (Chla), chemical oxygen demand (COD) and total nitrogen (TN) diffused from north to south and that ammonia nitrogen (NH3-N) and total phosphorus (TP) levels are increases in the northern part of Dianchi Lake, where the LSWT levels exceed 17°C. The LSWT threshold is 17.6–18.53°C, which falls within the threshold for nutritional water quality, but COD and TN levels fall below V class water quality standards. Transparency (Trans), COD, biochemical oxygen demand (BOD) and Chla levels present a close relationship with LSWT, and LSWTs are found to fundamentally affect lake cyanobacterial blooms.

Calculation of the environmental dredging depth for removal of river sediments contaminated by heavy metals

Sediment contamination by heavy metals can result in significant damage to the ecological water environment. Sediment dredging is a useful way to reduce the adverse effects of heavy metal pollution in freshwater. The dredging depth is a key parameter in environmental dredging engineering. In this paper, we propose an innovative method called the critical-risk-depth method for calculating the environmental dredging depth that has been specifically designed for removal of river sediments contaminated by heavy metals. To determine the critical risk depth for dredging, the heavy metal concentrations at different sediment depths and their potential ecological risks must be tested and evaluated. The first step of the method involves analyzing sediments to determine the lateral and vertical distribution of heavy metals. In the next step, Hakanson’s potential ecological risk index is used to assess the ecological risk of heavy metals at different sediment depths. Finally, the recommended environmental dredging depths are calculated based on the potential risk for change in the vertical distribution and the given threshold level for the potential critical risk from heavy metals. We carried out a case study to determine the dredging depth for river sediment in Pinghu. The sediment analysis results show that the contents of Cd, Zn, and Pb are excessive when compared with the local soil background levels. Because of the accumulation effect of heavy metals in sediments, the heavy metal contents tend to decrease with sediment depth, but this trend may change as a result of human activities and other river dredging events. There is a high potential ecological risk level from heavy metal pollution in sediments in the study area, and the recommended environmental dredging depths of the ten rivers range from 35 to 100 cm.

Stable isotope variations in the ground ice of Beiluhe Basin on the Qinghai-Tibet Plateau

Ground ice is extensive in the permafrost regions of the Qinghai-Tibet Plateau. It is useful for regulating water resources in Plateau regions, and affects the ecological water environment in permafrost areas. This research investigated the isotope characteristics of ground ice on the Qinghai-Tibet Plateau. In this work, 73 samples of ground ice from 4 boreholes were collected to analyze and compare stable isotopes with precipitation and river water. The results show that isotope composition of ground ice varied in narrow ranges, ranging from −13.16‰ to −9.08‰ for δ18O and from −103.61‰ to −69.92‰ for δD. The isotope composition of subsurface ground ice is slightly more positive than that of deep-layers due to the fractionation of freezing. Based on the recharge relationships among ground ice, precipitation, and river water, subsurface ground ice is partly recharged by precipitation and river water. However, the isotope variations of deep-layer ground ice may be the result of isotope fractionation under different climate conditions.

Reduction of Waste Water in Erhai Lake Based on MIKE21 Hydrodynamic and Water Quality Model

In order to study the ecological water environment in Erhai Lake, different monitoring sections were set to research the change of hydrodynamics and water quality. According to the measured data, MIKE21 Ecolab, the water quality simulation software developed by DHI, is applied to simulate the water quality in Erhai Lake. The hydrodynamics model coupled with water quality is established by MIKE21FM software to simulate the current situation of Erhai Lake. Then through the comparison with the monitoring data, the model parameters are calibrated and the simulation results are verified. Based on this, water quality is simulated by the two-dimensional hydrodynamics and water quality coupled model. The results indicate that the level of water quality in the north and south of lake is level III, while in the center of lake, the water quality is level II. Finally, the water environment capacity and total emmision reduction of pollutants are filtered to give some guidance for the water resources management and effective utilization in the Erhai Lake.