Systematic Evaluation and Influencing Factors Analysis of Water Environmental Carrying Capacity in Taihu Basin, China

Hu, Zhibing; Pang, Yong; Xu, Ruichen; Yu, Hui; Niu, Yuan; Wu, Changgan; Liu, Yuan

doi:10.3390/w15061213

Cited by 6 publications

(3 citation statements)

References 63 publications

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“…The establishment of the indicator system of the land and water resource system is the basis and prerequisite for analyzing the evolution trend, and also the main basis for determining the influencing factors [33]. In this paper, we observe the basic principles of data accessibility, objectivity, and overall operability of the indicator system [34].…”

Section: Constructing Indicator Systemmentioning

confidence: 99%

Comparative Analysis of the Evolutionary Characteristics and Influencing Factors of Land and Water Resource Systems in Major Grain-Producing Areas

Cheng

Sun

et al. 2023

Water

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In the process of rapid advancement of agricultural production, the dynamic evolution characteristics of land and water resources in the main grain-producing areas and the influencing factors are less studied. This study takes Heilongjiang Province, the main grain-producing area in China, as an example, constructs an index system from three functions: production, life, and ecology, uses information entropy to determine the weights and importance of each index, uses the rate of change of the index to determine the basic data of the dynamic development of the system, combines the weights to determine the dynamic evolution characteristics, and compares and analyzes them with the static evolution characteristics determined by the actual data. The results showed that there were differences in the important indicators under different conditions, and the important indicators under static and dynamic conditions were the proportion of the tertiary industry to GDP(A7) and GDP per unit area(A8), with importance weights of 7.45% and 8.0%, respectively. The static evolution index of the land and water resource system increased slowly from 0.16 to 0.91, while the dynamic evolution index fluctuated and declined from 0.58 to 0.34, indicating that the ability of the land and water resource system in the study area to maximize comprehensive benefits is constantly weakening. Managers can pre-control the development speed of the important indicators under dynamic conditions and promote the sustainable development of the land and water resource system.

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Section: Constructing Indicator Systemmentioning

confidence: 99%

Comparative Analysis of the Evolutionary Characteristics and Influencing Factors of Land and Water Resource Systems in Major Grain-Producing Areas

Cheng

Sun

et al. 2023

Water

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“…A variety of model methods have gradually emerged, such as principal component analysis [5,6] , matter-element model [7,8] , projection pursuit [9,10] , fuzzy evaluation [11][12][13] , multi-objective decision [14][15][16] , water footprint theory [17][18][19] , system dynamics method (SD) [20][21] . With the improvement of the theoretical system, the comprehensive method coupled model evaluation system [22,23] has been further improved, such as DPSIR model [24] , PSR model [25,26] , quality-domain-flow model [27][28] and multi-dimensional cloud model [29][30][31][32] . With the wide application of machine learning technology, neural network algorithm [33][34][35] , genetic algorithm [36,37] and particle swarm optimization algorithm [38,39] have been applied to the quantitative calculation of water resources carrying capacity.…”

Section: Introductionmentioning

confidence: 99%

Assessment and early warning of water resources carrying capacity in Dongting Lake Ecological Economic Zone

Fu,

Ding,

Wang

et al. 2024

Preprint

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Assessment of water resource carrying capacity is a useful tool for measuring the degree of realization of resource and environmental planning. Scientific monitoring and evaluation of water resource carrying capacity is a basic requirement for building ecological civilization and implementing the development concept of "green water and green mountains are golden mountains and silver mountains". Taking 26 county units in the Dongting Lake Ecological and Economic Zone in Hunan Province as the evaluation object, 22 water resource carrying capacity evaluation indicators were selected, and the comprehensive weight method of subjective and objective combination of hierarchical entropy weight evaluation method and weighted summation comprehensive scoring method were used to calculate the comprehensive water resource carrying capacity values of 26 "county units" in the Dongting Lake Ecological and Economic Zone during the 25-year research period of 1997–2021. The results were analyzed using gray correlation method and Ridge regression modeling. After processing the input data of each layer based on the evaluation index system, BP neural network regression training was conducted to obtain a prediction model for the future trend of water resource carrying capacity for prediction and analysis. The results show that: (1) In terms of time trend, the water resource carrying capacity of the study area was generally stable, between overload and critical. The change trend of water resource carrying capacity changed greatly among districts and counties; (2) In terms of spatial distribution, there were differences in the water resource carrying capacity of the Dongting Lake ecological and economic zone: the water resource carrying capacity around the western districts and counties and the central South Dongting Lake was higher than the northern Yueyang urban area; (3) Among the four criteria layers, the weight of water resources supporting capacity was the highest, with the smallest change, and the economic supporting capacity index had the largest change. The decline in water resources carrying capacity in most districts and counties was during a period of relatively rapid economic development; (4) It was predicted that the water resource carrying capacity of Nanxian, Hanshou, and Xiangyin counties around the South Dongting Lake would significantly increase in 2025, shifting from overload to a critical state, and maintaining this trend in the coming years; (5) Dingcheng District of Changde City would gradually transform from critical to overload, and maintain this trend in the coming years. To sum up, the key to improve the water resources carrying capacity of Dongting Lake Ecological Economic Zone was to prevent water resources pollution, optimize water resources allocation and improve water resources utilization efficiency. It was recommended from our study that the government should continue to strengthen the awareness of water environment protection and water environment governance measures, and regularly conduct environmental governance performance evaluation to improve the accuracy of comprehensive governance. Based on the long-term objectives, we should formulate measures to protect Dongting Lake, promote the construction of new urbanization, and develop green industries such as ecological agriculture, ecological industry, and ecological tourism according to local conditions.

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“…Taking total phosphorus load as an example, the annual riverine total phosphorus load accounts for 55% to 70% of the total load, serving as the primary pathway for exogenous input (Li et al 2022). One of the reasons for this is that the current studies on the control and reduction of major water pollutants are mainly based on the regional water environment capacity, especially regarding total nitrogen and total phosphorus (Yan et al 2019a, Hu et al 2023. However, in reality, legacy internal nitrogen and phosphorus supplies can lead to a lag between reduction in external loading and decreases in bloom magnitude and areal extent (Xu et al 2021a).…”

Section: Introductionmentioning

confidence: 99%

Assessment of a new nutrient management strategy to control harmful cyanobacterial blooms in Lake Taihu using a hydrodynamic-ecological model

Weng,

Jiang,

Yuan

et al. 2023

Environ. Res. Commun.

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The external nutrient loading significantly affects large shallow lakes, particularly those with intricate rive networks. In Lake Taihu, pollutant discharge standards have traditionally been quantified based on water environmental capacity, while neglecting the response characteristics of algal growth in different regions to boundary inputs. For that analysis, this study first estimated the river pollutant loadings of 16 most significant inflow and outflow rivers of Lake Taihu from 2008 to 2020 and explored the correlations between inflow water quality parameters and lacustrine chlorophyll-a levels. Results highlighted the significant influence of high river input of permanganate values in spring on the chlorophyll-a levels in the lake. Based on this, this study proposed the hypothesis that reducing the inflow concentration of permanganate in spring would inhibit algal growth, which was further validated using coupled hydrodynamic and ecological models. The simulation results indicated that the reduction of permanganate inflow concentration during spring would significantly decrease chlorophyll-a concentration in spring and summer, especially leading to a notable impact on peak values. However, due to variations in background concentrations among rivers, the extent of reduction in lake chlorophyll-a levels showed significant spatial differences. Additionally, analysis of extracted algal bloom areas revealed that there still remained a relatively high risk of algal blooms occurring in the main regions, particularly during autumn when inflow pollutant concentrations increased rapidly. These findings emphasized the importance of formulating reasonable exogenous reduction schemes, which should consider the concentration and variation trend of inflow pollutants, as well as the response characteristics of algal bloom growth in different lake zones to the boundary.

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Systematic Evaluation and Influencing Factors Analysis of Water Environmental Carrying Capacity in Taihu Basin, China

Cited by 6 publications

References 63 publications

Comparative Analysis of the Evolutionary Characteristics and Influencing Factors of Land and Water Resource Systems in Major Grain-Producing Areas

Comparative Analysis of the Evolutionary Characteristics and Influencing Factors of Land and Water Resource Systems in Major Grain-Producing Areas

Assessment and early warning of water resources carrying capacity in Dongting Lake Ecological Economic Zone

Assessment of a new nutrient management strategy to control harmful cyanobacterial blooms in Lake Taihu using a hydrodynamic-ecological model

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