Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Source Apportionment of Inorganic Nitrogen in Shallow Groundwater in the Chengdu Plain Area Based on Multiple Quantitative and Qualitative Methods

View through CrossRef
Abstract With urban construction, economic development, and population growth, groundwater quality has become an important factor restricting the green development of Chengdu's cities,the accumulation of nitrates and nitrites in the body can harm human health in particular. However, the source of inorganic nitrogen is complex, so it is of great significance to accurately understand the formation process of inorganic nitrogen in groundwater, for utilizing and managing groundwater resources scientifically and rationally. Based on water chemical analysis, the self-organizing neural network (SOM), combined with principal component analysis(PCA), the absolute principal component score-multiple linear regression receptor model (APCS-MLR) and positive definite matrix decomposition (PMF) are used to quantitatively identify the influence of anthropogenic and natural factors on groundwater quality in the basin. The results show that: (1) The average nitrate nitrogen content in the study area are 2.59mg/L, the exceedance rate is 2.44%, the average ammonia nitrogen content is 0.1mg/L, the exceedance rate is 6.1%, and the average nitrite content is 0.02mg/L. (2) According to the characteristics of SOM, the number of clusters 1, 2 and 3 affected by geological background is much larger, indicating that the groundwater quality in the study area is greatly affected by the geological background. (3) According to the PCA/APCS-MLR result, the contribution rates of evaporative salt dissolution, reduction, domestic pollution, silicate dissolution and unknown sources to groundwater quality are respectively 31.63%, 13.02%, 9.17%, 32.15% and 14.03%, and natural sources are the main factors(the comprehensive contribution rate is 76.81%). From the perspective of individual influencing factors, the contribution rate of domestic pollution to NO 3 - -N in the study area is the highest (38.85% contribution rate), and the reduction effect is the main influencing factor of NH 4 + -N (49.72%). (4) According to the PMF result, the contribution rates of water-rock interaction, domestic pollution, reduction, waste liquid leaching and soil dissolution filtration to the groundwater quality in the study area are 32.28%, 11.51%, 16.01.20.68% and 19.52%, respectively, and natural sources are the main factors affecting the quality of groundwater in the study, with a contribution rate of 67.81%, and the impact of human activities are not small, with a contribution rate of 32.19%. From the perspective of individual influencing factors, domestic pollution (Factor2) contributed the highest, human activities are the main factors affecting the content of NO 3 - -N in groundwater in the study area, and water-rock interaction (Factor1) is mainly from natural sources in the groundwater in the study area, and human activities have little impact. Therefore, the combination of qualitative and quantitative methods can complement and verify each other, so as to improve the accuracy and comprehensiveness of the analysis results and more effectively reflect the actual situation of the study area, and providing a reliable reference for subsequent water environment management in the study area.
Title: Source Apportionment of Inorganic Nitrogen in Shallow Groundwater in the Chengdu Plain Area Based on Multiple Quantitative and Qualitative Methods
Description:
Abstract With urban construction, economic development, and population growth, groundwater quality has become an important factor restricting the green development of Chengdu's cities,the accumulation of nitrates and nitrites in the body can harm human health in particular.
However, the source of inorganic nitrogen is complex, so it is of great significance to accurately understand the formation process of inorganic nitrogen in groundwater, for utilizing and managing groundwater resources scientifically and rationally.
Based on water chemical analysis, the self-organizing neural network (SOM), combined with principal component analysis(PCA), the absolute principal component score-multiple linear regression receptor model (APCS-MLR) and positive definite matrix decomposition (PMF) are used to quantitatively identify the influence of anthropogenic and natural factors on groundwater quality in the basin.
The results show that: (1) The average nitrate nitrogen content in the study area are 2.
59mg/L, the exceedance rate is 2.
44%, the average ammonia nitrogen content is 0.
1mg/L, the exceedance rate is 6.
1%, and the average nitrite content is 0.
02mg/L.
(2) According to the characteristics of SOM, the number of clusters 1, 2 and 3 affected by geological background is much larger, indicating that the groundwater quality in the study area is greatly affected by the geological background.
(3) According to the PCA/APCS-MLR result, the contribution rates of evaporative salt dissolution, reduction, domestic pollution, silicate dissolution and unknown sources to groundwater quality are respectively 31.
63%, 13.
02%, 9.
17%, 32.
15% and 14.
03%, and natural sources are the main factors(the comprehensive contribution rate is 76.
81%).
From the perspective of individual influencing factors, the contribution rate of domestic pollution to NO 3 - -N in the study area is the highest (38.
85% contribution rate), and the reduction effect is the main influencing factor of NH 4 + -N (49.
72%).
(4) According to the PMF result, the contribution rates of water-rock interaction, domestic pollution, reduction, waste liquid leaching and soil dissolution filtration to the groundwater quality in the study area are 32.
28%, 11.
51%, 16.
01.
20.
68% and 19.
52%, respectively, and natural sources are the main factors affecting the quality of groundwater in the study, with a contribution rate of 67.
81%, and the impact of human activities are not small, with a contribution rate of 32.
19%.
From the perspective of individual influencing factors, domestic pollution (Factor2) contributed the highest, human activities are the main factors affecting the content of NO 3 - -N in groundwater in the study area, and water-rock interaction (Factor1) is mainly from natural sources in the groundwater in the study area, and human activities have little impact.
Therefore, the combination of qualitative and quantitative methods can complement and verify each other, so as to improve the accuracy and comprehensiveness of the analysis results and more effectively reflect the actual situation of the study area, and providing a reliable reference for subsequent water environment management in the study area.

Related Results

Characterizing Groundwater Quality, Recharge and Distribution under Anthropogenic conditions
Characterizing Groundwater Quality, Recharge and Distribution under Anthropogenic conditions
Awareness concerning sustainable groundwater management is gaining traction and calls for adequate understanding of the complexities of natural and anthropogenic processes and how ...
Influence of Subway Construction on Groundwater Environment in Downtown Area of Chengdu
Influence of Subway Construction on Groundwater Environment in Downtown Area of Chengdu
<p>Located at the southeast of the Minjiang alluvial-proluvial fan, the downtown area of Chengdu mainly composed of sand gravel layer. Now Chengdu has 8 subway lines ...
Forecasting Net Groundwater Depletion in Well Irrigation Areas with Long Short-term Memory Networks
Forecasting Net Groundwater Depletion in Well Irrigation Areas with Long Short-term Memory Networks
<p>Due to the scarcity of available surface water, many irrigated areas in North China Plain (NCP) heavily rely on groundwater, which has resulted in groundwater over...
Groundwater Flow Simulation and its Application in Groundwater Resource Evaluation in the North China Plain, China
Groundwater Flow Simulation and its Application in Groundwater Resource Evaluation in the North China Plain, China
AbstractThe purpose of this study is to establish a 3D groundwater flow modelling for evaluating groundwater resources of the North China Plain. First, the North China Plain was di...
Indicator-based assessment of groundwater resources sustainability in South Korea
Indicator-based assessment of groundwater resources sustainability in South Korea
Groundwater level decline and quality deterioration is continuously observed nationwide in South Korea. Meanwhile, the demand for groundwater, which is relatively stable and clean ...
Characteristics of groundwater circulation and evolution in Yanhe spring basin driven by coal mining
Characteristics of groundwater circulation and evolution in Yanhe spring basin driven by coal mining
Abstract The Yanhe spring basin located in the Jindong coal base is relatively short of water resources and the ecological environment is fragile. With the large-scale mini...
The Chemical Properties and Formation Mechanisms of Shallow Groundwater in the Guohe River Basin, China
The Chemical Properties and Formation Mechanisms of Shallow Groundwater in the Guohe River Basin, China
An investigation of the distribution and control factors of groundwater is significant for the rational exploitation and utilization of groundwater resources. This study analyzes t...

Back to Top