scholarly journals Ammonium Nitrogen Streamflow Transport Modelling and Spatial Analysis in Two Chinese Basins

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 209
Author(s):  
Jingchen Yin ◽  
Haitao Chen ◽  
Yuqiu Wang ◽  
Lifeng Guo ◽  
Guoguang Li ◽  
...  
Keyword(s):  
Water Quality ◽  
Spatial Scales ◽  
Ammonium Nitrogen ◽  
Point Sources ◽  
Mechanistic Modeling ◽  
Vegetation Coverage ◽  
Haihe River Basin ◽  
Lake Basin ◽  
Haihe River ◽  
Transport Modelling

Ammonium nitrogen (NH4+-N), which naturally arises from the decomposition of organic substances through ammonification, has a tremendous influence on local water quality. Therefore, it is vital for water quality protection to assess the amount, sources, and streamflow transport of NH4+-N. SPAtially Referenced Regressions on Watershed attributes (SPARROW), which is a hybrid empirical and mechanistic modeling technique based on a regression approach, can be used to conduct studies of different spatial scales on nutrient streamflow transport. In this paper, the load and delivery of NH4+-N in Poyang Lake Basin (PLB) and Haihe River Basin (HRB) were estimated using SPARROW. In PLB, NH4+-N load streamflow transport originating from point sources and farmland accounted for 41.83% and 32.84%, respectively. In HRB, NH4+-N load streamflow transport originating from residential land and farmland accounted for 40.16% and 36.75%, respectively. Hence, the following measures should be taken: In PLB, it is important to enhance the management of the point sources, such as municipal and industrial wastewater. In HRB, feasible measures include controlling the domestic pollution and reducing the usage of chemical fertilizers. In addition, increasing the vegetation coverage of both basins may be beneficial to their nutrient management. The SPARROW models built for PLB and HRB can serve as references for future uses for different basins with various conditions, extending this model’s scope and adaptability.

scholarly journals Study on the Causes of Water Environmental Pollution of Important Rivers in Haihe River Basin and Countermeasures

2021 ◽  
Vol 261 ◽  
pp. 04023
Author(s):  
Xu He ◽  
Hou Siyan
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Environmental Pollution ◽  
River Basin ◽  
River Regulation ◽  
Haihe River Basin ◽  
Point Source Pollution ◽  
Haihe River ◽  
The Impact

The water quality of six important rivers in Haihe River Basin, including Yongding River, Luanhe River, North Canal, Daqing River, South Canal and Chaobai River, was evaluated. The influence of point source and non-point source on water quality was analyzed. The causes of water environmental pollution in the major rivers were preliminarily revealed. The results show that the water quality of Chaobai River is good, and the impact of point source and non-point source discharge on the water body is small. Other rivers are affected by different degrees of point source and non-point source pollution. Based on the analysis results, the engineering measures and management countermeasures for river regulation are put forward.

scholarly journals Status of water use and water quality in the Khanka Lake basin

2020 ◽  
Author(s):  
Л.В. ГОРБАТЕНКО
Keyword(s):  
Water Quality ◽  
Water Use ◽  
Industrial Sector ◽  
Point Sources ◽  
Small Rivers ◽  
Pollution Indices ◽  
Lake Basin ◽  
Industrial Enterprises ◽  
The Many

Для отдельных муниципальных территорий, расположенных в бассейне оз. Ханка, проведена комплексная оценка водопользования, в том числе точечных сбросов загрязняющих веществ предприятиями-водопользователями. Описан состав этих сбросов с указанием характерных для каждой территории и производственной отрасли загрязняющих веществ. Установлены водотоки с наибольшими объемами сбросов. Показано, что самыми загрязненными на протяжении многих лет являются небольшие реки с низкой самоочищающей способностью. Анализируются современные и ретроспективные особенности качественного состава речных вод бассейна в целом, приводится оценка динамики качества отдельных водотоков по удельным комбинаторным индексам загрязнения вод (УКИЗВ). At the level of municipal territories a comprehensive assessment of water use in the Khanka Lake basin, including point sources of polluting substances discharge by water use industrial enterprises, has been conducted. The composition of sewage with an indication of distinctive pollutants for every territory and industrial sector is analyzed. Watercourses for which the volumes of pollutants discharges are the largest are identified. The most polluted of them over the many years are shown to be the small rivers with low self-cleaning capability. The modern and retrospective features of the river water quality in the Khanka Lake basin are analyzed, and the dynamics of the quality of some watercourses using calculated pollution indices is estimated.

Use of PCA-RBF model for prediction of chlorophyll-a in Yuqiao Reservoir in the Haihe River Basin, China

2013 ◽  
Vol 14 (1) ◽  
pp. 73-80 ◽  
Author(s):  
Liu Xiaobo ◽  
Dong Fei ◽  
He Guojian ◽  
Liu Jingling
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Chlorophyll A ◽  
River Basin ◽  
Forecast Error ◽  
Principal Component ◽  
Haihe River Basin ◽  
Haihe River ◽  
Yuqiao Reservoir ◽  
The Haihe River Basin

Chlorophyll-a is a well-accepted index for phytoplankton abundance and population of primary producers in an aquatic environment. The relationships between chlorophyll-a and 18 chemical, physical and biological water quality variables in YuQiao Reservoir (YQR) in the Haihe River Basin in P.R. China were studied by using principal component analysis (PCA) coupled with a radial basis function network (RBF) model to predict chlorophyll-a levels. Principal component analysis was used to simplify the complexity of relations between water quality variables. Score values obtained by PC scores were used as independent variables in the RBF models. In the forecast, only five selected score values obtained by PC analysis were used for the prediction of chlorophyll-a levels. Correlative analysis between the modeled results and observed data indicates that the correlative coefficient is 0.61, and analysis of the forecast error rate shows that the average forecast error is 32.9%, proving the viability of the forecast model.

A Coupled Model of Hydrodynamics and Water Quality for Yuqiao Reservoir in Haihe River Basin

2008 ◽  
Vol 20 (5) ◽  
pp. 574-582 ◽  
Author(s):  
Xiao-bo Liu ◽  
Wen-qi Peng ◽  
Guo-jian He ◽  
Jing-ling Liu ◽  
Yu-chun Wang
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Coupled Model ◽  
Haihe River Basin ◽  
Haihe River ◽  
Yuqiao Reservoir

scholarly journals Fecal Contamination and High Nutrient Levels Pollute the Watersheds of Wujiang, China

Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 457
Author(s):  
Raju Sekar ◽  
Xin Jin ◽  
Shuang Liu ◽  
Jing Lu ◽  
Jianwei Shen ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Management Strategies ◽  
Fecal Contamination ◽  
Water Quality Monitoring ◽  
Ammonium Nitrogen ◽  
Point Sources ◽  
Fecal Coliforms ◽  
Land Use Patterns ◽  
Sources Of Pollution

Freshwaters in China are affected by point and non-point sources of pollution. The Wujiang District (Suzhou City, China) has a long history of canals, rivers, and lakes that are currently facing various water quality issues. In this study, the water quality of four rivers and a lake in Wujiang was assessed to quantify pollution and explore its causes. Seventy-five monthly samples were collected from these water bodies (five locations/samples per area) from August to October 2020 and were compared with nine control samples collected from a water protection area. Fifteen physicochemical, microbiological, and molecular–microbiological parameters were analyzed, including nutrients, total and fecal coliforms, and fecal markers. Significant monthly variation was observed for most parameters at all areas. Total phosphorus, phosphates, total nitrogen, ammonium–nitrogen, and fecal coliforms mostly exceeded the acceptable limits set by the Chinese Ministry of Environmental Protection. The LiPuDang Lake and the WuFangGang River were the most degraded areas. The studied parameters were correlated with urban, agricultural, industrial, and other major land use patterns. The results suggest that fecal contamination and nutrients, associated with certain land use practices, are the primary pollution factors in the Wujiang District. Detailed water quality monitoring and targeted management strategies are necessary to control pollution in Wujiang’s watersheds.

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