Real-time measurement of total nitrogen for agricultural runoff based on multiparameter sensors and intelligent algorithms

Zhuang, Yanhua; Wen, Weijia; Ruan, Shuhe; Zhuang, Fuzhen; Xia, Biqing; Li, Sisi; Liu, Hongbin; Du, Yingxun; Zhang, Liang

doi:10.1016/j.watres.2021.117992

Cited by 20 publications

(4 citation statements)

References 47 publications

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“… Application-integrated smart manhole covers, water quality sensors, and 5G Internet of Things will be relevant tools for pollution monitoring and reduction. Additionally, long-term, continuous, autonomous monitoring and data exchange of drainage pipeline network pollution should be conducted [ 60 , 61 , 62 , 63 ]. A coupling model of urban hydrology, water quality, and hydrodynamic, non-point source pollution which is suitable for different scales should be developed, improved, and popularized to better analyze the characteristics of urban non-point source pollution and trace the sources pollutants.…”

Section: Discussionmentioning

confidence: 99%

Response Model for Urban Area Source Pollution and Water Environmental Quality in a River Network Region

Lai

Jie

et al. 2022

IJERPH

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With the development of cities, urban area source pollution has become more severe and a significant source of water pollution. To study the relationship between urban area source pollution and water environmental quality in a river network, this study uses a city in the Yangtze River Delta, China, as an example. The Storm Water Management Model (SWMM) model and the MIKE11 model were combined into a unified modeling framework and used to simulate dynamic changes in the water quality of a river network under light rain, moderate rain, and heavy rain. In the study period, the annual urban area source input loads of potassium permanganate (CODMn), total phosphorus (TP), and ammonia nitrogen were 29.8, 0.9, and 4.8 t, respectively. The influence of light rain on the water quality of the river network was lagging and temporary, and rainfall area pollution was the primary contributor. Under the scenario of moderate rain, overflow from a pipeline network compounded rainfall runoff, resulting in a longer duration of impact on the water quality in the river. Additionally, the water quality in the river course was worse under moderate rain than under light or heavy rain. Under the scenario of heavy rain, rain mainly served a dilutive function. This research can provide support for urban area source pollution control and management.

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Section: Discussionmentioning

confidence: 99%

Response Model for Urban Area Source Pollution and Water Environmental Quality in a River Network Region

Lai

Jie

et al. 2022

IJERPH

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“…To measure the accuracy, other studies used the coefficient of determination (R 2 ), as shown previously [49] for monitoring of the leaf nitrogen concentration of wheat, with accuracy of 0.91%. Another study [50] calculated the accuracy of the sensor by using the coefficient of determination (R 2 ) for measuring the total nitrogen content in agricultural runoff. [53] also proposed the monitoring of wheat grain nitrogen content with the coefficient of determination (R 2 ), with a result of 0.42%.…”

Section: Hardware Design Of Paddy Soil Phosphorus Measurement Systemmentioning

confidence: 99%

Spatial distribution of soil nutrient content for sustainable rice agriculture using geographic information system and Naïve Bayes classifier

Yudhana

Cahyo

Sabila

et al. 2023

International Journal on Smart Sensing and Intelligent Systems

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This study aims to assist farmers in monitoring soil nutrients, especially phosphorus. To measure the phosphorus content of paddy soil, the TCS3200 converter, as an intelligent sensor, was applied. The geographical information system (GIS) was also involved in this research to map the phosphorus content. In addition, the Naïve Bayes method was applied to classify lowland soil phosphorus status. The result of this study indicated that the Naïve Bayes algorithm could classify lowland soil phosphorus status with a probability of 0.34 for moderate phosphorus conditions and 0.66 for high phosphorus conditions. The sample testing results showed that the error rate was 3% and the success rate was 97%. Testing with a phosphorus-measuring instrument can be carried out by mapping the soil phosphorus status with the ArcGIS software, whereby seven points of medium-phosphorus-status paddy soil and 13 locations of high-phosphorus-status soil samples were determined. This research thus successfully mapped the soil phosphorus.

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“…Due to the effective implementation of government policies, digital modeling and the application and development of remote sensing technology, significant progress has been made in solving the problem of agricultural nonpoint source pollution [12]. Studies on agricultural nonpoint source pollution at home and abroad have focused on pollutant monitoring and load calculation [13][14][15][16]; pollutant accounting and distribution characteristics [17]; and pollution prevention and control, emission reduction and impact factors [18,19]. Studies have shown that China's Taihu Lake Basin suffers the most serious agricultural nonpoint source pollution [20], while Chaohu Lake Basin shows an overall increasing trend of TN pollution and a small increasing trend of TP pollution [21].…”

Section: Literature Reviewmentioning

confidence: 99%

Decoupling agriculture pollution and carbon reduction from economic growth in the Yangtze River Delta, China

Yuan

Xu²,

Kong³

2023

PLoS ONE

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Agriculture is the foundation of the national economy, and agricultural nonpoint source pollution and carbon emissions are the main environmental problems limiting the development of the agricultural economy. This study takes the Yangtze River Delta as the research object and measures agricultural carbon emissions and nonpoint source pollution in the study area from 2010 to 2020 respectively. The Tapio decoupling model is used to study types of decoupling between agricultural pollution and carbon reduction and economic growth in the Yangtze River Delta from 2010 to 2020, and the GM (1,1) model is used to predict the decoupling relationship between the agricultural environment and economic growth over the next ten years. The results show the following: (1) Agricultural COD emissions come mainly from livestock and poultry breeding, dropped from 1,130,120 tons in 2010 to 908,460 tons in 2020. Agricultural TN and TP emissions come mainly from plantations. Agricultural TN emissions dropped from 892,310 tons in 2010 to 788,020 tons in 2020. Agricultural TP emissions dropped from 149,590 tons in 2010 to130,770 tons in 2020. Agricultural carbon emissions dropped from 17,115,900 tons in 2010 to 15,786,600 tons in 2020, and come mainly from agricultural fertilizer and diesel fuel and pig breeding. (2) The decoupling effect of agricultural pollution reduction and carbon reduction in the Yangtze River Delta and economic growth has been in a long-term state, with negative decoupling occurring in a few regions, mainly in 2011, 2014 and 2020. (3) In the next ten years, except for 2021, when the coordination between agricultural pollution reduction and economic growth is poor, the two show good decoupling in the remaining years. Based on the results, this study makes recommendations on how to carry out comprehensive environmental management and promote green agricultural development.

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Real-time measurement of total nitrogen for agricultural runoff based on multiparameter sensors and intelligent algorithms

Cited by 20 publications

References 47 publications

Response Model for Urban Area Source Pollution and Water Environmental Quality in a River Network Region

Response Model for Urban Area Source Pollution and Water Environmental Quality in a River Network Region

Spatial distribution of soil nutrient content for sustainable rice agriculture using geographic information system and Naïve Bayes classifier

Decoupling agriculture pollution and carbon reduction from economic growth in the Yangtze River Delta, China

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