Wenwu Tan¹, Jianjun Zhang^1,*, Xing Liu¹, Jiang Wu¹, Yifu Sheng¹, Ke Xiao², Li Wang², Haijun Lin¹, Guang Sun³, Peng Guo⁴

Journal on Big Data, Vol.5, pp. 85-97, 2023, DOI:10.32604/jbd.2022.030908

Abstract At present, water pollution has become an important factor affecting and restricting national and regional economic development. Total phosphorus is one of the main sources of water pollution and eutrophication, so the prediction of total phosphorus in water quality has good research significance. This paper selects the total phosphorus and turbidity data for analysis by crawling the data of the water quality monitoring platform. By constructing the attribute object mapping relationship, the correlation between the two indicators was analyzed and used to predict the future data. Firstly, the monthly mean and daily mean concentrations of total phosphorus and turbidity outliers… More >

Kenedy A. Greyson^*

Journal on Internet of Things, Vol.5, pp. 1-11, 2023, DOI:10.32604/jiot.2023.040255

Abstract Rainwater harvesting (RWH) systems have been the source of domestic water for many years and still becoming essential in many communities of developing countries. However, due to various reasons, there are several sources of contamination in the rainwater cistern systems. Dissolved chemicals from the roofing, storage, and conveyance materials, together with the suspended particulate matter from the airborne, are examples of water contamination. In this work, the water quality monitoring system has been designed and implemented. Chemical and physical parameters of water samples were collected from three locations using a data acquisition (DAQ) system and rainwater quality was analyzed using… More >

Ziwen Yu¹, Jianjun Zhang^1,*, Wenwu Tan¹, Ziyi Xiong¹, Peilun Li¹, Liangqing Meng², Haijun Lin¹, Guang Sun³, Peng Guo⁴

Journal on Big Data, Vol.4, No.2, pp. 135-143, 2022, DOI:10.32604/jbd.2022.031024

Abstract Many countries are paying more and more attention to the protection of water resources at present, and how to protect water resources has received extensive attention from society. Water quality monitoring is the key work to water resources protection. How to efficiently collect and analyze water quality monitoring data is an important aspect of water resources protection. In this paper, python programming tools and regular expressions were used to design a web crawler for the acquisition of water quality monitoring data from Global Freshwater Quality Database (GEMStat) sites, and the multi-thread parallelism was added to improve the efficiency in the… More >

Anabi Hilary Kelechi¹, Mohammed H. Alsharif², Anya Chukwudi-eke Anya³, Mathias U. Bonet¹, Samson Aiyudubie Uyi¹, Peerapong Uthansakul^4,*, Jamel Nebhen⁵, Ayman A. Aly⁶

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2405-2424, 2021, DOI:10.32604/cmc.2021.018686

Abstract Water is one of the needs with remarkable significance to man and other living things. Water quality management is a concept based on the continuous monitoring of water quality. The monitoring scheme aims to accumulate data to make decisions on water resource descriptions, identify real and emergent issues involving water pollution, formulate priorities, and plan for water quality management. The regularly considered parameters when conducting water quality monitoring are turbidity, pH, temperature, conductivity, dissolved oxygen, chemical oxygen demand, biochemical oxygen demand, ammonia, and metal ions. The usual method employed in capturing these water parameters is the manual collection and sending… More >

Jianjun Zhang^1,*, Yifu Sheng¹, Weida Chen², Haijun Lin¹, Guang Sun³, Peng Guo⁴

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 389-405, 2021, DOI:10.32604/cmc.2020.012384

Abstract Water is one of the basic resources for human survival. Water pollution monitoring and protection have been becoming a major problem for many countries all over the world. Most traditional water quality monitoring systems, however, generally focus only on water quality data collection, ignoring data analysis and data mining. In addition, some dirty data and data loss may occur due to power failures or transmission failures, further affecting data analysis and its application. In order to meet these needs, by using Internet of things, cloud computing, and big data technologies, we designed and implemented a water quality monitoring data intelligent… More >

Yifu Sheng¹, Weida Chen, Huan Wen¹, Haijun Lin¹, Jianjun Zhang^{1, *}

Journal on Big Data, Vol.2, No.1, pp. 1-8, 2020, DOI:10.32604/jbd.2020.01001

Abstract Water resources are one of the basic resources for human survival, and water protection has been becoming a major problem for countries around the world. However, most of the traditional water quality monitoring research work is still concerned with the collection of water quality indicators, and ignored the analysis of water quality monitoring data and its value. In this paper, by adopting Laravel and AdminTE framework, we introduced how to design and implement a water quality data visualization platform based on Baidu ECharts. Through the deployed water quality sensor, the collected water quality indicator data is transmitted to the big… More >