AbstractAnguilla is a UK overseas (non‐independent) territory in the Caribbean. It is a small middle‐income island with a population of 13 000, and recent statistics indicate that it is more dependent on tourism than any other country or territory in the world. Rapid population growth and development have placed more emphasis on the need for human health and environmental protection. For the first time, a systematic water‐quality monitoring programme has been developed, based on the realities of the local situation, e.g. low resource base, limited capabilities, dependence on household rainwater catchment, storage cisterns, and a poor water‐supply network. Development of the programme incorporated the key themes of pragmatic, realistic, incremental, responsive, and consultative approaches.
The Hasanuddin University has two lakes / site that form a reservoir ecosystem network of water potential as a buffer zone soil water conservation both inside the campus and the region around the Unhas campus. Therefore, Unhas Lake water resources must be protected in order to get clear and healthy water for humans and other living things and should be monitored for water quality regularly and continuously. The research method is observational method with a descriptive study design. The water samples were taken from Unhas Lake which is divided into five sampling points determined by purposive sampling method. Based on physical parameters test results of five sampling points obtained, Unhas Lake Water temperatures were quite stable, ranged between 27,2°C-28,2°C. TDS test results obtained that TDS levels of Unhas Lake Water ranged from 129 mg/l-140 mg/l and were under water quality standard for Class 1 that requires TDS level maximum 1000 mg/l. Meanwhile, TSS test results that meet class I quality standard was station 2, 3, 4, ranged between 10 mg/l-26 mg/l, while stations (points) that did not meet the quality standard for Class 1 were station 1 and 5 i. e 60 mg/l and 90 mg/l, while the maximum permissible level was 50 mg/l. Based on chemical parameters test results, quality of Unhas Lake Water did not meet the quality standard criteria for Class 1 listed in Government Regulation Number 82 Year 2001 for parameters ammonia, BOD5, COD, DO, and nitrite. Meanwhile, the chemical parameters for class 1 quality standard that meet are iron, fluoride, nitrate, and sulfate. Based on microbiological parameters test results of five sampling points showed that Fecal coliform bacteria level at stations (points) 1, 2, 3, 4, and 5 were 295 MPN/100 ml, 4352 MPN/100 ml, 17329 MPN/100 ml, 142 MPN/100 ml, and 30 MPN/100 ml, Fecal coliform bacteria with the highest number was at station (point) 3 and the lowest was at station (point) 5. The number of total coliform bacteria at stations 1, 2, 3, 4, and 5 were 24196 MPN/100 ml, > 24196 MPN/100 ml, > 24196 MPN/100 ml, 10462 MPN/100 ml, and 10462 MPN/100 ml, total coliform bacteria with the highest number were at station (point) 2 and 3 and the lowest were at station (point) 4 and 5.
The ever increasing demand for real time environmental monitoring is currently being driven by strong legislative and societal drivers. Low cost autonomous environmental monitoring systems are required to meet this demand as current monitoring solutions are insufficient. This poster presents an autonomous nutrient analyser platform for water quality monitoring. Results from a field trial of the nutrient analyser are reported along with current work to expand the range of water quality targets.
The water quality status of rivers in Malaysia has always been a cause for concern for various local authorities, government agencies, and the public. In the traditional method, the date has to be collected manually and for that reason, the workers must go to each tank or river to complete the task. The process set some drawbacks such as labor-intensive, high operational and equipment costs and lack of real-time data. In this research, the aim is to implement the Internet of Things (IoT) in monitoring and controlling the water quality. The pH and temperature sensors are integrated with NodeMCU ESP82666 to obtain the pH value and temperature data of the water. This platform is also used to control the servo motor to manage the systems. NodeMCU sends the data to the Internet via Blynk application. By using Blynk, users can monitor live data from the tank, see the data trend, and control the water quality. All the data that has been taken are saved in the Cloud database using phpMyAdmin. The connection also used NodeMCU ESP8266, where the coding is written and compiled using Arduino IDE software. This work has successfully achieved its objective where water quality data (pH and temperature) can be monitored, stored in a database, and controlled using IoT.
This paper is devoted to present the advances in the design of a prototype that is able to supervise the complex behavior of water quality parameters such as pH and temperature, via a real-time monitoring system. The current water quality tests that are performed in government water quality institutions in Mexico are carried out in problematic locations and they require taking manual samples. The water samples are then taken to the institution laboratory for examination. In order to automate this process, a water quality monitoring system based on wireless sensor networks is proposed. The system consists of a sensor node which contains one pH sensor, one temperature sensor, a microcontroller, and a ZigBee radio, and a base station composed by a ZigBee radio and a PC. The progress in this investigation shows the development of a water quality monitoring system. Due to recent events that affected water quality in Mexico, the main motivation of this study is to address water quality monitoring systems, so in the near future, a more robust, affordable, and reliable system can be deployed.
The water quality status of rivers in Malaysia has always been a cause for concern for various local authorities, government agencies, and the public. In the traditional method, the date has to be collected manually and for that reason, the workers must go to each tank or river to complete the task. The process set some drawbacks such as labor-intensive, high operational and equipment costs and lack of real-time data. In this research, the aim is to implement the Internet of Things (IoT) in monitoring and controlling the water quality. The pH and temperature sensors are integrated with NodeMCU ESP82666 to obtain the pH value and temperature data of the water. This platform is also used to control the servo motor to manage the systems. NodeMCU sends the data to the Internet via Blynk application. By using Blynk, users can monitor live data from the tank, see the data trend, and control the water quality. All the data that has been taken are saved in the Cloud database using phpMyAdmin. The connection also used NodeMCU ESP8266, where the coding is written and compiled using Arduino IDE software. This work has successfully achieved its objective where water quality data (pH and temperature) can be monitored, stored in a database, and controlled using IoT.
Nowadays, the increasing pressure over water resources is reflecting on the water quality all over the globe. Not surprisingly, local, and regional governments are taking initiatives into tackling this issue. However, the management of water resources requires coordinated management by the stakeholders, especially in cross-border regions, to achieve efficient regulations. Then, the data-sharing for monitoring the water resources is fundamental for the stakeholder participation in the process of knowledge building. This work presents the design and implementation of a collaborative web platform aiming at enhancing these processes applied to share water quality parameters maps produced under the framework of the SIMILE (Integrated monitoring system for knowledge, protection and valorisation of the subalpine lakes and their ecosystems) project. The platform takes advantage of open-source infrastructure and standards. The solution provides two web-based applications devoted to the upload/management (customized GeoNode) of the data and its visualization (WebGIS). The scope of the collaborative platform is to improve the access to information for awareness-building on the water resources in the Insubric area.
Nowadays, the increasing pressure over water resources is reflecting on the water quality all over the globe. Not surprisingly, local, and regional governments are taking initiatives into tackling this issue. However, the management of water resources requires coordinated management by the stakeholders, especially in cross-border regions, to achieve efficient regulations. Then, the data-sharing for monitoring the water resources is fundamental for the stakeholder participation in the process of knowledge building. This work presents the design and implementation of a collaborative web platform aiming at enhancing these processes applied to share water quality parameters maps produced under the framework of the SIMILE (Integrated monitoring system for knowledge, protection and valorisation of the subalpine lakes and their ecosystems) project. The platform takes advantage of open-source infrastructure and standards. The solution provides two web-based applications devoted to the upload/management (customized GeoNode) of the data and its visualization (WebGIS). The scope of the collaborative platform is to improve the access to information for awareness-building on the water resources in the Insubric area.
