2008–2017 Bogota River Water Quality Assessment based on the Water Quality Index

Assessing water quality in the Dong Nai River (Vietnam): implications for sustainable management and pollution control

Dong Nai River provides essential water resources for millions of people across 11 provinces and cities in Vietnam. However, the different pollution sources such as household, farming, and industrial operations have caused the river water quality to deteriorate over the past decade. To gain a comprehensive understanding of the river's surface water quality, this study employed the water quality index (WQI) across 12 different sampling sites. In total,144 water samples with 11 parameters were analyzed in accordance with the Vietnamese standard 08:2015/MONRE. Results revealed a range of surface water quality, from poor to good according to the VN-WQI (Vietnamese standard), and a medium even bad level in some months according to the NS-WQI (American standard). The study also identified temperature, coliform, and dissolved oxygen (DO) as strong contributors to WQI values (VN_WQI standard). Principal component analysis/factor analysis was used to determine pollution sources, with the results highlighting agricultural and domestic activities as the main contributors to river pollution. In conclusion, this study underscores the importance of effective planning and management of infrastructure zoning and local activities to improve the river's surface water quality and surrounding areas, as well as safeguard the well-being of the millions who depend on it.

PortAqua: a low-cost, compact water quality meter for science communication

Water quality monitoring allows communities to achieve sustainable management of water resources, which is crucial for life-supporting processes. Water quality is determined by measuring chemical, physical, and biological parameters, requiring sophisticated meters and trained specialists to perform the measurement. However, in low-income communities, water quality is determined by using human senses-smell, color, and taste-since meter acquisition is limited by costs and most people do not know how to monitor water quality. Therefore, accessible technology is necessary to empower communities to have a sustainable lifestyle. In this paper, we present the design and implementation of PortAqua, a 2-parameter water quality meter (WQM), to promote training on water quality measurement. Using basic electronic components, PortAqua is capable of measuring pH with an error of 0.4, and conductivity with an error of 33% at 85 µS cm^-1, and 8.7% at 1413 µS cm^-1. To demonstrate its preliminary effectiveness as a WQM and its science communication capabilities, the meter has been used in a hands-on workshop with undergraduate and graduate students. During the workshop, attendees participated in a short lecture about water quality measurement techniques and local regulations. Then, they collected water samples from a local source, measured the samples using PortAqua, and discussed the results based on the concepts and regulations. The workshop's effectiveness was evaluated through pre- and post-assessments which revealed increased knowledge of water quality regulations, measurement, and parameters at the end of the activity.

Development of a Sustainable Collaborative Management Strategy for Green Supply Chains in E-Business

The interaction between economic entities and environmental impacts in developing countries has been a source of concern. It uses a unique conceptual framework to create a system for collaboration between foreign and domestic e-businesses to improve the environment. A study is given by the Collaborative Management Strategy (CMS) ideas for innovation systems, industrialization of development, and product concept. It aims to collaborate between foreign and domestic e-businesses, government, consumers, and suppliers. As a result of its importance to economic stability and human well-being, achieving sustainable development goals (SDG) has become one of the most important goals in the global economy. The green supply chain management is digitized and automated with a deep learning algorithm. The business industry is a significant focus for SDG implementation. Considering this, the value of small and medium-sized e-businesses has been discussed from this perspective.

Evaluation of sampling frequency impact on the accuracy of water quality status as determined considering different water quality monitoring objectives

Water quality sampling is a key element in tracking water quality monitoring objectives. However, frequencies adapted by different agencies might not be sufficient to provide an accurate indication of water quality status. In this study, data from low- and high-resolution water quality datasets were analyzed to determine the extent to which monitoring objectives could be achieved with different sampling frequencies, with a view to providing recommendations and best practices for water quality monitoring frequency in places with limited resources with which to implement a high-frequency monitoring plan. Water quality data from two watersheds (Maumee River and Raisin River) located in the Western Lake Erie Basin (WLEB) were used since these watersheds have consistent records over substantial periods of time, and the water quality data available have a high resolution (at least daily). The water quality constituents analyzed included suspended solids (SS), total phosphorus (TP), soluble reactive phosphorus (SRP), and nitrate + nitrite (NO₂₊₃). Sources of pollutants for watersheds located in the WLEB include contributions from point sources like discharges from sewage treatment plants and non-point sources such as agricultural and urban storm runoff. Weekly, bi-weekly, monthly, and seasonal datasets were created from the original datasets, following different sampling rules based on the day of the week, week of the month, and month of the year. The resulting datasets were then compared to the original dataset to determine how the sampling frequency would affect the results obtained in a water quality assessment when different monitoring objectives are considered. Results indicated that constituents easily transported by water (such as sediments and nutrients) require more than 50 samples/year to provide a small error (< 10%) with a confidence interval of 95%. Monthly and seasonal sampling were found appropriate to report a stream's prevailing water quality status and statistical properties. However, these resolutions might not be sufficient to capture long-term trends, in which case bi-weekly samples would be preferable. Limitations of low-resolution sampling frequency could be overcome by including rainfall events and random sampling during specific time windows as part of the monitoring plan.

Status and changes of water quality in typical near-city zones of three East African Great Lakes in Tanzania

Tanzania is the only country bordering all three transboundary East African Great Lakes, i.e., Lake Victoria, Lake Tanganyika, and Lake Nyasa (Lake Malawi). This study investigated the spatiotemporal variability of basic physicochemical parameters of nearshore surface waters in Mwanza Gulf (Lake Victoria), Kigoma Bay (Lake Tanganyika), and Wissmann Bay (Lake Nyasa). Water quality was evaluated using the water quality index (WQI) method. Results showed that N and P nutrient pollution was relatively severe in central and southern parts of Mwanza Gulf owing to external agricultural emissions and internal release associated with physically disturbed sediment resuspension. External inputs from inflowing surface runoffs from the city of Mwanza typically enhanced N loading in northern parts of the gulf during the rainy season. Poor water quality was found in central and southern parts of Mwanza Gulf, especially in the rainy season. Algal blooms and NH₄⁺-N (total P and total N) were the main factors driving water quality degradation in the rainy (dry) season. Kigoma Bay and Wissmann Bay both had good water quality, except in river mouth areas in Lake Nyasa during the rainy season. The degradation in water quality was caused primarily by increased land-based nutrient and turbidity inputs. To respond to challenges associated with climate change and local socioeconomic development, long-term monitoring of the lacustrine environment and systematic limnological studies will be required, not only in the three bays but also more widely throughout the three lakes and their basins.

Distributed treatment of rural environmental wastewater by artificial ecological geographic information system

County rural sewage geographic information system, is the use of geographic information technology and computer graphics, digital storage and management of sewage treatment facilities, the sewage treatment plant equipment management, water purification and sewage network and its surrounding corresponding facilities location information and physical attributes of the two combined, according to the needs of users, the sewage treatment process required data in the form of graphics and text to show to According to the user's needs, the data required in the process of sewage treatment is displayed to the user in a graphic way, so as to meet the needs of government departments for comprehensive control of the operation and maintenance management of sewage treatment facilities. Solve the problem of slow update of basic data in sewage treatment projects and ambiguous presentation of water quality monitoring data caused by paper records. The system uses Web-GIS technology, combined with NET development platform, using MVC model design and implementation. The front-end Bootstrap framework for interface optimization display, the back-end ORM framework to provide persistence classes and database tables between the mapping relationship, convenient to complete the migration of the database. The system function design uses the visualization and analysis function of GIS to manage the wastewater treatment facilities and the wastewater purification process for real-time operation and maintenance supervision, and uses the three-dimensional engine to visualize and display the study of the wastewater pipe network on the Web side. Mainly divided into the following modules: water quality parameters supervision module, mainly real-time monitoring of the sewage treatment process, the parameters are in line with the sewage purification indicators, to play a monitoring and early warning role; equipment operation and maintenance module, mainly for the sewage treatment facilities for fault detection and maintenance of property information; statistical analysis module, the water quality information of different sewage treatment plants for horizontal and vertical comparison and analysis, to improve the sewage treatment The statistical analysis module, which provides data for improving the sewage treatment process; and the 3D pipe network visualization module, which uses virtual reality technology to visualize the sewage pipe network on the Web side to make up for the lack of information on the pipe network in the third dimension.

Improved water resource management framework for water sustainability and security

The water resource is an essential field of economic growth, social progress, and environmental integrity. A novel solution is offered to meet water needs, distribution, and IoT-based quality management requirements. With technological growth, this paper presents an IoT-enabled Water Resource Management and Distribution Monitoring System (IWRM-DMS) using sensors, gauge meters, flow meters, ultrasonic sensors, motors to implement in rural cities. Thus, research proposes that the IWRM-DMS establish the rural demand for water and the water supply system to minimize water demand. The system proposed includes different sensors, such as the water flow sensor, the pH sensor, the water pressure valve, the flow meters, and ultrasound sensors. This water system has been developed, which addresses the demand for domestic water in the village. Machine Intelligence has been designed for demand prediction in the decision support system. The simulation results confirm the applicability of the proposed framework in real-time environments. The proposed IWRM-DMS has been proposed to analyse the water quality to ensure water distribution in a rural area to achieve less MAPE (21.41%) and RMSE(15.12%), improve efficiency (96.93%), Reliability (98.24%), enhance prediction (95.29%)), the overall performance (97.34%), moisture content ratio (7.4%), cost-effectiveness ratio (95.7%) when compared to other popular methods.

Regional differences and the contributory factors based on tourism economy in river delta of yangtze of China using fuzzy analytic hierarchy process

China’s tourism industry has made remarkable achievements since reframing and beginning, but the imbalanced expansion of regional tourism has become increasingly severe. This paper involves the analysis of combining index analysis and factor analysis and employs SPSS software to make a quantitative analysis on the differences and the contributory factors of the tourism economy in Yangtze River Delta in China from 2006 to 2016. The results have demonstrated that there exists an imbalance in the development of tourism economy in the Yangtze River Delta, and that there is a significant spatial difference with a yearly trend of decrease. Besides, a major gap lies among the comprehensive development level of tourism economy of the cities in the Yangtze River Delta. In this paper, Fuzzy analytic hierarchy process is used for making decision based analysis process for tourism economy. The comprehensive development level of tourism economy in Shanghai, Suzhou and Nanjing is much higher than that in other cities. Tourism resources endowment, tourism reception facilities and the development level of regional economy are important contributory factors of the regional differences of economy based on tourism in river delta of Yangtze, and there exists an extremely obvious positive correlation.