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Journal articles on the topic 'Water quality monitoring'

To see the other types of publications on this topic, follow the link: Water quality monitoring.

Author: Grafiati

Published: 4 June 2021

Last updated: 1 June 2024

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1

Umamaheswari, T., Dr M. Newlin Rajkumar, and R. Tharani S.Rajalakshmi. "Water Quality Measuring and Monitoring: A Survey." International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (December 31, 2017): 27–30. http://dx.doi.org/10.31142/ijtsrd5833.

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2

Gonsor, Oksana. "SMART SYSTEM FOR MONITORING WATER QUALITY PARAMETERS." Measuring Equipment and Metrology 83, no. 4 (2022): 18–23. http://dx.doi.org/10.23939/istcmtm2022.04.018.

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Water is the most crucial factor for all living organisms, so it is essential to protect it. And water quality monitoring is one of the first steps required in the rational development and management of water resources. Smart systems used for real-time quality control and power consumption are rapidly developing. Their implementation in water quality assurance systems is essential and actual. The three-level smart system presented in this article involves the processing of water samples testing results from water supply sources, from the distribution network (consumers), test results of testing laboratories, and data from water consumption accounting systems. Transmission of the obtained results to consumers applying wireless communication technologies is an important system feature.

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3

Tazoe, Hirofumi. "Water quality monitoring." Analytical Sciences 39, no. 1 (January 2023): 1–3. http://dx.doi.org/10.1007/s44211-022-00215-2.

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4

Knežević, Nemanja, and Srboljub Nikolić. "Water quality monitoring after floods." Odrzivi razvoj 3, no. 1 (2021): 47–61. http://dx.doi.org/10.5937/odrraz2101047k.

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Safe drinking water is one of the most important conditions for a healthy life. However, in case of disasters and emergencies, the water is often contaminated with various impurities of physical, chemical and/or biological origin. These contaminations can lead to a number of health problems, including various infectious diseases. For that reason, it is important to act preventively, and to perform appropriate treatment and water purification in a timely and urgent manner, depending on the type of pollution. In order to determine the type of pollution and perform the appropriate water treatment, the precondition is arranging certain chemical analyzes and monitoring of water quality through quality parameters. Since our time and economic resources are limited in the first moments of the accident, it is not possible to monitor all the parameters, so we monitor the most important: pH value, amount of residual chlorine, color, turbidity and the presence of pathogens. However, even when the type of pollution is determined, it is sometimes not possible to do centralized water purification immediately. Therefore, it is important to know the methods that can independently, and with the help of some handy tools, be applied in our household (eg. disinfection by boiling water or using some of the chemicals for disinfection; sedimentation, etc.). Using these methods, at least a physiological minimum can be provided for family members in the first moments after the accident, until a centralized purification is performed.

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5

Moldobaeva, Munara. "Water Quality Monitoring by Implementing ZigBee Network Wireless Sensors." International Journal of Psychosocial Rehabilitation 23, no. 4 (December 20, 2019): 1403–13. http://dx.doi.org/10.37200/ijpr/v23i4/pr190465.

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6

Bhagat, Priya S., Dr Vijay S. Gulhane, and Prof Tanuj S. Rohankar. "Implementation of Internet of Things for Water Quality Monitoring." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 306–11. http://dx.doi.org/10.31142/ijtsrd23655.

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7

Jaffé, Peter R. "River water quality monitoring." Advances in Water Resources 10, no. 2 (June 1987): 109. http://dx.doi.org/10.1016/0309-1708(87)90014-5.

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8

STEELE, TIMOTHY D. "Water quality monitoring strategies." Hydrological Sciences Journal 32, no. 2 (June 1987): 207–13. http://dx.doi.org/10.1080/02626668709491178.

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9

Belgiorno, V., and R. M. A. Napoli. "Groundwater quality monitoring." Water Science and Technology 42, no. 1-2 (July 1, 2000): 37–41. http://dx.doi.org/10.2166/wst.2000.0288.

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The paper describes results of monitoring activities of groundwater in a rural area carried out to verify the impact on water quality in an uncontaminated area resulting from the initiation of an atmospheric pollution source. Significant emissions of nitrogen oxides from the pollution source resulted in particular attention to verifying the increase of nitrate concentrations in monitored water. Over 10,000 analytical tests including several chemical parameters were conducted in the full monitoring period. In the paper, a first reading of data, graphical trends and non-parametric statistical analysis are presented. Measured values for nitrates, nitrites, hardness, alkalinity and pH showed poor variability during the entire period. Checked parameters were in the usual ranges of uncontaminated rural areas and comparisons between meaningful values of the periods ante operam and post operam do not show any degradation of water quality following the atmospheric pollution source activity. Nitrites are occasionally found in some spring water due to organic pollution, confirmed by the randomness with which their presence was detected.

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10

Aswin Kumer, S. V., P. Kanakaraja, V. Mounika, D. Abhishek, and B. Praneeth Reddy. "Environment water quality monitoring system." Materials Today: Proceedings 46 (2021): 4137–41. http://dx.doi.org/10.1016/j.matpr.2021.02.674.

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11

Chirila, Elisabeta, Simona Dobrinas, Ionela Carazeanu, and Camelia Draghici. "TABACARIE LAKE WATER QUALITY MONITORING." Environmental Engineering and Management Journal 4, no. 2 (2005): 169–76. http://dx.doi.org/10.30638/eemj.2005.016.

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12

Howard, Guy. "Water-quality monitoring and NGOs." Waterlines 16, no. 1 (July 1997): 19–22. http://dx.doi.org/10.3362/0262-8104.1997.032.

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13

Bratic, G., D. Carrion, M. Cannata, M. Rogora, D. Strigaro, and M. A. Brovelli. "LAKE WATER QUALITY MONITORING TOOLS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2022 (June 2, 2022): 599–606. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2022-599-2022.

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Abstract. Lakes as ecosystems provide many goods and services. To benefit from them in long term we must assure sustainable management. SIMILE (informative System for the Integrated Monitoring of Insubric Lakes and their Ecosystems) project is focused on developing efficient monitoring of lake water quality since it gives the critical input for adequate management. The lakes of interest for SIMILE are the Insubric lakes Como, Lugano, and Maggiore. The paper is focused on describing which tools are used in the SIMILE project to exploit different sources of lake water quality data: in-situ high-frequency monitoring (HFM) through sensors, satellite observations, and data collected by citizens. Even though the paper is focused on the SIMILE project, and thus on tools and procedures for the Insubric lakes, it can serve as an example for other lakes too, especially because the tools developed in the project, such as a collaborative platform for sharing satellite-derived water quality parameters, and mobile application and web administrator interface for citizen science, are free and open-source, they can be easily adapted if needed. Moreover, the procedures for the processing of data coming from different sources are based on free (and often also open source) software and are well documented. The tools and procedures described in this paper might be a foundation for similar practice for lakes worldwide, and thus a step forward the 6th Sustainable Development Goal (SDG) of the United Nations (“Ensure availability and sustainable management of water and sanitation for all”).

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14

Sung, Wen-Tsai, Fathria Nurul Fadillah, and Sung-Jung Hsiao. "IoT-based Water Quality Monitoring." Sensors and Materials 33, no. 8 (August 31, 2021): 2971. http://dx.doi.org/10.18494/sam.2021.3342.

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15

Somiya, Isao, and Hiroshi Tsuno. "Consideration on water quality monitoring." Japan journal of water pollution research 10, no. 5 (1987): 287–90. http://dx.doi.org/10.2965/jswe1978.10.287.

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16

Vikesland, Peter J. "Nanosensors for water quality monitoring." Nature Nanotechnology 13, no. 8 (August 2018): 651–60. http://dx.doi.org/10.1038/s41565-018-0209-9.

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17

Ward, Robert C., Jim C. Loftis, and Robert C. Averett. "Monitoring systems for water quality." Critical Reviews in Environmental Control 19, no. 2 (January 1989): 101–18. http://dx.doi.org/10.1080/10643388909388361.

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18

Anonymous. "Water-quality monitoring report released." Eos, Transactions American Geophysical Union 74, no. 12 (March 23, 1993): 131. http://dx.doi.org/10.1029/93eo00363.

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19

Parr, J., and J. Rogers. "Water-Quality Monitoring in Anguilla." Water and Environment Journal 16, no. 2 (May 2002): 96–99. http://dx.doi.org/10.1111/j.1747-6593.2002.tb00377.x.

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20

Fang, Xing, Jiangyong Hu, and Suresh Sharma. "Water Quality Modeling and Monitoring." Water 15, no. 18 (September 9, 2023): 3216. http://dx.doi.org/10.3390/w15183216.

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21

Gleiser, Marcelo, and Sérgio Moro. "Implementation of an IoT-Based Water Quality Monitoring System for Aquaculture." International Journal of Research Publication and Reviews 4, no. 5 (May 4, 2023): 1449–52. http://dx.doi.org/10.55248/gengpi.234.5.38043.

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22

Z.G., Gold. "Krasnoyarsk Water Reservoir: Monitoring, Biota, Water Quality(review)." Journal of Siberian Federal University. Biology 1, no. 2 (June 2008): 178–86. http://dx.doi.org/10.17516/1997-1389-0276.

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23

Sakran, Thabet, Pessant Matooq, Gamal Shahawy, Maisa Shalaby, Hoda Sabry, and Mahmoud Gad. "Monitoring Water Quality Parameters in Egyptian Tap Water." Polish Journal of Environmental Studies 28, no. 4 (April 9, 2019): 2815–21. http://dx.doi.org/10.15244/pjoes/92820.

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24

Naubi, Irena, Noorul Hassan Zardari, Sharif Shirazi, Farahen Ibrahim, and Lavania Baloo. "Effectiveness of Water Quality Index for Monitoring Malaysian River Water Quality." Polish Journal of Environmental Studies 25, no. 1 (2016): 231–39. http://dx.doi.org/10.15244/pjoes/60109.

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25

Pokhrel, Suruchi, Anisha Pant, Ritisha Gautam, and Dinesh Baniya Kshatri. "Water Quality Monitoring System Using IOT." Journal of Innovations in Engineering Education 3, no. 1 (March 31, 2020): 155–64. http://dx.doi.org/10.3126/jiee.v3i1.34337.

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Water pollution is one of the growing issues in a developing country like Nepal. In the present scenario, we are usually thoughtlessly trusting the drinking water suppliers with our health. Even though the water is purified as well as checked in the central distribution systems, the supplier, along with the general public is unaware of the water quality that reaches the end-users. By focusing on these above issues, we propose a low-cost monitoring system that can monitor water quality such as pH (potential of Hydrogen) and conductivity on a timely basis using the Internet of Things. The water quality monitoring sensors sense the necessary physical parameters and convert them into equivalent electrical form, i.e. by providing certain voltage as an output corresponding to the respective physical quantity. This value is mapped to the respective water quality measure and is stored in a database through the microcontroller using the Internet of Things. This aids the suppliers to centralize the regular monitoring of water from various locations as well as the supply pure water to the end-users.

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26

Silva, Elson Miranda, Monica Ferreira da Costa, and Mário Barletta. "Small-scale water quality monitoring networks." Journal of Coastal Research 165 (January 3, 2013): 1218–23. http://dx.doi.org/10.2112/si65-206.1.

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27

Pachepsky, Y. A., A. Allende, L. Boithias, K. Cho, R. Jamieson, N. Hofstra, and M. Molina. "Microbial Water Quality: Monitoring and Modeling." Journal of Environmental Quality 47, no. 5 (September 2018): 931–38. http://dx.doi.org/10.2134/jeq2018.07.0277.

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28

Pillay, Mukundan Sugunan, Mustafa Selim, and Debbie Siru. "Drinking-water quality monitoring and surveillance." Waterlines 13, no. 2 (October 1994): 8–10. http://dx.doi.org/10.3362/0262-8104.1994.037.

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29

Roman, Liliana. "Water Quality Monitoring in Valea Jiului." Mining Revue 28, no. 1 (March 1, 2022): 50–65. http://dx.doi.org/10.2478/minrv-2022-0005.

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Abstract The paper presents the monitoring of the water quality in Valea Jiului, related to the Jiu river basin. In the increasingly alert conditions of urbanization and industrialization, contemporary civilization is characterized by a worrying process of deteriorating the ecological balance and pollution of water resources. Monitoring allows the achievement of four primary objectives in knowing the state of water quality, namely: monitoring, forecasting, warning and intervention. The paper presents the objectives of water quality monitoring, aspects related to the implementation of water monitoring programs.

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30

Barry, Fiona, Lorraine Nagle, Ian Seymour, Benjamin O'Sullivan, Alan O'Riordan, and James Rohan. "Microelectrocehmical Sensors for Water Quality Monitoring." ECS Meeting Abstracts MA2021-02, no. 57 (October 19, 2021): 1938. http://dx.doi.org/10.1149/ma2021-02571938mtgabs.

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31

Hassan, Moez ul, Sanjay Kumar, Hitesh Kumar, Kabir Kumar, Sarmad Hameed, and Kiran Fatima. "Real Time Water Quality Monitoring Boat." Proceedings 2, no. 20 (October 17, 2018): 1279. http://dx.doi.org/10.3390/proceedings2201279.

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In today’s third world countries such as Pakistan, there is an ever increasing strain regarding the provision of clean, consumable water. This problem especially arises in rural areas due to the ineffectiveness of the governments and the increasing population in the country. Therefore, this particular project aims to detect and display real-time physiochemical quality of the water in a much more cost effective manner, as opposed to the current methods which involves sampling and laboratory methods, through its wireless, multi-sensor network. It takes into consideration multiple factors and presents this real-time quality through the display of its electrical conductivity, pH, total dissolved solids TDS, turbidity, as well as temperature of water that is being tested. Additionally, this remote control system is specially designed for lakes, reservoir, rivers etc. where we cannot monitor water quality in such complicated scale water environment by just using a stationary system because water parameter vary at every single location. To avoid this, we manufactured a boat which can float and move on the water simply by user controller. This structure is designed as a hull shape which minimize the resistivity of water flow and this shape also maintained the stability of water. This water quality monitoring boat includes an embedded global positioning system GPS which gives the location of the point wherever water quality is varying and radio frequency module for wireless communication. All the results is generated and displayed with their readings and their graphical analogue meters through the graphical user interface GUI technique, along with water’s impurities limitation points and its hazardous level notification. It is proven through various tests conducted in reservoirs, lakes and personal water storage tanks that this project is successfully capable of demonstrating these physiochemical parameters as well as display these readings effectively.

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32

Shruti Danve, Mithila Barabde,. "Real Time Water Quality Monitoring System." International Journal of Innovative Research in Computer and Communication Engineering 03, no. 06 (June 30, 2015): 5064–69. http://dx.doi.org/10.15680/ijircce.2015.0306016.

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33

Hmielowski, Tracy. "Microbial Water Quality Monitoring and Modeling." CSA News 63, no. 9 (September 2018): 4–5. http://dx.doi.org/10.2134/csa2018.63.0901.

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34

Farris, Jane Marshall. "National Water Quality Monitoring Strategy Update." Groundwater Monitoring & Remediation 14, no. 4 (November 1994): 113. http://dx.doi.org/10.1111/j.1745-6592.1994.tb00486.x.

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35

Cohen, Stuart. "Water Quality Monitoring at Golf Courses." Groundwater Monitoring & Remediation 18, no. 2 (May 1998): 58–59. http://dx.doi.org/10.1111/j.1745-6592.1998.tb00614.x.

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36

Wang, Ning, Ting Dai, and Lei Lei. "Optofluidic Technology for Water Quality Monitoring." Micromachines 9, no. 4 (April 1, 2018): 158. http://dx.doi.org/10.3390/mi9040158.

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37

Nakamura, Eiichi. "Water Quality Monitoring in Sewerage Systems." Japan journal of water pollution research 13, no. 10 (1990): 610–14. http://dx.doi.org/10.2965/jswe1978.13.610.

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38

Zulkhairi, M. S. Mohd, M. F. Muhammad Farid, K. Siti Farahin, Muhammad Bazli Faliq Mohd Puaad, and S. N. Mohammad. "Water Quality Monitoring in Urban Area." Advanced Science Letters 24, no. 6 (June 1, 2018): 4206–8. http://dx.doi.org/10.1166/asl.2018.11572.

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39

Jones, Rachael M., Judith M. Graber, Robert Anderson, Karl Rockne, Mary Turyk, and Leslie T. Stayner. "Community Drinking Water Quality Monitoring Data." Journal of Public Health Management and Practice 20, no. 2 (2014): 210–19. http://dx.doi.org/10.1097/phh.0b013e3182980ca2.

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40

Karydis, Michael, and Dimitra Kitsiou. "Marine water quality monitoring: A review." Marine Pollution Bulletin 77, no. 1-2 (December 2013): 23–36. http://dx.doi.org/10.1016/j.marpolbul.2013.09.012.

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41

Whitfield, Paul H., and Norman L. Wade. "MONITORING TRANSIENT WATER QUALITY EVENTS ELECTRONICALLY." Journal of the American Water Resources Association 28, no. 4 (August 1992): 703–11. http://dx.doi.org/10.1111/j.1752-1688.1992.tb01492.x.

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42

Ward, Robert C. "WATER QUALITY MONITORING: WHERE'S THE BEEF?" Journal of the American Water Resources Association 32, no. 4 (August 1996): 673–80. http://dx.doi.org/10.1111/j.1752-1688.1996.tb03465.x.

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43

Ting, Josephine Ong Ning, and S. K. Yee. "Review on water quality monitoring technologies." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 3 (June 1, 2020): 1416. http://dx.doi.org/10.11591/ijeecs.v18.i3.pp1416-1423.

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<span>Water quality monitoring is always the prior element to ensure the drinking water is safe to be consumed. A lot of researches have been carried out over the past decades to design and develop a robust and cost-effective water monitoring system. The conventional water monitoring techniques were based on laboratory instruments which is time-consuming and laborious. Furthermore, it is not suitable when the water sampling point is far from the commercial laboratory centres. These limitations were then been solved by the developments of portable testing kits and microwave technique. The microwave techniques such as spectroscopy techniques and microwave sensor approach have improved the water quality monitoring experience which is convenient without sacrificing the measurement accuracy and sensitivity. Its portability enables the on-site measurement at rural areas and thus reduce the transportation and manpower cost. This paper intends to review the water contaminant detection techniques which include standardized drinking water parameter testing and microwave-based in terms of physical, chemical and microbiological parameters. Furthermore, this review also emphasizes the current trend of the water quality testing method in microwave technique. At the end of this paper, a significant advantages and drawbacks of the techniques are summarized, and recommendations are provided for future development in the water quality monitoring.</span>

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44

Palmer, Richard N., and Mary C. MacKenzie. "Optimization of Water Quality Monitoring Networks." Journal of Water Resources Planning and Management 111, no. 4 (September 1985): 478–93. http://dx.doi.org/10.1061/(asce)0733-9496(1985)111:4(478).

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45

Briggs, Ronald. "Recent developments in monitoring water quality." Journal of Environmental Conservation Engineering 19, no. 3 (1990): 153–55. http://dx.doi.org/10.5956/jriet.19.153.

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46

K, Sasinath, Abigeshwar F, Abdhul Kalaam M, and Ramkumar R. "STM32 BASED WATER QUALITY MONITORING SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 10 (October 1, 2023): 1–11. http://dx.doi.org/10.55041/ijsrem26015.

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Water is a precious and essential resource for all life on Earth. Ensuring the quality of water is vital for human health, environmental sustainability, and various industrial applications. This project introduces a novel STM32-based Water Quality Monitoring System designed to address the need for continuous and real-time monitoring of water parameters in various settings like pH and electrical conductivity sensors. The STM32-based Water Quality Monitoring System offers several advantages, including early detection of water pollution, enabling prompt action to mitigate environmental damage and health risks. It provides historical data for trend analysis, aiding in the identification of long-term water quality patterns and trends. Additionally, it reduces the need for manual sampling and laboratory testing, thus lowering operational costs for water treatment facilities. Furthermore, the system is highly adaptable and can be integrated into a variety of water management scenarios, including municipal water supplies, industrial processes, aquaculture, and environmental monitoring. It promotes sustainable water resource management by ensuring that water quality remains within safe and regulated standards In summary, this project presents an innovative STM32-Based Water Quality Monitoring System that leverages advanced microcontroller technology to address the critical issue of water quality monitoring. Key Words: water quality, stm32, pH sensor, conductivity sensor, aquaculture

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47

N, Dhanalakshmi, Jayabebin Mary A, Santhosh Kumar K, Suriya S V, and Devaki P. "IoT Based Water Quality Monitoring System." IRO Journal on Sustainable Wireless Systems 5, no. 1 (March 2023): 30–39. http://dx.doi.org/10.36548/jsws.2023.1.003.

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Water pollution is the biggest problem nowadays. It is increasing as new technology evolves and human population increases. Evolving technologies makes human life easy. But they have huge impact on the environment, and one of the main problems is water pollution, which causes various diseases and other issues in living beings. So, it has to be monitored continuously and reduced as much as possible to ensure the provision of clean drinking water. This research presents the solution to monitor the water quality parameters like water conductivity, turbidity, pH continuously and send these values to the LCD and nearby devices using Wi-Fi module. Moreover, this system is designed to measure the quantity of water being monitored using water flow sensor. Water quality parameters are measured by different sensors such as pH, TDS, and Turbidity, which are connected to microcontroller (Arduino Uno). The proposed system uses GSM module to send the message to the officials during abnormal conditions. Hardware results of the proposed system are also provided in this work.

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48

Kumar, Amit, Santosh Subhash Palmate, and Rituraj Shukla. "Water Quality Modelling, Monitoring, and Mitigation." Applied Sciences 12, no. 22 (November 10, 2022): 11403. http://dx.doi.org/10.3390/app122211403.

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In the modern era, water quality indices and models have received attention from environmentalists, policymakers, governments, stakeholders, water resource planners, and managers for their ability to evaluate the water quality of freshwater bodies. Due to their wide applicability, models are generally developed based on site-specific guidelines and are not generic; therefore, predicted/calculated values are reported to be highly uncertain. Thus, model and/or index formulation are still challenging and represent a current research hotspot in the scientific community. The inspiration for this Special Issue came from our desire to provide a platform for sharing results and informing young minds around the world to develop suitable models to understand water quality so that mitigation measures can be taken in advance to make water fit for drinking and for life-supporting activities.

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49

Ranjith, Joshua, and Haritha Rajeev. "Aqua Check-Water Quality Monitoring System." Indian Journal of Image Processing and Recognition 3, no. 3 (April 30, 2023): 1–5. http://dx.doi.org/10.54105/ijipr.b3910.043323.

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Water is essential in our life. Water has been proven to be essential for the smooth functioning of tissues, cells and organs in the human body.Water maintains body temperature, helps body to absorb nutrients, helps in moistening oxygen for breathing. Without water human body cannot function properly.Water is one of the most abundant resources on the planet, it’s been estimated that over 71% of Earth is filled with water. Amongst the 71% only 1.2% is said to be drinkable or clean enough to consume. For human, we can survive without food, but without water it is not possible. Most of our metabolic activities depends on consumption of water. Drinking clean water is really important for us in order to maintain a healthy lifestyle. Apart from drinking, water can be used for carrying several domestic chores like washing, cooking, cleaning etc.Water contamination affects us in a much larger way than we anticipate. It’s very important to check the quality of the water so that our health is not compromised. Water Quality can be measured by various parameters, including Temperature, Turbidity. So, we have proposed a way to test the water quality in the lively environment. The proposed system is a cost-efficient system and can be used anywhere. This helps in understanding the quality of the drinking water that we consume, and also to check if there is any contamination in the water.

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50

Jia, Junle, Chun Luo, Zhengyi Hou, Qiqi Xia, Xuanhang Ma, Xiang Pan, Awen Ma, and Yuru Zheng. "Fisheries Water Quality Monitoring Improvement System." Journal of Physics: Conference Series 2632, no. 1 (November 1, 2023): 012016. http://dx.doi.org/10.1088/1742-6596/2632/1/012016.

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Abstract In this paper, the system of dynamic identification and monitoring of water bodies and intelligent allocation of pharmaceutical discharge is designed. At present, aquaculture technology in our country is relatively traditional, and the water environment-bearing capacity will often be ignored. This paper aims to realize the efficiency of equipment in the multiple stages of aquaculture through the design system, the remote control of motion software device, and strive to combine intelligent equipment and the basic process of aquaculture, so as to make the aquaculture industry gradually upgrade. Through the test, our device can dynamically identify and detect the water body, and ensure the fishery output and water quality at the same time, bringing economic and environmental benefits to a great extent.

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