The Impact of Water Quality on GDP Growth

Desbureaux, Sébastien; Damania, Richard; Rodella, Aude-Sophie; Russ, Jason; Zaveri, Esha

doi:10.1596/33071

Cited by 13 publications

(9 citation statements)

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“…Human capital contributes the highest value (81%) as more people benefit from an improved river ecosystem; the natural and produced capital have 11% and 8% IW share in 2041 (Figure 10d). The positive values observed were potentially because the water quality improves over time, reaching a standard level that facilitates resource generation and benefits society in the form of ecosystem services and leads to a sustainable river resource system [76].…”

Section: Simulation Results Of Inclusive Wealth and Inclusive Wealth Per Capitamentioning

confidence: 99%

Sustainability Assessment Model of the Buriganga River Restoration Project in Bangladesh: A System Dynamics and Inclusive Wealth Study

Kumar

Mizunoya

2022

Sustainability

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The Bangladesh government initiated the Buriganga River Restoration Project in 2010 to clean the heavily polluted Turag-Buriganga River. This study assessed the dynamic impact of the project on intergenerational well-being and developing a sustainable river system. The project outcomes were modeled for three future scenarios—varying waste control, streamflow, and migration control levels. System dynamics modeling—based on Streeter-Phelps’ water quality model and inclusive wealth (IW) index—was applied to secondary data (including remotely sensed data). The simulation model indicated that the project (with increasing streamflow up to 160 m3/s) will not ensure sustainability because dissolved oxygen (DO) is meaningfully decreasing, biological oxygen demand (BOD) is increasing, and IW is declining over time. However, sustainability can be achieved in scenario 3, an integrated strategy (streamflow: 160 m3/s, waste control: 87.78% and migration control: 6%) that will ensure DO of 8.3 mg/L, BOD of 3.1 mg/L, and IW of 57.5 billion USD in 2041, which is equivalent to 2.22% cumulative gross domestic product by 2041. This study is the first to use combined modeling to assess the dynamic impacts of a river restoration project. The findings can help policymakers to achieve sustainability and determine the optimal strategy for restoring polluted rivers.

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Section: Simulation Results Of Inclusive Wealth and Inclusive Wealth Per Capitamentioning

confidence: 99%

Sustainability Assessment Model of the Buriganga River Restoration Project in Bangladesh: A System Dynamics and Inclusive Wealth Study

Kumar

Mizunoya

2022

Sustainability

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“…The consumption of poor quality water in daily life is a major factor for the increase in diseases like Cholera, Diarrhoea, Malaria, Typhoid, and Filariasis [1]. The poor water quality also causes a GDP loss of country every year [2].…”

Section: Journal Of Informatics Electrical and Electronicsmentioning

confidence: 99%

Assessment of Water Quality using Machine Learning and Fuzzy Techniques

Kant

2023

J. Infor. Electr. Electron. Eng.

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The water quality of river Ganga is an important concern due to its drinking, domestic uses, irrigation and also for aquatic life. But the extent of pollutants in river water has deteriorated the quality of river water. So, the assessment of river water becomes very important. But due to the involved subjectivity and uncertainty in the decision making parameter makes the task very complex. In this study, machine learning and fuzzy techniques are utilized to develop the river water quality assessment models. The quality of the water is grouped into three classes. Four machine learning algorithms namely decision tree, random forest tree, k-nearest neighbor and support vector machine are used and implemented on python and anaconda platform. Whereas, three fuzzy based models (fuzzy decision tree, wang-mendel and fast prototyping) are developed using Guaje open source software. All the seven models are analyzed in terms of accuracy, precision, recall and f1-score. The observed result shows that the fuzzy decision tree-based assessment model performs more accurately as compared with the machine learning based models.

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“…A report released by the World Bank indicated a significant relationship between a reduction in economic growth, losing between 0.5 and 2.0 percent of economic growth, and polluted rivers (Desbureaux et al, 2019). The relationship between economic growth and water pollution has been explored quite extensively (Grossman and Krueger, 1995;Shen, 2006;Diao, Zeng, Tam, and Tam, 2009;Lee, Chiu, and Sun, 2010;Jayanthakumaran and Liu, 2012;Choi et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…However, few studies reported a variation in demand for domestic and non-domestic water consumption during the COVID-19 (Daijiworld, 2020;Sivakumar, 2021). A report released by the World Bank indicated a significant relationship between a reduction in economic growth, losing between 0.5 and 2.0 percent of economic growth, and polluted rivers (Desbureaux et al, 2019). However, a study conducted in Pakistan revealed that the use of technology and renewable energy may help boost economic development and reduce environmental pollution FIGURE 1 | Water quality parameters with state GDP for the respective years.…”

Section: Introductionmentioning

confidence: 99%

Variations in the Yamuna River Water Quality During the COVID-19 Lockdowns

Singh

Rana

Mittal

et al. 2022

Front. Environ. Sci.

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The COVID-19 pandemic that emerged in Wuhan city of China in December 2019 has adversely impacted the health and the economy, society, and other significant spheres of the human environment. The pandemic has severely impacted economic activities, especially the industrial production, transportation, tourism, and hoteling industries. The present study analyses the impact of varying severity of lockdowns of economic activities during various phases of the pandemic on the water quality of the Yamuna river on parameters like pH values, biological oxygen demand, chemical oxygen demand, dissolved oxygen, total suspended solids, and electrical conductivity. The study has found a significant improvement in water quality parameters with closing economic activities during lockdowns. The average levels of concentration of these parameters of water quality were quite low during the lockdown period at 7.26 (pH value), 31.32, 136.07, 7.93, 30.33 mg/L, and 1500.24 μS/cm compared to pre lockdown periods levels at 7.53 (pH), 39.62, 116.52, 6.1, 57.2 mg/L and 1743.01 μS/cm for biological oxygen demand, chemical oxygen demand, dissolved oxygen, total suspended solids, and electrical conductivity, respectively. In addition, the study has found a strong significant positive correlation between COD with BOD and TSS during the lockdown period. The major findings from the present study could be instrumental in making environmentally sustainable policies for the country’s economic development. There is also a huge scope of scaling up of the study at the national level to analyze the health of the rivers in the backdrop of lockdowns.

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The Impact of Water Quality on GDP Growth

Cited by 13 publications

References 0 publications

Sustainability Assessment Model of the Buriganga River Restoration Project in Bangladesh: A System Dynamics and Inclusive Wealth Study

Sustainability Assessment Model of the Buriganga River Restoration Project in Bangladesh: A System Dynamics and Inclusive Wealth Study

Assessment of Water Quality using Machine Learning and Fuzzy Techniques

Variations in the Yamuna River Water Quality During the COVID-19 Lockdowns

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