Watering Down Environmental Regulation in China*

2020 ◽  
Vol 135 (4) ◽  
pp. 2135-2185 ◽  
Author(s):  
Guojun He ◽  
Shaoda Wang ◽  
Bing Zhang

Abstract This article estimates the effect of environmental regulation on firm productivity using a spatial regression discontinuity design implicit in China's water quality monitoring system. Because water quality readings are important for political evaluations and the monitoring stations only capture emissions from their upstream regions, local government officials are incentivized to enforce tighter environmental standards on firms immediately upstream of a monitoring station, rather than those immediately downstream. Exploiting this discontinuity in regulation stringency with novel firm-level geocoded emission and production data sets, we find that immediate upstream polluters face a more than 24% reduction in total factor productivity (TFP), and a more than 57% reduction in chemical oxygen demand emissions, as compared with their immediate downstream counterparts. We find that the discontinuity in TFP does not exist in nonpolluting industries, only emerged after the government explicitly linked political promotion to water quality readings, and was predominantly driven by prefectural cities with career-driven leaders. Linking the TFP estimate with the emission estimate, a back-of-the-envelope calculation indicates that China's water regulation efforts between 2000 and 2007 were associated with an economic cost of more than 800 billion Chinese yuan.

2020 ◽  
Vol 8 (2) ◽  
pp. 84-88
Author(s):  
Herryawan Pujiharsono ◽  
Danny Kurnianto

The government has launched a program to increase the production of catfish by using biofloc ponds. The biofloc ponds can maintain the quality of water biologically to maximize the growth of fish. However, the level of water quality monitoring is generally only divided into good or bad categories so that it cannot represent the condition of fish growth. Therefore, this study aims to get the level of water quality (0–100 %) using the Mamdani fuzzy inference system (FIS) algorithm based on pH, temperature, and dissolved oxygen (DO). The level of water quality was correlated based on catfish growth conditions. The results showed that the range of values of the water quality level for each condition of catfish growth was 100 % for normal-living fish, 83–99 % for stunted fish growth, and < 83% for threatened fish. The FIS algorithm had 89.92 % of accuracy.


Author(s):  
L. O. Bobor ◽  
C. M. Umeh

The indiscriminate disposal of industrial effluents and solid wastes in surface water bodies is detrimental to humans and aquatic organisms. Water quality monitoring is critical to identify pollutants of concern and develop effective management strategies. Hence, this study was conducted to assess the impact of waste disposal on the water quality of Aba Waterside River, Ogbor hill, Aba. Grab samples were collected upstream, midstream and downstream and some physicochemical and microbiological parameters were analyzed in accordance with standard methods for the analysis of water and wastewater. The results were compared with the Nigerian standard for drinking water quality and the national environmental effluent limitation regulations. Turbidity levels (10 -31mg/l) exceeded the maximum permissible levels for drinking water (5mg/l) and may be associated with higher levels of embedded disease-causing microbes and potentially harmful organic and inorganic substances. The biological oxygen demand midstream (1960mg/l) was remarkably high due to the effluent discharged from the abattoirs at that point. Fecal coliforms (3-198MPN/100ml) were detected in all samples, indicating the presence of other potentially harmful microorganisms. The findings of this study indicate that the water is unsuitable for direct drinking water purposes and stringent water quality control measures should be implemented.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Mochamad A. Pratama ◽  
Yan D. Immanuel ◽  
Dwinanti R. Marthanty

The efficacy of a water quality management strategy highly depends on the analysis of water quality data, which must be intensively analyzed from both spatial and temporal perspectives. This study aims to analyze spatial and temporal trends in water quality in Code River in Indonesia and correlate these with land use and land cover changes over a particular period. Water quality data consisting of 15 parameters and Landsat image data taken from 2011 to 2017 were collected and analyzed. We found that the concentrations of total dissolved solid, nitrite, nitrate, and zinc had increasing trends from upstream to downstream over time, whereas concentrations of parameter biological oxygen demand, cuprum, and fecal coliform consistently undermined water quality standards. This study also found that the proportion of natural vegetation land cover had a positive correlation with the quality of Code River’s water, whereas agricultural land and built-up areas were the most sensitive to water pollution in the river. Moreover, the principal component analysis of water quality data suggested that organic matter, metals, and domestic wastewater were the most important factors for explaining the total variability of water quality in Code River. This study demonstrates the application of a GIS-based multivariate analysis to the interpretation of water quality monitoring data, which could aid watershed stakeholders in developing data-driven intervention strategies for improving the water quality in rivers and streams.


2019 ◽  
Vol 5 (1) ◽  
pp. 5
Author(s):  
Bagus Rizki Novianto, Abdul Manan

Abstract Water is a place for aquatic organisms and other organisms to live. Water must fulfill a number of factors that support the factor of chemistry, physics and biology. Most of the cultivation death caused by these factors. The conduct of this study is to know the water quality in the enlargement process in Central goldfish Freshwater Aquaculture Development (BBPBAT) Sukabumi. Study are carried out at the Hall for Development of Freshwater Aquaculture, Selabatu Village, Cikole District, Sukabumi Regency, West Java Province, on January, 16 - February 16, 2012. The methods that used is descriptive method.This type of goldfish cultivation is owned by the government. Sources of water used in rearing goldfish come from Cisarua river by using irrigation systems. The source of this water has a temperature between 23.5 – 24.3°C, pH 6.24 – 7.02, dissolved oxygen 4.73 – 4.61 mg/l, dissolved carbon dioxide 11,04 – 25,87 mg/l, ammonia 0.52 – 0.58 mg/l, and nitrite 0.046 – 0.059 mg/l. Monitoring water quality at the source of water every month, while the water quality monitoring in the goldfish pond enlargement is done every week to determine the feasibility of water used for aquaculture activities.


2021 ◽  
Vol 9 (1) ◽  
pp. 47
Author(s):  
Maria elisa Leite Costa ◽  
Sérgio Koide ◽  
Daniela Junqueira Carvalho ◽  
Jeremie Garnier

<p>Entre fevereiro de 2018 e janeiro de 2020, foi realizado o monitoramento hidrológico e de qualidade da água do Córrego Vicente Pires, localizado em uma zona urbana do Distrito Federal, a fim de avaliar as alterações na qualidade da água a partir da determinação de parâmetros físico-químicos, em eventos nos períodos seco e chuvoso. Foram elaborados polutogramas para os parâmetros de condutividade (elétrica), turbidez, pH, sólidos, demanda química de oxigênio e nutrientes (nitrogênio e fósforo), associados aos hidrogramas dos mesmos eventos, com vazões variando de 0,5 m³/s a 72,2 m³/s. O monitoramento dos eventos de cheia obteve concentrações de sólidos totais de até 7.583 mg/L, fosfato até 0,9 mg/L de PO<sub>4</sub><sup>3 </sup>e demanda química de oxigênio de até 958 mg/L. No período de estiagem, devido à menor disponibilidade de água no córrego, não há diluição de poluentes e  ressalta-se a concentração de nitrato (NO<sub>3</sub>até 9 mg/L)  em função dos lançamentos de esgotos domésticos no córrego. No período chuvoso, evidenciam-se os sólidos totais associados à lavagem da superfície e erosão do solo por grandes volumes gerados no escoamento superficial. Esses resultados expõem a necessidade de investimentos em infraestrutura de coleta de esgoto e drenagem urbana, inclusive, na adoção de medidas de contenção de sedimentos durante a realização de obras.</p><p><strong>Palavras-chaves:  </strong>Monitoramento hidrológico; Polutograma; Cheias.</p><p> </p><h2 align="center">URBAN WATERQUALITY IN THE VICENTE PIRES STREAM – FEDERAL DISTRICT</h2><p><strong>Abstract</strong></p><p>Between February 2018 and January 2020, hydrological and water quality monitoring of Vicente Pires Stream, located in the urban area of the Federal District, was carried out in order to assess the changes in water quality from the determination of physical-chemical parameters during events in the dry and rainy periods. Polutographs were prepared for parameters such as (electric) conductivity, turbidity, pH, solids, chemical oxygen demand and nutrients (nitrogen and phosphorus), associated with hydrographs of the same events, with flows that ranged from 0.5 m³/s to 72.2 m³/s. The monitoring of flood events showed concentrations of total solids up to 7,583 mg/L, phosphate up 0,9 mg/L PO43 and chemical oxygen demand up to 958 mg/L. During the dry season, due to the lower availability of water in the stream, there is no dilution of pollutants and the nitrate concentration stands out (NO3 up to 9 mg/L), due to discharges of domestic sewage into the stream. In the rainy season, the total solids associated with the washing of the surface and soil erosion by large volumes of runoff stand out. These results expose a need for investment in sewage collection and urban drainage infrastructures, including the adoption of sediment containment measures during the execution of construction.</p><p><strong>Keywords:</strong> Hydrological monitoring; Polutograph; Floods.</p>


2021 ◽  
Vol 17 (10) ◽  
Author(s):  
Kanga Idé Soumaila ◽  
Naimi Mustapha ◽  
Chikhaoui Mohamed

The aim of this study is to access the quality of monitored rivers and to map the polluted river sections in the Sebou basin using Geographic Information System (GIS). The potential causes of water quality variation will also be added for suitable measures to be taken. A Water Quality Index (WQI) which developed in Morocco was applied to 17 river water quality monitoring stations with data on 6 parameters (Dissolved oxygen (DO), ammonium ion (NH4 + ), 5-day biochemical oxygen demand (BOD5), chemical oxygen demand (COD), fecal coliforms (FC) and total phosphorus (TP)) collected twice during the wet and dry season over 1990-2017 period. The result shows that river water quality is classified as bad, very bad and medium at 59% of the monitoring stations, while 41% are considered as good to excellent. Interpolation of mean values of overall WQI of the 17 river water quality monitoring stations, revealed evidence of quality degradation along several kilometers of most river sections in the Sebou basin. The correlation matrix between the sub-indices of water quality parameters and the overall WQI showed high positive correlation coefficients and highlights the contribution to water quality degradation as follows: TP (𝑟 = +0.96 ) ≥ NH4 + (𝑟 = +0.96 ) > BOD5 (𝑟 = +0.94) > COD (𝑟 = +0.86) > FC (𝑟 = +0.83) > DO (𝑟 = +0.79). The sections of Fès, Innaounene Rivers, and an extended stretch of Tizguit River must no longer be used for irrigation. River water quality is overall of better quality in the wet season compared to the dry season. Simple linear regressions between the seasonal water quality variation and the overall WQI showed higher coefficients of determination R 2 (0.67 and 0.60) between dry season WQI and the overall WQI and between wet season WQI and the overall WQI respectively. It is clear that discharges of industrial and domestic wastewater during the dry season and agricultural activities are most likely to be the causes of the degradation of river water quality.


2021 ◽  
Author(s):  
Shuwang Yang ◽  
Chao Wang ◽  
Hao Zhang ◽  
Tingshuai Lu ◽  
Yang Yi

Abstract The relationship between environmental regulation and enterprises' total factor productivity (TFP) has been a hot topic in the field of environmental economics, but the conclusions are still mixed. Employing a sample of 14,110 firm-year observations in China from 2010 to 2018, our research explores whether and when environmental regulation could trigger firms, to enhance TFP. The available evidence leads us to cautiously conclude that: 1) Environmental regulation notably improves enterprises' TFP, the conclusion still holds after a series of robustness tests. 2) Enterprises' bargaining power significantly weakens the influence of environmental regulation on enterprises' TFP. 3) Compared with non-state-owned enterprises and non-heavy-polluting industries, environmental regulation has a greater impact on state-owned enterprises and heavy-polluting industries; higher executive compensation does not motivate firms to improve TFP; compared with enterprises headquartered in non-provincial capital cities, environmental regulation has a greater impact on enterprises' TFP in provincial capital cities. Overall, the findings of our research are extremely relevant for the government, investor, and enterprise's manager, this paper provides micro-firm-level evidence for the Porter hypothesis in practice in China.


2017 ◽  
Vol 12 (4) ◽  
pp. 882-893 ◽  
Author(s):  
Weijian Huang ◽  
Xinfei Zhao ◽  
Yuanbin Han ◽  
Wei Du ◽  
Yao Cheng

Abstract In water quality monitoring, the complexity and abstraction of water environment data make it difficult for staff to monitor the data efficiently and intuitively. Visualization of water quality data is an important part of the monitoring and analysis of water quality. Because water quality data have geographic features, their visualization can be realized using maps, which not only provide intuitive visualization, but also reflect the relationship between water quality and geographical position. For this study, the heat map provided by Google Maps was used for water quality data visualization. However, as the amount of data increases, the computational efficiency of traditional development models cannot meet the computing task needs quickly. Effective storage, extraction and analysis of large water data sets becomes a problem that needs urgent solution. Hadoop is an open source software framework running on computer clusters that can store and process large data sets efficiently, and it was used in this study to store and process water quality data. Through reasonable analysis and experiment, an efficient and convenient information platform can be provided for water quality monitoring.


2011 ◽  
Vol 9 (2) ◽  
pp. 265-274 ◽  
Author(s):  
Monika Cieszynska ◽  
Marek Wesolowski ◽  
Maria Bartoszewicz ◽  
Malgorzata Michalska

AbstractThe paper presents an example of using multivariate techniques to interpret a large data set obtained during a 4-year water quality monitoring program in the Gdansk Municipality region, on the southern coast of the Baltic Sea. From 2004 to 2007, 11 physicochemical water parameters were analyzed monthly at 15 sites within eight watercourses. Principal-components analysis and cluster analysis were used to explore the data. Spatio-temporal trends in water quality were evaluated, the variables that determined the data set’s structure and the factors that affected the water’s physicochemical composition identified, with the goal of helping to optimize future monitoring. To reduce the number of analyzed variables, relationships between the analyzed parameters were also identified. The results revealed that the differences in physicochemical water properties among stations were generally smaller than those between the warmer and cooler seasons. It was determined that seasonal intrusions of brackish water from the Gulf of Gdansk can modify the water properties of some watercourses in the study area, but that dissolved oxygen, chemical oxygen demand, and total phosphorus were the main parameters responsible for the overall variation in the observed data. These parameters are related to pollution of anthropogenic origin.


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