Deriving the Regional Soil-Environmental Quality Criteria Based on Anhui Soil-Crop Systems at the Regulated Metal Levels

2021 ◽  
Author(s):  
Yong Teng ◽  
Yuanyuan Ke ◽  
Qixing Zhou ◽  
Riqiang Tao ◽  
Youbao Wang
Keyword(s):  
Environmental Quality ◽  
Quality Criteria ◽  
Metal Levels

Periphyton collectors as a tool to measure environmental performance of ocean outlets

2003 ◽  
Vol 47 (7-8) ◽  
pp. 125-131 ◽  
Author(s):  
S. Lemmens
Keyword(s):  
Water Quality ◽  
Chlorophyll A ◽  
Environmental Quality ◽  
Coastal Waters ◽  
Quality Criteria ◽  
Carbonate Content ◽  
Total Biomass ◽  
Effective Measure ◽  
North East ◽  
The North

Brown and Root has participated in extensive investigations of the effects of the discharges from Perth's Ocean Outlets, as part of the Perth Long-Term Ocean Outlet Monitoring (PLOOM) Programme (1995 to 2001). The major environmental concern with these discharges is the potential for nutrients in the wastewater to stimulate excess primary production in the sea. PLOOM, and its predecessor, the Perth Coastal Waters Study, have been instrumental in developing parameters for the measurement of the performance of Perth's ocean outlets. These parameters are currently being integrated in the development of Environmental Quality Criteria (EQC) for the Perth region. EQC play an important role in the management framework by providing the quantitative benchmarks for measuring success in achieving the environmental quality objectives. PLOOM has monitored a range of environmental parameters in the Perth Metropolitan area, including water quality, nutrient levels, water circulation and plume dilution, levels of metals and pesticides present in the marine environment, and the environmental health of benthic communities, in particular of temperate reef systems. During the PLOOM studies, a valuable tool was being developed to monitor outlet performance. Artificial reef structures (“periphyton collectors”) were placed in the plume trajectory. Here, periphyton is defined as: the microalgae (diatoms and microscopic filamentous forms), algal propagules, bacteria, microfauna and particulate material that are found in a mucous-like layer commonly coating seagrass leaves, and that initially colonise artificial surfaces. The advantage of periphyton collectors is that these largely remove the effects of natural variability, can be placed at any depth and distance from a potential nutrient source, provide an easy, cost effective measure of environmental impact, integrated over an extended period (one month), and produce tangible results which can be interpreted by the wider community, as well as legislative authorities and by outlet managers. In addition, outlet performance can be measured by means of these tools, and tested against accepted environmental criteria. Between 1995-2001, periphyton collectors, consisting of 15 × 15 cm PVC plates attached to moorings at fixed depths (2, 4 and 8 m), were deployed for one month during spring, summer and autumn, at increasing distance from the source (250 and 500 m distance to the north, east, west, and south, and at 1,000, 2,000, 4,000 m to the north and south only). After retrieval, the collectors were analysed for total biomass (g AFDW m−2), calcium carbonate content (% AFDW) and chlorophyll levels (chlorophyll a m−2). The results confirmed the predictions made by hydrodynamic modelling (e.g. Zic and Gondinoudis, 2002) and are in accordance with measured nutrient and chlorophyll a levels around the outlets, and demonstrated that the zone of influence was strongly determined by the prevailing currents (to the north), and largely restricted to surface layers (2-4 m depth). Both biomass and chlorophyll content proved reliable parameters, which have the potential to be used as Environmental Quality Criteria (EQC's) for the management of Perth's coastal waters. These EQC's were developed in collaboration with legislative authorities, as part of draft criteria, in accordance with national guidelines: ANZECC/ARMCANZ (2000) Australian and New Zealand Guidelines for Fresh and Marine Water Quality.

Optimal eco-labeling strategy with imperfectly informed consumers

2019 ◽  
Vol 119 (6) ◽  
pp. 1166-1188 ◽  
Author(s):  
Tijun Fan ◽  
Yang Song ◽  
Huan Cao ◽  
Haiyang Xia
Keyword(s):  
Social Welfare ◽  
Environmental Quality ◽  
Design Methodology ◽  
Quality Criteria ◽  
Backward Induction ◽  
Content Type ◽  
Subgame Perfect Nash Equilibrium ◽  
Equilibrium Strategies ◽  
The Social ◽  
Game Theoretic

Purpose The purpose of this paper is to find the optimal environmental quality criteria for a strategic eco-labeling authority with three objectives (i.e. maximizing the aggregate environmental quality, maximizing the industry profit and maximizing the social welfare). Particularly, the authors investigate how the existence of imperfectly informed consumers affects labeling criteria determination and competition among firms. Design/methodology/approach A game-theoretic modeling approach was adopted in this paper. A three-stage sequential game was modeled and backward induction was used to solve for a subgame perfect Nash equilibrium. To investigate the impacts of the existence of imperfectly informed consumers, the equilibrium, if all consumers are perfectly informed of the eco-label, was studied as a benchmark. Findings A more strict eco-labeling criterion improves revenues for both the labeled and unlabeled firms. It is interesting to find that the eco-labeling criteria to maximize industry profits are stricter than the criteria to maximize social welfare. Moreover, when the fraction of imperfectly informed consumers increases, the eco-labeling criteria to maximize aggregate environmental quality or industry profits will be more strict, while the criteria to maximize the social welfare will be looser. Originality/value The authors analyze the equilibrium strategies for firms against the eco-labeling criteria certified by authority with different objectives. The obtained optimal labeling strategies could provide insightful guidelines for the certifying authority to select the best suitable labeling criteria to achieve its goals.

Environmental quality criteria: Some considerations

1981 ◽  
Vol 5 (3) ◽  
pp. 191-205 ◽  
Author(s):  
H. Babich ◽  
D. L. Davis ◽  
J. Trauberman
Keyword(s):  
Environmental Quality ◽  
Quality Criteria

A study on soil-environmental quality criteria and standards of arsenic

2017 ◽  
Vol 77 ◽  
pp. 158-166 ◽  
Author(s):  
Qixing Zhou ◽  
Yong Teng ◽  
Yang Liu
Keyword(s):  
Environmental Quality ◽  
Quality Criteria

ENVIRONMENTAL QUALITY CRITERIA FOR ORGANIC CHEMICALS PREDICTED FROM INTERNAL EFFECT CONCENTRATIONS AND A FOOD WEB MODEL

2004 ◽  
Vol 23 (10) ◽  
pp. 2518 ◽  
Author(s):  
Theo P. Traas ◽  
Annemarie P. van Wezel ◽  
Joop L.M. Hermens ◽  
Mathilde Zorn ◽  
Albertus G.M. van Hattum ◽  
...  
Keyword(s):  
Food Web ◽  
Environmental Quality ◽  
Quality Criteria ◽  
Organic Chemicals ◽  
Internal Effect ◽  
Food Web Model

scholarly journals Pazarsuyu Deresi (Giresun, Türkiye) Sediment Kalitesinin Çok Değişkenli İstatistik Yöntemlerle Belirlenmesi

2018 ◽  
Vol 6 (3) ◽  
pp. 304 ◽  
Author(s):  
Fikret Ustaoğlu ◽  
Yalçın Tepe
Keyword(s):  
Heavy Metal ◽  
Pearson Correlation ◽  
Sediment Quality ◽  
Quality Criteria ◽  
Black Sea Region ◽  
Metal Levels ◽  
Statistical Program ◽  
Pearson Correlation Analysis ◽  
The City

The present study, aimed to determine sediment quality of Pazarsuyu Stream, located in the city limit Giresun, Black Sea Region, were carried out between June 2014 and May 2015. The average heavy metal levels of samples taken seasonally from four selected stations were as follow; Cr; 10.64 ppm, Mn; 155.83 ppm, Fe; 8312 ppm, Co; 5.73 ppm, Cu; 17.79 ppm, Zn; 32.74 ppm, Cd; 0.16 ppm, Pb; 19.69 ppm. Additionally, the average sediment organic matter % and pH were found as 6.64 and 5.02, respectively. The obtained data were evaluated statistically by one way ANOVA, Pearson correlation analysis, cluster, and factor analysis. Dot graphs were made by using PAST statistical program. The level of heavy metal pollution in the stream sediment were determined by comparisons of our graphs with sediment quality criteria and the mean heavy metal concentrations of the earth.

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