Mo1195 POOR ENVIRONMENTAL QUALITY OF LAND AND WATER, AS MEASURED BY THE ENVIRONMENTAL QUALITY INDEX, ARE STRONGLY ASSOCIATED WITH EOSINOPHILIC ESOPHAGITIS

2020 ◽  
Vol 158 (6) ◽  
pp. S-823
Author(s):  
Dashel Nance ◽  
Kristen M. Rappazzo ◽  
Elizabeth T. Jensen ◽  
Kate Hoffman ◽  
Cary C. Cotton ◽  
...  
Author(s):  
D Nance ◽  
K M Rappazzo ◽  
E T Jensen ◽  
K Hoffman ◽  
C C Cotton ◽  
...  

Summary Geographic differences in eosinophilic esophagitis (EoE) prevalence suggest the possibility that environmental exposures contribute to EoE pathogenesis. We aimed to examine the association between environmental quality and risk of EoE, using the Environmental Quality Index (EQI), which provides quantification of environmental quality in five domains: air, land, water, built, and sociodemographic for all counties in the United States. To do this, we performed a case–control study in a large pathology database. EoE cases were defined by ≥15 eosinophils per high-power field with other pathologic diagnoses excluded; controls did not have EoE. The pathology data were geocoded and linked with the EQI by county of residence. Logistic regression was used to estimate odds ratio (OR and 95% confidence interval [CI]) of EoE with overall EQI and for each domain, after adjusting for sex, age, and proportion minority race or ethnicity at the county level (higher EQI score indicates worse environmental quality). Of 29,802 EoE cases and 593,329 controls analyzed, odds of EoE were highest in the worst quintile of EQI (OR 1.25; 95% CI: 1.04–1.50), which was largely explained by poor scores in the water domain (OR: 1.33; 1.17–1.50). Conversely, odds of EoE were reduced with higher scores in the air domain (OR: 0.87, 0.74–1.03) and land domain (OR 0.87; 0.76–0.99). Poor EQI, mostly reflected by poor water quality, was associated with increased odds of EoE, while poor air and land quality were inversely associated with EoE. Additional work to identify specific water pollutants that may have an etiologic role in EoE may be warranted.


Author(s):  
Всеволод Сергеевич Валиев ◽  
Рустам Равилевич Хасанов ◽  
Денис Евгеньевич Шамаев

Разработано локальное приложение для Windows, реализованное в виде комплекса из трех модулей, осуществляющих расчет удельных комбинаторных индексов воды и донных отложений поверхностных водных объектов, а также байесову вероятность загрязнения. Тестирование комплекса продемонстрировало его высокую эффективность и простоту в использовании, обеспечивающую быструю, надежную и комплексную оценку качества водных объектов. Библиографические ссылки 1. Буч Г. Объектно-ориентированное проектирование с примерами применения. Киев: Диалектика; М.: Конкорд, 1992. 519 с.2. Валиев В.С., Иванов Д.В., Шагидуллин Р.Р. Метод комплексной оценки загрязненности донных отложений // Труды Карельского научного центра РАН. Сер. Лимнология и океанология 2019. №9. С. 51–59. doi: 10.17076/lim1122/3. Валиев В.С., Иванов Д.В., Зиганшин И.И., Шамаев Д.Е., Хасанов Р.Р., Маланин В.В., Марасов А.А., Шагидуллин Р.Р. Методика комплексной оценки качества донных отложений водных объектов по содержанию загрязняющих веществ // Озера Евразии: проблемы и пути их решения / Материалы II международной конференции. Казань: Изд-во Академии наук РТ, 2019. Ч. 2. С. 43‒49.4. РД 52.24.643-2002. Метод комплексной оценки степени загрязненности поверхностных вод по гидрохимическим показателям.5. Региональные нормативы «Фоновое содержание нефтепродуктов в донных отложениях поверхностных водных объектов Республики Татарстан» (утв. Приказом Министерства экологии и природных ресурсов РТ от 20.02.2020 г.)6. Региональные нормативы «Фоновое содержание тяжелых металлов в донных отложениях поверхностных водных объектов Республики Татарстан» (утв. Приказом Министерства экологии и природных ресурсов РТ от 27.03.2019 г.)7. Тунакова Ю.А., Галимова А.Р., Новикова С.В., Шагидуллин Р.Р., Валиев В.С., Габдрахманова Г.Н. Система оценки и управления качеством питьевых вод (на примере территории г. Казани). Казань: Фолиант, 2016. 140 с.8. Calculating NSF Water Quality Index – National Sanitation Foundation. Электронный ресурс: https://water-research.net/index.php/water-treatment/water-monitoring/monitoring-the-quality-of-surfacewaters (дата обращения: 15.06.2021).9. Canadian Environmental Quality Guidelines. Электронный ресурс: https://ccme.ca/en/ current-activities/canadian-environmental-quality-guidelines (дата обращения: 15.06.2021).10. Tesler L. Object Pascal Report // Structured language world. 1985. V. 9 (3). P. 7‒10.


2018 ◽  
Vol 9 (1) ◽  
pp. 35-63
Author(s):  
Anih Sri Suryani

The quality of the environment and basic needs of the community as long as it is a matter of concern and need to be improved. This study aims to measure the effect of environmental quality on the fulfillment of basic needs. Mixed methods of Quantitative (with questionnaires) and qualitative (by interview) are conducted in data collection and analysis. The results showed that all environmental quality indexes were correlated with the fulfillment of basic needs, except for the biodiversity index. Based on the correlation test it is found that all environmental quality index have positive effect on the fulfillment of basic needs. This means, if there is an increase in air quality, water quality, land cover, biodiversity, public health, and environmental health then the fulfillment of basic needs will increase, and vice versa. The air quality index and land cover have the largest constants among the other indices. Thus, an increase of that value will have a greater impact on the increase in basic compliance, and vice versa. Kualitas lingkungan dan kebutuhan dasar masyarakat selama ini merupakan hal yang menjadi perhatian dan perlu terus ditingkatkan. Penelitian ini bertujuan untuk mengukur pengaruh kualitas lingkungan terhadap pemenuhan kebutuhan dasar. Metode gabungan kuantitatif (dengan penyebaran kuesioner) dan kualitatif (dengan wawancara) dilakukan dalam pengumpulan dan analisis data. Hasil penelitian di Provinsi Banten menunjukkan bahwa semua indeks kualitas lingkungan berkorelasi dengan pemenuhan kebutuhan dasar, kecuali indeks keanekaragaman hayati. Berdasarkan uji korelasi didapatkan bahwa semua indeks kualitas lingkungan berpengaruh positif terhadap pemenuhan kebutuhan dasar. Hal ini berarti, apabila terjadi kenaikan kualitas udara, kualitas air, tutupan lahan, keanekaragaman hayati, kesehatan masyarakat, dan kesehatan lingkungan maka pemenuhan kebutuhan dasar akan meningkat, begitu juga sebaliknya. Indeks kualitas udara dan tutupan lahan mempunyai konstanta yang paling besar diantara indeks lainnya. Dengan demikian, kenaikan dari nilai tersebut akan berdampak lebih besar pada kenaikan pemenuhan dasar, demikian juga sebaliknya.


2019 ◽  
Vol 125 ◽  
pp. 10007
Author(s):  
Shanty Oktavilia ◽  
FX. Sugiyanto ◽  
Firmansyah ◽  
Amin Pujiati ◽  
Andryan Setyadharma

Economic development as a process of improving people's welfare in a country can also lead the declining of the environment quality. The degradation of the environment can be caused by the energy consumption required in the development process, as well as pollution. The main purpose of this study is to analyze empirically the impact of energy consumption and economic growth toward environmental quality which is measured by environmental quality index. This study employs the econometric model of panel data of 34 provinces in Indonesia along 2011-2016. The study finds the long-term relationship between energy consumption and economic growth on environmental quality in Indonesia.


2016 ◽  
Vol 26 (6) ◽  
pp. 813-827 ◽  
Author(s):  
Marina Laskari ◽  
Stavroula Karatasou ◽  
Mat Santamouris

This paper presents the methodology for the calculation of an indoor environmental quality indicator for residential buildings. The ‘Dwelling Environmental Quality Index’ has been developed with the purpose of assisting both households and property managers to identify potential problems with the indoor environment whilst ensuring that indoor environmental quality is not compromised in favour of energy saving. Based on the combined effect of three simple and commonly measured indoor environmental parameters – air temperature, relative humidity and CO2 concentrations; the index reflects in a single value the quality of indoor environmental conditions for the monitored period, in compliance with the European standard EN15251:2007. The application of the Dwelling Environmental Quality Index in single dwellings and in building blocks is demonstrated. The usability of the index as a communication and management tool for individual households and property managers is also demonstrated.


2020 ◽  
Vol 9 (1) ◽  
pp. 34-45
Author(s):  
Riyawati Ika Dewi ◽  
Ahmansya ◽  
Diana Vivanti Sigit

The reality, must be faced by DKI Jakarta as the National Capital of Indonesia is population. The estimation  data from the Jakarta Central Statistics Agency (BPS) in 2025, will be 11,034,000 people. This population is quite dense resulting in increased utilization of Natural Resources, and   declining the Jakarta Environmental Quality Index (IKLH). The 2016 IKLH is 38.69 and 2017 is 35.78 and this is the lowest IKLH among 33 Indonesian Provinces. The Provision Green Open Space Program is one of the methods used by the DKI Jakarta Government to maintain the environmental quality of DKI Jakarta.  For 2017 and 2018 did not reach the target for this program so it needs to be evaluated for the program that has been carried out in order to obtain in-depth findings. This research uses the evaluation method as Context, Input, Process Product (CIPP). Result: For the Context and Input components are in accordance with the expectations set while the Process and Product components do not meet the expectations set. Conclusion: Success of the program can be achieved if using innovative and creative ways and program evaluation must be done thoroughly by involving various supporting parties to find out the obstacles of program implementation


2020 ◽  
Vol 12 (17) ◽  
pp. 6804
Author(s):  
Zheng Huo ◽  
Junping Tian ◽  
Yanbin Wu ◽  
Fengjiao Ma

Soil pollution has become one of the most important environmental issues in China. It is very important to evaluate soil environmental quality comprehensively and objectively. This paper proposes a soil environment quality assessment model based on the Driving Force-Pressure-State-Impact-Response (DPSIR) model and data fusion. At first, 18 evaluation indicators are selected, including complex indexes, such as the industrialization index, heavy metal pollution index, organic pollution index, potential ecological risk index, and human health risk index, and single indexes such as population density, fertilizer/pesticide application intensity, annual average air quality index, etc. Then, hierarchical analysis model is constructed, and the weight of each indicator is calculated based on Analytic Hierarchy Process (AHP) method. According to the quartile of indicator values of 32 provincial administrative divisions on the Chinese mainland, the values of each indicator are standardized and graded. Finally, the soil environmental quality index (SEQI) is calculated by the weighted average of the standard values of the 18 indicators. The assessment model is then applied in evaluating soil quality of Hebei Province, China. The results show that the soil environmental quality of Hebei’s agricultural land is in a medium state, and the industrial land is approaching the alert state. The pressure of soil pollution mainly comes from the discharge of industrial pollutants and the application of pesticides and fertilizers. Soil pollutants, such as lead, copper, zinc, benzo[a]pyrene, and benzo[a] should be especially controlled.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Ho Ngoc Pham ◽  
Hai Xuan Nguyen ◽  
Anh Ngoc Nguyen ◽  
Diep Ngoc Tran

This paper presents a new approach to assess the soil quality by aggregate indices using the Relative Soil Quality Index (RSQI) proposed by Ho Ngoc Pham. RSQI is integrated from the individual indices into a simple formula for overall assessment of the soil quality. RSQI is different from other approaches. Particularly, the individual indices and the weighting factors of Pham are calculated from the analytical laboratory data and the environmental standards, respectively, and not self-regulated as in methods of some other authors. In this paper, the authors applied the RSQI to assess the Soil Environmental Quality of rice intensive cultivation areas through a case study in Haiduong province in 2013. The RSQI is calculated for sampling points in 12 districts and simulated the Soil Environmental Quality on GIS map. The results show that the Soil Environmental Quality of rice intensive cultivation areas in Haiduong is predominantly divided into three levels: good, moderate, and poor. According to the report of General Statistics Office for Haiduong province, rice intensive cultivation areas in 2013 achieved a relatively high average rice yield of 5.90 tonnes per hectare; it means actual soil properties are in line with results of the research.


2020 ◽  
Author(s):  
Riyawati Ika Dewi ◽  
Ahman Sya ◽  
Diana Vivanti

With huge pressures from a rapidly growing population, Jakarta suffers from an increasingly low Environmental Quality Index (IKLH). In 2016 and 2017 it was the only province in Indonesia with the IKLH index “alert” according to the Ministry of Environmental and Forestry. Improving the quantity and quality of Green Open Space (GOS) is one way to counter this issue, and this initiative is undertaken by the DKI Jakarta Government to improve the quality of its environment. However, land limitations remain a challenge. The solution of the DKI Jakarta Government is to create multifunction GOS that combine various interests and facilities. The purpose of this study is to identify potential educational benefits from multifunction GOS, using qualitative analysis via literature study. The results suggest that the GOS provide economic, social and educational improvements. Most of the articles said that education through GOS is the second benefit that people can get. This study concludes that GOS can serve to improve environmental awareness in visitors, via indirect educational methods. Keywords: Green Open Space, Multifunction Green Open Space, Environmental Education


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