scholarly journals A Soil Environmental Quality Assessment Model Based on Data Fusion and Its Application in Hebei Province

2020 ◽  
Vol 12 (17) ◽  
pp. 6804
Author(s):  
Zheng Huo ◽  
Junping Tian ◽  
Yanbin Wu ◽  
Fengjiao Ma
Keyword(s):  
Data Fusion ◽  
Quality Assessment ◽  
Soil Pollution ◽  
Environmental Quality ◽  
Quality Index ◽  
Risk Index ◽  
Pollution Index ◽  
Hebei Province ◽  
Assessment Model

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.

scholarly journals Application of Three Deep Machine-Learning Algorithms in a Construction Assessment Model of Farmland Quality at the County Scale: Case Study of Xiangzhou, Hubei Province, China

Agriculture ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 72
Author(s):  
Li Wang ◽  
Yong Zhou ◽  
Qing Li ◽  
Tao Xu ◽  
Zhengxiang Wu ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Index System ◽  
Quality Index ◽  
Hubei Province ◽  
Machine Learning Algorithms ◽  
Assessment Model ◽  
Soil Conditions ◽  
The Mean ◽  
County Scale ◽  
Assessment Results

Constructing a scientific and quantitative quality-assessment model for farmland is important for understanding farmland quality, and can provide a theoretical basis and technical support for formulating rational and effective management policies and realizing the sustainable use of farmland resources. To more accurately reflect the systematic, complex, and differential characteristics of farmland quality, this study aimed to explore an intelligent farmland quality-assessment method that avoids the subjectivity of determining indicator weights while improving assessment accuracy. Taking Xiangzhou in Hubei Province, China, as the study area, 14 indicators were selected from four dimensions—terrain, soil conditions, socioeconomics, and ecological environment—to build a comprehensive assessment index system for farmland quality applicable to the region. A total of 1590 representative samples in Xiangzhou were selected, of which 1110 were used as training samples, 320 as test samples, and 160 as validation samples. Three models of entropy weight (EW), backpropagation neural network (BPNN), and random forest (RF) were selected for training, and the assessment results of farmland quality were output through simulations to compare their assessment accuracy and analyze the distribution pattern of farmland quality grades in Xiangzhou in 2018. The results showed the following: (1) The RF model for farmland quality assessment required fewer parameters, and could simulate the complex relationships between indicators more accurately and analyze each indicator’s contribution to farmland quality scientifically. (2) In terms of the average quality index of farmland, RF > BPNN > EW. The spatial patterns of the quality index from RF and BPNN were similar, and both were significantly different from EW. (3) In terms of the assessment results and precision characterization indicators, the assessment results of RF were more in line with realities of natural and socioeconomic development, with higher applicability and reliability. (4) Compared to BPNN and EW, RF had a higher data mining ability and training accuracy, and its assessment result was the best. The coefficient of determination (R2) was 0.8145, the mean absolute error (MAE) was 0.009, and the mean squared error (MSE) was 0.012. (5) The overall quality of farmland in Xiangzhou was higher, with a larger area of second- and third-grade farmland, accounting for 54.63%, and the grade basically conformed to the trend of positive distribution, showing an obvious pattern of geographical distribution, with overall high performance in the north-central part and low in the south. The distribution of farmland quality grades also varied widely among regions. This showed that RF was more suitable for the quality assessment of farmland with complex nonlinear characteristics. This study enriches and improves the index system and methodological research of farmland quality assessment at the county scale, and provides a basis for achieving a threefold production pattern of farmland quantity, quality, and ecology in Xiangzhou, while also serving as a reference for similar regions and countries.

Water-Quality Assessment of Lv-Tang River in Zhanjiang, China

2013 ◽  
Vol 295-298 ◽  
pp. 755-758 ◽  
Author(s):  
Ya Yun Liu ◽  
Zhi Hong Li ◽  
Xiao Jian Liang ◽  
Yan Peng Lin ◽  
Rong Hao Wu ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Oxygen Demand ◽  
Pollution Index ◽  
Ammonia Nitrogen ◽  
Single Parameter ◽  
Water Quality Parameter ◽  
National Quality

Based on the water quality investigation data of December in 2010, the water environment quality of Lv-tang River in Zhanjiang national urban wetland park was assessed using single water quality parameter model and integrated water quality index model. The results show that the water quality of Lv-tang River is worse than the national quality standards for Grade V. The water is polluted seriously. The main pollutants are total nitrogen (TN), ammonia nitrogen (NH3-N) and chemical oxygen demand CODCr with their average concentrations of 60.49 mg/L, 30.57 mg/L and 227.38mg/L, respectively. The averages of their single parameter pollution index are 30.25 , 19.79 and 8.74. The average of single parameter pollution index of the river is 8.23 which indicated that the river belongs to heavy pollution zone. The integrated water quality index was 22.5 showing that the river belongs to serious pollution zone.

scholarly journals Analisis Kualitas Air Laut di Area Alur Pelayaran Barat Surabaya di Selat Madura (Quality Analysis of the Saltwater in West Surabaya Fairway in Madura Strait)

2016 ◽  
Vol 1 (01) ◽  
pp. 42
Author(s):  
Ririn Endah Badriani
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Pollution Index ◽  
Quality Analysis ◽  
Disposal Site ◽  
Marine Biota ◽  
Sampling Points ◽  
Do Concentration

AbstractPelabuhan Tanjung Perak Surabaya merupakan pelabuhan terbesar di kawasan Indonesia bagian timur. PT PELINDO III melakukan pengembangan Arus Pelayaran Barat Surabaya (APBS). Akibatnya aktivitas sekitar APBS meningkat yang berpotensi menimbulkan pencemaran di perairan. Tujuan penelitian ini untuk menentukan kualitas air berdasarkan baku mutu biota laut dan indek kualitas air di sekitar APBS. Indeks kualitas air yang digunakan adalah Indeks Pencemaran (IP) dan National Sanitation Federation Water Quality Index (NSF WQI). Hasil penelitian menunjukkan bahwa perairan di sekitar APBS dan lokasi pembuangan material keruk mengalami penurunan kualitas air laut dengan beberapa parameter tidak memenuhi baku mutu yaitu TSS 30 mg/l (ST 1), kekeruhan 19 NTU (ST 1), nitrat (0,7 mg/l di ST1dan 0,5 mg/l di ST2) dan di semua titik sampling diperoleh kadar DO (3 mg/l), fosfat 0,02 – 0,6 mg/L dan kecerahan (0,55 - 1.70 m). Indeks kualitas air di sekitar APBS dan lokasi pembuangan material keruk dengan metode IP dihasilkan tercemar sedang (ST 1, S2 dan ST 4 ) dan tercemar ringan (ST 3, ST 5 dan ST 6). Nilai kualitas perairan berdasarkan NSF WQI diperoleh dua kategori yaitu baik ( ST 3, ST 4, ST 5) dan sedang (ST 1, ST 2 dan ST 6).Keywords: aktivitas sekitar APBS, kualitas air, indeks pencemaran, NSF WQI AbstrakTanjung Perak Surabaya is the biggest harbor in the Eastern part of Indonesia. PT Pelindo III implemented the development of the eastern fairway Surabaya (APBS). Consequently, the activities arround them increased. It had potential to cause water polllution. This study is aim to determine the water quality based on standart quality of marine biota and the index of water quality arround APBS. Index of water quality are pollution index (IP) and National Sanitation Federation Water Quality Index (NSF WQI). The result of the study showed that the water harbor arround APBS and the location of dreging material were decreasing in the term of the quaity of the saltwater . The quality of saltwater did not reach the standart quality, which was TSS 30 mg/l (ST 1), the turbidity of 19 NTU (ST 1), nitrate (0.7 mg / l in ST1dan 0.5 mg / l in ST2) and at all sampling points obtained DO concentration (3 mg / l), phosphate from 0.02 to 0.6 mg / L and brightness (from 0.55 to 1.70 m) .Index of water quality arround APBS and dregging material disposal site that was used IP method was medium polluted (ST 1, S2 and ST 4) and lightly polluted (ST 3, ST 5 and ST 6). Values of water quality by NSF WQI obtained two categories: good (ST 3, ST 4, ST 5) and medium (ST 1, ST 2 and ST 6).Kata kunci: the activities arround APBS, water qualiy, pollution index, NSF WQI

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 ◽  
...  
Keyword(s):  
Environmental Quality ◽  
Eosinophilic Esophagitis ◽  
Quality Index

FORMATION OF THE MODEL ASSESSMENT OF THE QUALITY OF PREPARATION OF MASTERS IN THE CONTEXT OF THE INSTITUTIONAL TRANSFORMATION OF HIGHER EDUCATION

2015 ◽  
Vol 10 (5) ◽  
pp. 214-226 ◽  
Author(s):  
Строева ◽  
Olesya Stroeva ◽  
Иващенко ◽  
Tatyana Ivashchenko
Keyword(s):  
Higher Education ◽  
Quality Assessment ◽  
Russian Federation ◽  
Assessment Model ◽  
Institutional Transformation ◽  
Model Assessment ◽  
Master Program ◽  
Foreign Experience ◽  
The Russian Federation

In the article the background of the quality assessment model of training Master students is examined. Based on the analysis of foreign experience academic models are structured formed as a result of several factors. The criteria of the formation of the institutional framework for transforming the system of higher education in general and Master training in particular. On the basis of the study the problems of functioning of Master Institute in the Russian Federation are systematized. Indicators of compliance of competencies of Master passport with the competencies of Master program are presented.

A sustainable quality assessment model for the information delivery in E-learning systems

2018 ◽  
Vol 46 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Shahid Farid ◽  
Rodina Ahmad ◽  
Mujahid Alam ◽  
Atif Akbar ◽  
Victor Chang
Keyword(s):  
Quality Assessment ◽  
State Of The Art ◽  
Statistical Tests ◽  
Information Delivery ◽  
Learning Systems ◽  
Learning System ◽  
Assessment Model ◽  
Content Type ◽  
E Learning

Purpose The purpose of this study is to propose a sustainable quality assessment approach (model) for the e-learning systems keeping software perspective under consideration. E-learning is becoming mainstream due to its accessibility, state-of-the-art learning, training ease and cost effectiveness. However, the poor quality of e-learning systems is one of the major causes of several failures reported. Moreover, this arena lacks well-defined quality assessment measures. Hence, it is quite difficult to measure the overall quality of an e-learning system effectively. Design/methodology/approach A pragmatic mixed-model philosophy was adopted for this study. A systematic literature review was performed to identify existing e-learning quality models and frameworks. Semi-structured interviews were conducted with e-learning experts following empirical investigations to identify the crucial quality characteristics of e-learning systems. Various statistical tests like principal component analysis, logistic regression, chi-square and analysis of means were applied to analyze the empirical data. These led to an adequate set of quality indicators that can be used by higher education institutions to assure the quality of e-learning systems. Findings A sustainable quality assessment model for the information delivery in e-learning systems in software perspective has been proposed by exploring the state-of-the-art quality assessment/evaluation models and frameworks proposed for the e-learning systems. The proposed model can be used to assess and improve the process of information discovery and delivery of e-learning. Originality/value The results obtained led to conclude that very limited attention is given to the quality of e-learning tools despite the importance of quality and its effect on e-learning system adoption and promotion. Moreover, the identified models and frameworks do not adequately address quality of e-learning systems from a software perspective.

Grassland Eco-Environmental Quality Assessment Based on RS in Hulun Lake Region

2012 ◽  
Vol 209-211 ◽  
pp. 1120-1125
Author(s):  
Shao Wei Ning ◽  
Hong Qi Wang ◽  
Jing Wen Sun
Keyword(s):  
Linear Regression ◽  
Quality Assessment ◽  
Environmental Quality ◽  
Vegetation Index ◽  
Assessment Model ◽  
General Area ◽  
Environmental Quality Assessment ◽  
Lake Region ◽  
Hulun Lake ◽  
Assess Quality

Using the two periods of TM images and investigation of Hulun Lake, vegetation index, TS, NDMI, NDSI, slope are choosed as indicators. Grassland eco-environmental quality assessment model is builded by multiple linear regression to assess quality in the study area. From the evaluation results, poor and bad area increased from 9% to 17%, meanwhile, good and general area decreased from 89% to 81% in five years. The grassland eco-environmental quality in the study area is getting worse and worse.

scholarly journals Defining Parameters for Urban-Environmental Quality Assessment

2021 ◽  
Vol 10 (4) ◽  
pp. 1-13
Author(s):  
Oto Novacek ◽  
Jesus Lopez Baeza ◽  
Jan Barski ◽  
Jorg Rainer Noenning
Keyword(s):  
Quality Assessment ◽  
Urban Environment ◽  
Urban Space ◽  
Environmental Quality ◽  
Negative Emotions ◽  
Environmental Quality Assessment ◽  
Physical Elements ◽  
Definition Of ◽  
Positive And Negative Emotions

Measuring the quality of the urban environment has been a matter of research rooted in different fields of knowledge. Several methods and indicators have been deployed through the years, as have horizontal approaches from mixed perspectives. However, currently established indexes to measure urban performance depend on the actual definition of quality and on the weighted relevance of the different features influencing it. This contribution compares the level of emphasis paired by established indexes to measure urban quality, in contrast to what people mention the most when asked about what they like or dislike about the urban environment. The underlying idea is to obtain first-hand information about the way people make decisions about their movements in urban space. As a result, we observe a lack of correlation between the two groups of indicators, and between the key urban elements driving positive and negative emotions. In conclusion, we observe a tendency of people to perceive and report individual physical elements, rather than intangible concepts like safety or comfort.

scholarly journals Defining Parameters for Urban-Environmental Quality Assessment

2021 ◽  
Vol 10 (4) ◽  
pp. 0-0
Keyword(s):  
Quality Assessment ◽  
Urban Environment ◽  
Urban Space ◽  
Environmental Quality ◽  
Negative Emotions ◽  
Environmental Quality Assessment ◽  
Physical Elements ◽  
Definition Of ◽  
Positive And Negative Emotions

Measuring the quality of the urban environment has been a matter of research rooted in different fields of knowledge. Several methods and indicators have been deployed through the years, as have horizontal approaches from mixed perspectives. However, currently established indexes to measure urban performance depend on the actual definition of quality and on the weighted relevance of the different features influencing it. This contribution compares the level of emphasis paired by established indexes to measure urban quality, in contrast to what people mention the most when asked about what they like or dislike about the urban environment. The underlying idea is to obtain first-hand information about the way people make decisions about their movements in urban space. As a result, we observe a lack of correlation between the two groups of indicators, and between the key urban elements driving positive and negative emotions. In conclusion, we observe a tendency of people to perceive and report individual physical elements, rather than intangible concepts like safety or comfort.

Sign in / Sign up

Export Citation Format

Share Document