scholarly journals Spatial Modeling of Environmental Quality Change Based on Geographic Information System

2021 ◽  
Vol 887 (1) ◽  
pp. 012016
Author(s):  
I. G. Wiratmaja ◽  
A. W. Sejati
Keyword(s):  
Information System ◽  
Environmental Quality ◽  
Principal Component ◽  
Geographical Information ◽  
Vegetation Density ◽  
Quality Change ◽  
Ecological Index ◽  
Raster Calculator ◽  
Coastal Land

Abstract A coastal area is prone to decrease of environmental quality due to coastal land abrasion and inundation/tidal flood. Several studies have shown that the coastline of Sayung District, Demak Regency, is moving toward the mainland for 6.8 mm/year and the surrounding area is experiencing land subsidence for 5-7 cm/year. These phenomena have consequences to the environmental quality in the area. In this case, this research aims to develop a spatial model using a Geographical Information System (GIS) in describing and predicting changes of environmental quality in Sayung District, Demak Regency. Four variables in a Risk-Screening Ecological Index (RSEI) approach, namely (1) vegetation density, (2) soil moisture, (3) soil quality, and (4) built space and surface temperature were used as indicators of the environmental quality. A raster calculator and Spatial Principal Component Analysis (SPCA) were then used to calculate total value of the environmental quality. This research results that the environmental quality of the study area is decreasing which indicated by the RSEI value of 0.614 (1999), 0.4749 (2009), and 0.3933 (2019). The environmental quality in the study area is also worsened by waterbody expansion.

scholarly journals Environmental quality evaluation of lakes in the Rio Grande do Sul coastal plain

2007 ◽  
Vol 50 (4) ◽  
pp. 673-685 ◽  
Author(s):  
Catarina da Silva Pedrozo ◽  
Odete Rocha
Keyword(s):  
Environmental Quality ◽  
Sewage Treatment ◽  
Principal Component ◽  
Organic Pollution ◽  
Physical And Chemical Variables ◽  
Environmental Element ◽  
Different Characteristics ◽  
Physical And Chemical ◽  
The Town

The purpose of the present work was to evaluate the environmental quality of Marcelino, Pinguela, Peixoto, Palmital, Malvas and Do Passo lakes, interconnected by canals and located in the district of Osório, RS. In this context, 29 physical and chemical variables were analyzed with sampling carried out in January, May, July and October 1997 to verify the environmental quality of the system and the existence of a gradient of quality. Canonical Analysis was applied to the data of all environmental variables measured, and showed that the lakes had different characteristics as a consequence of the organic pollution received. Marcelino lake received continuous input of organic matter from the sewage treatment works in the town of Osório, whereas Peixoto, Pinguela, Palmital, Malvas and Do Passo lakes resembled other water bodies described in the region, not showing, so far, signs of degradation caused by the input of effluents. Principal Component Analysis selected environmental element were directly linked to organic pollution, that reflected sequential non-recent effects of contamination.

Valley Economy Regionalization Based on Geographical Information System and Statistical Analysis: A Case of Beijing Mountainous Area

2013 ◽  
Vol 765-767 ◽  
pp. 3073-3078
Author(s):  
Feng He ◽  
Hong Li ◽  
Lian Di Zhou ◽  
Dan Feng Sun
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Large Scale ◽  
Principal Component ◽  
Water Source ◽  
Geographical Information ◽  
Mountainous Area ◽  
Vegetable Production ◽  
Valley Economy ◽  
Economic Regions

This paper discussed the regionalization of valley economy of the mountainous area of Beijing. 19 indexes of natural ecological and socio-economic systems were covered,and valley were considered as complete individual taxons. The mountainous area of Beijing was divided into 4 valley economic regions : Shallow mountain, plain grain and vegetable production area (I), Plain premier, special and high quality varieties planting area (II), Remote mountains forest conservation zone (III), Suburban Hilly Area and Remote Mountains ,water source protection and forestry product planting area (IV) valley economic regions by Principal Component Analysis (PCA) and Cluster Analysis (CA) combining with Geographical Information System (GIS) platform. These 4 regions were further divided into 12 valley economic types. The conclusion analyzed the regionalization and methodological framework for large scale areas like the mountainous area of Beijing. Such practice could be generalized to develop appropriate regional valley economic theory for large scale areas.

scholarly journals Heavy metal index and geographical information system (GIS) approach to study heavy metal contamination: a case study of north Chennai groundwater

2020 ◽  
Vol 10 (12) ◽  
Author(s):  
S. R. Mahapatra ◽  
T. Venugopal ◽  
A. Shanmugasundaram ◽  
L. Giridharan ◽  
M. Jayaprakash
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Principal Component Analysis ◽  
Information System ◽  
Principal Component ◽  
Geographical Information ◽  
Common Source ◽  
Groundwater Samples ◽  
Metal Index ◽  
Drinking Purpose

AbstractFifty-four groundwater samples were collected from the highly industrialized area of north Chennai. These groundwater samples were tested for Fe, Mn, Cu, Ni, Pb, Zn and Cr in pre-monsoon and post-monsoon periods of 2015–2016. Most of the samples in the area were found to have high concentration of heavy metals. Geographical information system was used to develop contour maps for the analysis of heavy metals, and it has been found that most of the Ambattur area was affected by the heavy metals in both the seasons. ANOVA tests were carried out on the hydro-chemical data for both the monsoon periods, and it was found that there was a common source of origin for most of the heavy metals, which was also confirmed by the correlation and principal component analysis. T-test indicates that there was a common source of origin of heavy metals in the study area, viz. industrial and domestic pollutants, that were found to be the main source of heavy metals in both the monsoon periods. Principal component analysis gave three important factors (principal components) for both the seasons. Pre-monsoon groundwater samples showed a common cause of origin of heavy metals than the post-monsoon samples. Heavy metal pollution index indicates that almost all the samples were not fit for drinking purpose in both the monsoon periods and metal index also indicates the non-usability of the water for drinking purpose.

scholarly journals Evaluation of the Spatiotemporal Variations in the Eco-environmental Quality in China Based on the Remote Sensing Ecological Index

2020 ◽  
Vol 12 (15) ◽  
pp. 2462
Author(s):  
Weihua Liao ◽  
Weiguo Jiang
Keyword(s):  
Remote Sensing ◽  
Environmental Quality ◽  
Eastern China ◽  
Continuous Process ◽  
Western China ◽  
Environmental Damage ◽  
Ecological Index ◽  
Computing Platform ◽  
The Status

The eco-environment is dynamic and shows a continuous process of long-term change. It is helpful for policymakers to know the status of the regional eco-environment through accurate evaluations of the history and current situation of the regional eco-environment. The remote sensing ecological index (RSEI) model of China was established in this study by using four indexes: wetness, greenness, dryness, and heat. Knowledge granulation of the RSEIs were carried out, and a method to determine the weights of the knowledge granulation entropy of the indexes based on their characteristics was proposed. This study used Moderate Resolution Image Spectroradiometer (MODIS) data from the Google Cloud Computing Platform to study and calculate the eco-environmental quality of China from 2000–2017. The overall eco-environmental quality in China tended to improve from 2000–2017, although there were large areas of ecological degradation from 2009–2014. The eco-environment of eastern China was better than that of western China. Most of the national ecological areas were third-level ecological areas, which had moderate environmental quality. Dryness was the most important factor affecting the quality of the eco-environment, followed by greenness, which reflected the increasing environmental damage caused by human activities in China in recent years.

scholarly journals CONSTRUCTION AND APPLICATION OF ENHANCED REMOTE SENSING ECOLOGICAL INDEX

2018 ◽  
Vol XLII-3 ◽  
pp. 1809-1813
Author(s):  
X. Wang ◽  
C. Liu ◽  
Q. Fu ◽  
B. Yin
Keyword(s):  
Remote Sensing ◽  
Natural Disasters ◽  
Vegetation Index ◽  
Principal Component ◽  
Hainan Island ◽  
Weight Coefficient ◽  
Ecological Environment ◽  
Ecological Index ◽  
Environment Quality

In order to monitor the change of regional ecological environment quality, this paper use MODIS and DMSP / OLS remote sensing data, from the production capacity, external disturbance changes and human socio-economic development of the three main factors affecting the quality of ecosystems, select the net primary productivity, vegetation index and light index, using the principal component analysis method to automatically determine the weight coefficient, construction of the formation of enhanced remote sensing ecological index, and the ecological environment quality of Hainan Island from 2001 to 2013 was monitored and analyzed. The enhanced remote sensing ecological index combines the effects of the natural environment and human activities on ecosystems, and according to the contribution of each principal component automatically determine the weight coefficient, avoid the design of the weight of the parameters caused by the calculation of the human error, which provides a new method for the operational operation of regional macro ecological environment quality monitoring. During the period from 2001 to 2013, the ecological environment quality of Hainan Island showed the characteristics of decend first and then rise, the ecological environment in 2005 was affected by severe natural disasters, and the quality of ecological environment dropped sharply. Compared with 2001, in 2013 about 20000 square kilometers regional ecological environmental quality has improved, about 8760 square kilometers regional ecological environment quality is relatively stable, about 5272 square kilometers regional ecological environment quality has decreased. On the whole, the quality of ecological environment in the study area is good, the frequent occurrence of natural disasters, on the quality of the ecological environment to a certain extent.

scholarly journals REMOTE SENSING EVALUATION OF ECOLOGICAL ENVIRONMENT OF ANQING CITY BASED ON REMOTE SENSING ECOLOGICAL INDEX

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 733-737
Author(s):  
X. Niu ◽  
Y. Li
Keyword(s):  
Remote Sensing ◽  
Urban Area ◽  
Environmental Quality ◽  
Ecological Environment ◽  
Mountainous Area ◽  
Ecological Change ◽  
Ecological Quality ◽  
Ecological Index ◽  
Use Of Resources

Abstract. Figuring out the regional ecological environment quality and ecological change is critical for ecological environment monitoring and management and urban construction planning. Based on the remote sensing ecological index (RESI), we evaluate the ecological quality and ecological change from 1999 to 2019 of Anqing city. Multi-temporal Landsat images are used to extract the four indicators of humidity, vegetation, heat and dryness, respectively. Then the RSEI is calculated by principal component analysis. The results show that the ecological quality of Anqing city declined from 1999 to 2019 and then grew slowly from 2009 to 2019. The eco-environmental quality of Anqing city dropped slightly from 1999 to 2019, and the regions with worse quality grades exceeded those becoming better. Particularly, we find that from 1999 to 2009, the area where the ecological quality became better made up 18.31% of the urban area, while the worse ecological area accounted for 29.68% of the urban area; from 2009 to 2019, the area of improved ecological environment reached 24.35%, while the area of degraded quality constituted 41.36%. Land-use changes dominated eco-environmental quality. The areas of poor eco-environmental quality expanded in residential regions and eco-environmental quality of mountainous area improved since returning cultivated land in steep hills into forest. The RSEI results are expected to provide a quantitative foundation for planning sustainable development and the rational use of resources in Anqing city.

scholarly journals Ground and surface water quality assessment of Palladam Taluk using Geographical Information System and Modified National Sanitation Foundation -Water Quality Index

2021 ◽  
Vol 13 (3) ◽  
pp. 954-961
Author(s):  
R. Chitradevi ◽  
P. N. Magudeswaran ◽  
Vikas D. Ghadamode ◽  
K. Poonkodi ◽  
V. Anitha
Keyword(s):  
Water Quality ◽  
Information System ◽  
Ground Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Tamil Nadu ◽  
Geographical Information ◽  
Ground Water Quality ◽  
Medium Quality

In this work, the assessment of surface and ground water quality of Palladam Taluk, Tiruppur, district, Tamil Nadu, India were carried out using Geographical Information System (GIS) and Modified National Sanitation Foundation -Water Quality Index (MNSF-WQI). Four samples from surface and twenty seven samples from ground water sources were taken from Palladam Taluk, Tiruppur District. In the current study, the surface and ground water samples were analysed for temperature, pH, dissolved oxygen (DO), electrical conductivity (EC), biological oxygen demand (BOD), turbidity, total dissolved solids (TDS), total hardness (TH), faecal coliforms (FC), total phosphate (TP), total nitrate (TN), chlorides (Cl-), sodium (Na+) and fluoride (F-) ions to investigate the suitability of surface and ground water for drinking and agricultural purposes through Geographic information system (GIS) and modified national sanitation foundation water quality index (MNSF-WQI) technique. The concentrations of TH, TDS, Cl- and Na+ were observed to be above the desirable limit of World Health Organization (WHO) guidelines and Bureau of Indian Standards (BIS). whereas F-, BOD, DO, EC, TP, TN, FC and temperature were within the acceptable limits. The GIS-based WQI map analysis indicated that 45% of the study area having good water quality index and the remaining area showed medium quality water. Dyeing and textile industries in the study area are responsible for deteriorating the quality to medium quality of water which was not appropriate for direct utilization and needed prior treatment. There is no detailed report on assessment of the surface and ground water quality of Palladam Taluk in Tamil Nadu using GIS and MNSF-WQI techniques.

Correlation Between Settlement Environmental Quality and Acute Respiratory Infection (ARI) Disease of Gayamsari Sub-District, Semarang

2021 ◽  
Vol 8 (1) ◽  
pp. 51-60
Author(s):  
Ary Mandhara Putra ◽  
Bitta Pigawati
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Respiratory Infection ◽  
Environmental Quality ◽  
Acute Respiratory Infection ◽  
High Population Density ◽  
Remote Sensing Technique ◽  
Spatial Approach ◽  
Quantitative Descriptive

Settlement area with high population density and situated in unfeasible location cause the quality of settlement environment to be low. The low quality of settlement environment has the potential to cause Acute Respiratory Infection (ARI). This study aimed to explain the correlation of settlement environmental quality and incidence of ARI disease in Gayamsari Sub-District, Semarang. This research used a quantitative descriptive spatial approach by using remote sensing technique and Geographic Information System (GIS).  The result showed that there is a high and significant correlation between settlement environmental quality and acute respiratory infection (ARI) Incidence, especially happened in Kaligawe and Tambakrejo village.

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