Wszystkie pola: GIS application - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Land Surface Temperature in Response to Land Use/Cover Change Based on Remote Sensing Data and GIS Techniques: Application to Saïss Plain, Morocco
Autorzy:: El Garouani, Manal
Amyay, Mhamed
Lahrach, Abderrahim
Oulidi, Hassane Jarar
Powiązania:: https://bibliotekanauki.pl/articles/1955393.pdf
Data publikacji:: 2021
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: land surface temperature
land use
land cover
NDVI
landsat image
saïss plain
Morocco
Opis:: In order to analyze the impact of land use and land cover change on land surface temperature (LST), remote sensing is the most appropriate tool. Land use/cover change has been confirmed to have a significant impact on climate through various aspects that modulate LST and precipitation. However, there are no studies which illustrate this link in the Fez-Meknes region using satellite observations. Thus, the aim of this study was to monitor LST as a function of the land use change in the Saïss plain. In the study, 12 Landsat images of the year 2019 (one image per month) were used to represent the variation of LST during the year, and 2 images per year in 1988, 1999 and 2009 to study the interannual variation in LST. The mapping results showed that the land use/cover in the region has undergone a significant evolution; an increase in the arboriculture and urbanized areas to detriment of arable lands and rangelands. On the basis of statistical analyses, LST varies during the phases of plant growth in all seasons and that it is diversified due to the positional influence of land use type. The relationship between LST and NDVI shows a negative correlation (LST decreases when NDVI increases). This explains the increase in LST in rangelands and arable land, while it decreases in irrigated crops and arboriculture.
Źródło:: Journal of Ecological Engineering; 2021, 22, 7; 100-112
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Application of AHP-GIS Model to Assess the Ecological Suitability of Codonopsis javanica in Kon Plong District, Kon Tum Province, Viet Nam
Autorzy:: Tri, Chu Luong
Tuan, Tran Anh
Kiem, Truong Ngoc
Powiązania:: https://bibliotekanauki.pl/articles/2173290.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: Codonopsis javanica
AHP
analytic hierarchy process
GIS
ecological adaptation
Kon Plong
Opis:: The Kon Plong district is located in the northeast area of the Kon Tum province, where ethnic people, such as Xo Dang and Hre, are dominant. With the portion of the poor families accounting for more than 50% of the total households, the improvement in the livelihood of ethnic is an emergency. Among the approaches to enhance the economical situation in the mountainous area like Kon Plong, the sustainable utilization of natural resources to produce valuable products is a possibility. The Codonopsis javanica (Blume) Hook.f. & Thomson (native name in the Vietnamese language is Dang Sam) is a precious medicinal plant with many benefits in pharmacological uses for human health. In nature, C. javanica is favorably distributed in the template climate and high mountain area. On the basis of the multi-criteria analysis using AHP (Analytic Hierarchy Process) integrated GIS, the influence of climate factors and soil features in the Kon Plong district on the growth of C. javanica was evaluated. Using AHP evaluation, the four classes of adaptation thresholds (very suitable, suitable, less suitable and not suitable) between the C. javanica growth and climate or soil factors were determined and expressed in weight values. These adaptation values (weight values) were then exported to ecological adaptation maps using the GIS mapping system. The results showed that the most suitable area (called S1 and S2) for the cultivation of C. javanica could be an area of 77 ha, accounting for 55.8% of the study area. The area with high adaptability (S1) for growing C. javanica is mainly located in the Mang Den town and Mang But commune (the south area of the Kon Plong district). These study findings suggested that the growth of C. javanica is suitable in several places in Kon Plong and the production process of C. javanica probably promotes the exploitation of sustainable utilization of local medical plant biomass in the study area.
Źródło:: Journal of Ecological Engineering; 2022, 23, 7; 276--283
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Application of Water Quality Index and Multivariate Statistical Techniques to Assess and Predict of Groundwater Quality with Aid of Geographic Information System
Autorzy:: Dawood, Ammar S.
Jabbar, Mushtak T.
Al-Tameemi, Hayfaa H.
Baer, Eric M.
Powiązania:: https://bibliotekanauki.pl/articles/2105290.pdf
Data publikacji:: 2022
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: cluster analysis
water quality
groundwater
factor analysis
WQI
GIS
multi-layer perceptron
Opis:: In this study, the groundwater quality and spatial distribution of the Basra province in the south of Iraq was assessed and mapped for drinking and irrigation purposes. Groundwater samples (n = 41) were collected from deep wells in the study area to demonstrate, estimate and model the Water Quality Index (WQI). The analysis of water samples integrated with GIS-based IDW technique was used to express the spatial variation in the study area with consideration of WQI. The physicochemical parameters, including pH, sodium (Na+), electrical conductivity (EC), chloride (Cl-), total dissolved solids (TDS), calcium (Ca2+), nitrate (NO3-), sulfate (SO42-), magnesium (Mg2+), and bicarbonate (HCO3-) were identified for groundwater quality assessment. The results of calculated WQI classify groundwater into three sorts. The results of WQI showed that 2.5%, 2.5% and 95% of the groundwater samples were classified as poor/very poor/unsuitable for drinking, respectively. The GIS tools integrated with statistical techniques are utilized for spatial distribution and description of water quality. Correlation analysis of groundwater data revealed that some parameters have actually a relationship that is strong with the other parameters and they share a common source of origin. Multivariate statistical techniques, especially cluster analysis (CA) and factor analysis (FA), were applied for the evaluation of spatial variations of forty-one selected groundwater samples. Cluster analysis confirmed that some different locations of wells have comparable sourced elements of water pollution, whereas factor analysis yielded three factors which are accountable for groundwater quality variations, clarifying more than 72% of the total variance of the data and permitted to group the preferred water quality. MultiLayer Perceptron (MLP) models were applied in modeling the water quality index. Comparing different result values of the MLP network suggested that the values of MSE and r for the selected model are 0.1940 and 0.9998, respectively. Finally, it can be revealed that the MLP network precisely predicted the output, i.e. the WQI values.
Źródło:: Journal of Ecological Engineering; 2022, 23, 6; 189--204
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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