scholarly journals Suitability Evaluation of Shallow Geothermal Energy on Analytic Hierarchy Process—As an Example in the Central Urban Area of Lanzhou City

2016 ◽  
Vol 06 (05) ◽  
pp. 412-421
Author(s):  
林森 魏
Keyword(s):  
Analytic Hierarchy Process ◽  
Urban Area ◽  
Geothermal Energy ◽  
Analytic Hierarchy ◽  
Suitability Evaluation ◽  
Lanzhou City ◽  
Shallow Geothermal Energy ◽  
Hierarchy Process

scholarly journals Optimizing the Analytic Hierarchy Process through a Suitability Evaluation of Underground Space Development in Tonghu District, Huizhou City

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 742 ◽  
Author(s):  
Xiaobo Zhang ◽  
Chengshan Wang ◽  
Jie Fan ◽  
Huijun Wang ◽  
Hailong Li
Keyword(s):  
Natural Resources ◽  
Analytic Hierarchy Process ◽  
Underground Space ◽  
Analytic Hierarchy ◽  
Suitability Evaluation ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Underground space has been recognized as one of the few underdeveloped natural resources that humans have owned thus far [...]

scholarly journals Evaluating Climate Change Mitigation Options in the Philippines with Analytic Hierarchy Process (AHP)

2013 ◽  
Vol 13 (1) ◽  
pp. 61
Author(s):  
Michael Angelo B. Promentilla ◽  
Carla Angeline M. De la Cruz ◽  
Katrina C. Angeles ◽  
Kathrina G. Tan
Keyword(s):  
Climate Change ◽  
Solar Energy ◽  
Analytic Hierarchy Process ◽  
Geothermal Energy ◽  
Nuclear Energy ◽  
Economic Viability ◽  
Social Acceptability ◽  
Analytic Hierarchy ◽  
Environmental Effectiveness ◽  
Hierarchy Process

The environmental problem of climate change is an issue that needs to be addressed worldwide. As the electricity-generating power sector is the largest contributor of CO2 in the country, low-carbon technologies or sustainable energy systems are being considered as viable alternatives to reduce the CO2 emissions from this sector. These are fossil-based power plants with carbon capture and storage (F-CCS) technology, nuclear energy (NE) and renewable energy (RE) technologies, particularly solar energy (SE), wind energy (WE), hydroelectricity (HE), geothermal energy (GE) and biomass (BE). However, successful implementation of any of these CCMOs depends not only on the technical and economic aspect but also the socio-political aspect of the project. This study therefore proposes an analytical decision modeling framework to evaluate these options by incorporating the subjective judgment of stakeholders. The Analytic Hierarchy Process (AHP) was used to structure the problem and quantify the relative preference of each option with respect to four criteria namely environmental effectiveness (EE), economic viability (EV), technical implementability (TI), and social acceptability (SA).Results from the decision model indicate that the most important criterion is environmental effectiveness, and the least important is social acceptability. With respect to environmental effectiveness, their most preferred CCMO was solar energy whereas their least preferred is nuclear energy mainly because of the risk posed by the generated nuclear wastes. With respect to economic viability, their most preferred CCMO was geothermal energy, and the least preferred was nuclear energy. With respect to technical implementability, the respondents gave the highest preference weight on geothermal energy and the least preferred is nuclear energy. With respect to social acceptability, the most preferred was wind energy and again, the least preferred was nuclear energy.

scholarly journals Applicability of Fuzzy and Fuzzy Analytic Hierarchy Process (Fuzzy AHP) Methods to Determine the Optimum Soil Depth in Land Suitability Evaluation for Irrigated Rice

2021 ◽  
Vol 54 (1) ◽  
pp. 103
Author(s):  
Nafiseh Yaghmaeian Mahabadi ◽  
Shahram Mahmoud Soltani
Keyword(s):  
Analytic Hierarchy Process ◽  
Soil Depth ◽  
Fuzzy Ahp ◽  
Land Suitability ◽  
Analytic Hierarchy ◽  
Irrigated Rice ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Fuzzy Methods ◽  
Hierarchy Process

<p>The conventional Boolean logic models of land suitability assessment disregard the continuity concepts of the soil and landscape which might cause inaccurate evaluation and classification. To overcome this uncertainty and consequent constraints, the fuzzy set theories were introduced. Therefore, the current study was undertaken to estimate the optimum soil depth that is used in land suitability evaluation for irrigated rice through the fuzzy sets theory and analytic hierarchy process (fuzzy AHP) in Guilan Province, Iran. The square root and quantitative land suitability evaluation methods were employed to calculate traditional land suitability indices (for depths, 0-25, 0-50, 0-75, and 0-100 cm). Also, fuzzy and fuzzy AHP methods were used to explore new land indices. The Sarma similarity indices were used to compare the results of traditional and fuzzy methods for different soil depths. The results showed that the compatibility percentage between the representative pedons (0-100 cm) and the findings of this research (0-50 and 0-75 cm) were remarkable. Furthermore, the highest compatibility percentage of land suitability class was related to the comparison of these two former depths and 0 to 100 cm depths in each of the two used fuzzy methods. Besides, except for 0-25 cm depths, actual yield revealed a significant and positive correlation with the rest three soil pedon depths. These findings show that considering 0 to 50 cm soil depth might be a relevant alternative as the optimal depth to evaluate land suitability for rice in paddy fields in the Guilan rice-growing area. </p>

scholarly journals LAND SUITABILITY EVALUATION USING GIS FOR VEGETABLE CROPS AT SHARADANAGAR, CHITWAN, NEPAL

2020 ◽  
Vol 1 (1) ◽  
pp. 42-46
Author(s):  
D. M. Thapa ◽  
C.P. Shrivastav ◽  
S.C. Shah ◽  
K. Sah
Keyword(s):  
Information System ◽  
Analytic Hierarchy Process ◽  
Land Suitability ◽  
Geographical Information ◽  
Vegetable Crops ◽  
Gis Technology ◽  
Analytic Hierarchy ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Hierarchy Process

The present research was conducted at Chitwan district of Sharadanagar to evaluate land suitability integrating with Geographical Information System (GIS) technology-incorporates the multi criteria evaluations (MCE) and analytic hierarchy process (AHP) in 2014.

Sign in / Sign up

Export Citation Format

Share Document