GIS-Based Decision Support System for Safe and Sustainable Building Construction Site in a Mountainous Region

The site selection process for a building entails evaluating a variety of factors with varying degrees of importance or percentage influence. In order to ensure that critical site selection factors are not overlooked, a methodology for calculating a building’s safe site selection must be developed. The study identified three broad aspects widely considered in site selection, namely environmental, physical, and socioeconomic criteria. To assess the safest site selection of residential building construction for sustainable urban growth, we used GIS-based multi-criteria decision-making approach that combined Fuzzy-AHP and weighted linear combination (WLC) aggregation method used to calculate the SSPZ. The final safe site suitability map was generated by aggregating all aspects such as geophysical, socio-economic and Geo-environmental thematic layers and their associated Fuzzy-AHP weights using the weighted linear combination method. The sites potential index’s mean value of 0.513 with standard deviation of 0.340, minimum and maximum GeoPhySSSI are 0.0 and 0.91, respectively, SSS index is classified into zones by histogram profile using natural breaks (jenks)” Subsequently, safe sites identified and divided into six classes namely no construction, very low suitable site low suitable site, moderate suitable site, high suitable site, and very high suitable site.“ According to the statistical analysis, 3.64% and 32.12% of the total area were under very high and high SSSZ, while 26.40% and 6.22% accounted to the moderate and low suitable potential, respectively” Our findings suggest that integrating the fuzzy collection with AHP is highly desirable in terms of alternative and decision-making effectiveness. The study reveals that the areas of high and moderate suitability are located near existing habitant area, major roads, and educational and health services; they are not located in restricted/protected areas or are vulnerable to natural hazards. The findings indicate that unsuitable and less-suitable land uses such as vegetation, protected areas, and agriculture lands cover nearly one-third area of Abha-Khamis Mushyet regions, implying that using Fuzzy-AHP and GIS techniques will significantly aid in the conservation of the environment. This would significantly mitigate adverse effects on the ecosystem and climate.

GIS-SUPPORTED MAPPING OF SUITABLE PARKING AREAS USING AHP METHOD: THE CASE OF KONYA

The increase in the number of vehicles with the increasing population has caused the problem of parking insufficiency. This problem necessitate situation analysis of existing parking areas and site selection analyses for new parking areas. It is possible to make suitable site selections with spatial analysis supported by Geographic Information System (GIS). In this study, available parking areas in Selçuklu district of Konya province were evaluated and suitable parking areas were determined in line with the needs. The criteria affecting the parking areas site selection were determined and the importance levels of the criteria were detected by using the Analytical Hierarchy Process (AHP) which is one of the Multi-Criteria Decision Making (MCDM) methods. Density analyses were carried out with GIS and suitable parking areas map was produced considering the criteria weights obtained.

Phytoremediation in Sandpit Lake: Aquaponic

Sandpit Lake in Sukabumi area is a suitable site for developing aquaculture. However due to rapid eutrophication only sustainable aquaculture should be applied. We evaluated the ability of lettuce in reducing nutrients from fish culture. This phytoremediation study was carried out using mesocosm, where lettuce as the phytoremediation agent were grown on vegetable floating raft (VFR) together with 25 fish which were grown underneath it and fed by fish feed. We built three sizes of VFR which were 20, 40 and 60% covered the mesocosm surface. The three sizes VFR were the treatment and the 0% covering served as control. Water quality sampling was carried out two times at day zero and day seven of the experiment. We collected temperature, oxygen, nitrogen, and phosphate data and analyzed them using ANOVA. Our result showed the nitrogen increased inside mesocosm meanwhile orthoposphat decreased. But the size of VFR did not give any effect to the water quality parameter change. However descriptively, we found that 40% of VFR was able to slowdown the nutrien TAN increasing and orthoposphat concentration found to be low. Moreover, it resulted in the highest lettuce survival. We recommend using 40% coverage in employing an aquaponic system in sandpit lake.

Evaluating Site Selection Criteria for Marine Cultivation in North Lombok Regency of Indonesia through GADA model

Identifying the requirements for selecting water locations for marine cultivation requires identifying and objectively selecting cultivation locations. The study aims to identify site selection criteria to develop marine cultivation in Indonesia’s North Lombok Regency, followed by their prioritization based on perceived significance. The selection criteria are through extensive review of literature, and are evaluated based on primary data. Grey Absolute Decision Analysis (GADA) model was used to evaluate the criteria. Comparative analysis with the Simple Additive Weighting (SAW) and TOPSIS methods confirmed the soundness of the results obtained through GADA. It was found that oceanographic conditions are most essential criterion for site selection for marine cultivation development. The results are important for marine cultivation businesses looking for suitable site in North Lombok Regency.

Gold nanoparticle–Quercetin composite formulation: A Computational Model Structure

Nanoparticle mediated drug delivery is an emerging area of research now a days. In our present study, we emphasized on the mode of interaction of a widely used drug, Quercetin with frequently worked metallic nanoparticle, Gold (Au). At first five –OH groups have been attached separately with gold atom and energy minimization was performed using Avogadro Software for windows system. From this, we found that the –OH groups present at 7 position of ‘A’ ring, 3’ and 4’ positions of ‘B’ ring are most suitable site for gold atom to bind. In the next level of study, a gold atom has been interacted with two quercetin molecules at a time. The gold atom was attached to –OH group of 7 position of one quercetin molecule and 4’ position of the other. The calculated energy was found to be 482.319 KJ/Mol. Further, gold atoms were interacted with all –OH groups of quercetin molecule at a time to see its stability and the structure was found to have quite stable with an energy level of 218.074 KJ/Mol. Lastly we tried to make a quercetin–gold nanoparticle model structure which mimics the actual nanocomposite synthesized in vitro where one gold atom was interacted with two quercetin molecules and the other –OH groups of quercetin molecules were again attached with gold atoms. This structure possesses energy of 439.880 KJ/Mol. The bond lengths and bond angle of interacting C, O and Au atoms were measured to characterize the complex.

ANALISIS PENGEMBANGAN BUDIDAYA RUMPUT LAUT Gracillaria sp DI KECAMATAN SINJAI TIMUR KABUPATEN SINJAI

Kondisi lingkungan perairan tambak terutama dari aspek kualitas fisika dan kimia perairan sangat menentukan keberhasilan budidaya rumput laut gracilaria sp. Tujuan penelitian ini adalah menganalisis parameter fisika dan kimia air tambak yang mendukung pengembangan budidaya rumput laut dan penentuan lokasi yang sesuai untuk pengembangan budidaya rumput laut ditinjau dari aspek fisika dan kimia air di empat desa/Kelurahan Kecamatan Sinjai Timur Kabupaten Sinjai. Dilaksanakan pada bulan Januari sampai Februari 2016. Teknik analisis dilakukan dengan menentukan beberapa parameter fisika kimia air sebagai faktor pembatas yang terdiri dari: kecerahan, suhu, kedalaman, salinitas, pH, DO,CO2, fosfat, dan nitrat. Parameter pembatas dalam empat kelas kategori, yaitu kelas sangat sesuai, sesuai, kurang sesuai , dan tidak sesuai. Hasil Penelitian menunjukkan tambak di Kelurahan Samataring, Desa Tongke-tongke, Desa Panaikang, dan Desa Pasimarannu sesuai untuk pengembangan budidaya rumput laut gracillaria sp. Condition pond water environment, especially from the aspect of water quality chemical physics determine the success of seaweed farming gracilaria sp. The purpose of this study was to analyze the physical and chemical parameters of water ponds, which supports the development of seaweed farming and determining a suitable site for the development of seaweed cultivation from the aspect of chemical physics of water in four villages / East Village Sinjai Sinjai district. Conducted in January and February 2016. Technical analysis is done by determining several physical parameters of water chemistry as a limiting factor consisting of: brightness, temperature, depth, salinity, pH, DO, CO2, phosphate, and nitrate. Parameters delimiter in four grade categories, namely class is suitable, appropriate, less appropriate and not appropriate. Research shows ponds in the village of Samataring, Tongke-tongke, Panaikang and pasimarannu appropriate for the cultivation of seaweed gracillaria sp.

Suitable Site Selection for Urban Solid Waste Disposal and Location Allocation Of Waste Collection Bin By Using Geographic Information Systems, In Case Of Nekemte Town

The problem of environmental pollution and health hazards due to inappropriate solid waste disposal is critical in developing countries like Ethiopia, Nekemte town is one of the town in Ethiopia facing from environmental pollution due to lack of appropriate dumping site which leads pollution of surface and ground water and environment in and around dumping area. Therefore, the main objective of this study is selection of suitable site for disposal of solid waste using Geographic Information System (GIS) tools. Selection of the most suitable landfill site was determined through the integration of geographic information system (GIS) tools, multi criteria decision analysis and remote sensing techniques. To select suitable landfill site several parameters were considered such as slope, built up area, , road, surface water, land use/land cover, geology and soil. After analysis of suitability of solid waste disposal site using GIS tools and weighted analysis methods selected 36 areas for medium solid waste Bins. Suitability map was prepared by overlay analyses on GIS based Weighted Linear Combination analysis to select the suitable solid waste disposal sites and assigned as the value given 1; unsuitable, 2; less suitable, 3; moderately suitable ; 4; Suitable and 4; highly suitable were determined. Using this method selected 2 highly suitable areas for land fill and inclination area