scholarly journals Mapping Climate Classification of Oldeman in Agricultural Resources Management in South Tapanuli District

2021 ◽  
Vol 1156 (1) ◽  
pp. 012002
Author(s):  
Imelda Sari Harahap ◽  
Irwan Zulfikri Matondang ◽  
Suryanto ◽  
Erti Kumala Indah ◽  
Irmalia Fitri
Keyword(s):  
Climate Classification ◽  
Resources Management ◽  
Agricultural Resources

Research of Trusted Network Security Technology

2011 ◽  
Vol 52-54 ◽  
pp. 713-716
Author(s):  
Xiao Ying Gan ◽  
Bin Liu
Keyword(s):  
Data Transmission ◽  
Network Access ◽  
End User ◽  
Security Technology ◽  
Resources Management ◽  
Integrity Verification ◽  
Reliable Model ◽  
User Data ◽  
Repair Techniques

Based on the TNC architecture, using a trusted network of repair techniques in the trusted network access scenario does not meet the requirements of integrity verification solution for end users. Put forward a credible fix the overall network design, reliable model restoration and repair services, network workflow. The system is in need of restoration to provide safe and reliable repair end-user data transmission, providing a humane, reasonable repair services to ensure the credibility of fixed network and the isolation effect of the terminal to be repaired and strengthened the security of fixed server. Realized the classification of various types of repair resources management, restoration of resources in ensuring the transfer of fast, reliable, based on the performance with a certain extension.

scholarly journals PEMANFAATAN DATA SATELIT TROPICAL RAINFALL MEASURING MISSION (TRMM) UNTUK PEMETAAN ZONA AGROKLIMAT OLDEMAN DI KALIMANTAN SELATAN

2016 ◽  
Vol 12 (3) ◽  
pp. 267 ◽  
Author(s):  
Riza Arian Noor ◽  
Muhammad Ruslan ◽  
Gusti Rusmayadi ◽  
Badaruddin Badaruddin
Keyword(s):  
Satellite Data ◽  
Tropical Rainfall Measuring Mission ◽  
Data Availability ◽  
Observation Data ◽  
Resources Management ◽  
Agricultural Resources ◽  
Monthly Average ◽  
Surface Rainfall ◽  
Calculation Results ◽  
Arc Gis

The irregularity of observation sites distribution and network density, lack data availability and discontinuity are the obstacles to analyzing and producing the information of agroclimate zone in South Kalimantan. TRMM satellite needs to be researched to overcome the limitations of surface observation data. This study intended to validate TRMM 3B43 satellite data with surface rainfall, to produce Oldeman agroclimate zone based on TRMM satellite data and to analyze the agroclimate zone for agricultural resources management. Data validation is done using the statistical method by analyzing the correlation value (r) and RMSE (Root Mean Square Error). The agroclimate zone is classified based on Oldeman climate classification type. The calculation results are mapped spatially using Arc GIS 10.2 software. The validation result of the TRMM satellite and surface rainfall data shows a high correlation value for the monthly average. The value of correlation coefficient is 0,97 and 25 mm for RMSE value. Oldeman agroclimate zone based on TRMM satellite data in south Kalimantan is divided into five climate zones, such as B1, B2, C1, C2, and D1.

Classification of El Niño and La Niña years for water resources management in Alberta

2018 ◽  
Vol 45 (12) ◽  
pp. 1093-1098
Author(s):  
Zahidul Islam
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
El Niño ◽  
El Nino ◽  
Southern Oscillation ◽  
La Niña ◽  
Simple Method ◽  
Resources Management ◽  
La Nina

Classification of El Niño and La Niña years in a historical time period is necessary to analyze their impacts on hydrology and water resources management. In this study, various El Niño-Southern Oscillation (ENSO) indices, and how they are used to classify El Niño or La Niña years have been reviewed. Based on the review, a simple method of classifying El Niño or La Niña years has been proposed.

scholarly journals Climate classification of Asian university forests under current and future climate

2020 ◽  
Vol 25 (3) ◽  
pp. 136-146
Author(s):  
Yen-Jen Lai ◽  
Nobuaki Tanaka ◽  
Sangjun Im ◽  
Koichiro Kuraji ◽  
Chatchai Tantasirin ◽  
...  
Keyword(s):  
Future Climate ◽  
Climate Classification

SWARM: Sensor driven Water and Agricultural Resources Management

2006 ◽  
Author(s):  
Chitra Babu ◽  
Naren Athmaraman ◽  
Archana Ganesan ◽  
Srivathsan Soundararajan ◽  
Rama Muthukumar
Keyword(s):  
Resources Management ◽  
Agricultural Resources

Objective climate classification of Slovenia

2017 ◽  
Vol 37 ◽  
pp. 848-860 ◽  
Author(s):  
Katja Kozjek ◽  
Mojca Dolinar ◽  
Gregor Skok
Keyword(s):  
Climate Classification

scholarly journals Regularities in species niches reveal the World’s climatic regions

2019 ◽  
Author(s):  
Joaquín Calatayud ◽  
Magnus Neuman ◽  
Alexis Rojas ◽  
Anton Eriksson ◽  
Martin Rosvall
Keyword(s):  
Conservation Planning ◽  
Geographical Information ◽  
Climate Classification ◽  
Climatic Regions ◽  
Evolutionary Studies

Although classifications of the Earth’s climates date back to the ancient Greeks, the climatic regions shaping the distribution of animals remain poorly resolved. Here we present a classification of global climates based on regularities in realised niches of 3657 amphibians, 7204 reptiles, 10684 birds and 4574 mammals. We found 16 main climatic regions that are mostly consistent across groups and previous plant expert-based classifications, confirming the existence of major climatic restrictions for life. The results also suggest that differences among groups likely relate to their particular adaptations and dispersal capabilities. We further show how the integration of species niche classifications with geographical information provides valuable information on potential mechanisms shaping the climatic regions. Our climate classification has applications in several disciplines, including conservation planning and ecological and evolutionary studies.

scholarly journals Analisis Stakeholders dalam Pengelolaan Sumber Daya Arkeologi di Kota Cina, Medan.

AMERTA ◽  
2016 ◽  
Vol 34 (1) ◽  
pp. 65 ◽  
Author(s):  
Stanov Purnawibowo ◽  
Lucas Partanda Koestoro
Keyword(s):  
Land Use ◽  
Conflict Management ◽  
Conflict Analysis ◽  
Archaeological Remains ◽  
Resources Management ◽  
General Overview ◽  
Land Owners ◽  
Mutual Agreement

Analisis stakeholders bertujuan untuk mengetahui potensi dan kebijakan pengelolaan konflik antarpemangku kepentingan di kawasan Kota Cina, Medan. Metode yang digunakan berupa mengklasifikasikan sejumlah isu yang terkait dengan pengelolaan tinggalan arkeologis di Kota Cina. Isu tersebut memberikan gambaran umum tentang potensi konflik yang terjadi di Kota Cina. Potensi konflik itu selanjutnya dianalisis dengan menggunakan salah satu alat analisis konflik, yaituanalisis bawang bombay. Hasil analisis menunjukkan adanya kesamaan kebutuhan yang menjadi simpul konflik, yaitu penggunaan lahan. Pengelolaan konflik yang baik untuk jangka panjang dalam proses pengelolaan Kota Cina adalah dengan negosiasi. Negosiasi dapat berupa musyawarah untukmenemukan kesepakatan bersama yang mampu mengakomodasi para pemangku kepentingan. Kesepakatan tersebut terkait dengan pemberdayaan warga masyarakat di sekitar Kota Cina, khususnya para pemilik lahan, dalam mewujudkan sikap positif dan kesadaran mereka terhadap pelestarian sumber daya arkeologis di Kota Cina. Abstract. Stakeholders Analysis in the Archaeological Resources Management at Kota Cina, Medan. Stakeholders analysis aims to determine the policies and potencies of conflict management among stakeholders in Kota Cina. The method used is classification of the issues related to the management of archaeological remains in Kota Cina. These issues provide a general overview of the potential conflicts that occurred in Kota Cina. The potential conflicts are then analyzed using one of the tools of conflict analysis, namely “onion analysis”. The analysis shows similarity of need that inflictsconflict, which is land use. Better conflict management for the long term is to negotiate. Negotiations can be formed as a forum of discussion to reach a mutual agreement that can accommodate the stakeholders’ interests. Mutual agreement is linked to the empowerment of communities around Kota Cina, especially the land owners, to create awareness in preserving the archaeological resources in Kota Cina.

scholarly journals Thornthwaite climate classification of TurkeyTürkiye Thornthwaite iklim sınıflandırması

2016 ◽  
Vol 13 (3) ◽  
pp. 3973 ◽  
Author(s):  
Erkan Yılmaz ◽  
İhsan Çiçek
Keyword(s):  
Large Scale ◽  
Potential Evaporation ◽  
Grid Data ◽  
Climate Classification ◽  
Environmental Media ◽  
Monthly Average ◽  
Topographical Effects ◽  
Average Precipitation ◽  
Effectiveness Index

It is possible to see different climatic types together in Turkey having very different habitats, ecosystems and environmental media by the mathematical and special position where it is located in. The creation of large-scale weather maps and databases to reflect this diversity is necessary for the clarification of the elements that are affected by this diversity. This diversity could not be reflected sufficiently due to the reason that the weather maps which have been created so far today are not large-scale. In this study, it is aimed to create a map and a database concerning Turkey, which is detailed, in which the topographical effects are reflected, which shows the ecosystem differences and which is digitally accessible. For this purpose, the Thornthwaite climate classification in which the sub-climatic types can be digitally separated was preferred. First of all, the monthly average precipitation and temperature data were arranged at 805.000 points of Turkey and then this data was analyzed according to the Thornthwaite climate classification method. The results obtained were submitted as grid data at the resolution of 1 km in 4 different categories and an integrated climate class map by the combination of them. According to the results of the analysis, it was determined that there are 8 different precipitation effectiveness index classes, 8 different temperature effect index classes, 6 different drought and moistness index classes and 8 different potential evaporation index classes in Turkey. It was seen that the number of the integrated index classes created by the combination of them is 233. Accordingly, it is possible to say that there are 233 different environmental conditions in Turkey. ÖzetBulunduğu matematiksel ve özel konum itibariyle çok farklı habitat, ekosistem ve çevresel ortam barındıran Türkiye’de farklı iklim tiplerini bir arada görmek mümkündür. Bu çeşitliliği yansıtacak büyük ölçekli iklim haritalarının ve veri tabanlarının oluşturulması, bu çeşitlilikten etkilenen ögelerin açıklanması için gereklidir. Günümüze kadar yapılan iklim haritalarının büyük ölçekli olmamaları nedeniyle bu çeşitlilik yeteri kadar yansıtılamamıştır. Bu çalışmada, Türkiye’ye ait ayrıntılı, topografik etkilerin yansıtıldığı, ekosistem farklılıklarını gösteren ve sayısal olarak ulaşılabilecek bir harita, veri tabanını üretmek amaçlanmıştır. Bu amaçla, alt iklim tiplerinin sayısal olarak ayrılabildiği Thornthwaite iklim sınıflandırması tercih edilmiştir. Önce, Türkiye’de 805.000 noktasında aylık ortalama yağış ve sıcaklık verileri düzenlenmiş, ardından bu veriler Thornthwaite iklim sınıflandırma yöntemine göre analiz edilmiştir. Elde edilen sonuçlar 4 farklı kategoride 1 km çözünürlükte grid verisi olarak sunulmuş ve bunların birleştirilmesi ile tümleşik iklim sınıfı haritası oluşturulmuştur. Analiz sonuçlarına göre Türkiye’de 8 farklı yağış etkinlik indisi, 8 farklı sıcaklık tesiri indisi, 6 farklı kuraklık ve nemlilik indisi ve 8 farklı potansiyel buharlaşma indis sınıfının olduğu belirlenmiştir. Bunların birleştirilmesi ile oluşturulan tümleşik indis sınıflarının ise 233 olduğu görülmüştür. Buna bağlı olarak Türkiye’de 233 farklı çevresel koşul olduğunu söylemek mümkündür.

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