Academic literature on the topic 'Deep peat'
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Journal articles on the topic "Deep peat"
Zuhdi, Mohd, M. Edi Armanto, Dedi Setiabudidaya, and Ngudiantoro. "Performing Spatial Variabilityof Peat Depth by Using Geostatistics." E3S Web of Conferences 68 (2018): 04021. http://dx.doi.org/10.1051/e3sconf/20186804021.
Full textSajarwan, Akhmat, Adi Jaya, and Irwan Sukri Banuwa. "Water Retention and Saturation Degree of Peat Soil in Sebangau Catchment Area, Central Kalimantan." JOURNAL OF TROPICAL SOILS 26, no. 1 (January 21, 2021): 29. http://dx.doi.org/10.5400/jts.2021.v26i1.29-42.
Full textWaldron, Susan, Allan J. Hall, and Anthony E. Fallick. "Enigmatic stable isotope dynamics of deep peat methane." Global Biogeochemical Cycles 13, no. 1 (March 1999): 93–100. http://dx.doi.org/10.1029/1998gb900002.
Full textHolden, J., and T. P. Burt. "Piping and pipeflow in a deep peat catchment." CATENA 48, no. 3 (June 2002): 163–99. http://dx.doi.org/10.1016/s0341-8162(01)00189-8.
Full textYakonovskaya, T. B., A. I. Zhigulskaya, and P. A. Yakonovsky. "Assessment of applying VLF geophysical method to determine the peat deposit thickness." Gornye nauki i tekhnologii = Mining Science and Technology (Russia) 5, no. 3 (October 19, 2020): 224–34. http://dx.doi.org/10.17073/2500-0632-2020-3-224-234.
Full textSuryanto, S., and K. Lambert. "AMELIORATION OF TROPICAL DEEP PEAT FOR LOWLAND VEGETABLE PRODUCTION1)." Acta Horticulturae, no. 369 (September 1994): 455–68. http://dx.doi.org/10.17660/actahortic.1994.369.50.
Full textCao, Xiuling, Muci Yue, Haiyan Xu, Song Chen, Yongkang Hou, and Xingkuo Wang. "The Technology and Application of Improving Bearing Capacity of Deep Peat Soil Subgrade." E3S Web of Conferences 272 (2021): 01010. http://dx.doi.org/10.1051/e3sconf/202127201010.
Full textFerdous, F., M. R. Rafiq, and M. I. Mahmud. "Aquifer Geometry and Water Quality in Relation to Occurrence and Distribution of Peat in Baghia-Chanda Beel, Bangladesh." Journal of Scientific Research 8, no. 3 (September 1, 2016): 355–70. http://dx.doi.org/10.3329/jsr.v8i3.25360.
Full textKazemian, Sina, Arun Prasad, Vahed Ghiasi, and Bujang Bin Kim Huat. "Effect of Cement on Compressibility and Microstructure of Tropical Peat." Advanced Materials Research 261-263 (May 2011): 33–37. http://dx.doi.org/10.4028/www.scientific.net/amr.261-263.33.
Full textKhairizal, Sisca Vaulina, and Hajry Arief Wahyudy. "ANALISIS FAKTOR YANG MEMPENGARUHI PRODUKSI KELAPA DALAM (Cocos nucifera Linn) PADA LAHAN GAMBUT DAN LAHAN MINERAL DI KABUPATEN INDRAGIRI HILIR PROVINSI RIAU." DINAMIKA PERTANIAN 34, no. 3 (August 5, 2020): 191–200. http://dx.doi.org/10.25299/dp.2018.vol34(3).5410.
Full textDissertations / Theses on the topic "Deep peat"
Zakaria, Salmah. "Water management in deep peat soils in Malaysia." Thesis, Cranfield University, 1992. http://dspace.lib.cranfield.ac.uk/handle/1826/7744.
Full textBennett, Michael Dever. "Effect of Concentration of Sphagnum Peat Moss on Strength of Binder-Treated Soil." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/93210.
Full textMaster of Science
Organic soils are formed continuously as matter from deceased organisms – mainly plants – is deposited in wet environs and decomposes. Organic soils are most commonly found in swamps, marshes, and coastal areas. These soils make poor foundation materials due to their low strengths. Deep mixing, or soil mixing, involves introducing a binder like Portland cement or lime into soil and blending the soil and binder together to form columns or blocks. Upon mixing, cementitious reactions occur, and the soil-binder mixture gains strength as it cures. Deep mixing may be performed using either a dry binder, known as dry mixing, or a binder-water slurry, referred to as wet mixing. Deep mixing may be used to treat either inorganic or organic soils to depths of 30 meters or greater. Contractor experience has shown that deep mixing is one of the most effective methods of improving the strength of organic soils. Lab-scale studies (by previous researchers) of wet mixing of inorganic soils have found that the strength of soil-binder mixtures can be expressed as a function of mixture curing time and curing temperature, as well as the quantity of binder used, or binder factor, and the consistency of the binder slurry. No corresponding expression has been generated for wet mixing of organic soils, although many studies on the subject have been performed by previous researchers. The goal of this research was to generate such an expression for one organic soil. The soil used was made of sphagnum peat moss, an organic material commonly found in nature, and an inorganic clay used by previous researchers in studies of deep mixing in inorganic soils. The binder used in this research was a Portland cement. For this research, 43 unique soil-binder mixtures were manufactured. Each mixture involved a unique combination of soil organic matter content, binder factor, and binder slurry consistency. After a soil-binder mixture was made, it was divided, placed into cylindrical molds, and allowed to cure. The temperature of the curing environment of the mixture was monitored. Mixture compressive strength was assessed after 7, 14, and 28 days of curing using two cylindrically molded specimens of the mixture. Data on mixture strength was then evaluated to assess whether it could be expressed as a function of the variables tested. iv This research determined that the strength of at least some organic soils improved with wet mixing can be expressed as a function of soil organic matter content, binder factor, binder slurry consistency, and mixture curing time and curing temperature. The function will likely prove useful to deep mixing contractors, who routinely perform lab-scale deep mixing trials on samples of the soils to be improved in the field. Assuming wet mixing is used, the results of the trials are used to select values of binder factor and binder slurry consistency for the project. The function generated from this research will allow deep mixing contractors to select these values more reliably during the lab-scale phase of their work.
Kakei, Mahdi. "Effects of lime application on fine-root development of Sitka spruce (Picea sitchesis (Bougard) carrie) trees grown on deep peat soils." Thesis, Queen's University Belfast, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295396.
Full textJob, Nancy Merle. "Geomorphic origin and dynamics of deep, peat-filled, valley bottom wetlands dominated by palmiet (Prionium serratum) : a case study based on the Goukou Wetland, Western Cape." Thesis, Rhodes University, 2014. http://hdl.handle.net/10962/d1013122.
Full textCunningham, Dustin T. "Fusion of Multimodal Neuroimaging for Deep Brain Stimulation Studies." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1337895443.
Full textXu, Lina [Verfasser]. "Analyzing Tumor Lesions in PET/CT Images Using Deep Learning Methods and Physiological Models / Lina Xu." München : Verlag Dr. Hut, 2019. http://d-nb.info/1181514266/34.
Full textPllashniku, Edlir, and Zolal Stanikzai. "Normalization of Deep and Shallow CNNs tasked with Medical 3D PET-scans : Analysis of technique applicability." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-45521.
Full textBaydoun, Atallah. "FDG-PET/MR for Cervical Cancer Staging and Radiation Therapy Planning: A Novel, Deep Learning-based Approach." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1594844980840027.
Full textMercer, John A. (John Andrew). "Reliability of a Graded Exercise Test During Deep Water Running and Comparison of Peak Metabolic Responses to Treadmill Running." Thesis, University of North Texas, 1994. https://digital.library.unt.edu/ark:/67531/metadc501238/.
Full textVan, der Bijl Johannes. "Sustainable DSM on deep mine refrigeration systems : a novel approach / J. van der Bijl." Thesis, North-West University, 2007. http://hdl.handle.net/10394/1940.
Full textBooks on the topic "Deep peat"
Deer-resistant landscaping: Proven advice and strategies for outwitting deer and 20 other pesky mammals. Emmaus, Pa: Rodale, 2009.
Find full textPoe, Rhonda Hart. Deer proofing your yard & garden. Pownal, Vt: Storey Communications, 1997.
Find full textAlan, Detrick, ed. 50 beautiful deer-resistant plants: The prettiest annuals, perennials, bulbs, and shrubs that deer don't eat. Portland, Or: Timber Press, 2011.
Find full textPoe, Rhonda Hart. Deerproofing your yard & garden. 2nd ed. North Adams, MA: Storey Pub., 2005.
Find full textGrigor'ev, Leonid, Igor' Makarov, Aleksandr Kurdin, Sergey Bobylev, Aleksandr Golyashev, Evsey Gurvich, Aleksey Ivaschenko, et al. The world economy in a period of great turmoil. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1858585.
Full textMing you li, ping guo gao chan zai pei ji shu. [Beijing]: Zhongguo ren shi chu ban she, 1996.
Find full textPīku pafōmansu boiyanshī manyuaru: Peak performance buoyancy manual. Tōkyō: PADI Japan, 2012.
Find full textWildflowers of the Tahoe Sierra: From Forest Deep to Mountain Peak. Lone Pine Publishing, 1997.
Find full textWynter, Lara, and Julie L. Spencer. Opening Act : Buxton Peak Meets Infusion Deep: Almost a Rock Star. Independently Published, 2019.
Find full textSkin Deep: Natural Recipes for Healthy Skin and Hair. Camden House, 1994.
Find full textBook chapters on the topic "Deep peat"
Webb, D. L. "Performance of a high road embankment over a deep zone of peat." In Geotechnics for Developing Africa, 675–82. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003211174-91.
Full textGlaser, Paul H., and Jeffrey P. Chanton. "Methane Accumulation and Release from Deep Peat: Measurements, Conceptual Models, and Biogeochemical Significance." In Carbon Cycling in Northern Peatlands, 145–58. Washington, D. C.: American Geophysical Union, 2013. http://dx.doi.org/10.1029/2008gm000840.
Full textCatling, David. "Pest Management." In Rice in Deep Water, 417–48. London: Palgrave Macmillan UK, 1992. http://dx.doi.org/10.1007/978-1-349-12309-4_27.
Full textNandhini, C., and M. Brindha. "Deep Learning Solutions for Pest Detection." In Object Detection with Deep Learning Models, 179–98. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003206736-10.
Full textMorimoto, Junko, Susumu Goto, Akito Kuroyanagi, Motoko Toyoshima, and Yuichiro Shida. "Natural Succession of Wetland Vegetation in a Flood-Control Pond Constructed on Abandoned Farmland." In Ecological Research Monographs, 209–24. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6791-6_13.
Full textPatel, Ashay, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Gary Cook, Vicky Goh, Sebastien Ourselin, and M. Jorge Cardoso. "Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection." In Deep Generative Models, 14–23. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-18576-2_2.
Full textAleklett, Kjell. "Oil from Deep Water: The Tail End of Extraction." In Peeking at Peak Oil, 149–68. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3424-5_12.
Full textVyas, Monika, Amit Kumar, and Vivek Sharma. "Deep Learning Solutions for Pest Identification in Agriculture." In Object Detection with Deep Learning Models, 199–214. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003206736-11.
Full textDuan, Yulin, Dandan Li, and Chongke Bi. "Deep Learning Based Pest Identification on Mobile." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 123–28. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49610-4_10.
Full textEnglish, A. W. "The status and management of wild deer in Australia." In Pest or Guest, 94–98. P.O. Box 20, Mosman NSW 2088, Australia: Royal Zoological Society of New South Wales, 2007. http://dx.doi.org/10.7882/fs.2007.014.
Full textConference papers on the topic "Deep peat"
Al-Omari, Raid, Mohammed Fattah, and Mudhafar Hameedi. "Creep Characteristics of Organic Soft Clay Soil Using Large–Scale Model." In INTERNATIONAL CONFERENCE ON ARCHITECTURAL AND CIVIL ENGINEERING 2020. Cihan University-Erbil, 2021. http://dx.doi.org/10.24086/aces2020/paper.254.
Full textМакарова, Т. Р. "CHANGES OF THE HUMIDIFICATION OF VALLEY PEAT BAGS R.BOLSHAYA USSURKA (PRIMORYE) BY THE DATA OF THE DIATOMIC ANALYSIS." In Геосистемы Северо-Восточной Азии. Crossref, 2021. http://dx.doi.org/10.35735/tig.2021.69.14.022.
Full textLazdins, Andis, Aldis Butlers, and Ritvars Ancans. "Nitrous oxide (N2O) and methane (CH4) fluxes from tree stems in birch and black alder stands - a case study in forests with deep peat soils." In 21st International Scientific Conference Engineering for Rural Development. Latvia University of Life Sciences and Technologies, Faculty of Engineering, 2022. http://dx.doi.org/10.22616/erdev.2022.21.tf229.
Full textCáceres, Cristian, and Rimas Pakalnis. "Peak particle velocity and frequency spectrum for different rock mass qualities – case studies." In Fifth International Seminar on Deep and High Stress Mining. Australian Centre for Geomechanics, Perth, 2010. http://dx.doi.org/10.36487/acg_repo/1074_12.
Full textYu, Xianghua, Feng Gao, and Guangqian Ding. "Deep Learning Based Transient Stability Assessment for Grid-Connected Inverter." In 2018 IEEE International Power Electronics and Application Conference and Exposition (PEAC). IEEE, 2018. http://dx.doi.org/10.1109/peac.2018.8590332.
Full textLi, Shuaifeng, Heng Wang, Jie Liu, Xiaoyu Huang, and Xiaoling Chen. "Improved varifocal net: a deep learning approach for rice pest detection." In International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), edited by Sandeep Saxena. SPIE, 2022. http://dx.doi.org/10.1117/12.2640722.
Full textBibi, Anam, Momina Moetesum, and Imran Siddiqi. "Deep Vision for Pest Detection in Corn Fields." In 2022 19th International Bhurban Conference on Applied Sciences and Technology (IBCAST). IEEE, 2022. http://dx.doi.org/10.1109/ibcast54850.2022.9990435.
Full textLei, Yang, Xue Dong, Tonghe Wang, Kristin Higgins, Tian Liu, Walter J. Curran, Hui Mao, Jonathan A. Nye, and Xiaofeng Yang. "Estimating standard-dose PET from low-dose PET with deep learning." In Image Processing, edited by Bennett A. Landman and Ivana Išgum. SPIE, 2020. http://dx.doi.org/10.1117/12.2548461.
Full textGong, Kuang, Jiahui Guan, Chih-Chieh Liu, and Jinyi Qi. "PET Image Denoising Using Deep Neural Network." In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, 2017. http://dx.doi.org/10.1109/nssmic.2017.8532782.
Full textQian, Hua, Xue Rui, and Sangtae Ahn. "Deep Learning Models for PET Scatter Estimations." In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, 2017. http://dx.doi.org/10.1109/nssmic.2017.8533103.
Full textReports on the topic "Deep peat"
Wells, Beric, Scott Cooley, and Joseph Meacham. Prediction of Peak Hydrogen Concentrations for Deep Sludge Retrieval in Tanks AN-101 and AN-106 from Historical Data of Spontaneous Gas Release Events. Office of Scientific and Technical Information (OSTI), October 2013. http://dx.doi.org/10.2172/1148634.
Full textMohammadian, Abolfazl, Amir Bahador Parsa, Homa Taghipour, Amir Davatgari, and Motahare Mohammadi. Best Practice Operation of Reversible Express Lanes for the Kennedy Expressway. Illinois Center for Transportation, September 2021. http://dx.doi.org/10.36501/0197-9191/21-033.
Full textMorin, Shai, Gregory Walker, Linda Walling, and Asaph Aharoni. Identifying Arabidopsis thaliana Defense Genes to Phloem-feeding Insects. United States Department of Agriculture, February 2013. http://dx.doi.org/10.32747/2013.7699836.bard.
Full textGattenhof, Sandra, Donna Hancox, Sasha Mackay, Kathryn Kelly, Te Oti Rakena, and Gabriela Baron. Valuing the Arts in Australia and Aotearoa New Zealand. Queensland University of Technology, December 2022. http://dx.doi.org/10.5204/rep.eprints.227800.
Full textPotential for deep basin-centered gas accumulation in Travis Peak (Hosston) Formation, Gulf Coastal Basin. US Geological Survey, 2003. http://dx.doi.org/10.3133/b2184e.
Full textEvaluating the impacts of white-tailed deer (Odocoileus virginianus) on vegetation within Pea Ridge National Military Park. US Geological Survey, 2005. http://dx.doi.org/10.3133/93811.
Full text