Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Nurdan Gamze, Turan"'
Publikováno v:
Turkish Journal of Agriculture: Food Science and Technology, Vol 5, Iss 7, Pp 732-738 (2017)
Ecological processes that occur in a lake depend on the physico-chemical (abiotic) and biotic factors of the system and the interrelations between them. It can be concluded that the current nutrient loadings from both point and non-point sources are
Externí odkaz:
https://doaj.org/article/ab7777ff440643e0aa74bc37b9e7aa2e
Autor:
Fulya AYDIN TEMEL, Nurdan Gamze TURAN
Publikováno v:
Karadeniz Fen Bilimleri Dergisi. 12:479-491
Bu çalışmada, Giresun ili Merkez ilçede kentsel katı atıkların kompozisyonu incelenmiş ve TÜİK tarafından sunulan miktar ve yönetime ait veriler kullanılarak ilin kentsel katı atık profili oluşturulmuştur. Karadeniz bölgesinin bir s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b1f79580021f54331aec032f211d0e3
https://doi.org/10.31466/kfbd.1102936
https://doi.org/10.31466/kfbd.1102936
Publikováno v:
Environmental Engineering and Management Journal. 21:757-767
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c97f8fd3ae59136540e3894d801ca86
https://doi.org/10.30638/eemj.2022.070
https://doi.org/10.30638/eemj.2022.070
© 2022 Elsevier LtdIn this study, the use of Deep Cascade Forward Neural Network (DCFNN) was investigated to model both linear and non-linear chaotic relationships in co-composting of dewatered sewage sludge and biomass fly ash (BFA). Model results
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6af0b9ebbd4e6ec82e1e2d4ab32470c4
https://hdl.handle.net/11424/285759
https://hdl.handle.net/11424/285759
Publikováno v:
Bioresource technology.
© 2022 Elsevier LtdStudies on developing strategies to predict the stability and performance of the composting process have increased in recent years. Machine learning (ML) has focused on process optimization, prediction of missing data, detection o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f08df207755b38ff91c6b6a7d1832123
https://pubmed.ncbi.nlm.nih.gov/36608858
https://pubmed.ncbi.nlm.nih.gov/36608858
Autor:
Yasemin Bayindir, Nurdan Gamze Turan
Publikováno v:
Karadeniz Fen Bilimleri Dergisi. 11:289-296
Hayvan atıkları, birçok ürün için geleneksel bir besin kaynağıdır. Bununla birlikte, yüksek amonyak içeriği ve patojenler nedeniyle, doğrudan toprağa uygulandığında bitkiler açısından zararlı olabilmektedir. Kompostlaştırma, so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05d673544a958216c4cc79d264a6f0f7
https://doi.org/10.31466/kfbd.925791
https://doi.org/10.31466/kfbd.925791
Publikováno v:
Bioresource Technology. 363:127910
In this study, the effects of co-composting of food waste (FW) and tea waste (TW) on the losses of total nitrogen (TN), total organic carbon (TOC), and moisture content (MC) were investigated. TW and FW were composted separately and compared with the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0680f6c7ae4a85c63dcb8e53d1406c73
https://doi.org/10.1016/j.biortech.2022.127910
https://doi.org/10.1016/j.biortech.2022.127910
Publikováno v:
Journal of Environmental Management. 318:115496
The present study was carried out to improve, test, and validate the Cascade Forward Neural Network (CFNN) for co-composting of municipal solid waste (MSW) and cattle manure (CM). Composting was performed in vessel pilot-scale reactors with different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fde26d6b40c2a1c689a4a2ce514c28e6
https://doi.org/10.1016/j.jenvman.2022.115496
https://doi.org/10.1016/j.jenvman.2022.115496
Publikováno v:
Chemical Engineering Journal. 437:135499
In this study, the effects of co-composting of food waste and poultry waste on nitrogen losses and maturity were investigated. The different mixture ratios were used and the effectiveness of co-composting was compared with mono-composting of each was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::667a1a750d55db0f0035fcaea19f053d
https://doi.org/10.1016/j.cej.2022.135499
https://doi.org/10.1016/j.cej.2022.135499
Publikováno v:
The Scientific World Journal, Vol 2013 (2013)
An intensive study has been made to see the performance of the different liner materials with bentonite on the removal efficiency of Cu(II) and Zn(II) from industrial leachate. An artificial neural network (ANN) was used to display the significant le
Externí odkaz:
https://doaj.org/article/f7bb19f4f3b44ff8bcca7cfbc6c541e5