Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Bahman Jabbarian Amiri"'
Publikováno v:
Ecological Indicators, Vol 158, Iss , Pp 111607- (2024)
This study examines the effect of the upscaling of landscape structure, which arise from generalizing land use and land cover (LULC) maps, on river water quality prediction. The research uses spatial data from 36 river catchments in the southwestern
Externí odkaz:
https://doaj.org/article/9dc5c253ee634f25909a848d35b17dad
Autor:
Miljan Kovačević, Bahman Jabbarian Amiri, Silva Lozančić, Marijana Hadzima-Nyarko, Dorin Radu, Emmanuel Karlo Nyarko
Publikováno v:
Toxics, Vol 11, Iss 12, p 996 (2023)
This research delves into the efficacy of machine learning models in predicting water quality parameters within a catchment area, focusing on unraveling the significance of individual input variables. In order to manage water quality, it is necessary
Externí odkaz:
https://doaj.org/article/49af5626cc994fb9aad9d2851e30aa00
Autor:
Mustafa Nur Istanbuly, Mohammad Kaboli, Sara Ahmadi, Gouhang Tian, Magdalena Michalak, Bahman Jabbarian Amiri
Publikováno v:
Landscape Online, Vol 97 (2022)
This study examines the effects of the change in the shape of landscape patches, known as landscape structure, on ecological susceptibility, which is defined using the object-oriented method. The aim is to determine whether ecological susceptibility
Externí odkaz:
https://doaj.org/article/57b877b397244f5198ba3e628d35abab
Publikováno v:
Land, Vol 12, Iss 5, p 1011 (2023)
River water quality can be affected by a range of factors, including both point and non-point sources of pollution. Of these factors, changes in land use and land cover are particularly significant, as they can alter the structure of the landscape an
Externí odkaz:
https://doaj.org/article/c05a0a0756c741e19b454116447fd08b
Publikováno v:
Heliyon, Vol 7, Iss 4, Pp e06833- (2021)
The aim of this study is to evaluate an alternative approach to indicate how hydrological processes behave in a given watershed, and to test whether this approach can replace traditional calibration, particularly under data deficient conditions. Ther
Externí odkaz:
https://doaj.org/article/41ce6f0ad9e748be85f7af22f6e0533b
Publikováno v:
Water, Vol 14, Iss 6, p 920 (2022)
Scaling models is one of the challenges for water resource planning and management, with the aim of bringing the developed models into practice by applying them to predict water quality and quantity for catchments that lack sufficient data. For this
Externí odkaz:
https://doaj.org/article/eb7ead6bc15a4ac893aee808a76b8615
Publikováno v:
Forests, Vol 13, Iss 2, p 222 (2022)
The present study investigated the effects of changes in landscape configuration on river water quality, which is calculated by chemical export coefficients, using spatial data onto 31 catchments in the southwestern part of the Caspian Sea basin by a
Externí odkaz:
https://doaj.org/article/840ecdc3315d48abac58ac16b2dda763
Publikováno v:
Water, Vol 13, Iss 22, p 3274 (2021)
In this study, the soil erosion regulation ecosystem services of the CORINE land use/ land cover types along with soil intrinsic features and geomorphological factors were examined by using the soil erosion data of 327 catchments in Poland, with a me
Externí odkaz:
https://doaj.org/article/80b4d2fc4e9d468da73b621639884257
Autor:
Yusef Kianpoor Kalkhajeh, Bahman Jabbarian Amiri, Biao Huang, Azad Henareh Khalyani, Wenyou Hu, Hongjian Gao, Michael L. Thompson
Publikováno v:
Water, Vol 11, Iss 9, p 1889 (2019)
Although phosphorus (P) is an essential nutrient for biological productivity, it can cause freshwater degradation when present at fairly low concentrations. Monitoring studies using continuous sampling is crucial for documenting P dynamics in freshwa
Externí odkaz:
https://doaj.org/article/5f276baba0e041ffbce95ffe31ee8115
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
International Journal of Environmental Research and Public Health; Volume 19; Issue 4; Pages: 2372
instname
International Journal of Environmental Research and Public Health; Volume 19; Issue 4; Pages: 2372
Project Co-ordinators: Dr. Jose Alfonso Gómez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU).
Most studies that address the relationship between socio-economic characteris
Most studies that address the relationship between socio-economic characteris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91d552362dd78e7f137dbb80aae52c50
http://hdl.handle.net/10261/279272
http://hdl.handle.net/10261/279272
