Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Bahram Malekmohammadi"'
Publikováno v:
پژوهشهای آبخیزداری, Vol 37, Iss 1, Pp 2-17 (2024)
Introduction and GoalAmong natural disasters, flood is undoubtedly the most catastrophic hazard in the world. One of the basic strategies for reducing the damage caused by floods is to prepare a flood sensitivity map. Spatial prediction of the floodi
Externí odkaz:
https://doaj.org/article/2638111b8aad4c108a89528892f44fcf
Publikováno v:
Entorno Geografico, Iss 28 (2024)
Urban assets are generated through physical elements in a city as part of critical infrastructure. To ensure a sustainable urban future, innovative businesses and people are also essential urban assets. In the possible occurrence of natural and manbo
Externí odkaz:
https://doaj.org/article/a563d10d6dec4a9bb8bbc50981c1ad6e
Publikováno v:
پژوهشهای آبخیزداری, Vol 36, Iss 4, Pp 114-132 (2023)
IntroductionFinding the potential of groundwater resources is one of the basic principles in water resources management. The aim of this research is to determine the potential of groundwater using support vector machine learning (SVM) models as well
Externí odkaz:
https://doaj.org/article/792c2a0409df4f10b7bbf630fbdaf1af
Publikováno v:
Ecological Indicators, Vol 160, Iss , Pp 111905- (2024)
Hydrological Ecosystem Services (HESs), as an important part of ecosystem services, are those services that depend on hydrological processes. HESs vulnerability assessment at the watershed scale is used to explore highly vulnerable areas for manageme
Externí odkaz:
https://doaj.org/article/d72ec8e6821944ea8c711a94ed22006e
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract This study aims to analyze flood resilience (FR) in Karaj City, Iran, using a new fuzzy method which combines several qualitative and quantitative indices. The qualitative part was estimated by a questionnaire consisting of 42 questions dist
Externí odkaz:
https://doaj.org/article/5b3024b0757c4127a063422bfd4203a6
Autor:
Meysam Saeedi, Bahram Malekmohammadi
Publikováno v:
Heliyon, Vol 9, Iss 4, Pp e15264- (2023)
Background and purpose: Refineries are among the industrial centers that supply the energy and raw materials to downstream industries. To achieve sustainable development goals, creating appropriate balance between economical and environmental goals h
Externí odkaz:
https://doaj.org/article/487193b5b64f484c8dd5f0e894d3d70f
Autor:
Jahanbakhsh Balist, Bahram Malekmohammadi, Hamid Reza Jafari, Ahmad Nohegar, Davide Geneletti
Publikováno v:
Water Supply, Vol 22, Iss 3, Pp 2816-2831 (2022)
Water resources modeling can provide valuable information to planners. In this respect, water yield is an ecosystem service with significant roles in the sustainability of societies and ecosystems. The present study aimed to model the supply and dema
Externí odkaz:
https://doaj.org/article/f38e60a3f3344df39dd8c5a2bf209678
Autor:
Jahanbakhsh Balist, Bahram Malekmohammadi, Hamid Reza Jafari, Ahmad Nohegar, Davide Geneletti
Publikováno v:
Applied Water Science, Vol 12, Iss 1, Pp 1-14 (2021)
Abstract This study investigates how land use and climate changes affect water yield ecosystem service (ES) in the Sirvan River basin, located in Iran’s Kurdistan and Kermanshah provinces. By detecting land-use and climatic parameter changes in the
Externí odkaz:
https://doaj.org/article/798a3f33dfba41259f2add2b2a35661f
Publikováno v:
مهندسی منابع آب, Vol 13, Iss 44, Pp 95-105 (2020)
Abstract In recent years, the increasing growth of population and economic development aroundthe world is leading to rising demand for limited resources, and this issue has caused environmental conflicts in the exploitation of common resources. In su
Externí odkaz:
https://doaj.org/article/5565fd38d3e84a5ca3bfb4c201aabece
Autor:
Mitra Tanhapour, Jaber Soltani, Bahram Malekmohammadi, Kamila Hlavcova, Silvia Kohnova, Zora Petrakova, Saeed Lotfi
Publikováno v:
Water, Vol 15, Iss 5, p 887 (2023)
The quality of precipitation forecasting is critical for more accurate hydrological forecasts, especially flood forecasting. The use of numerical weather prediction (NWP) models has attracted much attention due to their impact on increasing the flood
Externí odkaz:
https://doaj.org/article/d97ff429002c4ce2825c14c18087163d