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1. Revisiting hydrological drought propagation and recovery considering water quantity and quality

Author:
Moradkhani, Hamid,   et al.   ; Ahmadi, Behzad;     Show all 2 Author
Source:
Hydrological processes 2019 v.33 no.10 pp. 1492-1505
ISSN:
0885-6087
Subject:
aquatic organisms; climate; dissolved oxygen; drought; ecosystems; habitats; rivers; soil quality; stream flow; streams; temperature; turbidity; water quality; water quantity; watersheds; wildfires; California
Abstract:
... Climate extremes, in particular droughts, are significant driving forces towards riverine ecosystem disturbance. Drought impacts on stream ecosystems include losses that can be either direct (e.g., destruction of habitat for aquatic species) or indirect (e.g., deterioration of water quality, soil quality, and increased chance of wildfires). This paper combines hydrologic drought and water quality ...
DOI:
10.1002/hyp.13417

2. One-year simulation of a solar wood dryer with glazed walls in a Moroccan climate

Author:
Ez-Zahraouy, Hamid,   et al.   ; Bekkioui, Naoual; El hakiki, Sarra; Rachadi, Abdeljalil;     Show all 4 Authors
Source:
Renewable energy 2020 v.155 pp. 770-782
ISSN:
0960-1481
Subject:
Tetraclinis; aesthetics; climate; cold season; computer simulation; drying; mathematical models; renewable energy sources; water content; wood; wood drying; wood moisture
Abstract:
... A one-year numerical simulation of a solar wood dryer with glazed walls in a Moroccan climate was developed. This simulation was used to predict detailed and temporal distributions of wood moisture content (MC) and to study the mechanisms and parameters involved in solar wood drying. Calculations were performed for thuya wood (Tetraclinis articulate), which is primarily used in marquetry in the ci ...
DOI:
10.1016/j.renene.2020.03.131

3. Robust strategies for climate change adaptation in the agricultural sector under deep climate uncertainty

Author:
Abbasi, Hamid,   et al.   ; Delavar, Majid; Bigdeli Nalbandan, Roya; Hashemy Shahdany, Mehdy;     Show all 4 Authors
Source:
Stochastic environmental research and risk assessment 2020 v.34 no.6 pp. 755-774
ISSN:
1436-3240
Subject:
Soil and Water Assessment Tool model; agricultural industry; agricultural products; basins; climate; climate change; cropping systems; decision making; deficit irrigation; groundwater; irrigation management; lakes; planning; prioritization; uncertainty; Iran
Abstract:
... Adaptive planning in climate change condition is a significant challenge for effective management of water resources and agricultural systems. One of the major controversial issues in climate change adaptation studies is deeply uncertain nature of such changes. This study aimed at planning optimal agricultural adaptation measures under deep climate uncertainty in a semi-arid basin in Iran (Tashk–B ...
DOI:
10.1007/s00477-020-01782-4

4. Factors influencing the use of adaptation strategies to climate change in paddy lands of Kamfiruz, Iran

Author:
Mirzaei Khalilabad, Hamid R.,   et al.   ; Esfandiari, Mehdi; Boshrabadi, Hossien Mehrabi; Mehrjerdi, Mohmmad R. Zare;     Show all 4 Authors
Source:
Land use policy 2020 v.95 pp. 104628
ISSN:
0264-8377
Subject:
basins; climate; climate change; cultivars; demography; descriptive statistics; education programs; educational status; farmers; farmers' attitudes; fertilizers; income; issues and policy; labor; land management; land tenure; logit analysis; paddies; pesticides; rice; socioeconomics; variance; Iran
Abstract:
... Climate variability in recent decades has made it imperative to use adaptation strategies to offset the adverse impacts of climate change. The present study mainly aimed to determine the variables influencing farmers’ decisions on adaptation and to investigate the variables dictating the extent to which each adaptation strategy is used. So, data on production inputs, demographic characteristics, s ...
DOI:
10.1016/j.landusepol.2020.104628

5. A Scenario-Based Approach for Assessing the Hydrological Impacts of Land Use and Climate Change in the Marboreh Watershed, Iran

Author:
Darabi, Hamid,   et al.   ; Torabi Haghighi, Ali; Shahedi, Kaka; Solaimani, Karim; Kløve, Bjørn;     Show all 5 Authors
Source:
Environmental modeling and assessment 2020 v.25 no.1 pp. 41-57
ISSN:
1420-2026
Subject:
Landsat; Soil and Water Assessment Tool model; algorithms; climate; climate change; decision making; farm area; hydrologic data; issues and policy; land cover; land use change; rain; rangelands; remote sensing; residential areas; t-test; water management; watersheds; Iran
Abstract:
... In separate analyses of the impacts of land use change and climate change, a scenario-based approach using remote sensing and hydro-climatological data was developed to assess changes in hydrological indices. The data comprised three Landsat TM images (1988, 1998, 2008) and meteorological and hydrological data (1983–2012) for the Aligudarz and Doroud stations in the Marboreh watershed, Iran. The Q ...
DOI:
10.1007/s10666-019-09665-x

6. Mortality risk from heat stress expected to hit poorest nations the hardest

Author:
Moradkhani, Hamid,   et al.   ; Ahmadalipour, Ali; Kumar, Mukesh;     Show all 3 Authors
Source:
Climatic change 2019 v.152 no.3-4 pp. 569-579
ISSN:
0165-0009
Subject:
climate; climate models; global warming; heat stress; mortality; planning; risk; summer; uncertainty; Middle East; Northern Africa
Abstract:
... Anthropogenic climate warming has increased the likelihood of extreme hot summers. To facilitate mitigation and adaptation planning, it is essential to quantify and synthesize climate change impacts and characterize the associated uncertainties. By synergistically using projections of climate scenarios from an ensemble of regional climate models and a spatially explicit version of an empirical hea ...
DOI:
10.1007/s10584-018-2348-2

7. Future drought risk in Africa: Integrating vulnerability, climate change, and population growth

Author:
Moradkhani, Hamid,   et al.   ; Ahmadalipour, Ali; Castelletti, Andrea; Magliocca, Nicholas;     Show all 4 Authors
Source:
The Science of the total environment 2019 v.662 pp. 672-686
ISSN:
0048-9697
Subject:
climate; climate change; climate models; drought; energy; infrastructure; land use; population growth; relative risk; risk assessment; society; uncertainty; water resources; Africa
Abstract:
... Drought risk refers to the potential losses from hazard imposed by a drought event, and it is generally characterized as a function of vulnerability, hazard, and exposure. In this study, drought risk is assessed at a national level across Africa, and the impacts of climate change, population growth, and socioeconomic vulnerabilities on drought risk are investigated. A rigorous framework is impleme ...
DOI:
10.1016/j.scitotenv.2019.01.278

8. Precipitation extremes and their relation to climatic indices in the Pacific Northwest USA

Author:
Moradkhani, Hamid,   et al.   ; Zarekarizi, Mahkameh; Rana, Arun;     Show all 3 Authors
Source:
Climate dynamics 2018 v.50 no.11-12 pp. 4519-4537
ISSN:
0930-7575
Subject:
basins; climate; energy; forestry; observational studies; principal component analysis; watersheds; Columbia River; United States
Abstract:
... There has been focus on the influence of climate indices on precipitation extremes in the literature. Current study presents the evaluation of the precipitation-based extremes in Columbia River Basin (CRB) in the Pacific Northwest USA. We first analyzed the precipitation-based extremes using statistically (ten GCMs) and dynamically downscaled (three GCMs) past and future climate projections. Seven ...
DOI:
10.1007/s00382-017-3888-2

9. Enhancing hydrologic data assimilation by evolutionary Particle Filter and Markov Chain Monte Carlo

Author:
Moradkhani, Hamid,   et al.   ; Abbaszadeh, Peyman; Yan, Hongxiang;     Show all 3 Authors
Source:
Advances in water resources 2018 v.111 pp. 192-204
ISSN:
0309-1708
Subject:
Markov chain; algorithms; case studies; climate; filters; hydrologic data; hydrologic models; mutation; water resources; watersheds; United States
Abstract:
... Particle Filters (PFs) have received increasing attention by researchers from different disciplines including the hydro-geosciences, as an effective tool to improve model predictions in nonlinear and non-Gaussian dynamical systems. The implication of dual state and parameter estimation using the PFs in hydrology has evolved since 2005 from the PF-SIR (sampling importance resampling) to PF-MCMC (Ma ...
DOI:
10.1016/j.advwatres.2017.11.011

10. Predicting invasion potential and niche dynamics of Parthenium hysterophorus (Congress grass) in India under projected climate change

Author:
Hamid, Maroof,   et al.   ; Ahmad, Rameez; Khuroo, Anzar A.; Charles, Bipin; Rashid, Irfan;     Show all 5 Authors
Source:
Biodiversity and conservation 2019 v.28 no.8-9 pp. 2319-2344
ISSN:
0960-3115
Subject:
Parthenium hysterophorus; climate; climate change; economic impact; grasses; habitats; invasive species; models; prediction; weeds; Himalayan region; India
Abstract:
... In an era of climate change, predictive distribution modelling and niche dynamics of invasive species can help in understanding current and future invasion potential. Parthenium hysterophorus (Congress grass), native to tropical America, is one of the world’s worst weeds with huge ecological and economic impacts, including in India. Here we report the current and future potential distribution of P ...
DOI:
10.1007/s10531-019-01775-y

11. Determine the prevalence of gestational diabetes in Ardakan and its related factors

Author:
Morovati, Hamid Reza,   et al.   ; Moradi, Ahmad; Teimourpour, Amir; Nematollahi, Shahrzad; Faghir Ganji, Monireh;     Show all 5 Authors
Source:
MethodsX 2019 v.6 pp. 409-416
ISSN:
2215-0161
Subject:
climate; cross-sectional studies; gestational diabetes; glucose tolerance tests; infants; monitoring; mothers; pregnancy; pregnant women; regression analysis; screening
Abstract:
... Gestational Diabetes (GD) is amongst the most common metabolic disorders. Due to the important complications of GD on maternal and fetal health and in order to identify the prevalence of GD in various climate and cultures, the present studies aimed to determine the prevalence of GD in Ardakan and its related factors in 2014–2015. This cross-sectional study was conducted in 3808 pregnant women refe ...
DOI:
10.1016/j.mex.2019.02.016
PubMed:
30899677
PubMed Central:
PMC6406171

12. Spatial, temporal and frequency based climate change assessment in Columbia River Basin using multi downscaled-scenarios

Author:
Moradkhani, Hamid,   et al.   ; Rana, Arun;     Show all 2 Author
Source:
Climate dynamics 2016 v.47 no.1-2 pp. 579-600
ISSN:
0930-7575
Subject:
Lepidium meyenii; basins; climate; climate change; climate models; data collection; summer; temperature; temporal variation; uncertainty; watersheds; wavelet; Columbia River; Idaho
Abstract:
... Uncertainties in climate modelling are well documented in literature. Global Climate Models (GCMs) are often used to downscale the climatic parameters on a regional scale. In the present work, we have analyzed the changes in precipitation and temperature for future scenario period of 2070–2099 with respect to historical period of 1970–2000 from statistically downscaled GCM projections in Columbia ...
DOI:
10.1007/s00382-015-2857-x

13. Assessing a Multivariate Approach Based on Scalogram Analysis for Agricultural Drought Monitoring

Author:
Zare Abyaneh, Hamid,   et al.   ; Ghabaei Sough, Mohammad; Mosaedi, Abolfazl;     Show all 3 Authors
Source:
Water resources management 2018 v.32 no.10 pp. 3423-3440
ISSN:
0920-4741
Subject:
algorithms; climate; drought; entropy; evapotranspiration; monitoring; soil water; vegetation; wheat; Iran
Abstract:
... Due to the complexity of agricultural drought, univariate indices may not be suitable for assessing its impacts comprehensively. The main objective of this study was to develop a new multivariate drought index using the Scalogram concepts, in which the input data weights and their cluster separation were performed based on the entropy theory and fuzzy k-means algorithm, respectively. The newly dev ...
DOI:
10.1007/s11269-018-1999-0

14. Seroepidemiology and risk factor analysis of contagious caprine pleuropneumonia in Himalayan Pashmina Goats

Author:
Ullah Malik, Hamid,   et al.   ; Parray, Oveas Rafiq; Yatoo, Mohd. Iqbal; Muheet,; Ahmed Bhat, Riyaz; Bashir, Shah Tauseef; Nabi Magray, Suhail;     Show all 7 Authors
Source:
Small ruminant research 2019 v.171 pp. 23-36
ISSN:
0921-4488
Subject:
Mycoplasma; Mycoplasma capricolum; agglutination tests; altitude; climate; contagious caprine pleuropneumonia; data collection; disease prevention; enzyme-linked immunosorbent assay; factor analysis; flocks; gender; goats; grazing; grazing systems; moieties; mycoplasmosis; pleuropneumonia; polymerase chain reaction; questionnaires; regression analysis; restriction fragment length polymorphism; risk factors; serological surveys; serology; seroprevalence; therapeutics; villages; wild animals; wool; India
Abstract:
... Contagious caprine pleuroneumonia (CCPP), a highly contagious and severe respiratory disease of goats caused by Mycoplasma capricolum subspecies capripneumonia (Mccp) has not been reported in Pashmina goats of this trans-Himalayan region when there are ample clinico-pathological evidences of the occurrence of this disease. Further analyses of risk factors have not been carried out. Thus in this st ...
DOI:
10.1016/j.smallrumres.2018.12.004

15. Towards bridging the water gap in Texas: A water-energy-food nexus approach

Author:
Shafiezadeh, Hamid,   et al.   ; Daher, Bassel; Lee, Sang-Hyun; Kaushik, Vishakha; Blake, John; Askariyeh, Mohammad H.; Zamaripa, Sonia; Mohtar, Rabi H.;     Show all 8 Authors
Source:
The Science of the total environment 2019 v.647 pp. 449-463
ISSN:
0048-9697
Subject:
arid lands; climate; energy; hydraulic fracturing; issues and policy; municipal wastewater; planning; population growth; shale; stakeholders; urbanization; water supply; Texas
Abstract:
... The 2017 Texas Water Development Board's State Water Plan predicts a 41% gap between water demand and existing supply by 2070. This reflects an overall projection, but the challenge will affect various regions of the state differently. Texas has 16 regional water planning zones characterized by distinct populations, water demands, and existing water supplies. Each is expected to face variations of ...
DOI:
10.1016/j.scitotenv.2018.07.398

16. Assessing the impact of CMIP5 climate multi-modeling on estimating the precipitation seasonality and timing

Author:
Moradkhani, Hamid,   et al.   ; Demirel, Mehmet C.;     Show all 2 Author
Source:
Climatic change 2016 v.135 no.2 pp. 357-372
ISSN:
0165-0009
Subject:
Lepidium meyenii; climate; climate change; climate models; data collection; time series analysis; watersheds; Columbia River
Abstract:
... This paper investigates the effect of a Bayesian Model Averaging (BMA) method on simulated precipitation over the Columbia River Basin using two statistically downscaled climate datasets, i.e., Bias-Correction Spatial Disaggregation (BCSD) and Multivariate Adaptive Constructed Analogs (MACA). To this end daily observed and simulated precipitation are used to calculate different indices focusing so ...
DOI:
10.1007/s10584-015-1559-z

17. Applying a System Dynamics Approach for Modeling Groundwater Dynamics to Depletion under Different Economical and Climate Change Scenarios

Author:
Balali, Hamid,   et al.   ; Viaggi, Davide;     Show all 2 Author
Source:
Water 2015 v.7 no.10 pp. 5258-5271
ISSN:
2073-4441
Subject:
aquifers; climate; climate change; climatology; economic behavior; economic policy; energy; energy costs; farmers; groundwater; groundwater recharge; hydrologic models; irrigation water; prices; water harvesting; Iran
Abstract:
... In the recent decades, due to many different factors, including climate change effects towards be warming and lower precipitation, as well as some structural policies such as more intensive harvesting of groundwater and low price of irrigation water, the level of groundwater has decreased in most plains of Iran. The objective of this study is to model groundwater dynamics to depletion under differ ...
DOI:
10.3390/w7105258

18. Modelling Betula utilis distribution in response to climate-warming scenarios in Hindu-Kush Himalaya using random forest

Author:
Hamid, Maroof,   et al.   ; Mohapatra, Jakesh; Singh, Chandra Prakash; Verma, Anirudh; Semwal, Sudeep Chandra; Gajmer, Bandan; Khuroo, Anzar A.; Kumar, Amit; Nautiyal, Mohan C.; Sharma, Narpati; Pandya, Himanshu A.;     Show all 11 Authors
Source:
Biodiversity and conservation 2019 v.28 no.8-9 pp. 2295-2317
ISSN:
0960-3115
Subject:
Betula utilis; adverse effects; algorithms; altitude; biogeography; climate; data collection; global warming; landscapes; longitude; models; niches; snowmelt; statistics; treeline; Himalayan region
Abstract:
... Globally, the increase in the climatic variability has led to adverse effects on the treeline species in the high-elevation mountain landscapes. Identifying the geographical space that supports the treeline species survival over time is essential for conservation biogeography. Increase in the global warming and snowmelt has made available the treeline species favourable niches in the higher elevat ...
DOI:
10.1007/s10531-019-01731-w

19. Impacts of human development index and climate conditions on prevalence of Blastocystis: A systematic review and meta-analysis

Author:
Asadzadeh Aghdaei, Hamid,   et al.   ; Javanmard, Ehsan; Niyyati, Maryam; Ghasemi, Erfan; Mirjalali, Hamed; Zali, Mohammad Reza;     Show all 6 Authors
Source:
Acta tropica 2018 v.185 pp. 193-203
ISSN:
0001-706X
Subject:
Blastocystis; climate; databases; feces; human development; humans; humidity; hygiene; meta-analysis; parasites; systematic review; temperature
Abstract:
... Blastocystis is a prevalent eukaryotic microorganism that has been frequently reported from the stool samples of human and animals, all over the world. The prevalence of this parasite has close correlation with the climate and hygiene situation of studied populations. For the current study, English and Persian databases were searched for the following terms: “Blastocystis hominis”, “Blastocystis s ...
DOI:
10.1016/j.actatropica.2018.05.014

20. Temperature influences postdispersal predation of weed seeds

Author:
Mashhadi, Hamid Rahimian,   et al.   ; Noroozi, Shahrzad; Alizadeh, Hasan;     Show all 3 Authors
Source:
Weed biology and management 2016 v.16 no.1 pp. 24-33
ISSN:
1444-6162
Subject:
Carabidae; Cuscuta; Formicidae; Gryllidae; Stellaria media; Taraxacum officinale; Veronica persica; air temperature; alfalfa; birds; cages; cities; climate; cold; field experimentation; forage; global warming; granivores; invertebrates; pitfall traps; predators; regrowth; seed predation; seeds; weed control; weeds; Iran
Abstract:
... Temperature is a key factor for the living organisms on earth. It influences weed management practices, either directly or indirectly. Field experiments were conducted to determine the effect of temperature on the postdispersal seed predation of four important weed species (Cuscuta compestris, Stellaria media, Taraxacum officinale and Veronica persica) in two lucerne fields in Mashhad and Chenaran ...
DOI:
10.1111/wbm.12091