Content Analysis of the Problems and Challenges of Agricultural Water Use: A Case Study of Lake Urmia Basin at Miandoab, Iran

Es’haghi, Seyed Reza; Karimi, Hamid; Rezaei, Amirreza; Ataei, Pouria

doi:10.1177/21582440221091247

Cited by 7 publications

(5 citation statements)

References 93 publications

(96 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among the lakes, as another type of surface water resource studied, the highest value for the conservation priority was ascribed to Lake Urmia (located in West Azerbaijan province, northwestern Iran) due to its conservation status, high biological sensitivity, and habitat threat to the area. Additionally, agriculture, farmer behavior, and excessive groundwater consumption must be considered [60]. Since 2005, this hypersaline lake in northwestern Iran began to dry up [61].…”

Section: Discussionmentioning

confidence: 99%

Prioritizing Water Resources for Conservation in a Land of Water Crisis: The Case of Protected Areas of Iran

Sobhani

Esmaeilzadeh

Sadeghi

et al. 2022

Water

View full text Add to dashboard Cite

This study examines the distribution of water resources in Protected Areas in Iran and their priority for conservation. The results show that most of the water resources are located in the north and northwest of Iran due to favorable climatic conditions, topography, ambient temperature, and annual rainfall levels. Conversely, the lowest amount of water resources are located in the center and southeast of the country. Water resources were prioritized based on expert ratings of indicators to determine their value for conservation. The wetland with the highest priority for conservation is the Anzali Wetland (Gilan province), which is an international Ramsar Wetland. Conversely, Namak Lake (Qom province) was deemed the least important due to its geographical location, biological sensitivity, and conservation status. Protected Areas were found to support more surface water resources and provide space for the largest percentage of water resources, demonstrating their great value for protecting water resources in Iran. However, the level of protection of these critical resources, although located in Protected Areas, was shown to be insufficient. Therefore, appropriate planning and integrated management approaches are urgently needed to protect water resources and aquatic habitats in Protected Areas in Iran to address the current water crisis.

show abstract

Section: Discussionmentioning

confidence: 99%

Prioritizing Water Resources for Conservation in a Land of Water Crisis: The Case of Protected Areas of Iran

Sobhani

Esmaeilzadeh

Sadeghi

et al. 2022

Water

View full text Add to dashboard Cite

show abstract

“…Rising temperatures, altered precipitation patterns, and increased frequency of extreme weather events [20][21][22] have far-reaching consequences for human health, food security, water availability, and economic stability.Climate change exacerbates the risk of vector-borne diseases, malnutrition, and mental health is-sues [8,32,38], while also contributing to the displacement of populations and heightened conflicts over dwindling resources [26,39]. These impacts disproportionately affect marginalized communities, further exacerbating existing inequalities and straining already overburdened healthcare systems [27,37,40]. Mitigating the adverse effects of climate change requires a concerted, multi-pronged approach.…”

Section: The Climate Change Conundrummentioning

confidence: 99%

"Bracing for the Next Crisis: Pandemics, Climate Change, and Safeguarding Global Health and Prosperity"

Maria Cati

2024

BJSTR

View full text Add to dashboard Cite

The COVID-19 pandemic has underscored the vulnerabilities of global healthcare systems and the far-reaching consequences of public health crises on economies and societies [1-3]. As we address the aftermath, we must confront the looming threats of future pandemics [4-6] and escalating climate change impacts [7-9] on global health and wealth. This article introduces the Global Health and Prosperity Index (GHPI), a novel index that comprehensively evaluates a nation's preparedness and resilience against public health emergencies, climate change impacts, and economic ramifications. The GHPI encompasses three core domains: pandemic preparedness, climate change resilience, and economic stability and equity. By integrating these domains, the GHPI provides a holistic assessment to inform policy decisions, prioritize resource allocation, and foster international collaboration, ultimately safeguarding health, prosperity, and peace [10,11].

show abstract

“…The basin's semi-arid climate, topography and unique features, such as Lake Urmia, make it a valuable site for research and analysis. The degradation of Lake Urmia is a pressing environmental and socio-economic issue that requires further investigation to understand the underlying causes and to develop effective solutions to mitigate its impacts (Es'haghi et al, 2022;Soltani & Azari, 2022;Tourian et al, 2015). The study area location is given in Figure 2.…”

Section: Study Areamentioning

confidence: 99%

Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin)

Soltani,

Azari

2023

Irrigation and Drainage

View full text Add to dashboard Cite

In this study, the Terrestrial Water Storage Anomaly (TWSA) in the Lake Urmia Basin (LUB) was obtained by using the GRACE satellites. The whole study area was covered by 10 GRACE/GFO pixels, and the TWSA value was calculated for these 10 pixels. Examining the changing trend showed that the value of TWSA in the LUB has a decreasing trend and fluctuates from approximately −200 to +200 compared to the average value. The TWSA was modelled using the group method of data handling (GMDH) by considering six different parameters obtained from the European Centre for Medium‐Range Weather Forecasts (ECMWF) Reanalysis V5 (ERA5) and the Global Land Data Assimilation System version 2.0 (GLDAS V2.0). Finally, the best models with two to six input variables were selected. Among the models with different inputs, the GMDH Model 2, with three inputs, had the best performance compared to the other models. After choosing the best inputs in calculating the TWSA value by the GMDH, the TWSA value was also modelled by using the Adaptive Neuro‐Fuzzy Inference System (ANFIS), the Extreme Learning Machine (ELM) and the Artificial Neural Network (ANN). The results showed that GMDH not only outperformed other models but also provided some simple equations to apply in practical tasks.

show abstract

Content Analysis of the Problems and Challenges of Agricultural Water Use: A Case Study of Lake Urmia Basin at Miandoab, Iran

Cited by 7 publications

References 93 publications

Prioritizing Water Resources for Conservation in a Land of Water Crisis: The Case of Protected Areas of Iran

Prioritizing Water Resources for Conservation in a Land of Water Crisis: The Case of Protected Areas of Iran

"Bracing for the Next Crisis: Pandemics, Climate Change, and Safeguarding Global Health and Prosperity"

Terrestrial water storage anomaly estimating using machine learning techniques and satellite‐based data (a case study of Lake Urmia Basin)

Contact Info

Product

Resources

About