Identifying environmental risk associated with anthropogenic activities in Zanjanrud River, Iran, using an integrated approach

Abdollahi, Zahra; Kavian, Ataollah; Sadeghi, Seyed Hamid Reza; Khosrovyan, Alla; DelValls, Ángel

doi:10.1016/j.catena.2019.104156

Cited by 11 publications

(9 citation statements)

References 30 publications

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“…Multivariate statistical techniques such as the PCA are effective data visualization and mining approaches. We applied a PCA technique to identify correlations between physical and chemical characteristics in the aquifer and to elucidate complicated patterns in data matrices 47 , 48 . Squared cosines with absolute values of more than or equal to 0.4 were used for the exploration of the observed ions 49 , 50 .…”

Section: Methodsmentioning

confidence: 99%

“…A positive coefficient indicates that the associated parameters are similar and harmonious, while a negative coefficient indicates that the variables are moving in opposite directions. We carried out an agglomerative hierarchical cluster analysis of the groundwater data to identify a specific pattern of similar observations within the studied variables 48 . The hierarchical clustering allowed us to identify suitable structures in chaotic and complex data and thus simplify the explanation of observations 51 .…”

Section: Methodsmentioning

confidence: 99%

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Scenario-based analysis of the impacts of lake drying on food production in the Lake Urmia Basin of Northern Iran

Feizizadeh

Lakes

Omarzadeh

et al. 2022

Sci Rep

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In many parts of the world, lake drying is caused by water management failures, while the phenomenon is exacerbated by climate change. Lake Urmia in Northern Iran is drying up at such an alarming rate that it is considered to be a dying lake, which has dire consequences for the whole region. While salinization caused by a dying lake is well understood and known to influence the local and regional food production, other potential impacts by dying lakes are as yet unknown. The food production in the Urmia region is predominantly regional and relies on local water sources. To explore the current and projected impacts of the dying lake on food production, we investigated changes in the climatic conditions, land use, and land degradation for the period 1990–2020. We examined the environmental impacts of lake drought on food production using an integrated scenario-based geoinformation framework. The results show that the lake drought has significantly affected and reduced food production over the past three decades. Based on a combination of cellular automaton and Markov modeling, we project the food production for the next 30 years and predict it will reduce further. The results of this study emphasize the critical environmental impacts of the Urmia Lake drought on food production in the region. We hope that the results will encourage authorities and environmental planners to counteract these issues and take steps to support food production. As our proposed integrated geoinformation approach considers both the extensive impacts of global climate change and the factors associated with dying lakes, we consider it to be suitable to investigate the relationships between environmental degradation and scenario-based food production in other regions with dying lakes around the world.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Scenario-based analysis of the impacts of lake drying on food production in the Lake Urmia Basin of Northern Iran

Feizizadeh

Lakes

Omarzadeh

et al. 2022

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Multivariate statistical techniques such as the PCA are effective approaches for data visualizing and mining. A PCA technique was used to identify correlations between physical and chemical characteristics in the aquifer and to elucidate complicated patterns in data matrices [45][46] . Squared cosines with absolute values of more than or equal to 0.4 were used for the exploration of the observed ions [46][47] .…”

Section: Water Salinization Spatiotemporal Analysismentioning

confidence: 99%

Scenario-based Analysis of the Impacts of Lake Drying on Sustainable Food Production

Feizizzadeh¹,

Lakes²,

Omarzadeh

et al. 2021

Preprint

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In many parts of the world, lake drying is caused by water management failures, while the phenomenon is exacerbated by climate change. Lake Urmia in Northern Iran is drying up at such an alarming rate that it is considered to be a dying lake, which has dire consequences for the whole region. While salinization caused by a dying lake is well understood and known to influence the local and regional food production, other potential impacts are as yet unknown. Food production in the Urmia region has predominantly been regionally-oriented and sustainable, particularly in terms of water demand. To explore current and projected impacts of the dying lake on sustainable food production (SFP) we investigated changes in climatic conditions, land use, and land degradation for the period 1990-2020. We examined the environmental impacts of lake drought on SFP through an integrated scenario-based geoinformation framework. The results show that the lake drought has significantly affected food production and has reduced the proportion of SFP over the past three decades. Based on a combination of cellular automata and Markov modelling, the conditions are projected for the next 30 years and are predicted to exacerbate further. To mitigate these issues and support SFP, this research provides some policy recommendations and results for tangible action plans. We consider the modification of cropping patterns towards low water demand crops as one the cheapest and most efficient solutions for reducing the overall agricultural water consumption.

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“…where the concentrations of alkali metals are expressed in meq•L −1 . High levels of Na + contents lead to displacement of Ca 2+ and Mg 2+ in soil and affect soil structure, aeration and infiltration, which will cause a drop of crop yield [21]. SAR accounts for the effects of Na + and is usually used as an assessment index of water quality for irrigation, with high levels of SAR affecting the growth and yield of crops [19] [20].…”

Section: Suitability Assessment For Irrigationmentioning

confidence: 99%

“…However, excessive contents of these cations in water bodies would have adverse impact on human health and ecosystem. For example, high levels of Na + in soil tend to displace Ca 2+ and Mg 2+ , which would reduce the soil permeability and consequently affect the growth and yield of crops [19] [20] [21].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Land Use and Fish Farming on the Contents of Ca2+, Mg2+, K+ and Na+ in Pond and Reservoir Ecosystems in an Agricultural Small Watershed, China

Zhou¹,

Zhang²

2021

JEP

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It is not understood well that how the effects of land use and fish farming on the contents of alkali metals (Ca 2+ , Mg 2+ , K + and Na + ) in small water bodies of pond and reservoir ecosystems at the watershed scale. In this study, the concentrations of Ca 2+ , Mg 2+ , K + and Na + in water bodies were measured for 103 ponds and reservoirs used as fish farming or surrounded by different agricultural land use types in the subtropical hilly watershed of Jinjing (105 km 2 ), China. The two important environmental factors of fishing farming and agricultural land use influenced the spatial variation the contents of alkali metals. The ponds and reservoirs in residential area had significantly higher concentrations of Ca 2+ and Na + than those with other land use types, reflecting the influence of domestic wastewater. Compared with those of natural ponds with non-fish farming, no significant increase of alkali metal contents occurred in fish farming ponds, due to the regular cleaning of ponds by farmers. However, the effect of fish culture on alkali metal contents was still supported indirectly by the fact that the alkali metal contents significantly correlated with nitrate contents in fish farming ponds and but high related with that of DIP in natural ponds. The suitability assessment for irrigation on the pond water indicated that almost all of ponds were suitable for irrigation except some ponds surrounded by residential area and tea plantation. Generally, our results demonstrated that fish farming and agricultural land use affected the contents of alkali metals in ponds and reservoirs. The agricultural water irrigation would be with caution from the ponds with tea plantation and residential area in the subtropical hilly watershed.

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Identifying environmental risk associated with anthropogenic activities in Zanjanrud River, Iran, using an integrated approach

Cited by 11 publications

References 30 publications

Scenario-based analysis of the impacts of lake drying on food production in the Lake Urmia Basin of Northern Iran

Scenario-based analysis of the impacts of lake drying on food production in the Lake Urmia Basin of Northern Iran

Scenario-based Analysis of the Impacts of Lake Drying on Sustainable Food Production

The Influence of Land Use and Fish Farming on the Contents of Ca<sup>2+</sup>, Mg<sup>2+</sup>, K<sup>+</sup> and Na<sup>+</sup> in Pond and Reservoir Ecosystems in an Agricultural Small Watershed, China

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Identifying environmental risk associated with anthropogenic activities in Zanjanrud River, Iran, using an integrated approach

Cited by 11 publications

References 30 publications

Scenario-based analysis of the impacts of lake drying on food production in the Lake Urmia Basin of Northern Iran

Scenario-based analysis of the impacts of lake drying on food production in the Lake Urmia Basin of Northern Iran

Scenario-based Analysis of the Impacts of Lake Drying on Sustainable Food Production

The Influence of Land Use and Fish Farming on the Contents of Ca&lt;sup&gt;2+&lt;/sup&gt;, Mg&lt;sup&gt;2+&lt;/sup&gt;, K&lt;sup&gt;+&lt;/sup&gt; and Na&lt;sup&gt;+&lt;/sup&gt; in Pond and Reservoir Ecosystems in an Agricultural Small Watershed, China

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The Influence of Land Use and Fish Farming on the Contents of Ca<sup>2+</sup>, Mg<sup>2+</sup>, K<sup>+</sup> and Na<sup>+</sup> in Pond and Reservoir Ecosystems in an Agricultural Small Watershed, China