Assessment of soil quality indices for salt-affected agricultural land in Kurdistan Province, Iran

Nabiollahi, Kamal; Taghizadeh‐Mehrjardi, Ruhollah; Kerry, Ruth; Moradian, Shirin

doi:10.1016/j.ecolind.2017.08.001

Cited by 147 publications

(98 citation statements)

References 55 publications

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“…Soil erosion leads to on-site soil degradation as result of the loss of soil organic matter and nutrients. Soil degradation can also manifest in other ways including, for example, compaction, sealing, salinization, acidification, alkalinization, chemical or heavy metal contamination, biodiversity decline and increased incidence of floods or landslides (Ayoubi et al 2014;Bindraban et al 2012;Emadi et al 2009;European Commission 2006;Jónsson et al 2016;Nabiollahi et al 2018a;Nabiollahi et al 2017;Nosrati 2013;Pham et al 2018;Yu et al 2018a). Such widespread issues are important in the context of the United Nations' 17 Sustainable Development Goals (SDGs, Keesstra et al 2016), since sustainable soil management has direct relevance to at least half of them (Jónsson et al 2016).…”

Section: Introductionmentioning

confidence: 99%

A soil quality index for evaluation of degradation under land use and soil erosion categories in a small mountainous catchment, Iran

Nosrati

Collins

2019

J. Mt. Sci.

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Section: Introductionmentioning

confidence: 99%

A soil quality index for evaluation of degradation under land use and soil erosion categories in a small mountainous catchment, Iran

Nosrati

Collins

2019

J. Mt. Sci.

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“…The nine measured parameters were used in a Total data set including slope, depth, the texture, pH, EC, lime efficiency properties of phosphorus, potassium and nitrogen. The Minimum data set selection was determined to reduce dimensionality using principal component analysis (Doran and Parkin, 1994;Qi et al, 2009;Nabiollahi et al, 2017). As a result of factor analysis, groups with eigenvalues equal to 1 or greater than 1 were considered as factors and critical factor load was taken as 0.5 (Andrews et al, 2002a;Wander and Bollero, 1999).…”

Section: Methodsmentioning

confidence: 99%

“…As a result of factor analysis, groups with eigenvalues equal to 1 or greater than 1 were considered as factors and critical factor load was taken as 0.5 (Andrews et al, 2002a;Wander and Bollero, 1999). For each factor, soil variables with high factor loadings were assumed to be the indicators that the best represent changes in soil quality and were defined as having absolute values within 10% of the highest factor loading (Andrews et al, 2002b;Govaerts et al, 2006;Sharma et al, 2005;Nabiollahi et al, 2017).…”

Section: Methodsmentioning

confidence: 99%

“…The parameters are grouped as minimum data sets with indicators that can measure the soil condition. Total data set and minimum data set are also widely used in soil quality evaluation (Yanbing et al, 2009;Blecker et al, 2012;Cheng et al, 2016;Doran and Parkin, 1994;Larson and Pierce, 1994;Nakajima et al, 2015;Sanchez-Navarro et al, 2015;Raiesi et al, 2016;Biswas et al, 2017;Nabiollahi et al, 2017;Wu et al, 2019). In this study, total and minimum data set for agricultural land compatibility classes of land were used.…”

Section: Introductionmentioning

confidence: 99%

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Determination of Agricultural Land Suitability Classes for Samsun Province Based on Parametric and Hierarchy Approaches

Turan

Dengi̇z

2019

Lnternational Journal of Geography and Geography Education

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Orhan DENGİZ 2 ÖzArazi kalite indeksi agro-ekosistemlerinin değerlendirilmesinde önemli bir araçtır. Bu çalışmanın amacı, parametrik (AKIg) ve hiyerarşik (AKIa) yaklaşımlı iki farklı arazi kalite indeks modeli kullanılarak Samsun iline ait arazilerin tarımsal amaçlı arazi uygunluk sınıflamasının belirlenmesi ve haritalanmasıdır. 9579 km 2 alana sahip olan Samsun ilinden 995 adet yüzey toprak örneklemesi yapılmıştır. Arazi özelliklerinden derinlik ve eğim, fizikokimyasal toprak özelliklerinden ise bünye, pH, EC, kireç, verimlilik özelliklerinden ise fosfor, potasyum ve azot olmak üzere toplam 9 faktör ile toplam veri seti (TVS) oluşturulmuştur. Minimum veri setin (MVS) oluşturulmasında ise temel bileşenler analizi uygulanmıştır. TVS'ne göre AKIa ve AKIg modellerine ait dağılım haritalarının oluşturulmasında Kriging'in basit üssel ve Gaussian modelleri kullanılmıştır. Her iki modele göre çalışma alanının yaklaşık %15'i işlemeli tarıma arazi kalitesi bakımından hiçbir zaman uygun değilken, yaklaşık % 30'u ise çok uygun ve uygun olduğu belirlenmiştir. MVS'ne göre AKIa ve AKIg modellerine ait dağılım haritalarının oluşturulmasında ise Kriging'in basit üssel ve doğal küresel modelleri kullanılmıştır. Buna göre, AKİa için toplam alanın %29,5'si çok uygun ve uygun iken, AKİg yaklaşımı için % 22.1'i uygun ve çok uygun sınıf olarak belirlenmiştir. Ayrıca, TVS ve MVS'ne göre AKIa ve AKIg lineer korelasyon ve kappa istatistik analizleri ile karşılaştırıldığında ise TVS-AKIa modelinin en yüksek değere sahip olduğu belirlenmiştir. AbstractLand quality index is an important tool for evaluating agro-ecosystem. The aim of this study is to determine and agricultural land suitability classes for Samsun province based on two different land quality indexes model (parametric-AKIg and hierarchy-AKIa) approaches and to create maps of them. Total 995 soil samples were taken from soil surface (0-20cm) in Samsun province covers about 9579 km 2 . Total data set (TDS) consists of nine land and physic-chemical soil properties (soil depth, slope, texture, pH, EC, lime content, nitrogen, phosphorus, and potassium. In order to generate MDS, principal component analysis was done. Exponential and Gaussian of simple kriging models were used to generate distribution map of the AKIa and AKIg suitability classes in TDS. According to results, about 15% total study area is not suitable for agricultural activities whereas, about 30% of it is suitable and highly suitable for agricultural usage. In addition, Exponential simple of kriging models were used to generate distribution map of the AKIa and AKIg suitability classes in MDS. According to results, about 29.5% total study area was found as suitableand highly suitable for agricultural activities in AKIa model while, about 22.1% of it is suitable and highly suitable for agricultural usages in AKIg model. Moreover, the results of linear correlation and kappa statistical analysis showed that land quality was better estimated using AKIa, compared to the AKIg in TDS and MDS.

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“…For instance, the usage of metal powders shall increase the overall cost of modified emulsion explosives, making it hard to popularize these prod-ucts, and utilizing industry salts as the additive shall lead to irreversible land salinization [19]. Studies focused on the pollution of the residues also suggest these traditional additives like industry salts are not clean enough, i. e., Bless et al took landscape elements into consideration and studied the threat of soil salinization to agricultural lands [23,24]. By contrast, with respect to the proposed new additive: common clay, it is directly collected from the nature environment without any secondary processing expect for purification, and just return back to nature after explosives' detonation.…”

Section: Introductionmentioning

confidence: 99%

Application of a New Cleaner Emulsion‐Explosive Formula: Cu/Al Parallel Plates Explosive Welding

Zhou

Shen

et al. 2018

Propellants Explo Pyrotec

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This paper introduces a new cleaner emulsion‐explosive formula and uses it in the copper/aluminum parallel plates explosive welding, with the benefits of decreasing the overall cost of emulsion explosive product and minimizing environmental pollution during use. After the welding experiment, sample's welding quality was firstly evaluated via the X‐ray tomography (XCT), optical microscopy (OM) and scanning electron microscopy (SEM). On the other hand, the energy dispersive spectroscopy (EDS), transmission electron microscopy (TEM) and X‐ray diffraction (XRD) analysis are utilized to identify the kinds of inter‐metallic compounds of samples. Our results reveal that the metal/metal interface obtained using the new emulsion explosive is more regular and wavy, and the inter‐metallic compounds, caused by rapid solidification and further cooling of the dissimilar partners, are confirmed as Al2Cu and AlCu.

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Assessment of soil quality indices for salt-affected agricultural land in Kurdistan Province, Iran

Cited by 147 publications

References 55 publications

A soil quality index for evaluation of degradation under land use and soil erosion categories in a small mountainous catchment, Iran

A soil quality index for evaluation of degradation under land use and soil erosion categories in a small mountainous catchment, Iran

Determination of Agricultural Land Suitability Classes for Samsun Province Based on Parametric and Hierarchy Approaches

Application of a New Cleaner Emulsion‐Explosive Formula: Cu/Al Parallel Plates Explosive Welding

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