scholarly journals Influence of Treated Wastewater Irrigation on Soil Nutritional-Chemical Attributes Using Soil Quality Index

2021 ◽  
Vol 13 (4) ◽  
pp. 1952
Author(s):  
Salar Rezapour ◽  
Amin Nouri ◽  
Hawzhin M. Jalil ◽  
Shawn A. Hawkins ◽  
Scott B. Lukas
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Treated Wastewater ◽  
Corn Yield ◽  
Regression Equations ◽  
Soil Quality Index ◽  
Data Set ◽  
Significant Difference ◽  
Chemical Attributes ◽  
The Impact

Dwindling water resources have drawn global attention to the reuse of treated wastewater (TWW) for irrigation. However, the impact of continuous TWW applications on soil quality and the proper quantification and monitoring frameworks have not been well-understood. This study aims to provides an insight into the impact of flood irrigation of urban TWW on soil nutritional-chemical attributes and the potential application of multiple soil quality indices for a corn cropping system. To achieve that goal, we pursued the Total Data Set (TDS) and Minimum Data Set (MDS) approaches, as well as the Integrated Quality Index (IQI) and Nemoro Quality Index (NQI) models. A total of 17 soil nutritional-chemical indicators (0–50 cm depths) were determined for the soils irrigated with TWW (five sites) and well water (one site as control) in West Azerbaijan province in northwestern Iran. Results revealed a significant difference in the majority of soil nutritional-chemical attributes, IQI-TDS, NQI-TDS, IQI-MDS, NQI-MDS, and corn yield between the TWW-irrigated and well-irrigated soils. Irrigation with TWW resulted in a significant increase in the amount of organic matter and cation exchange capacity by 9–17% and 17–26%, respectively, macronutrients (N, P, K, Ca, and Mg) by 22–164%, and the majority of trace metals (Fe, Mn, Zn, and Cu) by 17–175%, suggesting an improvement in soil nutrients and an increase in productivity. Comparing to the soil in control sites, the TWW irrigation caused a notable increase in the values of IQI-TDS, NQI-TDS, IQI-MDS, and NQI-MDS models ranging 14.6–29.5%, 19.1–25.5%, 21.7–33.3%, and 18.4–23.7%, respectively. This implies that soil quality was ameliorated to a significant extent with TWW irrigation. These improvements resulted in a remarkable increase in corn yield ranging from 12.5% to 28.1%. The regression equations revealed that up to 78%, 47%, 72%, and 36% of the variance in the IQI-TDS, NQI-TDS, IQI-MDS, and NQI-MDS models, respectively, could be captured by corn yield. The results of the regression and correlation analyses showed that the IQI-MDS model was more accurate than the other models in assessing soil quality and predicting crop yield. These findings may be an effective and practical tool for policy making, implementation, and management of soil irrigated with TWW.

scholarly journals Indikator Kualitas Tanah pada Lahan Bekas Penambangan

2020 ◽  
Vol 11 (1) ◽  
pp. 1
Author(s):  
Achmad Rachman ◽  
Sutono Sutono ◽  
Irawan Irawan ◽  
I Wayan Suastika
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Biological Properties ◽  
Qualitative Assessment ◽  
Soil Reaction ◽  
Soil Quality Index ◽  
Data Set ◽  
Land Clearing ◽  
Key Indicators ◽  
The Impact

<p><strong>Abstrak.</strong> Lahan dalam kawasan tambang-tambang mineral mengalami perubahan sifat fisik, kimia, dan biologi tanah serta lansekap yang sangat signifikan sebagai akibat dari berbagai aktifitas penambangan seperti land clearing, pembangunan fasilitas pendukung kegiatan penambangan, lalu lintas kendaraan berat, penggalian, penimbunan bahan galian, pengolahan hasil tambang atau bahan mineral, dan lainnya. Sangat penting untuk mengembalikan kualitas tanah seperti kondisi sebelum kegiatan penambangan sehingga lahan dapat difungsikan kembali untuk pertanian. Makalah ini membahas metode penilaian indeks kualitas tanah sehingga dapat dievaluasi dampak berbagai perlakuan reklamasi. Sejumlah hasil penelitian menunjukkan bahwa penggunaan indeks kualitas tanah untuk tujuan tersebut memberikan hasil yang baik, mudah dilaksanakan dan mudah dipahami oleh pengguna. Pemilihan indikator kunci (minimun data set) dan nilai ambang batasnya, pada batas mana tanah dapat berfungsi optimal, sangat menentukan akurasi penetapan indeks kualitas tanah. Penskoran dan pembobotan dilakukan terhadap setiap individu indikator kunci yang kemudian diintegrasikan untuk mendapatkan satu nilai indeks kualitas tanah. Indikator kunci untuk mengevaluasi kualitas tanah pada lahan bekas tambang disarankan sebagai berikut: kandungan bahan organik tanah (SOM), reaksi tanah (pH), berat isi tanah (BD), kapasitas air tersedia (AWC), agregasi (WSA), dan respirasi tanah, namun dapat ditambahkan indikator lain sesuai tujuan evaluasi dan kondisi geografis lahan yang akan dievaluasi. Penilaian kualitas tanah dapat juga dilakukan menggunakan metode Scorecard. Evaluasi kualitas tanah pasca penambangan sebaiknya dilakukan sebelum pelaksanaan reklamasi untuk menentukan prioritas sifat-sifat tanah yang perlu perhatian lebih sehingga perlakuan reklamasi lebih terarah dan terukur dan selama pelaksanaan reklamasi untuk mengetahui arah perubahan yang terjadi.</p><p><em><strong>Abstract.</strong> Land in the mining areas undergo changes in soil physical, chemical, and biological properties as well as landscape as a result of various mining activities namely land clearing, construction of facilities to support the operations, movement of vehicles, excavation, storage of overburden dump materials backfilling of excavated material, and mineral mined processing. It is essential to restore soil quality similar to the condition before mining operation so that it can be utilized for agriculture purposes. This paper discusses method for assessing soil quality index to allow evaluation of the impact of different reclamation treatments. Studies indicated that the use of soil quality index gave good result, easy to perform, and easy to understand by the end user. Selection of key indicators (minimum data set) and its threshold values, in which soil is functioning optimally, is essential for the accuracy of soil quality index determination. Scoring and weighing of the individual soil indicator was performed before integrating all key indicators to obtain a soil quality index. Key indicators for evaluating soil quality of reclaimed mine soils is recommended to include soil organic matter (SOM), soil reaction (pH), bulk density (BD), available water capacity (AWC), water stable aggregate (WSA), and soil respiration, however, other indicators could be added depending upon the goal of assessment and geographical condition of land that is subject to evaluation. Qualitative assessment of soil quality can also be conducted using scorecard method. Evaluation of post-mining soil quality should be conducted before any reclamation activities to priorities soil properties that need more attention, so that reclamation treatments will be more focus and measurable and on on-going reclamation to monitor the trend of change.</em></p>

scholarly journals Comprehensive evaluation of soil quality in a desert steppe influenced by industrial activities in northern China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhe Xu ◽  
Wenbao Mi ◽  
Nan Mi ◽  
Xingang Fan ◽  
Yao Zhou ◽  
...  
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Northern Region ◽  
Main Element ◽  
Available Phosphorus ◽  
Desert Steppe ◽  
Geostatistical Model ◽  
Soil Quality Index ◽  
Industrial Activities ◽  
The Impact

AbstractDesert steppe soil security issues have been the focus of attention. Therefore, to understand the impact of industrial activities on the soil quality of desert grasslands, this experiment investigated the Gaoshawo Industrial Concentration Zone in Yanchi County. Based on the distance and direction from the industrial park, sample plots were established at intervals of 1–2 km. A total of 82 surface soil samples (0–20 cm) representing different pollution sources were collected. The samples were analysed for pH, total nitrogen, total phosphorus, available phosphorus, available potassium, organic matter, copper (Cu), cadmium (Cd), chromium (Cr), lead (Pb), and zinc (Zn). The desert steppe soil quality was analysed based on the integrated fertility index (IFI) and the Nemerow pollution index (PN), followed by the calculation of the comprehensive soil quality index (SQI), which considers the most suitable soil quality indicators through a geostatistical model. The results showed that the IFI was 0.393, indicating that the soil fertility was relatively poor. Excluding the available potassium, the nugget coefficients of the fertility indicators were less than 25% and showed strong spatial autocorrelation. The average values of Cu, Cd, Cr, Pb and Zn were 21.64 ± 3.26, 0.18 ± 0.02, 44.99 ± 21.23, 87.18 ± 25.84, and 86.63 ± 24.98 mg·kg−1, respectively; the nugget coefficients of Cr, Pb and Zn were 30.79–47.35%. Pb was the main element causing heavy metal pollution in the study area. Higher PN values were concentrated north of the highway in the study area, resulting in lower soil quality in the northern region and a trend of decreasing soil quality from south to north. The results of this research showed that the average SQI was 0.351 and the soil quality was extremely low. Thus, industrial activities and transportation activities in the Gaoshawo Industrial Zone significantly impact the desert steppe soil quality index.

scholarly journals Using Modified Soil Quality Index for Determining Ponds Bottom Soil Quality Status of Aquaculture Area BLUPPB Karawang West Java, Indonesia

2016 ◽  
Vol 7 (1) ◽  
pp. 1 ◽  
Author(s):  
Anggoro Prihutomo ◽  
Warih Hardanu ◽  
Atri Triana Kartikasari
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
C:N Ratio ◽  
Analysis Data ◽  
Chemical Compositions ◽  
Plastic Mulch ◽  
Soil Quality Index ◽  
Total N ◽  
Bottom Soil ◽  
The Impact

<p>The impact of aquaculture activities has led to environmental degradation, especially ponds bottom soil quality. The purpose of this study was to assess the status of the ponds bottom soil quality in different aquaculture systems (traditional and intensive) in BLUPPB Karawang region in a flexible value of soil quality index (SQI). Twenty ponds consisting of 5 traditional of milkfish (<em>Chanos chanos</em>) juvenile rearing ponds and 5 traditional polyculture ponds, 5 intensive of <em>Litopenaeus </em><em>va</em><em>n</em><em>namei</em> shrimp ponds lined with plastic mulch and 5 intensive <em>L. vannamei </em>shrimp earthen ponds. Variables of soil quality parameters examined include physical, chemical and biological of pond bottom soil. Sediment ponds with a depth of 5-10 cm were taken for analysis. Data statistically analyzed using Anova, continued with pos hoc test HSD Tukey. The results showed the ponds soil quality (SQI) of BLUPPB Karawang area has an average of 0.38 ± 0.02 or included in low criteria. Aquaculture systems were not significant (p&gt; 5%) to the general status of ponds soil quality. Aquaculture systems (intensive and traditional) only gave a significant different (p&lt;5%) to the parameter of soil bulk density, c-organic, total N, C:N ratio, total S, total P and soil respiration. Stability of the ponds bottom soil chemical compositions over time make level of intensity does not significantly affect, beside routine sediment removal at the end of cycle in intensive culture.</p>

Soil quality indices and their application in the hilly loess plateau region of China

Soil Research ◽  
2006 ◽  
Vol 44 (3) ◽  
pp. 245 ◽  
Author(s):  
Mingxiang Xu ◽  
Yunge Zhao ◽  
Guobin Liu ◽  
Robert M. Argent
Keyword(s):  
Soil Quality ◽  
Quality Indicators ◽  
Loess Plateau ◽  
Quality Index ◽  
Shaanxi Province ◽  
Soil Quality Indicators ◽  
Soil Quality Index ◽  
Plateau Region ◽  
Significant Difference ◽  
Hilly Loess Plateau

Soil quality in the hilly Loess Plateau region of China is seriously degraded due to hillside cultivation and severe soil erosion. No established methods are available for evaluating the regional soil quality nor has integrated soil quality assessment been conducted in the region. Our objectives were to (i) develop soil quality models and assessment methods, (ii) verify the representativeness of selected soil quality indicators, and (iii) evaluate landuse effects on regional soil quality. The research was conducted on 707 km2 of typical hilly Loess Plateau in Shaanxi province, China. Soil samples (total 208) were taken from 5 catchments under 10 different landuse types. Two integrated evaluation methods (weighted summation and weighted product) and 2 indicator sets (a whole and a minimum set) were tested, each producing a soil quality index. Quantitative evaluation of soil quality in different landuse types was also performed. The results showed that the weighted product method provided better differentiation of soil quality between landuses. The minimum indicator set of 8 soil quality indicators, selected by factor analysis from a complete set of 29 soil attributes, reflected all or most of the information of the whole set in assessing regional soil quality. Soil quality index (SQI) values under different landuse types ranged from 0.842 for natural woodland to 0.150 for orchard. Index values for orchard, cropland, revegetated grassland, and planted grassland were significantly less than those for 6 other landuse types, whereas planted shrubland, planted woodland, and natural grassland indices were significantly less than those for greenhouse, natural shrubland, and natural woodland. No significant difference in SQI was found between orchard, cropland, revegetated grassland, and planted grassland, or between planted shrubland and planted woodland. Overall, it was found that soil quality was generally poor across the region, except for natural woodland, shrubland and greenhouse areas.

scholarly journals Soil quality index as affected by temporal long term tea cultivation in Jorhat District of Assam

2020 ◽  
Vol 41 (6) ◽  
pp. 1685-1695
Author(s):  
N. Baruah ◽  
◽  
B.K. Medhi ◽  
Sanjay Swami ◽  
R.K. Thakuria ◽  
...  
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Age Groups ◽  
Minimum Data Set ◽  
Soil Quality Index ◽  
Available Nitrogen ◽  
Systems Methodology ◽  
Data Set ◽  
Minimum Data ◽  
Tea Plantations

Aim: The investigation was undertaken to identify the Minimum Data Set (MDS) for Soil Quality Index (SQI) assessment in continuouslong-term tea cultivation systems. Methodology: In the study under very deep, fine loamy, well-drained soil, five age groups of tea plantations viz. less than 15 years, 15-30 years, 30-45 years, 45-60 years and more than 60 years were selected and identified minimum data set and soil quality index. Results: In very deep, fine loamy, well-drained soil under continuous tea cultivation, SQI, 14.74 was obtained for less than 15 years, 14.06 for 15-30 years, 11.12 for 30-45 years, 12.94 for 45-60 years and 11.37 for more than 60 years of plantation, respectively. Interpretation: The most sensitive soil quality indicators identified in very deep, fine loamy, well-drained soil were pH for less than 15 years, total nitrogen for 15-30 years, available nitrogen for 30-45 years, organic carbon for 45-60 years and exchangeable aluminium for more than 60 years of continuous tea cultivation.

scholarly journals The Assessment of Soil Quality Index for Paddy Fields with Indicator Biology in Jatipurno Districts, Wonogirl

2019 ◽  
Vol 14 (1) ◽  
pp. 20
Author(s):  
Supriyadi Supriyadi ◽  
Widyatmani Sih Dewi ◽  
Desmiasari Nugrahani ◽  
Adila Azza Rahmah ◽  
Haryuni Haryuni ◽  
...  
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Management Practices ◽  
Principal Component ◽  
Biological Indicators ◽  
Paddy Fields ◽  
Soil Quality Index ◽  
Data Set ◽  
Organic Rice ◽  
Minimum Data

Increased rice needs in an extensive use of paddy fields in the Jatipurno, Wonogiri. Managing rice fields can reduce soil quality. Proper management can improve soil quality, Jatipurno has management such as organic, semi-organic and inorganic paddy field management which have a real effect on soil quality. Assessment of soil quality is measured by physical, chemical and biological indicators, where each factor has a different effect. The chemical indicators are often used as the main indicators for determining soil quality, whereas every parameter has the opportunity to be the main indicator. So, biological indicators can play indicators. The main indicators are obtained from the correlation test (p-values &le; 0,05 - &lt; 0,01) and Principal Component Analysis with high value, eigenvalues &gt; 1 have the potential to be used as Minimum Data Sets. The result is biological can be able to use as the Minimum Data Set such as microbial carbon biomass, respiration, and total bacterial colonies. The Soil Quality Index (SQI) of various paddy management practices shows very low to low soil quality values. The management of organic rice systems shows better Soil Quality Index with a score of 0,20 compared to other management. The practice of organic rice management shows that it can improve soil quality.

scholarly journals The effect of land use on soil quality in Giriwoyo Sub-district, Wonogiri Regency

2020 ◽  
Vol 8 (2) ◽  
pp. 2559-2568
Author(s):  
M Mujiyo ◽  
Yosua Yoga Setyawan ◽  
Aktavia Herawati ◽  
Hery Widijanto
Keyword(s):  
Land Use ◽  
Soil Quality ◽  
Quality Index ◽  
Microbial Biomass Carbon ◽  
Available P ◽  
Soil Quality Index ◽  
Data Set ◽  
Total N ◽  
Organic C

Determination of soil quality in Giriwoyo Sub-district, Wonogiri Regency, will generate a Soil Quality Index which can be used as a reference for soil cultivation for optimal productivity. This research was a descriptive exploratory with a survey approach. The survey area consisted of 12 land mapping units (LMU) with 3 replications for each LMU. Determination of LMU based on soil type, land use, slope and rainfall. The parameters used were BD (bulk density), porosity, organic C, pH, CEC (cation exchange capacity), BS (base saturation), available P, available K, total N, and MBC (microbial biomass carbon) that represented the physical, chemical and biological properties of the soil. Principal Component Analysis (PCA) analysis was performed to obtain the Minimum Data Set (MDS). The Soil Quality Index (SQI) at each LMU was calculated by multiplying the PCA result score (Wi) with the score for each selected indicator (Si). The result showed that the Soil Quality Index at each LMU was low. The highest Soil Quality Index was found in fields land use with an SQI of 0.34. The soil indicator that limited the soil quality was available P.

scholarly journals Degradation of soil quality by the waste leachate in a Mediterranean semi-arid ecosystem

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sh. Yeilagi ◽  
Salar Rezapour ◽  
F. Asadzadeh
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Crop Yields ◽  
Wheat Yield ◽  
Sensitivity Index ◽  
Soil Quality Index ◽  
Data Set ◽  
Total N ◽  
Quality Degradation ◽  
Waste Leachate

AbstractThe assessment of soil quality indices in waste leachate-affected soils is vital to understand the threats of land quality degradation and how to control it. In this respect, a study was conducted on the effects of uncontrolled landfill leachate on soil quality index (SQI) in calcareous agricultural lands using 28 soil variables. Using the total data set (TDS) and minimum data set (MDS) approaches, the SQI was compared between leachate-affected soils (LAS) and control soils by the integrated quality index (IQI) and nemoro quality index (NQI) methods. The results revealed that LAS were significantly enriched by soil salinity-sodicity indices including electrical conductivity (EC), sodium adsorption ratio (SAR), and exchangeable sodium percentage (ESP), fertility indices including total N, available P and K, organic carbon, and cation exchange capacity (CEC), exchangeable cations (Ca, Mg, K, and Na), the available and total fractions of heavy metals (Zn, Cu, Cd, Pb, Ni). After the leachate got its way into the soil, the values of IQI and NQI were dropped ranging 5–16% and 6.5–13% for the TDS approach and 5–15.2% and 7.5–12.2 for the MDS approach, respectively. Clearly, the data showed that soil quality degradation was encouraged and stimulated by the leachate. Among the different models of SQI applied in the present study, IQI determined by MDS was the optimal model to estimate soil quality and predict crop yields given the analysis of the correlations among the SQI models, the correlations between the SQI models and wheat yield, and sensitivity index values.

scholarly journals Spatio-temporal Soil Quality Assessment under Crop Rotation Irrigated with Treated Urban Wastewater using Fuzzy Modelling

2014 ◽  
Vol 28 (3) ◽  
pp. 291-302 ◽  
Author(s):  
Marjan Ghaemi ◽  
Ali R. Astaraei ◽  
Mehdi Nassiri Mahalati ◽  
Hojat Emami ◽  
Hossein H. Sanaeinejad
Keyword(s):  
Soil Quality ◽  
Quality Index ◽  
Biological Significance ◽  
Minimum Data Set ◽  
Spatial And Temporal Variability ◽  
Urban Wastewater ◽  
Soil Quality Index ◽  
Data Set ◽  
Minimum Data ◽  
Total Data

Abstract Quantifying soil quality is important for assessing soil management practices effects on spatial and temporal variability of soil quality at the field scale. We studied the possibility of defining a simple and practical fuzzy soil quality index based on biological, chemical and physical indicators for assessing quality variations of soil irrigated with well water and treated urban wastewater during two experimental years. In this study 6 properties considered as minimum data set were selected out of 18 soil properties as total data set using the principal component analysis. Treated urban wastewater use had greater impact on biological and chemical quality. The results showed that the studied minimum data set could be a suitable representative of total data set. Significant correlation between the fuzzy soil quality index and crop yield (R2= 0.72) indicated the index had high biological significance for studied area. Fuzzy soil quality index approach (R2= 0.99) could be effectively utilized as a tool leading to better understanding soil quality changes. This is a first trial of creation of a universal index of soil quality undertaken.

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