Irrigation Quality Research Articles

Effect of Organic Manure and Moisture Regimes on Soil Physiochemical Properties, Microbial Biomass Cmic:Nmic:Pmic Turnover and Yield of Mustard Grains in Arid Climate.

(1) Background: Arid conditions occur due to climate abnormality in the different biogeography regions of the world. The aim of this research is to investigate the stoichiometry of manure and moisture regimes on soil properties, microbial biomass C:N:P turnover, and the grain yield of mustard crops under stress in arid conditions; (2) Methods: The field experiment was carried out for 2 years at the farms of the agriculture college of SKN, Jobner (SKRAU Bikaner, Rajasthan). The effects of organic manure, moisture regimes, and saline water treatment on soil properties, such as the soil microbial biomass build-up, loss, turnover, and recycling of carbon (Cmic), nitrogen (Nmic), and phosphorus (Pmic) in the mustard crop were investigated. The twenty-seven treatments studied are described as follows: organic manures (control, FYM @ 10 t ha−1 and vermicompost @ 5 t ha−1), moisture regimes (0.4, 0.6, and 0.8 IW/CPE ratio), and saline irrigation water (control, 6, 12 dSm−1); (3) Results: Our findings indicate that vermicompost @ 5 t ha−1 significantly increases moisture retention and the available water in soil at 33 kPa and 1500 kPa. The microbial biomass build-up of Cmic increases by 43.13% over the control and 14.36% over the FYM. Similarly, the soil microbial biomass of Nmic, and Pmic also increase considerably. The SHC of the soil is enhanced by the application of farmyard fertilizer and vermicompost. The BD and pH decrease significantly, while the SHC, OC, CEC, and ECe of the soil increase significantly. The build-up, losses, and fluxes of the soil microbial biomass of Cmic, Nmic, and Pmic increase significantly, and the turnover rate decreases under vermicompost @ 5 t ha−1. A significant increase in grain yield was observed. Irrigation with a 0.8 IW/CPE moisture regime significantly decreases the pH of the SHC; (4) Conclusions: We hypothesized the interactive outcomes of the moisture regime and found that organic manure significantly influenced grain and stover yield. The treatments of quality irrigation water and the addition of organic manure are efficient enough to improve soil properties, water holding capacity, and soil microbial biomass C:N:P in stress climatic conditions.

Assessment of groundwater quality in Randublatung Groundwater Basin

Groundwater is used for domestic and industrial water supply and irrigation. Land use in the Randublatung groundwater basin is mainly agricultural, using groundwater as the primary source. The present study aims to assess the groundwater quality in Randublatung groundwater basin. Groundwater quality in the study area, 13 groundwater samples were collected and analyzed for various parameters. Physicochemical parameters of groundwater such as Electrical conductivity (EC), total dissolved solids (TDS), pH, Chloride (Cl), Calcium (Ca), Magnesium (Mg), Sodium (Na), Potassium (K), Sulfate (SO4), Bicarbonate (HCO3), Nitrate (NO3) were determined. A chemical index like percentage of sodium, sodium adsorption ratio (SAR), permeability index (PI), Kelly Index, and Magnesium ratio can be used to determine groundwater quality for irrigation. From the study, 3 of 13 samples are suitable for drinking. Based on Wilcox classification, 23% of the groundwater samples are suitable for irrigation. From the USSL chart, there are four types of water quality. All groundwater samples are in a low sodium hazard condition based on the sodium absorption ratio. The permeability index and magnesium ratio indicate that all groundwater samples are of good quality for irrigation utility. Based on the Kelly index, there is one sample unsuitable for irrigation.

Identification of quality of irrigation water Danda Besar Swamp Irrigation Area in Barito Kuala District, South Kalimantan, Indonesia

Danda Besar Swamp Irrigation Area (SIA) is located in Danda Jaya Village in Rantau Badauh District, Barito Kuala Regency, South Kalimantan Province, Indonesia. It is one of tidal swamp reclamation where tidal fluctuation of Barito River affects to the hydrological condition. Danda Besar SIA has potential agricultural land about 2, 200 ha, and the productivity of paddy field was only 2 ton/ha in average for each time planting year. Two ton/ha is too low productivity due to problem of water quality in irrigation canal. However, fundamental information for the management of water quality of irrigation, monitoring data of water quality, is not measured yet. This fundamental research was conducted to identify and analyze condition of irrigation water quality. The field survey was carried out in dry months, May and June 2021 at primary canal, secondary canal, tertiary canal and pond. The final result for 6 parameters of the 4 locations (primary canal, secondary canal, tertiary canal and pond) showed there were 3 parameters (TDS, DO, and Sulfate (SO4 2-)) fulfill the class II standard, meanwhile there were 3 parameters (pH, Iron (Fe) and BOD) not fulfill the class II standard according to Government Regulation No. 22 year 2021 regarding Implementation of Environmental Protection and Management. The high content of Iron (Fe) and low content of pH recorded in all water sources should be addressed with urgency since this phenomenon as a result of pyrite oxidation affect to pH condition and may cause the low productivity of paddy field.

A Questionnaire-based Survey on Groundwater Characterization

The sustainable groundwater management in a coastal watershed of Adappa must consider appropriate control measures of the socio-economic needs. Hence, there is a need for a better knowledge and understanding of the socio-economic variables influencing the groundwater. Therefore, in this study the variability of socio economic responses to groundwater and the problems of engaging large numbers of individual users are highlighted. The socio-economic survey is conducted with a questionnaire-based survey among the people of the study area with random sampling, wherein the participants of the survey are expected to express their feedback freely upon the grievances they had faced with respect to the insufficient availability of the groundwater and its quality of potability and irrigation. The percentage frequency analysis is performed using the SPSS software in order to have a clear understanding of the demands of the local aids. Descriptive statistics and one-way ANOVA are the statistical analysis procedure which is adopted in this analysis. In order not to lose the significance of any important factor, each aspect is dealt separately while doing the descriptive statistics and the one-way ANOVA. This analysis will help to assist decision makers to better assess the socio-economic needs and undertake proactive measures to protect the coastal watershed and have to recognize the value of problems and promote a change of government officers’ attitude towards local people through training programs and incentives.

Spatial analysis and mapping of the groundwater quality index for drinking and irrigation purpose in the alluvial aquifers of upper and middle Cheliff basin (north-west Algeria)

AbstractThe proposed study aims to assess groundwater quality and suitability of the Upper and Middle Cheliff plains (northwest of Algeria) for irrigation and drinking. Here the groundwater is the main source for domestic, agricultural and industrial activities similarly to any other region of the world. The suitability for drinking and for irrigation was evaluated on the basis of water quality index, salinity risk, hardness risk, sodium risk, magnesium risk, permeability index, water infiltration rate, Kelly index and Wilcox and Richards diagrams. The aquifer system is mainly composed of alluvium (gravel, sand, silt, clay, …) from the Mio-Plio-Quaternary. The results of this study highlighted that the majority of the chemical elements analyzed exceed the WHO's drinking water standards and FAO's irrigation water standards. Based on the GroundWater Quality Index (GWQI) results, the Upper and Middle Cheliff groundwater plains shows Doubtful class in most of the plains. In addition, the GroundWater Quality Index for Irrigation (GWQII) shows the predominance of the Good/Permissible groundwater quality class in most of the plains. According to these results, drinking water can cause health problems (a danger) for the human consumption making necessary a proper treatment be able to use it. As for irrigation water, it does not present a danger for irrigating for the vast fields of the region, with the exception of sensitive crops such as: garlic, onion, beans and strawberry. The proposed approach demonstrated to be appropriate in assessing the groundwater quality for irrigation and drinking water supply since it can be easy applicable and suitable in humid, arid or semi-arid regions around the world.

Optimization of the Regulated Deficit Irrigation Strategy for Greenhouse Tomato Based on the Fuzzy Borda Model

It is of great significance to explore the strategy of regulated deficit irrigation (RDI) under mulched drip irrigation to stabilize tomato yield and improve quality and efficiency. This experimental study was conducted on a drip-irrigated greenhouse in two consecutive years (2020 and 2021). Three deficit levels were set for the flowering and fruit development stage (Stage I), and three were set for the fruit-ripening stage (Stage II). As a combination evaluation method, the fuzzy Borda model was used to optimize the RDI strategy of greenhouse tomato. The results showed that the net photosynthetic rate, stomatal conductance, transpiration rate, and total shoot biomass of tomato decreased with an increase in the water deficit, while the intercellular CO2 concentration had an opposite trend. The mild and moderate water deficit at Stage I reduced tomato yield by 16–24% and 30–40% compared to full irrigation. The water deficit at Stage II was able to improve various quality parameters and the water-use efficiency of tomato; the irrigation water-use efficiency (32.8–33.9 kg/m3) and leaf water-use efficiency (3.2–3.6 μmol/mmol) were the highest when the soil water content was 70–90% θf (field capacity) at Stage I and 40–60% θf at Stage II (T3). Based on the fuzzy Borda combination evaluation model, T3 was determined as the treatment with stable yield, high quality, and efficient irrigation under the experimental conditions. The irrigation regime was as follows: irrigating 20–25 mm in the transplanting stage, no irrigation in the seedling stage, irrigating 193.2–220.8 mm at Stage I, and then irrigating 27.6 mm at Stage II.

Exploring Machine Learning Models in Predicting Irrigation Groundwater Quality Indices for Effective Decision Making in Medjerda River Basin, Tunisia

Over the last years, the global application of machine learning (ML) models in groundwater quality studies has proved to be a robust alternative tool to produce highly accurate results at a low cost. This research aims to evaluate the ability of machine learning (ML) models to predict the quality of groundwater for irrigation purposes in the downstream Medjerda river basin (DMB) in Tunisia. The random forest (RF), support vector regression (SVR), artificial neural networks (ANN), and adaptive boosting (AdaBoost) models were tested to predict the irrigation quality water parameters (IWQ): total dissolved solids (TDS), potential salinity (PS), sodium adsorption ratio (SAR), exchangeable sodium percentage (ESP), and magnesium adsorption ratio (MAR) through low-cost, in situ physicochemical parameters (T, pH, EC) as input variables. In view of this, seventy-two (72) representative groundwater samples have been collected and analysed for major cations and anions during pre-and post-monsoon seasons of 3 years (2019–2021) to compute IWQ parameters. The performance of the ML models was evaluated according to Pearson’s correlation coefficient (r), the root means square error (RMSE), and the relative bias (RBIAS). The model sensitivity analysis was evaluated to identify input parameters that considerably impact the model predictions using the one-factor-at-time (OFAT) method of the Monte Carlo (MC) approach. The results show that the AdaBoost model is the most appropriate model for predicting all parameters (r was ranged between 0.88 and 0.89), while the random forest model is suitable for predicting only four parameters: TDS, PS, SAR, and ESP (r was with 0.65 to 0.87). Added to that, this study found out that the ANN and SVR models perform well in predicting three parameters (TDS, PS, SAR) and two parameters (PS, SAR), respectively, with the most optimal value of generalization ability (GA) close to unity (between 1 and 0.98). Moreover, the results of the uncertainty analysis confirmed the prominent superiority and robustness of the ML models to produce excellent predictions with only a few physicochemical parameters as inputs. The developed ML models are relevant for predicting cost-effective irrigation water quality indices and can be applied as a DSS tool to improve water management in the Medjerda basin.

Evaluation of groundwater quality for irrigation water supply using multi-criteria decision-making techniques and GIS in an agroeconomic tract of Lower Ganga basin, India

Groundwater irrigation has evolved the monocropping cultivation pattern to multi-cropping, especially in many arid/semi-arid tracts globally. Irrigation practices with the groundwater of poor quality can limit the selection of the crop, reduce crop yields and degrade the soil quality. The present study has been undertaken to identify the hydrogeochemical phenomena of groundwater systems in the south-western Birbhum district, India and to analyze groundwater suitability for irrigation during the pre-and post-monsoon cycles by adopting the Irrigation Water Quality Index (IWQI) using Multivariate Factor Analysis along with some traditional methods viz. sodium adsorption ratio, sodium percentage, magnesium hazards, residual sodium bicarbonate (RSBC) and carbonate (RSC), Wilcox's and USSL diagrams, permeability index and Kelly's index. The hydrogeochemical analysis revealed that chemical weathering and evaporation are predominant in the aquifer systems. Groundwater quality reflected soil salinity, sodicity and magnesium hazards risks and water toxicity to the sensitive plants at 0–46.4% of the post-monsoon samples and 0–38.4% of the pre-monsoon samples based on the individual traditional methods whereas about 97.73–98.88% of the total area was classified as moderate to severely unsuitable for irrigation during both seasons when integrated multiple parameters using the IWQI method. Prolonged use of such groundwater for irrigation is susceptible to causing moderate to severe infiltration problems at a greater extent of the study area. The study recommends adaptation of salinity, sodicity and RSC/RSBC reduction procedures (e.g., the use of acid and gypsum amendments in the irrigation lands and through water blending) and advanced irrigation practices (viz. drips, sprinklers and micro irrigations) to prevent soil degradation and increase crops productivity. Adopting Managed Aquifer Recharge procedures as well as rainwater harvesting in the areas bearing unsuitable water quality can dilute the ionic concentrations of the groundwater facies which in turn will improve the groundwater quality for irrigation.

Assessment of Groundwater Quality Using Water Quality Indices: A Case Study of Paliganj Distributary, Bihar, India

Groundwater quality evaluation in the command area of Paliganj distributary of the Sone irrigation scheme in India was carried out during two different seasons in the year 2020, namely pre-monsoon, i.e. during March, and post-monsoon, i.e. during October. Forty groundwater samples were obtained from hand pumps and dug wells in the study area during the pre- and post-monsoon seasons. The chemical characteristics of groundwater samples were determined according to American Public Health Association approved process. Twelve parameters, namely, pH, EC, TDS, Ca, Mg, Na, F, SO4, K, Cl, and HCO3 were used to compute the water quality based on the weighted arithmetic water quality index method. In the study area, Ca2+-Mg+-HCO3−, and Ca2+-Mg+-Na+-HCO3- were the dominant hydro-chemical facies. All the samples were found to belong to the excellent to good category for drinking purposes during the pre-monsoon period. However, during the post-monsoon season, only 75% of the samples fell into the excellent to good group, while the remaining 25% fell into the poor for drinking purposes category. By analyzing through the irrigation quality index, 80% of the samples are considered highly suitable for irrigation and the remaining 20% come under the medium category. Thus, it was seen that the majority of groundwater samples are suitable for drinking and irrigation purposes, although groundwater in some portions of the area had high salinity and the Sodium Adsorption Ratio (SAR), showing that it is unsuitable for irrigation and requires adequate drainage.

Utilization of membrane separation processes for reclamation and reuse of geothermal water in agricultural irrigation of tomato plants-pilot membrane tests and economic analysis

The quality of irrigation water is critical for enhancing agricultural productivity. As a result, this research was carried out with the aim of treating spent geothermal water before it is used for agricultural irrigation. While doing that, cost analysis of the system was taken into consideration as well. The product water was targeted to suit irrigation water standards for tomato plants. Two commercially available pressure driven membranes (NF8040-70 as NF membrane and TM720D-400 as RO membrane) were employed for this task. A constant applied pressure of 15 bar and 60% of water recovery were kept constant during the product water production while mode of operation for the membrane system was continuous. According to Turkish Ministry of Environment and Urbanization irrigation water standards and the results obtained from this study, it was clearly seen that both NF and RO product waters meet the quality I class irrigation water standards with respect total dissolved substances (TDS), electrical conductivity (EC), concentrations of Na+ and Cl− ions. Quality 1 means that the produced water will not cause any environmental effect when employed for irrigation purpose. Nevertheless, the produced water was found not to obey the irrigation standards with respect to sodium adsorption ratio (SAR) and boron concentration (quality III class). Quality III explains that the water will cause soil infiltration problems when employed for irrigation purpose. Since most of the minerals needed for plant growth were rejected by NF and RO membranes, an appropriate mixing ratio of the product water with well water for remineralization was determined. Mixing 50 and 60% of well water with the product waters of NF (50%) and RO (40%) membranes, respectively was found to be the optimum mixing ratios to produce the requested water quality for tomato irrigation. Quality II class irrigation water which can be applied with caution was targeted in terms of SAR as well as boron concentration (2–4 and 4–6 mg/L) while determining the mixing ratios. The cost of the product water was found as 0.76 and 1.56$/m3 for NF and RO processes, respectively.

Studying waters of the Volgo-Don canal for the purpose of irrigation

The data on the quality of water for irrigation and measures to improve the uniformity of distribution of artificial rain along the water pipeline of the sprinkler in order to increase the quality of irrigation are given. It has been established that the uniformity of irrigation is affected by the quality of water, in particular the presence of small particles and impurities in it, which clog the sprinklers, leading to the cessation of water supply to the irrigated area. Plants do not get enough moisture, resulting in lower yields. Studies on the uniformity of the distribution of the rain layer when irrigating with the Don-K sprinkler showed that after the installation of a water purification system in front of the water pipeline input, a more uniform distribution of rain was observed along the water-conducting belt of the farm. The content of undissolved impurities decreased by a factor of 10, and the irrigation rate increased by 15%.

Salinity Induced Antioxidant Defense in Roots of Industrial Hemp (IH: Cannabis sativa L.) for Fiber during Seed Germination.

Global climate change induced sea level rise, rainfed agriculture, poor quality irrigation water, and seawater intrusion through interconnected ditches and inland waterways cause soil salinity in inland and coastal areas. To reclaim and prevent further soil erosion, salt tolerant crops are required. Industrial Hemp (IH: Cannabis sativa L.) is used for food, fiber, and medicinal purposes throughout the world. In spite of that, little is known about the salt tolerance mechanisms in IH. Seed germination and development of the roots are the primary events in the life cycle of a plant, which directly interact with soil salinity. Therefore, in vitro germination experiments were conducted on the roots of 5-day-old seedlings using four varieties (V1: CFX-2, V2: Joey, V3: Bialobrzeskie, and V4: Henola) of IH for fiber. Five salinity treatments (0, 50, 80, 100, 150, and 200 mM NaCl) were used to screen the IH varieties on the basis of I: seed germination percent (SGP), II: quantitative morphological observations (root length (RL) and root fresh weight (RFW)), III: oxidative stress indices (hydrogen peroxide (H2O2) and lipid peroxidation), and IV: antioxidant defense system comprises of superoxide dismutase (SOD), catalase (CAT), guaiacol peroxidase (GPOD), ascorbate peroxidase (APOD), glutathione reductase (GR). The varieties V1 and V3 showed salt tolerance up to 100 mM by maintaining higher SGP, less reduction in RL and RFW. These roots in V1 and V3 showed lower levels of H2O2 and lipid peroxidation by displaying higher activities of SOD, CAT, GPOD, APOD, and GR while a reciprocal trend was observed in V4. However, roots in V2 showed higher activities of antioxidant enzymes with lower levels of H2O2 and lipid peroxidation, but showed declines in RL and RFW at 80 mM NaCl onward. Roots in V4 were the most susceptible to NaCl stress at 50 mM and onward.

Flexible Bi2MoO6/N-doped carbon nanofiber membrane enables tetracycline photocatalysis for environmentally safe growth of Vigna radiata

Photocatalysis technology has attracted great attention in the field of wastewater purification for plantation purposes. In the present work, we report the preparation, characterization, and application of flexible γ/γ′ -Bi2MoO6/N-doped carbon (Bi2MoO6/N-C) nanofiber membranes in tetracycline (TC) treatment and Vigna radiata growth. The phytotoxicity of degraded intermediates in treated water was evaluated for seed germination and growth of Vigna radiata. The as-prepared flexible Bi2MoO6/N-C homojunction nanofiber membrane, composed of subunits of γ-Bi2MoO6 nanoparticles and γ′ -Bi2MoO6 nanorods, showed strong visible-light harvesting capability, and good photogenerated electron-hole separation, which displayed the better photocatalytic efficacy in the TC treatment, in terms of degradation rate (97%, 60 min), and recyclability (4 cycles). Further, the germination and growth of Vigna radiata seeds were used to check the phytotoxicity level of the photocatalyst itself (0–10,000 mg/L), the treated and untreated TC solution. Phytotoxicity studies were undertaken via growing Vigna radiata in this Bi2MoO6/N-C photocatalyst solution and treated TC solution. The results demonstrated that Vigna radiata thrived in photocatalyst solution even at a high concentration of 10,000 mg/L and TC solution treated by the photocatalyst. Our work could afford an effective multifunctional photocatalyst for improving water quality for irrigation and plantation purposes.

Groundwater flow and geochemical processes affecting its quality in the basement (Oban Massif) and sedimentary (Mamfe Embayment) environments, southeastern Nigeria

Groundwater flow and geochemical processes that affect its quality were investigated in Oban Massif and Mamfe Embayment, southeastern Nigeria. Physical parameters of water samples such as acidity (pH), turbidity, temperature and total dissolved solids (TDS) were measured in the field using potable kits. The waters tested acidic with a pH ranged from 5.59 to 7.23, which is not in agreement with World Health Organization (WHO 2011) permissible limit (6.5–8.5) for drinking water. The sedimentary area shows TDS, turbidity, fluoride (F) and chloride (Cl−) ions exceeding permissible limits of 500 mg/l, 5 mg/l, 1.5 mg/l and 250 mg/l, respectively stipulated by WHO (2011) for drinking water. Ionic ratios of SO4/Cl contoured on topographic map decreased to the center indicating that groundwater flow is from east to west and Cl/HCO3 increased towards the center. Cl/HCO3 also increases towards the west reflecting eastern to western direction of groundwater flow. Existing water table values also showed that groundwater flow direction is from eastern in the basement to western sedimentary part of the study area. Ionic ratio plots and Gibbs plots show that geochemical processes such ion exchange, evaporation, crystallization; precipitation and rock weathering affect water chemistry and quality within the study. Silicate weathering and rock-water interactions are the dominant geochemical processes affecting water chemistry and quality. Multivariate statistical analysis confirmed that the source of elements in water is from geochemical processes such as silicate weathering from basement rocks, saline water intrusion, interaction of rock with aquifer materials and human inputs. Piper diagram revealed that the dominant water types are Ca–Na–HCO3- and Ca2+ + Mg2+-HCO3-. Evaluation of water quality for irrigation using percent sodium (% Na), Magnesium ratio, sodium absorption ratio (SAR), potential and salinity hazards show the water is suitable for irrigation. Water quality in the basement is more suitable for agriculture and domestic uses compared to the sedimentary area. This method used in evaluating groundwater quality is useful for local and regional study here in Nigeria and elsewhere on the globe.

Hydrogeochemical characteristics of groundwater uses for agricultural and drinking and groundwater quality of pollution index in the western part of Telangana, South India.

A total of fifty groundwater samples were collected in the western part of Nizamabad district, Telangana State, India. The results obtained were compared with the IS 10500 standard, which shows more than 80% of the samples are unfit for drinking purposes. The results were also analyzed to know the irrigation suitability, where about 80% of the samples are fit for agricultural use. For the major ions in groundwater quality for irrigation and drinking, contradictory locations exist which are majorly caused by geogenic (silicate weathering minerals) and anthropogenic (fertilizers, manure, and industrial effluents) sources. The hydrochemical facies of CaCl and mixed CaMgCl and NaCl water types were dominant in pre- and post-monsoon seasons. The spatial distribution diagrams of the major ions were high concentration in northern areas followed by western and south-western portions. As per the groundwater quality of pollution index (GQPI), most of the study region (62%) comes under the low contamination zone and the rest (38%) under the moderate to unacceptable zone. Factor analysis reveals that the study region is predominant of weathering, ion exchange, and anthropogenic inputs of major contamination of groundwater quality.

Irrigation quality and management determine salinization in Israeli olive orchards

Abstract. Olive (Olea europaea L.) orchard brackish water irrigation with incorrect irrigation management reduces soil fertility and degrades soil health through soil salinization. This study was conducted in the Beit She'an Valley, one of the main agricultural regions in Israel, in an olive orchard in which a combination of soil salinization and poor drainage conditions impedes plant development and causes severe economic damage. By combining various research methods, including soil salinity monitoring, field experiments, remote sensing (frequency domain electromagnetic – FDEM), and unsaturated soil profile saline water movement modeling, the salinization processes were quantified. Irrigation water conductance of 3.13 dS m−1 points to salinization within the tree upper root zone, whereas the modeling results suggest that salinization danger is greater with brackish treated wastewater rather than with lower-salinity brackish irrigation groundwater and that irrigation with potable water can help reduce salt accumulation and recover damaged plots.

Treated livestock wastewater influence on soil quality and possibilities of crop irrigation

This work aims to investigate how livestock wastewater irrigation affects the quality and agricultural potential of soil. The experiments took place in 2019 on a research station with an area of 10 ha (Moscow region, Russian Federation), divided into two even sites of 5 ha (control, experimental). Eleven germination experiments were carried out to determine the influence of livestock wastewater irrigation on radish seeds (1 – control; 10 – irrigation with liquid and solid phases of wastewater samples mixed with pure water). The experimental and control plots appeared to differ in terms of the bulk density of soil. Changes occurred in all horizons (p ≤ 0.05) but a soil layer with a depth of 0.2–0.4 m. Soil horizons in the experiment plots all exhibited lower porosity (p ≤ 0.05) except for the topsoil, and the water capacity was higher in the topsoil (p ≤ 0.05) and near-surface layer (p ≤ 0.05). The experiment showed higher concentrations of hummus (p ≤ 0.01) and phosphorus (p ≤ 0.01). As for nitrogen, significant changes only occurred in the topsoil (p ≤ 0.01). In the germination experiments, more than 90% of radish seeds germinated. Besides, their root length was higher compared to the control (p ≤ 0.05). The results of the study suggest that livestock wastewater can benefit crop cultivation after preliminary treatment. Finally, the experiments revealed a reduced soil salt accumulation.

Effect of the structure of artificial rain on the soil

The quality of irrigation by sprinklers is determined not only by the uniformity of the distribution of the rain layer over the irrigated area. If the water permeability exceeds the intensity of precipitation, then surface runoff does not occur. With an increase in soil moisture, water permeability decreases, and surface runoff increases, contributing to the washout of the fertile layer. The sprinkling machine “Kuban-LS” is installed 18…20 km west of Volgograd, located on the western slope of the Volga Upland. The soil cover has a complex character and is represented by carbonate light chestnut varieties of varying degrees of washout. The data on the effect of artificial rain created by a sprinkler machine on the soil structure and absorption rate are presented. Due to the partial destruction of agronomically valuable soil aggregates, the density of the arable layer from sowing to harvesting the grass mixture after each irrigation increased from 1.10…1.28 to 1.26…1.35 t/m3. The quality of irrigation by sprinklers is determined not only by the uniformity of rain distribution, but also by the conditions for the absorption of irrigation water into the soil. Based on these studies, we offer certain recommendations to reduce the negative impact on the soil.

Applied Water Depth and Soil Water Storage Uniformity Effects on Irrigation Quality and Crop Yield

Applied Water Depth and Soil Water Storage Uniformity Effects on Irrigation Quality and Crop Yield

Hydrogeochemical assessment of groundwater quality and suitability for irrigation in the coastal part of Cuddalore district, Tamil Nadu, India

A study was undertaken to identify in the irrigational suitability of groundwater in the cuddalore district (coastal part), Tamil Nadu, India. An entire study, 132 shallow and deep groundwater samples was gathered during Pre monsoon period (PRM) year of 2017 and post monsoon (POM) period samples collected year of 2018. Rock water interaction, silicate weathering and domestic waste are dominant sources for the water quality in the study area. The groundwater classification and irrigational suitability of groundwater were performed for both seasons. From the results of Chloro-Alkaline Indices (CAI I), and Chloro-Alkaline Indices (CAI II), during both seasons and classes, the direct ions exchange processes are predominant when compare with reverse ions exchange processes. The r1 and r2 results represents that most of the samples found as saline sources as Na+ - SO42− facies and performing with Deep Meteoric Percolation (DMP) than shallow meteoric percolation During PRM season, r1 represents 65 (98%) samples for Na+ - SO42− facies and 1 (2%) sample represents Na+ - HCO3− facies and during POM season, r1 represents 63 (95%) samples for Na+ - SO42− facies and 3 (5%) samples represent Na+ - HCO3− facies respectively. Irrigation water quality parameters like and satisfied the analysed water's irrigation suitability. However, according to MAR parameters, 5% of water samples were unsuitable for irrigation in PRM based on KR parameters, 41% of samples collected in the PRM season only were unsuitable for irrigation. The Wilcox diagram showed that 35% of water samples are suitable for irrigation. Sodium Adsorption Ratio (SAR), Soluble Sodium Percentage (SSP), Magnesium Adsorption Ratio (MAR), Permeability Index (PI), Potential Salinity (PS), and Total Dissolved Solids (TDS) are indicating the irrigational appropriateness of the groundwater samples, which is more suitable in post monsoon season compare to pre monsoon due to enrichment of Na+ by seawater intrusion and other processes. During POM season, the most number of groundwater samples are representing excellent to good categories might be due to an effective rainfall recharge by the monsoonal rain in the study area. The parameters indicated the introduction of geogenic and anthropogenic pollutions. The coastal community's knowledge is crucial to the long conservation of coastal water resources.