scholarly journals Groundwater Aquifer Suitability for Irrigation Purposes Using Multi-Criteria Decision Approach in Salah Al-Din Governorate/Iraq

2019 ◽  
Vol 1 (2) ◽  
pp. 303-323 ◽  
Author(s):  
Imzahim A. Alwan ◽  
Hussein H. Karim ◽  
Nadia A. Aziz
Keyword(s):  
Sodium Adsorption Ratio ◽  
Climate Data ◽  
Climate Factor ◽  
Weighted Overlay ◽  
The North ◽  
Groundwater Aquifer ◽  
Suitability Map ◽  
Kelly’S Ratio ◽  
Magnesium Adsorption Ratio ◽  
Groundwater Wells

In this study, GIS-based Multi-Criteria Decision Approach (MCDA) is used to identify suitable locations to use groundwater for irrigation purposes in Salah-Al-Din Governorate, 180 km to the North of Baghdad, capital of Iraq republic. Various criteria are adopted including Electrical Conductivity (EC), Power of Hydrogen (pH), Sodium percentage (Na%), Sodium Adsorption Ratio (SAR), Magnesium Adsorption Ratio (MAR), Kelly’s Ratio (KR), climate factor, aquifer thickness, and aquifer elevation. Three datasets are integrated to produce the suitability model, including geophysical data, groundwater wells data and satellite-based climate data. The criteria layers are assessed using the multi-criteria decision approach by combining them together using the weighted overlay function in ArcGIS 10.5. Appropriate weights assigned and integrated into GIS to create the groundwater suitability map for irrigation. Finally, the suitability of the study area for irrigation purposes with its percent to the total area is classified into three classes according to the set criteria used for this purpose: high suitability (35.41%), low suitability (44.22%), and unsuitable/excluded (20.37%).

scholarly journals Assessment of irrigation water qualities of Abak River, Abak, Akwa Ibom State, Nigeria

2019 ◽  
Vol 25 (2) ◽  
pp. 135-144
Author(s):  
E.A. Udom ◽  
A.E. Ekpo ◽  
S.I. Oluka
Keyword(s):  
Water Quality ◽  
Electrical Conductivity ◽  
Sodium Bicarbonate ◽  
River Water ◽  
Sodium Adsorption Ratio ◽  
Residual Sodium Carbonate ◽  
Permeability Index ◽  
Sodium Percentage ◽  
Kelly’S Ratio ◽  
Magnesium Adsorption Ratio

Irrigated agriculture is dependent on an adequate water supply of usable quality. Since water quality is very important for any intended use, the Abak River water which is used for irrigation by the Cross River Basin Development Authority and the rural communities around the river bank was assessed for irrigation purposes. The River water samples were assessed for four months (from November, 2016 to February, 2017 for its irrigation water qualities. The water samples were analyzed for major cations: Na+, Ca2+,K+,Mg2+ and anions: Cl-, SO42-, HCO3-, CO32- and NO3.The important constituents that influence the water quality for irrigation such as Electrical Conductivity (EC), Total Dissolved Solid (TDS), Sodium Adsorption Ratio (SAR), Magnesium Adsorption Ratio (MAR), Permeability Index (PI), Kelly’s Ratio (KR), Residual Sodium Bicarbonate (RSBC), Soluble Sodium Percentage (SSP), (RSC) Residual Sodium Carbonate and Potential Salinity (PS) were assessed and compared with standard limits. The values of Sodium Adsorption Ratio (0.4 to 0.64), Soluble Sodium Percentage (28.16 to 34.68%), Residual Sodium Bicarbonate (2.82 to 3.15 meq/L), Permeability Index (3.20 to 3.98%), Magnesium Adsorption Ratio (77.78 to 87.59%), Kelly’s Ratio (0.13 to 0.161 meq/L), Electrical Conductivity (20.5 to 22.5 μs/cm), Total Dissolved Solids (10.20 to 12.60 Mg/l) Residual Sodium Carbonate (0.298 to 0.8 meq/L) and Potential Salinity (1.09 – 1.358 meq/L) were found to be within the safe limits and thus suitable for irrigation purposes, except MAR which is above 50% the safe limit. The river water will thus cause neither salinity hazard nor has an adverse effect on the soil properties of the study area or on crops.Keywords: Abak River, Water Quality Irrigation, Parameters, Assessment

scholarly journals Object Based Modelling for the Irrigation Suitability using Hydrogeochemical Parameters and Land use Dynamics in the Lower Ganga

2022 ◽  
Author(s):  
Mohd Sayeed Ul Hasan ◽  
Abhishek Kumar Rai
Keyword(s):  
Agricultural Land ◽  
Chloride Concentration ◽  
Total Hardness ◽  
Climate Data ◽  
Entropy Weight ◽  
Ganga Basin ◽  
Irrigation Suitability ◽  
The North ◽  
Sodium Percent ◽  
Kelly’S Ratio

Abstract The north Indian Ganga basin is one of the densely populated basins of the world. Most agricultural and industrial contaminants drained throughout the river length are likely to be accumulated in the lower part of the Ganga basin. We used ten derived irrigation suitability parameters, which are obtained from 495 sampling points locations, besides using long term climate data (GLDAS_NOAH025_M) using “Technique for Order of Preference by Similarity to Ideal Solution” (TOPSIS) model to get the irrigation suitability map. Multi-Criteria Decision Making (MCDM) using TOPSIS helps make the best choices from the available finite number of alternatives based on their ranking. The obtained entropy weight for irrigation suitability parameters such as Electrical Conductivity (Ec), Sodium Adsorption Ratio (SAR), Magnesium Hardness (MH), Sodium Percent (Na%), Total Hardness (TH), Kelly’s ratio (KR), Permeability Index (PI), Chloride concentration (Cl−), Groundwater Level Fluctuation (GWLF), and lang factor (Df) are found to be 0.08, 0.14, 0.02, 0.02, 0.04, 0.08, 0.01, 0.32, 0.29 and 0.01 respectively. We find that SAR, Cl−, and GWLF controls the water quality for irrigation in the Lower Ganga basin since these parameters have relatively higher entropy weights (more than 0.10). The results obtained from the computed performance index or the closeness coefficient show that the area percent having very good, good, and very poor groundwater quality in the Lower Ganga basin is 34.67%,42.36%, and 22.97%, respectively. The LULC change pattern indicates that the percentage change of water and agricultural land was -11.96 and -0.86%, whereas an increase in the settlement area of 131.42% for the period between 2000 and 2015.

scholarly journals Sustainability of Groundwater for Irrigation Purposes in Semi-arid Parts of Namibia

2021 ◽  
Vol 3 ◽  
Author(s):  
Hilma Rantilla Amwele ◽  
Nnenesi Anna Kgabi ◽  
Liisa Indileni Kandjibi
Keyword(s):  
Electrical Conductivity ◽  
Hard Water ◽  
Total Dissolved Solids ◽  
Sodium Adsorption Ratio ◽  
Quality Data ◽  
Total Hardness ◽  
Sodium Percentage ◽  
Kelly’S Ratio ◽  
Magnesium Adsorption Ratio ◽  
Semi Arid

The groundwater quality data from 1,137 boreholes in 10 regions of Namibia were assessed for sodium adsorption ratio (SAR), Kelly's ratio (KR), sodium percentage (Na%), magnesium adsorption ratio (MAR), total hardness (TH), soluble sodium percentage (SSP), potential salinity (PS), electrical conductivity (EC), and total dissolved solids (TDS) to determine the suitability for the irrigation. The groundwater was classified as follows: all the regions' groundwater shows the TH as very hard water of >4.6 meq/l, PS as not suitable for irrigation (>3 meq/l), and EC as very highly (0.75–2.25 dS/m). However, Na%: 10% of regions have doubtful water (>80%), MAR: 30% of regions are not recommended for irrigation (>50 meq/l), and TDS: 90% of the regions have slightly moderate (450–2,000 mg/l) and 10% have groundwater that is unsuitable for agricultural purposes (>2,000 mg/l). The unsuitability of groundwater for irrigation could be due to higher concentrations of K+, Mg2+, Ca2+, and Cl− that has exceeded the FAO guideline for irrigation. Some groundwater qualities had inverse classification such as SAR all regions have excellent groundwater (<10 meq/l), KR: 90% of regions have safe water (<1 meq/l), Na%: 50% of regions have good groundwater (20–40%), 40% of the regions have permissible water (40–80%), and MAR: +70% of region's water is recommended for irrigation (<50 meq/l).

Spurious Grid-Scale Precipitation in the North American Regional Reanalysis

2007 ◽  
Vol 135 (6) ◽  
pp. 2168-2184 ◽  
Author(s):  
Gregory L. West ◽  
W. James Steenburgh ◽  
William Y. Y. Cheng
Keyword(s):  
North American ◽  
Prediction Models ◽  
Weather Prediction ◽  
Regional Climate ◽  
Potential Temperature ◽  
Climate Data ◽  
The North ◽  
North American Regional Reanalysis ◽  
Upper Level ◽  
Regional Reanalysis

Abstract Spurious grid-scale precipitation (SGSP) occurs in many mesoscale numerical weather prediction models when the simulated atmosphere becomes convectively unstable and the convective parameterization fails to relieve the instability. Case studies presented in this paper illustrate that SGSP events are also found in the North American Regional Reanalysis (NARR) and are accompanied by excessive maxima in grid-scale precipitation, vertical velocity, moisture variables (e.g., relative humidity and precipitable water), mid- and upper-level equivalent potential temperature, and mid- and upper-level absolute vorticity. SGSP events in environments favorable for high-based convection can also feature low-level cold pools and sea level pressure maxima. Prior to 2003, retrospectively generated NARR analyses feature an average of approximately 370 SGSP events annually. Beginning in 2003, however, NARR analyses are generated in near–real time by the Regional Climate Data Assimilation System (R-CDAS), which is identical to the retrospective NARR analysis system except for the input precipitation and ice cover datasets. Analyses produced by the R-CDAS feature a substantially larger number of SGSP events with more than 4000 occurring in the original 2003 analyses. An oceanic precipitation data processing error, which resulted in a reprocessing of NARR analyses from 2003 to 2005, only partially explains this increase since the reprocessed analyses still produce approximately 2000 SGSP events annually. These results suggest that many NARR SGSP events are not produced by shortcomings in the underlying Eta Model, but by the specification of anomalous latent heating when there is a strong mismatch between modeled and assimilated precipitation. NARR users should ensure that they are using the reprocessed NARR analyses from 2003 to 2005 and consider the possible influence of SGSP on their findings, particularly after the transition to the R-CDAS.

scholarly journals Sugarcane Yield Forecast in Ivory Coast (West Africa) Based on Weather and Vegetation Index Data

Atmosphere ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1459
Author(s):  
Edouard Pignède ◽  
Philippe Roudier ◽  
Arona Diedhiou ◽  
Vami Hermann N’Guessan Bi ◽  
Arsène T. Kobea ◽  
...  
Keyword(s):  
West Africa ◽  
Ivory Coast ◽  
Vegetation Index ◽  
Cultural Practices ◽  
Machine Learning Algorithms ◽  
Climate Data ◽  
Climate Services ◽  
Climate Risks ◽  
The North ◽  
Sugarcane Yield

One way to use climate services in the case of sugarcane is to develop models that forecast yields to help the sector to be better prepared against climate risks. In this study, several models for forecasting sugarcane yields were developed and compared in the north of Ivory Coast (West Africa). These models were based on statistical methods, ranging from linear regression to machine learning algorithms such as the random forest method, fed by climate data (rainfall, temperature); satellite products (NDVI, EVI from MODIS Vegetation Index product) and information on cropping practices. The results show that the forecasting of sugarcane yield depended on the area considered. At the plot level, the noise due to cultivation practices can hide the effects of climate on yields and leads to poor forecasting performance. However, models using satellite variables are more efficient and those with EVI alone may explain 43% of yield variations. Moreover, taking into account cultural practices in the model improves the score and enables one to forecast 3 months before harvest in 50% and 69% of cases whether yields will be high or low, respectively, with errors of only 10% and 2%, respectively. These results on the predictive potential of sugarcane yields are useful for planning and climate risk management in this sector.

scholarly journals SuitabilityAssessment of Sirsa River Water for irrigation in Shiwalik Foothills of North Western Himalaya

2019 ◽  
Vol 14 (1) ◽  
pp. 159-169
Author(s):  
S.K. Bhardwaj ◽  
R. Sharma ◽  
R.K. Aggarwal
Keyword(s):  
River Water ◽  
Western Himalaya ◽  
Quality Parameters ◽  
Sodium Adsorption Ratio ◽  
Permeability Index ◽  
Magnesium Hazard ◽  
Water Ph ◽  
Kelly’S Ratio ◽  
Sirsa River ◽  
North Western

Sirsa river runs through the central part of the Baddi Barotiwala Nalagarh (BBN) industrial region in district Solan of Himachal Pradesh. The water of this river is used for irrigating agricultural fields by the farmers. The increased industrial and urbanization activities in the valley are being pointed out as the cause of river water pollution by the farmers and other habitations in the region. Therefore, such reports prompted the idea to conduct this study to assess the river water suitability for irrigational commitments. Thus, Sirsa river water quality was assessed during the year 2018 by taking seven sampling sites as treatments which were replicated six times. To assess the suitability of Sirsa river water for irrigation purposes, various quality parameters such as pH, Electrical Conductivity (EC), Sodium Adsorption Ratio (SAR), Soluble Sodium Percentage (SSP), Residual Sodium Carbonate (RSC), Permeability Index (PI), Kelly’s Ratio (KR), Magnesium Hazard (Mg. Haz.)and Chloro-Alkaline Index (CAI) were determined. In the Sirsa river water pH, EC,RSC,SSP,SAR,PI,KR,Mg Hazand CAI were found in the range of 6.64-7.55, 129.50-719.67 µS/cm, -5.27 - -2.18 meq/l, 13.49-49.44%, 0.41-4.00%, 28.20-57.89%, 2.94-21.24%, 14.97-37.83%and 0.04-0.58%, respectively. All the factors were within the safe range for irrigation purposes except KR values. The high KR values above unity pointed out towards sodicity hazard of water which, therefore can not be used for irrigation purposes.

scholarly journals Spring and autumn phenology in sub-mesothermal beech stands from the southwestern extremity of the Carpathians

2020 ◽  
Vol 48 (2) ◽  
pp. 1057-1069
Author(s):  
Radu POPESCU ◽  
Neculae ȘOFLETEA
Keyword(s):  
Climate Change ◽  
Climate Data ◽  
Phenological Data ◽  
The Carpathians ◽  
The North ◽  
Research Areas ◽  
Forest Sites ◽  
Phenological Changes ◽  
Southwestern Area ◽  
The Impact

The research carried out was aimed to assessing the phenological behavior of beech (Fagus sylvatica L.) in the southwestern area of the Carpathians, in submesothermal forest sites, differentiated from the majority mesothermal ones of this species. The data obtained may be used for predicting the phenological changes of the species, especially in the Carpathian area, under the future influence of expected climate change. Assessments for spring and autumn phenology (buds burst -BB and foliation, flowering and leaves senescence) were carried out on a transect with a difference in altitude of 1000 meters, in phenological research areas located at 200 m, 700 m and 1200 m. At each altitude level, 100 trees of I and II Kraft classes were phenologically characterized: 50 trees on the south-facing slope (sunny exposure) and 50 on the north-facing slope (shade exposure).The phenological data were interpreted in relation to climate data recorded in each area by a HOBO U23 Pro v2 sensor. The site conditions of submesothermal climate in the low altitude area led to DOY (day of the year) values below 100. The phenological differentiation of populations is evident in relation with the altitude, while at the same altitudinal level the influence of the exposure was much lower. The gradiental values by altitude sectors highlighted the nonlinearity of the development of foliation phenophase, the value being lower in the first 500 m, where the beech is under the impact of the submesothermal climate. It has been proven both the dependence of the foliation onset depending on the cumulation of temperatures in relation to the DOY moment and also on the values recorded throughout the vegetative rest. The altitudinal gradiental values resulting for flowering in the first and second altitudinal half of transect also differentiate the stands, but are lower than that resulting for BB. The leaves senescence has a delay of 1.8 up to 2.4 days per 100 meters altitude, and the length of the vegetation season is reduced more sharply in the upper half of the analyzed altitudinal transect. The sub-mesothermal climate could be involved in condensation of spring phenophases in the stands of the lower half of the researched area. Our data may be used for predicting the phenological changes, especially in the Carpathian area, under the expected climate change.

scholarly journals Evaluation of Suitable Areas to Introduce a Closed-Loop Ground Source Heat Pump System in the Case of a Standard Japanese Detached Residence

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4294
Author(s):  
Gaurav Shrestha ◽  
Mayumi Yoshioka ◽  
Hikari Fujii ◽  
Youhei Uchida
Keyword(s):  
Heat Exchange ◽  
Heat Pump ◽  
Closed Loop ◽  
Ground Source Heat Pump ◽  
Standard Size ◽  
Pump System ◽  
Heat Pump System ◽  
The North ◽  
Ground Source ◽  
Suitability Map

Evaluation of appropriate areas to introduce a closed-loop ground-source heat pump (GSHP) system in the case of a standard detached residence was conducted in Akita Plain, Japan. Depth of borehole heat exchanger (BHE) required to use a GSHP system was taken as the suitability index, which is simpler for the general public to understand and to promote the system. Heating and cooling loads of the standard size detached residence were calculated based on the 2013 Energy Conservation Standard. To estimate BHE depths and estimate a suitable area, identical 3D BHE models were constructed at 30 points in the plain. Required BHE depths were determined by performing heat exchange simulations at each location using the calculated loads and heat exchange rates. A suitability map showing distribution of the required BHE depths was prepared. BHE depths were shorter in the north-western area compared to the other parts, implying that the coastal lowlands in this area are more suitable for closed-loop system in the standard detached residences in terms of heat exchange performance as well as the cost reduction. Thickly distributed Quaternary System with higher thermal conductivity is contributing to shorter BHE depths. The suitability map is effective to adopt potential areas for the system installation in the standard detached Japanese residences.

scholarly journals Assessment of kitchen wastewater quality for irrigation

2020 ◽  
Vol 10 (12) ◽  
Author(s):  
Rijwana Parwin ◽  
Kakoli Karar Paul
Keyword(s):  
Classification System ◽  
Fuzzy Inference ◽  
Sodium Adsorption Ratio ◽  
Inference System ◽  
Food And Agriculture ◽  
Food And Agriculture Organization ◽  
Wastewater Quality ◽  
Kelly’S Ratio ◽  
Lead Nickel ◽  
Standard Limit

AbstractIn this study, the potential reuse of kitchen wastewater (KWW) in irrigation was analyzed to reduce the present freshwater demand. To know the suitability of KWW for irrigation, the samples were first collected from an educational institute in India and then characterized according to its physical, chemical, and bacteriological properties. The characterized data were then compared with the standard limit for irrigation Food and Agriculture Organization (FAO in Water quality for agriculture. Irrigation and drainage paper 29, M56, 1994) and the US Salinity Laboratory (USSL). Apart from the above irrigation standards, the characterized data were also compared with sodium adsorption ratio (SAR), residual sodium carbonate, sodium percentage (Na%), magnesium hazard (MH), Kelly’s ratio (KR), and permeability index to get better clarity. From the characterization, it was found that carbonate, fluoride, chromium, and Escherichia coli were absent, whereas parameters like pH, chloride, iron, copper, magnesium, lead, nickel, sodium, calcium, zinc, aluminum, and sodium adsorption ratio were within the permissible limit. The result obtained from the USSL classification system suggested that 30.77% of KWW samples are safe for irrigation. Moreover, its quality was found to be safe for irrigation based on SAR, Na%, KR, and MH. For better decision making of KWW reuse in irrigation, the output of Mamdani fuzzy inference system (MFIS) was compared with the USSL classification system. The overall agreement between USSL and MFIS was found to be 55.6% for KWW.

scholarly journals Dynamic wavelet correlation analysis for multivariate climate time series

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Josué M. Polanco-Martínez ◽  
Javier Fernández-Macho ◽  
Martín Medina-Elizalde
Keyword(s):  
Time Series ◽  
Tropical Cyclone ◽  
North Atlantic ◽  
Large Scale ◽  
Southern Oscillation ◽  
Atlantic Multidecadal Oscillation ◽  
Last Millennium ◽  
Climate Data ◽  
The North ◽  
Climate Time Series

AbstractThe wavelet local multiple correlation (WLMC) is introduced for the first time in the study of climate dynamics inferred from multivariate climate time series. To exemplify the use of WLMC with real climate data, we analyse Last Millennium (LM) relationships among several large-scale reconstructed climate variables characterizing North Atlantic: i.e. sea surface temperatures (SST) from the tropical cyclone main developmental region (MDR), the El Niño-Southern Oscillation (ENSO), the North Atlantic Multidecadal Oscillation (AMO), and tropical cyclone counts (TC). We examine the former three large-scale variables because they are known to influence North Atlantic tropical cyclone activity and because their underlying drivers are still under investigation. WLMC results obtained for these multivariate climate time series suggest that: (1) MDRSST and AMO show the highest correlation with each other and with respect to the TC record over the last millennium, and: (2) MDRSST is the dominant climate variable that explains TC temporal variability. WLMC results confirm that this method is able to capture the most fundamental information contained in multivariate climate time series and is suitable to investigate correlation among climate time series in a multivariate context.

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