Pub Date : 2022-01-01DOI: 10.1177/11786221211045972
Habtamu Tamiru, Meseret Wagari, Bona Tadese
In this paper, the performance of Artificial Intelligence (AI) in Geospatial analysis and GIS platforms for the prospecting of potential groundwater zones was evaluated in Fincha catchment, Abay, Ethiopia. Components of geospatial data under morphometric, hydrologic, permeability, and surface dynamic change were confirmed as the criteria for prospecting groundwater potential zones. The influence of the individual criterion was ranked and weighted in Artificial Neural Networks (ANN) training model and Analytical Hierarchy Process (AHP). The correctness of the weights fixed in the ANN and AHP was evaluated with target data assigned to the networks and consistency index (CI) respectively. The weighted overlay analysis in the GIS environment was implemented to generate the promising zones in both approaches (ANN and GIS). The results obtained in the ANN model and GIS were evaluated based on pumping rate and ground-truthing points. Groundwater potential zones of five and four classes were delineated in AI and GIS techniques respectively, and this is an indicator for the effectiveness of AI in geospatial analysis for prospecting of potential zones than the traditional GIS technique. The percentage of accuracy in both methods was measured from the ROC curve and AUC. Therefore, it was found that the delineated groundwater potential zones and the ground-truthing points were agreed with 96% and 91% in the AI and GIS platforms respectively. Finally, it is concluded that the ANN model is an effective tool for the delineation of groundwater prospective zones.
{"title":"An integrated Artificial Intelligence and GIS spatial analyst tools for Delineation of Groundwater Potential Zones in complex terrain: Fincha Catchment, Abay Basi, Ethiopia","authors":"Habtamu Tamiru, Meseret Wagari, Bona Tadese","doi":"10.1177/11786221211045972","DOIUrl":"https://doi.org/10.1177/11786221211045972","url":null,"abstract":"In this paper, the performance of Artificial Intelligence (AI) in Geospatial analysis and GIS platforms for the prospecting of potential groundwater zones was evaluated in Fincha catchment, Abay, Ethiopia. Components of geospatial data under morphometric, hydrologic, permeability, and surface dynamic change were confirmed as the criteria for prospecting groundwater potential zones. The influence of the individual criterion was ranked and weighted in Artificial Neural Networks (ANN) training model and Analytical Hierarchy Process (AHP). The correctness of the weights fixed in the ANN and AHP was evaluated with target data assigned to the networks and consistency index (CI) respectively. The weighted overlay analysis in the GIS environment was implemented to generate the promising zones in both approaches (ANN and GIS). The results obtained in the ANN model and GIS were evaluated based on pumping rate and ground-truthing points. Groundwater potential zones of five and four classes were delineated in AI and GIS techniques respectively, and this is an indicator for the effectiveness of AI in geospatial analysis for prospecting of potential zones than the traditional GIS technique. The percentage of accuracy in both methods was measured from the ROC curve and AUC. Therefore, it was found that the delineated groundwater potential zones and the ground-truthing points were agreed with 96% and 91% in the AI and GIS platforms respectively. Finally, it is concluded that the ANN model is an effective tool for the delineation of groundwater prospective zones.","PeriodicalId":44801,"journal":{"name":"Air Soil and Water Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49478606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1177/11786221221117264
Duanpen Sirithian, Pantitcha Thanatrakolsri
Meteorological parameters play a crucial role in the ambient air quality of urban and rural environments. This study aims to investigate the relationship between meteorological parameters (including temperature, relative humidity, and wind speed) and the concentrations of PM2.5 and PM10 in the urban area and the rural area, northern Thailand during the haze period (January to April) from 2016 to 2020. Statistical analyses of the Spearman-Rank correlation coefficient and the multivariate gaussian regression were used to investigate the relationships. The secondary data of ambient PM2.5 and PM10 concentration and meteorological parameters were acquired from the Thai Pollution Control Department. The measurements are obtained using the Beta Ray attenuation method. The results showed that approximately 24% to 65% of daily average PM2.5 concentrations in the urban area over the study period exceeded Thailand’s National Ambient Air Quality Standards. The average PM2.5/PM10 ratios in the urban and the rural areas over the haze period were 0.69 and 0.66, respectively. Our analysis established a significant correlation between atmospheric temperature (r = 0.624) and relative humidity (r = −0.722) with the concentrations of PM2.5 and PM10. In both areas, PM2.5 and PM10 concentrations were also positively correlated with temperature. In contrast, relative humidity was significantly related with the decrease of PM2.5 and PM10 concentrations. However, wind speed does not affect PM2.5 and PM10 concentrations. Additionally, the daily backward trajectories using the hybrid-single particle Lagrangian integrated trajectory model also demonstrated air mass movement in March mostly came from the southwesterly direction, which moved through the highlands, the large biomass burned areas, upwind neighboring provinces, and transboundary transports before reaching the air monitoring stations. Our findings improve the understanding of particulate matter pollution and meteorological patterns during annual haze periods in the urban and rural areas. We expect the output of this study can help improve existing haze mitigation measures for improving the prediction accuracy of air pollution under variable meteorological parameters.
{"title":"Relationships between Meteorological and Particulate Matter Concentrations (PM2.5 and PM10) during the Haze Period in Urban and Rural Areas, Northern Thailand","authors":"Duanpen Sirithian, Pantitcha Thanatrakolsri","doi":"10.1177/11786221221117264","DOIUrl":"https://doi.org/10.1177/11786221221117264","url":null,"abstract":"Meteorological parameters play a crucial role in the ambient air quality of urban and rural environments. This study aims to investigate the relationship between meteorological parameters (including temperature, relative humidity, and wind speed) and the concentrations of PM2.5 and PM10 in the urban area and the rural area, northern Thailand during the haze period (January to April) from 2016 to 2020. Statistical analyses of the Spearman-Rank correlation coefficient and the multivariate gaussian regression were used to investigate the relationships. The secondary data of ambient PM2.5 and PM10 concentration and meteorological parameters were acquired from the Thai Pollution Control Department. The measurements are obtained using the Beta Ray attenuation method. The results showed that approximately 24% to 65% of daily average PM2.5 concentrations in the urban area over the study period exceeded Thailand’s National Ambient Air Quality Standards. The average PM2.5/PM10 ratios in the urban and the rural areas over the haze period were 0.69 and 0.66, respectively. Our analysis established a significant correlation between atmospheric temperature (r = 0.624) and relative humidity (r = −0.722) with the concentrations of PM2.5 and PM10. In both areas, PM2.5 and PM10 concentrations were also positively correlated with temperature. In contrast, relative humidity was significantly related with the decrease of PM2.5 and PM10 concentrations. However, wind speed does not affect PM2.5 and PM10 concentrations. Additionally, the daily backward trajectories using the hybrid-single particle Lagrangian integrated trajectory model also demonstrated air mass movement in March mostly came from the southwesterly direction, which moved through the highlands, the large biomass burned areas, upwind neighboring provinces, and transboundary transports before reaching the air monitoring stations. Our findings improve the understanding of particulate matter pollution and meteorological patterns during annual haze periods in the urban and rural areas. We expect the output of this study can help improve existing haze mitigation measures for improving the prediction accuracy of air pollution under variable meteorological parameters.","PeriodicalId":44801,"journal":{"name":"Air Soil and Water Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48678410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1177/11786221211065485
Susmita Ghosh, B. Sarkar, A. Islam, P. Shit
The present work aims to investigate the hydro-chemical properties of the surface and groundwater of the Mayurakshi River Basin, India for assessing their irrigation suitability with respect to irrigation hazards. The study involves 72 water samples classified as 48 surface water samples (pre-monsoon: 24, post-monsoon: 24) and 24 groundwater samples (pre-monsoon: 12, post-monsoon: 12). The study of ionic chemistry reveals that the cations of both the surface water and groundwater are in the order of Ca2+ > Mg2+ > Na+ > K+ while the anions are in the order of Cl− > SO42 > PO43− > NO3−. Moreover, as per the U.S. Salinity Laboratory Staff classification of irrigation, ~ 41.67% of the groundwater samples belong to the C3S1 category indicating high salinity and low sodicity hazard while ~ 33% of samples of surface water fall into the field of C1S1 category representing low salinity and low sodicity hazard. Besides, regarding the specific irrigation hazard, percent sodium and soluble sodium percentage have also portrayed the groundwater vulnerability to sodium while the surface water is observed free from this kind of hazard. Similar findings have also been retained for magnesium hazard and potential salinity hazard. Moreover, regarding the seasonality of the hazards, the post-monsoon season has depicted a higher level of irrigation hazards compared to the pre-monsoon season. The study finds that the general evolution of groundwater hydrochemistry and the suitability of water for irrigation is principally governed by carbonate weathering. Moreover, anthropogenic activities such as sand mining, stone crushing, and the development of brick kiln industries are found to play an important role in irrigation suitability.
{"title":"Assessing the Suitability of Surface Water and Groundwater for Irrigation Based on Hydro-chemical Analysis: A Study of the Mayurakshi River Basin, India","authors":"Susmita Ghosh, B. Sarkar, A. Islam, P. Shit","doi":"10.1177/11786221211065485","DOIUrl":"https://doi.org/10.1177/11786221211065485","url":null,"abstract":"The present work aims to investigate the hydro-chemical properties of the surface and groundwater of the Mayurakshi River Basin, India for assessing their irrigation suitability with respect to irrigation hazards. The study involves 72 water samples classified as 48 surface water samples (pre-monsoon: 24, post-monsoon: 24) and 24 groundwater samples (pre-monsoon: 12, post-monsoon: 12). The study of ionic chemistry reveals that the cations of both the surface water and groundwater are in the order of Ca2+ > Mg2+ > Na+ > K+ while the anions are in the order of Cl− > SO42 > PO43− > NO3−. Moreover, as per the U.S. Salinity Laboratory Staff classification of irrigation, ~ 41.67% of the groundwater samples belong to the C3S1 category indicating high salinity and low sodicity hazard while ~ 33% of samples of surface water fall into the field of C1S1 category representing low salinity and low sodicity hazard. Besides, regarding the specific irrigation hazard, percent sodium and soluble sodium percentage have also portrayed the groundwater vulnerability to sodium while the surface water is observed free from this kind of hazard. Similar findings have also been retained for magnesium hazard and potential salinity hazard. Moreover, regarding the seasonality of the hazards, the post-monsoon season has depicted a higher level of irrigation hazards compared to the pre-monsoon season. The study finds that the general evolution of groundwater hydrochemistry and the suitability of water for irrigation is principally governed by carbonate weathering. Moreover, anthropogenic activities such as sand mining, stone crushing, and the development of brick kiln industries are found to play an important role in irrigation suitability.","PeriodicalId":44801,"journal":{"name":"Air Soil and Water Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49584225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1177/11786221221128789
Morad Mirzaei, Manouchehr Gorji Anari, A. Taghizadeh-Toosi, M. Zaman, N. Saronjic, S. Mohammed, S. Szabó, Andrés Caballero-Calvo
Agricultural activity is the major anthropogenic source of nitrous oxide (N2O) emissions from terrestrial ecosystems. Conservation agriculture including crop residue management can play a key role in enhancing soil resilience to climate change and mitigating N2O emissions. We investigated the effects of crop residue rates, including 100 % (R100), 50 % (R50), and residue removal (R0), on N2O emissions in corn-wheat rotation under conventional (CT) and no-tillage (NT) systems. The key factors evaluated affecting N2O emissions included soil temperature, soil moisture, soil ammonium, and soil nitrate concentrations. Results showed that the N2O emissions increased with the increasing rate of residue under both CT and NT systems. Both R100 and R50 significantly (p < .05) increased the N2O emissions compared to R0 during the annual rotation cycle. Soil moisture and mineral nitrogen (ammonium and nitrate) were the main driving factors that stimulated N2O emission in both CT and NT systems. In the NT and CT systems, cumulative N2O emissions showed a significant increase with R50 (+75.5 % in NT, +36.5 % in CT) and R100 (+134 % in NT, +40 % in CT) as compared to R0. Furthermore, no significant differences were found between R100 and R50 in the CT system, while in the NT system significant increases were observed for R100 compared to R50. Overall, our study justified as a first approach only during the first year that crop residue removal led to decreased N2O emissions under semi-arid conditions. However, due to the deteriorating impact of crop residue removal on crop productivity and soil C sequestration, this management method cannot be considered a sustainable agronomic practice. We suggest long-term studies to determine the appropriate rate of postharvest crop residue to achieve less N2O emissions and climate-friendly agricultural practices.
农业活动是陆地生态系统中氧化亚氮(N2O)排放的主要人为来源。包括作物残茬管理在内的保护性农业可以在增强土壤对气候变化的适应能力和减少一氧化二氮排放方面发挥关键作用。研究了常规(CT)和免耕(NT)制度下，100% (R100)、50% (R50)和残茬去除率(R0)对玉米-小麦轮作N2O排放的影响。影响N2O排放的关键因子包括土壤温度、土壤湿度、土壤铵态氮和土壤硝酸盐浓度。结果表明:在CT和NT两种体系下，N2O排放量均随残渣率的增加而增加。与R0相比，R100和R50在年轮作周期内显著(p < 0.05)增加了N2O排放量。土壤水分和矿质氮(铵态氮和硝态氮)是促进旱作系统和旱作系统N2O排放的主要驱动因子。在NT和CT系统中，与R0相比，R50 (NT + 75.5%， CT + 36.5%)和R100 (NT + 134%， CT + 40%)的累积N2O排放量显著增加。此外，R100和R50在CT系统中无显著差异，而在NT系统中R100与R50相比显著升高。总的来说，我们的研究证明，作为第一种方法，在半干旱条件下，只有在第一年去除作物秸秆导致N2O排放减少。然而，由于作物残茬清除对作物生产力和土壤碳固存的影响日益恶化，这种管理方法不能被认为是一种可持续的农艺做法。我们建议进行长期研究，以确定收获后作物残留物的适当比例，以实现减少N2O排放和气候友好型农业实践。
{"title":"Soil Nitrous Oxide Emissions Following Crop Residues Management in Corn-Wheat Rotation Under Conventional and No-Tillage Systems","authors":"Morad Mirzaei, Manouchehr Gorji Anari, A. Taghizadeh-Toosi, M. Zaman, N. Saronjic, S. Mohammed, S. Szabó, Andrés Caballero-Calvo","doi":"10.1177/11786221221128789","DOIUrl":"https://doi.org/10.1177/11786221221128789","url":null,"abstract":"Agricultural activity is the major anthropogenic source of nitrous oxide (N2O) emissions from terrestrial ecosystems. Conservation agriculture including crop residue management can play a key role in enhancing soil resilience to climate change and mitigating N2O emissions. We investigated the effects of crop residue rates, including 100 % (R100), 50 % (R50), and residue removal (R0), on N2O emissions in corn-wheat rotation under conventional (CT) and no-tillage (NT) systems. The key factors evaluated affecting N2O emissions included soil temperature, soil moisture, soil ammonium, and soil nitrate concentrations. Results showed that the N2O emissions increased with the increasing rate of residue under both CT and NT systems. Both R100 and R50 significantly (p < .05) increased the N2O emissions compared to R0 during the annual rotation cycle. Soil moisture and mineral nitrogen (ammonium and nitrate) were the main driving factors that stimulated N2O emission in both CT and NT systems. In the NT and CT systems, cumulative N2O emissions showed a significant increase with R50 (+75.5 % in NT, +36.5 % in CT) and R100 (+134 % in NT, +40 % in CT) as compared to R0. Furthermore, no significant differences were found between R100 and R50 in the CT system, while in the NT system significant increases were observed for R100 compared to R50. Overall, our study justified as a first approach only during the first year that crop residue removal led to decreased N2O emissions under semi-arid conditions. However, due to the deteriorating impact of crop residue removal on crop productivity and soil C sequestration, this management method cannot be considered a sustainable agronomic practice. We suggest long-term studies to determine the appropriate rate of postharvest crop residue to achieve less N2O emissions and climate-friendly agricultural practices.","PeriodicalId":44801,"journal":{"name":"Air Soil and Water Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43603034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1177/11786221211063888
Mekonnen Birhanie Aregu
The discharge of untreated wastewater causes serious public and environmental health problems. Hence, the present study aimed to evaluate the combined adsorption potential of the two substrates (Pumice and Scoria) in a horizontal subsurface flow constructed wetland. The substrates were collected from the Ethiopian rift belt. Composite samples from tannery wastewater before and after treatment of four different retention times (RT) were collected and analyzed. Chrysopogon zizanioides was planted in one of the mixed substrate beds and grown for 5 months before running wastewater for the treatment. The maximum removal efficiency of the planted bed revealed that BOD5 at RT 7 days effluent concentration of 59.33 mg/L (96.38% removal), COD at RT 7 days 129.33 mg/L (98.14% removal), NO3-N at RT 7 days 0.28 mg/L (99.76% removal), TN 27.33 mg/L (95.80% removal), PO4-P RT 9 days 0.01 mg/L (99.9% removal), TP at RT 7 days 6 mg/L (95% removal), Sulfide at RT 7 days 0.27 mg/L (99.9% removal), sulfate at RT 9 days 87.9 mg/L (91.8% removal), and total Chromium at RT 7 days 0.1 mg/L (99.45% removal) respectively. The efficiency of the study and control beds was tested by a Two-Sample t-Test. The result showed that there was a significant difference at a 95% confidence interval, p-value = .002. Hence, the mixed substrate with plants performs better than the unplanted one, which means it can be effective for the treatment of high-strength industrial wastewater using horizontal subsurface flow constructed wetland.
{"title":"Industrial Wastewater Treatment Efficiency of Mixed Substrate (Pumice and Scoria) in Horizontal Subsurface Flow Constructed Wetland: Comparative Experimental Study Design","authors":"Mekonnen Birhanie Aregu","doi":"10.1177/11786221211063888","DOIUrl":"https://doi.org/10.1177/11786221211063888","url":null,"abstract":"The discharge of untreated wastewater causes serious public and environmental health problems. Hence, the present study aimed to evaluate the combined adsorption potential of the two substrates (Pumice and Scoria) in a horizontal subsurface flow constructed wetland. The substrates were collected from the Ethiopian rift belt. Composite samples from tannery wastewater before and after treatment of four different retention times (RT) were collected and analyzed. Chrysopogon zizanioides was planted in one of the mixed substrate beds and grown for 5 months before running wastewater for the treatment. The maximum removal efficiency of the planted bed revealed that BOD5 at RT 7 days effluent concentration of 59.33 mg/L (96.38% removal), COD at RT 7 days 129.33 mg/L (98.14% removal), NO3-N at RT 7 days 0.28 mg/L (99.76% removal), TN 27.33 mg/L (95.80% removal), PO4-P RT 9 days 0.01 mg/L (99.9% removal), TP at RT 7 days 6 mg/L (95% removal), Sulfide at RT 7 days 0.27 mg/L (99.9% removal), sulfate at RT 9 days 87.9 mg/L (91.8% removal), and total Chromium at RT 7 days 0.1 mg/L (99.45% removal) respectively. The efficiency of the study and control beds was tested by a Two-Sample t-Test. The result showed that there was a significant difference at a 95% confidence interval, p-value = .002. Hence, the mixed substrate with plants performs better than the unplanted one, which means it can be effective for the treatment of high-strength industrial wastewater using horizontal subsurface flow constructed wetland.","PeriodicalId":44801,"journal":{"name":"Air Soil and Water Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42209382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1177/11786221221114310
N. Jadid, Ira Puspaningtyas, Adillatul Lathiifatun Jannah, C. E. Safitri, Vidya Hana Dameria Hutahuruk
Cadmium (Cd) contamination is considered as one of the most important environmental and human health issues worldwide. The occurrence of Cd in air, water and soil is resulted from massive industrialization, uncontrolled agricultural system and anthropogenic activities in urban lives. The presence of Cd in soil threatens human health through food chain bioaccumulation, negatively affect soil quality and also reduce the productivity of agricultural crops. Foxtail millet (Setaria italica L.) is an alternative cereal food that is highly tolerant to abiotic stresses such as drought and salinity. However, the mechanism underlying its response to the stress caused by heavy metals, such as Cd, remains unclear. This study aimed to examine the effects of Cd stress on morpho-physiological responses of the foxtail millet accession Buru Merah, cultivated using the hydroponic method. To this end, four levels of Cd concentrations (0, 0.5, 1.0, and 1.5 µM in ABmix™ growth media) were applied for 4 weeks followed by morpho-physiological assessements, including plant height, root length, shoot and leaf number, panicle biomass measurements and chlorophyll content evaluation. Our results demonstrated that Cd stress perturbed the growth of foxtail millet on morpho-physiological parameters, particularly at the highest Cd concentration (1.5 µM). The negative effects of Cd stress included decrease in shoot length, root length, number of leaves and shoots, panicle biomass, and chlorophyll content. Furthermore, our findings showed that Cd stress affected the growth of foxtail millet in a concentration-dependent manner. Taken together, our findings might be useful for further development of strategies to increase plant tolerance to heavy metal stress and ensure sustainable food production. In addition, this study also demonstrated the importance of protecting nature from Cd contamination.
镉污染被认为是世界范围内最重要的环境和人类健康问题之一。大气、水和土壤中镉的产生是大规模工业化、农业系统失控和城市生活中人类活动的结果。土壤中镉的存在通过食物链生物累积威胁着人类健康，对土壤质量产生负面影响，也降低了农作物的生产力。狐尾小米（Setaria italica L.）是一种替代谷物食品，对干旱和盐度等非生物胁迫具有高度耐受性。然而，其对镉等重金属引起的应力反应的机制尚不清楚。本研究旨在研究镉胁迫对水培法培育的谷子品种Buru Merah形态生理反应的影响。为此，四个水平的Cd浓度（0、0.5、1.0和1.5 ABmix中的µM™ 生长培养基）施用4 周后进行形态生理评估，包括株高、根长、茎叶数、穗部生物量测量和叶绿素含量评估。我们的研究结果表明，镉胁迫对谷子的形态生理参数产生了干扰，尤其是在最高镉浓度（1.5 µM）。镉胁迫的负面影响包括地上部长度、根系长度、叶片和地上部数量、穗部生物量和叶绿素含量的降低。此外，我们的研究结果表明，镉胁迫以浓度依赖的方式影响谷子的生长。总之，我们的发现可能有助于进一步制定提高植物对重金属胁迫耐受性的战略，并确保可持续的粮食生产。此外，这项研究还证明了保护自然免受镉污染的重要性。
{"title":"Growth Responses of Indonesian Foxtail Millet (Setaria italica (L.) Beauv.) to Cadmium Stress","authors":"N. Jadid, Ira Puspaningtyas, Adillatul Lathiifatun Jannah, C. E. Safitri, Vidya Hana Dameria Hutahuruk","doi":"10.1177/11786221221114310","DOIUrl":"https://doi.org/10.1177/11786221221114310","url":null,"abstract":"Cadmium (Cd) contamination is considered as one of the most important environmental and human health issues worldwide. The occurrence of Cd in air, water and soil is resulted from massive industrialization, uncontrolled agricultural system and anthropogenic activities in urban lives. The presence of Cd in soil threatens human health through food chain bioaccumulation, negatively affect soil quality and also reduce the productivity of agricultural crops. Foxtail millet (Setaria italica L.) is an alternative cereal food that is highly tolerant to abiotic stresses such as drought and salinity. However, the mechanism underlying its response to the stress caused by heavy metals, such as Cd, remains unclear. This study aimed to examine the effects of Cd stress on morpho-physiological responses of the foxtail millet accession Buru Merah, cultivated using the hydroponic method. To this end, four levels of Cd concentrations (0, 0.5, 1.0, and 1.5 µM in ABmix™ growth media) were applied for 4 weeks followed by morpho-physiological assessements, including plant height, root length, shoot and leaf number, panicle biomass measurements and chlorophyll content evaluation. Our results demonstrated that Cd stress perturbed the growth of foxtail millet on morpho-physiological parameters, particularly at the highest Cd concentration (1.5 µM). The negative effects of Cd stress included decrease in shoot length, root length, number of leaves and shoots, panicle biomass, and chlorophyll content. Furthermore, our findings showed that Cd stress affected the growth of foxtail millet in a concentration-dependent manner. Taken together, our findings might be useful for further development of strategies to increase plant tolerance to heavy metal stress and ensure sustainable food production. In addition, this study also demonstrated the importance of protecting nature from Cd contamination.","PeriodicalId":44801,"journal":{"name":"Air Soil and Water Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42290735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1177/11786221221111935
DeepChand, Noor Afshan Khan, Priyanka Saxena, S. Goyal
The importance of water quality is well understood, and it becomes even more critical when is use for drinking purposes. A case study was carried out to know the applicability of GIS tool for determining the quality of supply water. Water samples from 21 houses at different locations of Delhi were collected. Sample analysis was done for physicochemical parameters viz., pH, EC, TDS, Total Hardness, Total Alkalinity, Chloride, Fluoride, and Nitrate. The water quality data from these selected locations was analyzed using Geographical Information System (GIS) Technique. GIS software did interpolation through the inverse distance weighted (IDW) method to know the water quality (WQ) in different part of the city for various parameters mentioned above and prepare thematic maps from the analysis of water quality data as a database. These thematic maps show the distribution of different water quality parameters. Using Weighted Arithmetic Index (WAI) method, Water Quality Index is calculated. After that, the Drinking Water Quality Index (DWQI) map was generated using thematic layer, reclassification, and weight value assigned in weighted overlay tools in GIS software. Five categories viz., excellent, good, satisfactory, poor, and very poor is assign to describe DWQI. Out of all the selected locations, DWQI was good only at two locations, whereas, at the remaining sites, the DWQI was found satisfactory. However, the overall water quality was found suitable for human consumption. The analysis outcome was represented as maps that will be advantageous to know the water quality status for the area under study. The spatial database established can be a reliable technique for monitoring and managing water quality in the water supply system.
{"title":"Assessment of Supply Water Quality Using GIS Tool for Selected Locations in Delhi—A Case Study","authors":"DeepChand, Noor Afshan Khan, Priyanka Saxena, S. Goyal","doi":"10.1177/11786221221111935","DOIUrl":"https://doi.org/10.1177/11786221221111935","url":null,"abstract":"The importance of water quality is well understood, and it becomes even more critical when is use for drinking purposes. A case study was carried out to know the applicability of GIS tool for determining the quality of supply water. Water samples from 21 houses at different locations of Delhi were collected. Sample analysis was done for physicochemical parameters viz., pH, EC, TDS, Total Hardness, Total Alkalinity, Chloride, Fluoride, and Nitrate. The water quality data from these selected locations was analyzed using Geographical Information System (GIS) Technique. GIS software did interpolation through the inverse distance weighted (IDW) method to know the water quality (WQ) in different part of the city for various parameters mentioned above and prepare thematic maps from the analysis of water quality data as a database. These thematic maps show the distribution of different water quality parameters. Using Weighted Arithmetic Index (WAI) method, Water Quality Index is calculated. After that, the Drinking Water Quality Index (DWQI) map was generated using thematic layer, reclassification, and weight value assigned in weighted overlay tools in GIS software. Five categories viz., excellent, good, satisfactory, poor, and very poor is assign to describe DWQI. Out of all the selected locations, DWQI was good only at two locations, whereas, at the remaining sites, the DWQI was found satisfactory. However, the overall water quality was found suitable for human consumption. The analysis outcome was represented as maps that will be advantageous to know the water quality status for the area under study. The spatial database established can be a reliable technique for monitoring and managing water quality in the water supply system.","PeriodicalId":44801,"journal":{"name":"Air Soil and Water Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47003199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1177/11786221221080183
D. X. Flores-Cervantes, Claudia Medina-Montiel, N. Ramírez‐Corona, Ricardo Navarro-Amador
Water pollution and scarcity are two of the most serious problems humanity is currently facing. Therefore, it is important to develop effective and inexpensive technologies and treatments to remove key pollutants from water. Zr based Metal-Organic Frameworks (MOFs) are new materials with the potential to remove organic and inorganic pollutants. However, it is important to critically analyze their performance in laboratory trials to evaluate their scalability potential for wastewater treatment. This document presents a critical review of the most recent studies and advances regarding Zr based MOFs, specifically the UiO-66 and Ui-O67 MOFs and analogous materials. We found that, although these materials are effective at removing inorganic and organic pollutants in water, there are still available research opportunities and knowledge gaps that need to be addressed. There is a need to further understand the mechanisms involved in the removal process to be able to develop more effective materials and/or to determine the best operating conditions during its implementation. Variations in removal efficiencies between the same MOFs also call for a more detailed description of the synthesis, as well as a better characterization of the material. This is because small variations in the characteristics of MOFs lead to non-homogeneous results, making accurate predictions of their removal capacity more difficult to determine. Finally, there is a need to better understand the stability of Zr based MOFs, as well as their removal capacity and reusability in wastewater with competitive ions, at standard pH and temperature operating conditions.
{"title":"Zirconium Based MOFs and Their Potential Use in Water Remediation: Current Achievements and Possibilities","authors":"D. X. Flores-Cervantes, Claudia Medina-Montiel, N. Ramírez‐Corona, Ricardo Navarro-Amador","doi":"10.1177/11786221221080183","DOIUrl":"https://doi.org/10.1177/11786221221080183","url":null,"abstract":"Water pollution and scarcity are two of the most serious problems humanity is currently facing. Therefore, it is important to develop effective and inexpensive technologies and treatments to remove key pollutants from water. Zr based Metal-Organic Frameworks (MOFs) are new materials with the potential to remove organic and inorganic pollutants. However, it is important to critically analyze their performance in laboratory trials to evaluate their scalability potential for wastewater treatment. This document presents a critical review of the most recent studies and advances regarding Zr based MOFs, specifically the UiO-66 and Ui-O67 MOFs and analogous materials. We found that, although these materials are effective at removing inorganic and organic pollutants in water, there are still available research opportunities and knowledge gaps that need to be addressed. There is a need to further understand the mechanisms involved in the removal process to be able to develop more effective materials and/or to determine the best operating conditions during its implementation. Variations in removal efficiencies between the same MOFs also call for a more detailed description of the synthesis, as well as a better characterization of the material. This is because small variations in the characteristics of MOFs lead to non-homogeneous results, making accurate predictions of their removal capacity more difficult to determine. Finally, there is a need to better understand the stability of Zr based MOFs, as well as their removal capacity and reusability in wastewater with competitive ions, at standard pH and temperature operating conditions.","PeriodicalId":44801,"journal":{"name":"Air Soil and Water Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47399307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1177/11786221221135164
M. Rahman, J. Ferdouse, A. Ullah, Md. Towhid Hossain
The present study was undertaken to determine a holistic picture of pollution comprising the physicochemical and microbiological properties of the Halda River water of Bangladesh. A total 45 samples were collected from five sampling sites. Different water quality parameters including temperature, pH, dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), total suspended solids (TSS), total dissolved solids (TDS), total solids (TS), turbidity, concentration of heavy metals, total bacterial count (TBC), total coliform (TC), and fecal coliforms (FC) were assessed. Isolation and identification of 10 bacterial isolates was done using their cultural, morphological, physiological, biochemical characteristics, and 16S rRNA gene sequencing analysis. Antibiotic sensitivity of selected isolates was also investigated. DO (6–14.67 mgL−1), BOD (2–8 mgL−1), COD (40.43–107.63 mgL−1), TSS (818.33–3,180 mgL−1), TS (1,039.33–3,897.33 mgL−1), and turbidity (40.09–355 NTU), TBC (7.2 × 103–3.83 × 105 CFU/mL), FC (0.7 × 102–3.9 × 103/100 mL) were measured in both non breeding and breeding time that implies the pollution of the Halda river water. Heavy metal concentration was found within standard limit. Among the isolates, Bacillus wiedmannii strain HSA2 (accession no. MT102620) showed multidrug-resistant, which is a matter of great concern. According to the study findings, the water quality of the Halda river is being deteriorated, posing a threat to public health as well as the aquatic environment.
{"title":"Water Quality Assessment and Identification of Novel Bacterial Strains in the Halda River Water of Bangladesh","authors":"M. Rahman, J. Ferdouse, A. Ullah, Md. Towhid Hossain","doi":"10.1177/11786221221135164","DOIUrl":"https://doi.org/10.1177/11786221221135164","url":null,"abstract":"The present study was undertaken to determine a holistic picture of pollution comprising the physicochemical and microbiological properties of the Halda River water of Bangladesh. A total 45 samples were collected from five sampling sites. Different water quality parameters including temperature, pH, dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), total suspended solids (TSS), total dissolved solids (TDS), total solids (TS), turbidity, concentration of heavy metals, total bacterial count (TBC), total coliform (TC), and fecal coliforms (FC) were assessed. Isolation and identification of 10 bacterial isolates was done using their cultural, morphological, physiological, biochemical characteristics, and 16S rRNA gene sequencing analysis. Antibiotic sensitivity of selected isolates was also investigated. DO (6–14.67 mgL−1), BOD (2–8 mgL−1), COD (40.43–107.63 mgL−1), TSS (818.33–3,180 mgL−1), TS (1,039.33–3,897.33 mgL−1), and turbidity (40.09–355 NTU), TBC (7.2 × 103–3.83 × 105 CFU/mL), FC (0.7 × 102–3.9 × 103/100 mL) were measured in both non breeding and breeding time that implies the pollution of the Halda river water. Heavy metal concentration was found within standard limit. Among the isolates, Bacillus wiedmannii strain HSA2 (accession no. MT102620) showed multidrug-resistant, which is a matter of great concern. According to the study findings, the water quality of the Halda river is being deteriorated, posing a threat to public health as well as the aquatic environment.","PeriodicalId":44801,"journal":{"name":"Air Soil and Water Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45168253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1177/11786221221086285
Mohammad Mansourmoghaddam, Hamidreza Ghafarian Malamiri, F. Arabi Aliabad, M. Fallah Tafti, Mohamadreza Haghani, S. Shojaei
Prioritization of pathways to perform asphalt pavement operations has always been one of the most important concerns for municipalities, for which, currently there is no specific planning and pattern. In the present study, using (Unmanned Aerial Vehicle) UAV images, a land cover map of the case study was prepared. For this purpose, the accuracy of various object-based classification methods including the Bayes method, the Support Vector Machine (SVM), the K nearest neighbor (KNN), the Decision tree (DT), and the Random tree (RT) was investigated. Findings of the study showed that by increasing heterogeneity in the composition of the studied phenomenon in the image, different classification algorithms offer results different from each other. The obtained results of the accuracy evaluation of classification methods indicate that the SVM method with 80% kappa coefficient and 89% overall accuracy had the best performance compared to other methods. As a result, built-up land covers, bare land, vegetation cover, and paved roads were separated using this method. Then, the exact boundary of pathways was prepared using Google Earth images, and then, using the land-use map prepared from the case study, the roads were divided into two categories: paved and unpaved. To determine the prioritization of unpaved roads for applying asphalt, the proportion of built-up lands (BUL) to bare (non-built-up) lands (BL) was used in each path. Based on the obtained results, 1% of the roads in the case study was placed on a very high level of asphalt, and then 9%, 3%, 49%, 38%, were placed on a high priority to low priority, respectively.
{"title":"The Separation of the Unpaved Roads and Prioritization of Paving These Roads Using UAV Images","authors":"Mohammad Mansourmoghaddam, Hamidreza Ghafarian Malamiri, F. Arabi Aliabad, M. Fallah Tafti, Mohamadreza Haghani, S. Shojaei","doi":"10.1177/11786221221086285","DOIUrl":"https://doi.org/10.1177/11786221221086285","url":null,"abstract":"Prioritization of pathways to perform asphalt pavement operations has always been one of the most important concerns for municipalities, for which, currently there is no specific planning and pattern. In the present study, using (Unmanned Aerial Vehicle) UAV images, a land cover map of the case study was prepared. For this purpose, the accuracy of various object-based classification methods including the Bayes method, the Support Vector Machine (SVM), the K nearest neighbor (KNN), the Decision tree (DT), and the Random tree (RT) was investigated. Findings of the study showed that by increasing heterogeneity in the composition of the studied phenomenon in the image, different classification algorithms offer results different from each other. The obtained results of the accuracy evaluation of classification methods indicate that the SVM method with 80% kappa coefficient and 89% overall accuracy had the best performance compared to other methods. As a result, built-up land covers, bare land, vegetation cover, and paved roads were separated using this method. Then, the exact boundary of pathways was prepared using Google Earth images, and then, using the land-use map prepared from the case study, the roads were divided into two categories: paved and unpaved. To determine the prioritization of unpaved roads for applying asphalt, the proportion of built-up lands (BUL) to bare (non-built-up) lands (BL) was used in each path. Based on the obtained results, 1% of the roads in the case study was placed on a very high level of asphalt, and then 9%, 3%, 49%, 38%, were placed on a high priority to low priority, respectively.","PeriodicalId":44801,"journal":{"name":"Air Soil and Water Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49385925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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