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Assessment of irrigation water quality Parameters of Nyandungu Wetlands

Journal of Geoscience and Environment Protection 2021年第10期9卷 151-160页

作者： Phenias Mukiza Jean De Dieu Bazimenyera Jean Paul Nkundabose Rose Niyonkuru Nelly Elias Bapfakurera Department of irrigation and Drainage College of Agriculture Animal Sciences and Veterinary Medicine University of Rwanda Musanze Rwanda School of Environmental Science and Engineering Suzhou University of Science and Technology Suzhou China

The present paper sought to assess some physico-chemical parameters above permissible guidelines of irrigation water standard, the study was carried during establishment of Ecotourism Park. The field survey design was used and it was accompanied by laboratory tests to analyze the levels of physico-chemical parameters in both seasons (dry season and wet seasons) for water bodies as well as groundwater. The physical chemical parameters analysed were Sodium Adsorption Ratio (SAR), Soluble Sodium Percentage (SSP) Magnesium Adsorption Ratio (MAR) Kelly Index (KI) Total Hardness (TH), pH, the Electric conductivity (EC), Total Dissolved Solids (TDS). Our analyzed samples fall into permissible limit of irrigation water quality, the mean values of electrical conductivity were high. The knowledge from this study will be used in establishment of Nyandungu recreation park irrigating with water quality on gardens surrounding recreation park and local community.

关键词： Wetlands irrigation water quality Physico-Chemical Parameters

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Characteristics of water contamination in abandoned coal mines:a case study on Yudong River area,Kaili,Guizhou Province,China

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International Journal of Coal Science & Technology 2021年第6期8卷 1491-1503页

作者： Xiangdong Li Jieying Cai Di Chen Qiyan Feng School of Environment Science and Spatial Informatics China University of Mining and TechnologyXuzhou 221116China Low Carbon Energy Institute China University of Mining and TechnologyXuzhou 221116China

The seasonal and spatial changes in the chemical composition of the water in abandoned mine drainages and rivers in Yudong River area in the years of 2017-2018 were analyzed.The effects of mine water drainage on the seasonality and physicochemical properties of the river water after mine closure were evaluated,and the feasibility of irrigation using river water and the degree of pollution to farmland were assessed using the water quality Standard for Farmland irrigation.The results show that the mine water has low pH value(water is negatively correlated with the presence of other metal ions.The correlation coefficient between the chemical oxygen demand(COD)and Fe reached 0.989.While the pollution levels of Pinglu and Baishui rivers were low,the confluence region of the two rivers was seriously polluted.However,only the levels of Fe and Cd slightly exceeded the Surface water Environmental quality Standard after the confluence of Yudong and Chongan rivers.Overall,the heavy pollution type of the confluent river is consistent with mine water pollution.The water quality is slightly better in the dry season compared than in the high-water period.Sulfate and Fe content decreased by 39 and 16 mg/L,respectively,and Cd content decreased two-fold.Despite these findings,this study shows that from 2017 to 2018,the pH and Cd content of the rivers at the confluence exceeded the irrigation limit and the water quality continued to deteriorate,which may pose a soil contamination risk.Long-term use of the river for irrigation water may cause toxic elements such as Cd,Fe,Mn,SO_(4)^(2−),Al,and F-to enter the food chain,thereby endangering the life and health of villagers in Yudong River area.

关键词： Yudong River(Guizhou) Closed coal mine Surface water pollution irrigation water quality Soil and crop hazards

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The renewability and quality of shallow groundwater in Sanjiang and Songnen Plain, Northeast China

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Journal of Integrative Agriculture 2017年第1期16卷 229-238页

作者： ZHANG Bing SONG Xian-fang ZHANG Ying-hua HAN Dong-mei TANG Chang-yuan YANG Lihi WANG Zhong-liang Tianjin Key Laboratory of water Resources and Environment Tianjin Normal University Tianjin 300387 P.R.China Key Laboratory of water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 P.R.China Departments of Environmental Science & Landscape Architecture Faculty of Horticulture Chiba University Chiba 271-8510 Japan

Groundwater is a key component for water resources in Sanjiang and Songnen Plain, an important agriculture basement in China. The quality and the renewability of irrigation groundwater are essential for the stock raising and agricultural production. Shallow groundwater was sampled and analyzed for various variables. The salinity sodium concentration and bicarbonate hazard, were examined with regard to the United States Department of Agriculture （USDA） irrigation water standards. The concentration of chlorofluorocarbons （CFCs） was determined to analyze the age of groundwater. Most groundwater samples labeled as excellent to good for irrigation with low salinity hazard or medium salinity hazard. Four groundwater samples were good and suspected for irrigation with high salinity hazard. Generally groundwater in Sanjiang Plain was younger than the groundwater in Songnen Plain. Meanwhile, groundwater nearby river is younger than the groundwater further away inside the watershed. The mean age of groundwater in Sanjiang Plain is in average of 44.1,47.9 and 32.8 years by CFC-11 （CCI3F）, CFC-12 （CCI2F2） and CFC-113 （C2CI3F3）, respectively. The mean ages of groundwater in Songnen Plain is in average of 46.1, 53.4, and 40.7 years by CFC-11, CFC-12 and CFC-113, respectively. Thus, groundwater nearby rivers could be directly exploited as irrigation water. Partial groundwater has to be processed to lower the salt concentration rather than directly utilized as irrigation water in Songnen Plain. Both water quality and renewability should be put in mind for sustainable agricultural development and water resources management.

关键词： groundwater irrigation water quality renewability agricultural development Sanjiang and Songnen Plain

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Cascade Tank water quality Management: A Case Study in Thirappane Tank Cascade System, Sri Lanka

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Journal of Environmental & Earth Sciences 2021年第1期3卷 59-70页

作者： N.S.Abeysingha S.P.Dissanayake S.Sumanaweera S.S.K.De Silva Department of Agric.Engineering and Soil Science Faculty of AgricultureRajarata university of Sri LankaAnuradhapuraSri Lanka Department of Agric.systems Faculty of AgricultureRajarata university of Sri LankaAnuradhapuraSri Lanka Global Research Foundation NugegodaSri Lanka

Tank cascade system(TCS)is a series of tanks located in a meso-catchment and has been accepted as a Globally Important Agricultural Heritage System found in Sri Lanka.Ecosystem components of the TCS play a major role in purifying water within the system.This study attempted to investigate the water quality status and the farmers’willingness to rehabilitate the ecosystem components of the Thirappane TCS.Drinking and irrigation water quality parameters were tested in 34 locations and drinking and irrigation water quality indexes were calculated.Participatory rural appraisal and a questioner survey were conducted to gather social data.water of TCS was observed to be appropriate for irrigation but not for drinking during the Maha cropping season.Based on the results of the Nitrate(as NO_(3)^(-))and Total Phosphate(as PO_(4)^(3-)),water of TCS can be categorized as eutrophic.Presence of ecosystem features of tank cascade system,annual income of the respondents,satisfaction on the quality of water for drinking,and the awareness about the tank cascade system significantly influenced the participatory decisions of the community on the rehabilitation of TCS.This study shall be an example and an eye opener to formulate sustainable tank cascade management plan.

关键词： Drinking water quality irrigation water quality Social survey Tank cascade system watershed management

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灌溉水质属性的人工神经网络评价方法研究

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邯郸农业高等专科学校学报 2004年第2期21卷 1-3页

作者：朱长军李树文杨卫华周继红赵秀娟河北工程学院城市建设系河北邯郸056038

应用人工神经网络理论与方法建立了灌溉水质评价的BP神经网络模型 ,以对水质评价中普遍采用的盐浓度、渗透率、特殊离子及其毒性等 5个指标进行了示例分析计算 ,并与综合评价方法进行对比 ,所得结果表明神经网络模型能很好地解决评价因... 详细信息

应用人工神经网络理论与方法建立了灌溉水质评价的BP神经网络模型 ,以对水质评价中普遍采用的盐浓度、渗透率、特殊离子及其毒性等 5个指标进行了示例分析计算 ,并与综合评价方法进行对比 ,所得结果表明神经网络模型能很好地解决评价因子与水质等级间复杂的非线性关系 ,评价水质简便可靠。

关键词： irrigation water quality neural network comprehensive attribute

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