scholarly journals Scarcity of Drinking Water in Taihu Lake Basin, China: A Case Study of Yixing City

Water ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 362 ◽  
Author(s):  
Sha Lou ◽  
Wenrui Huang ◽  
Shuguang Liu ◽  
Guihui Zhong
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Scarcity ◽  
Taihu Lake ◽  
Water Source ◽  
Poor Quality ◽  
Lake Basin ◽  
Taihu Lake Basin ◽  
Quality Water ◽  
Poor Quality Water

: Water use has been growing globally at more than twice the rate of the population increase over the last century. Water scarcity is one of the main problems facing the world, especially the scarcity of clean and safe drinking water. Scarcity of drinking water is not only relevant in arid or semiarid regions, but also occurs in water-rich regions due to the decline in water quantity caused by pollution or salinity intrusion. As a part of Taihu Lake Basin, a famous water-rich region in China, Yixing City has a total area of 1996.6 km2, including 242.29 km2 from Taihu Lake, 215 rivers with an area of 130 km2, more than 20 ponds with an area of 0.05 km2, and 20 reservoirs with a total capacity of 126 million m3. There always has enough water in Yixing City. However, meteorological conditions and water quality both affect the available drinking water sources. Poor-quality water was used as a drinking water source in Yixing City during a drought event in 2011. Approximately 1.4 × 107 m3 of poor-quality water was used for drinking water in Yixing city, providing 37.13% of the total drinking water. It was a source of concern that the water quality was too poor to be used as drinking water and that the water treatment processes were expensive. The scarcity of drinking water has become a serious issue, not only in arid and semiarid regions but also in water towns such as Taihu Lake Basin, and this issue requires society’s attention. Many measures should be taken to relieve the drinking water shortage, such as seeking new drinking water sources, protecting the current water source areas, controlling pollution emissions, and implementing effective water resource management.

scholarly journals Rainwater Harvesting as a Drinking Water Option for Mexico City

2018 ◽  
Vol 10 (11) ◽  
pp. 3890 ◽  
Author(s):  
Mireya Gispert ◽  
María Hernández ◽  
Enrique Climent ◽  
María Flores
Keyword(s):  
Drinking Water ◽  
Mexico City ◽  
Rainwater Harvesting ◽  
Major Ions ◽  
Poor Quality ◽  
National Standards ◽  
Southern Mexico ◽  
Quality Water ◽  
Poor Quality Water ◽  
The University

Mexico City is one of the most water-stressed cities in the world; poor quality water occurs in several parts of the City. The use of rainwater harvesting (RWH) as a source of drinking water is gaining acceptance in several contexts, but the quality of the water obtained through these systems has not been sufficiently studied. This manuscript presents the results of water quality tests from samples taken in each component of an RWH system, installed by Isla Urbana at the National Autonomous University of Mexico (UNAM), southern Mexico City. The RWH system culminates with a drinking fountain which supplies water for the students, and other members of the university community. Samples were retrieved from August 2014 to November 2015, approximately once per month. Results showed that with an adequate operation of the RWH system the major ions, fluoride, zinc, arsenic, lead, iron, copper, chromium, aluminum, nitrate, and total coliforms comply with national standards and international guidelines for drinking water. Thus, RWH constitutes a viable option for providing good quality water in a megacity that will become increasingly water-stressed due to climate change.

Response of river water quality to background characteristics of landscapes in Taihu Lake basin

2012 ◽  
Vol 32 (16) ◽  
pp. 5043-5053 ◽  
Author(s):  
周文 ZHOU Wen ◽  
刘茂松 LIU Maosong ◽  
徐驰 XU Chi ◽  
何舸 HE Ge ◽  
王磊 WANG Lei ◽  
...  
Keyword(s):  
Water Quality ◽  
River Water ◽  
Taihu Lake ◽  
River Water Quality ◽  
Lake Basin ◽  
Background Characteristics ◽  
Taihu Lake Basin

scholarly journals Water Quality Evaluation Method Based on a T-S Fuzzy Neural Network—Application in Water Environment Trend Analysis of Taihu Lake Basin

Water ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3127
Author(s):  
Wei Ye ◽  
Wei Song ◽  
Chen-Feng Cui ◽  
Jia-Hao Wen
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Fuzzy Neural Network ◽  
Evaluation Method ◽  
Taihu Lake ◽  
Water Environment ◽  
Lake Basin ◽  
Neural Network Models ◽  
Taihu Lake Basin ◽  
Fuzzy Neural

In response to the problems of large computational volume and tedious computational process of fuzzy integrated evaluation, and general neural network models without clear water quality training criteria, this paper organically combines fuzzy rules, affiliation function, and neural network, and proposes a comprehensive method for the evaluation of water quality based on a T-S fuzzy neural network. On the three water quality monitoring data of six national key monitoring stations in Taihu Lake Basin, three evaluation methods—the one-factor evaluation method, the fuzzy integrated evaluation method, and the T-S fuzzy neural network evaluation method—were used to comprehensively evaluate water environment quality, and the results showed that the T-S fuzzy neural network method has the advantages of convenient calculation, strong applicability, and scientific results.

scholarly journals Epidemic Situation in Ukraine Related to the Quality of Drinking Water

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Iryna Rudenko
Keyword(s):  
Drinking Water ◽  
Poor Quality ◽  
The Past ◽  
Source Of Infection ◽  
Piped Water ◽  
Enteric Infections ◽  
Quality Water ◽  
Poor Quality Water ◽  
Sanitation Systems

70 outbreaks of severe enteric infections were registered among the population in 19 administrative territories in Ukraine over the past 17 years. The source of infection was poor-quality water. A total of 8265 people acquired an infection, 4140 of them were children. Most outbreaks were related to the piped water contaminated by rotaviruses, as a result of emergencies in the water supply and sanitation systems.

Effect of water quality on grain yield and nutrient uptake of rice (Oryza sativa L.)

2004 ◽  
Vol 52 (2) ◽  
pp. 141-148 ◽  
Author(s):  
H. El-Sharkawi ◽  
M. Irshad ◽  
A. M El-Serfy ◽  
T. Honna ◽  
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Grain Yield ◽  
Nutrient Uptake ◽  
Fresh Water ◽  
Poor Quality ◽  
Drainage Water ◽  
Rice Grain ◽  
Quality Water ◽  
Poor Quality Water

The use of poor quality water for agriculture is now receiving major attention especially in arid and semi-arid regions. This experiment was carried out to evaluate the effects of different irrigation water qualities on the grain yield and nutrient uptake of rice and on the heavy metal concentration in the grains. Six water treatments were applied at intervals of three days, involving either fresh water (FW), drainage water (DW), mixed water (MW), fresh water followed by drainage water (1FW + 1DW), two applications of fresh water followed by one of drainage water (2FW + 1DW) or one application of fresh water followed by two of drainage water (1FW + 2DW). The rice grain yield and the uptake of nitrogen (N), phosphorus (P) and potassium (K) were determined. The grains were also analysed for the concentration of nickel (Ni), cadmium (Cd) and lead (Pb). The results showed that the grain yield, the uptake of N, P and K in the plant biomass and the concentration of heavy metals in the grains were significantly affected by the water quality. The rice grain yield exhibited a close correlation with the water quality. The highest grain yield was obtained in the FW treatment and the lowest yield in the DW treatment. The uptake of N, P and K was detrimentally affected by poor quality water. However, the uptake trend for these elements was similar across all the irrigation treatments. The concentrations of heavy metal in the grains were significantly higher in plots irrigated with poor quality water. Among the treatments the cumulative concentrations of heavy metal were in the order of: DW ≯1FW + 2DW ≯ MW ≯ 1FW + 1DW ≯ 2FW + 1DW ≯ FW. This study showed that there is a potential risk of heavy metal contamination in rice crops treated with poor quality water. The lower grain yield after irrigation with poor quality water could be due to the disturbed mineral nutrition or to relatively higher salt toxicity.

Insights into spatiotemporal variations of the water quality in Taihu Lake Basin, China

2021 ◽  
Vol 193 (11) ◽  
Author(s):  
Jiaxin Zhang ◽  
Lianpeng Zhang ◽  
Qi Chai ◽  
Yang Shen ◽  
Li Ji ◽  
...  
Keyword(s):  
Water Quality ◽  
Taihu Lake ◽  
Lake Basin ◽  
Spatiotemporal Variations ◽  
Taihu Lake Basin

Variable Fuzzy Set Theory to Assess Water Quality of the Meiliang Bay in Taihu Lake Basin

2014 ◽  
Vol 28 (3) ◽  
pp. 867-880 ◽  
Author(s):  
Yuankun Wang ◽  
Dong Sheng ◽  
Dong Wang ◽  
Huiqun Ma ◽  
Jichun Wu ◽  
...  
Keyword(s):  
Water Quality ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Taihu Lake ◽  
Lake Basin ◽  
Taihu Lake Basin ◽  
Variable Fuzzy Set ◽  
Meiliang Bay

scholarly journals Evaluation of Spatial Variability in Ground Water Quality using Remote Sensing

2019 ◽  
Vol 8 (2) ◽  
pp. 4269-4278
Keyword(s):  
Water Quality ◽  
Geographical Information Systems ◽  
Poor Quality ◽  
Physicochemical Analysis ◽  
Geographical Information ◽  
Physical Parameters ◽  
Coastal Zones ◽  
Physico Chemical ◽  
Quality Water ◽  
Poor Quality Water

Water quality along Coastal Zones of Srikakulam District in Andhra Pradesh, India was analyzed through seasons of pre and post of monsoon for determining water appropriateness towards consumption by means of water quality index (WQI). Present study included collection of sub-surface water samples from sampling sites which are designated as Mandal headquarters across the coastal line. Towards developing WQI, physicochemical analysis of samples was determined considering nine important parameters that included physical parameters like total dissolved solids, chemical parameters like pH, conductivity, ionic parameters such as calcium and magnesium, sodium and potassium, chloride and sulphate. The sampling sites are mapped using geographical information systems. GPS (Global positioning system) was employed to locate the coordinates in terms of latitude and longitude. Cation-anion correlation matrixes are plotted using piper plots from values of results obtained through physico-chemical analysis. Experimental results were subjected to statistical analysis using one-way ANOVA. The WQI index in the present study was obtained in the range of 57.6 to 989.1, indicating very poor-quality water in these sampling areas. Results illustrated that groundwater of the study area required treatment before used for consumption.

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