scholarly journals WebGIS design and development of water quality test of rural domestic sewage Dianchi Lake Basin

Author(s):  
Pengju Quan ◽  
Hong Liang ◽  
Xuehui Lu ◽  
Ruitao Cui
2020 ◽  
Vol 13 (1) ◽  
pp. 116
Author(s):  
Hansheng Kong ◽  
Yilei Lu ◽  
Xin Dong ◽  
Siyu Zeng

Dianchi Lake is the largest freshwater lake on the Yunnan–Guizhou Plateau near Kunming City, China. As one of the most polluted lakes in China, although billions of U.S. dollars have been spent trying to clean it up, water pollution and eutrophication are still a bottleneck for regional sustainable development. This research established an integrated approach for the evaluation of the coupling coordination degree to support future planning of the Dianchi Lake basin. Ten future scenarios for possible development directions of Dianchi Lake basin were designed to find the best balance between development and protection. Among these scenarios, a high protection–medium development scenario is the most suitable scenario for future development planning. To further improve the coordination degree, economic growth control and non-point source governance were the most effective and feasible approaches. Furthermore, a water quality model was used to verify the coordination degree. It was found that the high protection–medium development scenario can reach the water quality target in 2025. The coordination degree evaluation could be a practical link to help equilibrate the socio-economic development and environmental protection of the Dianchi Lake basin.


2013 ◽  
Vol 726-731 ◽  
pp. 3320-3325
Author(s):  
Ying Gang Xie ◽  
Dian Jiang ◽  
Jiao Li Kuang

Based on the river advection and diffusion process, the application of mass balance principle, a suitable diffusion model in Dianchi Lake Basin rivers burst water pollution emergency treatment. River water quality model based on the exponential difference solving simulated the spatial and temporal distribution of pollutants in the sudden water pollution accidents. This paper quantitatively simulated time and concentration values at the different locations of the river downstream of the pollutants reach Finally, GIS technology to achieve the simulation results of the real-time dynamic visualization.


1995 ◽  
Vol 32 (7) ◽  
pp. 135-142
Author(s):  
E. Görgün ◽  
N. Artan ◽  
D. Orhon ◽  
R. Tasli

Effective nitrogen removal is now required to protect water quality in sensitive coastal areas. This involves a much more difficult treatment process than for conventional domestic sewage as wastewater quantity and quality exhibits severe fluctuations in touristic zones. Activated sludge is currently the most widely used wastewater treatment and may be upgraded as a predenitrification system for nitrogen removal. Interpretation of nitrification and denitrification kinetics reveal a number of useful correlations between significant parameters such as sludge age, C/N ratio, hydraulic retention time, total influent COD. Nitrogen removal potential of predenitrification may be optimized by careful evaluation of wastewater character and the kinetic correlations.


2021 ◽  
Vol 27 (1) ◽  
Author(s):  
MANOJ KUMAR SHUKLA

Present study points out the impact of Lockdown on the health of the Yamuna river at Delhi stretch by comparing prelockdown and Post-lockdown period by studying the reports of pollution monitoring agencies. Delhi segment of the Yamuna is highly polluted, where alongwith domestic sewage a huge quantity of industrial waste is being discharged continuously without proper treatment. Pre lockdown (March 2020) water quality parameters at three sampling stations named as Palla, Nizammuddin Bridge and Okhla barrage U/s in Delhi were, pH were 8.7, 7.3 and 7.2, DO were 17.1 mg/L, not detected in later two sites, BOD were 7.9 mg/L, 57 mg/L and 27 mg/L and COD were 28 mg/L, 90 mg/L and 95 mg/L respectively and postlockdown period (April 2020) the pH was 7.8, 7.2 and 7.1, DO was 8.3 mg/L, 2.4 mg/L and 1.2 mg/L BOD was 2 mg/L, 5.6 mg/ L and 6.1 mg/L and COD were 6 mg/L, 16 mg/L and 18 mg/L respectively. The study of these parameters at three sampling stations reveals that the lack of industrial pollutants discharging due to nationwide lockdown for COVID-19 pandemic had positive effect on water quality of this river. Water quality could be maintained by planned establishment of industries and setup of ETP with without gap between generation and treatment.


2020 ◽  
Vol 198 ◽  
pp. 04025
Author(s):  
Xiaolun Zhang ◽  
Yanyan Shao

Basin ecological environment and water quality are seriously threatened by development around the lake. The thesis intends to assess basin Land Use and land Cover Changes (here after abbreviated as LUCC) impact on water quality change in Xingyun Lake basin. To achieve this purpose, land use information was interpreted from six periods high-resolution images in the past 30 years, which were classified into seven land use types. The water quality data was obtained by investigation and collection. SPSS software was used to celebrate the correlation coefficient between water quality and LUCC. The results revealed that, in the study area construction land, transportation land and farm land were underwent an increase with the region development; grassland and bare land were gradually reduced, forest land had become fragmented. In addition, the water pollution index gradually increased since 2000, the water deteriorated significantly. Furthermore, there was a strong positive correlation between water pollution indicator and farmland, construction land and transportation land, which indicated that the deterioration of water quality may be the result of the combined effects of agriculture non-point source pollution, domestic and industrial pollution; there was a significant negative correlation between water pollution indicator and grassland and bare land, which indicated that permeable underlying mat had significant interception and absorption effects on pollutants.


2020 ◽  
Vol 20 (4) ◽  
pp. 319-328
Author(s):  
Byeong Cheon Paik ◽  
◽  
Yong Woon Lee ◽  
Kwang Duck Song
Keyword(s):  

2014 ◽  
Vol 955-959 ◽  
pp. 1132-1142
Author(s):  
Wen Lin Wang ◽  
Yin Jing Wan ◽  
Xiao Yan Tang ◽  
Bin Liang

Nine households of high, medium and low income level were selected as representative household of the Taihu Lake basin, China to study the measuring method of pollutant producing coefficient (PPC) and pollutant discharge coefficient (PDC) of rural domestic sewage and organic waste. Results showed that the income level had no significant influences on TN-/TP-PPC of rural domestic sewage but substantially affected the production and TN-/TP-PDC of domestic sewage, as well as the production and TN-/TP-PPC/PDC of organic waste, which corresponded with income such that high-income farmer households produced the most and the middle income produced lesser and the low income households produced the least amount. The utilization and treatment efficiency of toilet wastewater and the comprehensive utilization rate of organic wastes, particularly the rate of livestock were the primary influencing factors of domestic sewage and waste PDC. These factors were substantially affected by agricultural income level and septic tank type.


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