Spatio-Temporal Variations and Source Apportionment of Water Pollution in Danjiangkou Reservoir Basin, Central China

Recently, water environmental accidents have occasionally occurred which have had wide-ranging influences, long durations and are difficult to deal with. The development of the social economy, the acceleration of industrialization, the huge discharge of industrial wastewater and the occasional occurrence of ship transportation accidents pose serious threats to the water quality of water inlets and protected water areas. This article applied the two-dimensional water quality model, used a GIS platform and FORTRAN language, and predicted spatio-temporal variations of the iron concentration during a water pollution accident. This research selected the water inlet of Heshangshan Water Plant and the Heshangshan protected water area as the research objective, and assumed a water pollution event had occurred. It was suggested that we should take corresponding emergency measures and relevant solutions to deal with the bad effects of water pollution accidents. The processes mainly included the selection of the study area, the determination of the equation to be used, parameters determination, as well as the identification of the accident scenario and source. The durations of the iron concentration exceeding the standard at the water inlet were 12–18 min and in the protected water area were 16–36 min in four water periods after the accident. In addition, the durations taken for the iron concentration to decrease to the background value in the protected water area were 18–38 min after the accident in four water periods in the accident scenario. Relevant departments should take some contingency measures to avoid fetching water from the intake after the accident within 40 min after the accident and the relevant staff can cancel the warning 40 min after the accident.

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Spatio-temporal patterns and source apportionment of coastal water pollution in eastern Hong Kong

Water Research ◽

10.1016/j.watres.2007.04.022 ◽

2007 ◽

Vol 41 (15) ◽

pp. 3429-3439 ◽

Cited By ~ 100

Author(s):

Feng Zhou ◽

Gordon H. Huang ◽

Huaicheng Guo ◽

Wei Zhang ◽

Zejia Hao

Keyword(s):

Water Pollution ◽

Hong Kong ◽

Source Apportionment ◽

Coastal Water ◽

Temporal Patterns ◽

Spatio Temporal

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Spatio-temporal variations of water quality in Yuqiao Reservoir Basin, North China

Frontiers of Environmental Science & Engineering ◽

10.1007/s11783-014-0702-9 ◽

2014 ◽

Vol 9 (4) ◽

pp. 649-664 ◽

Cited By ~ 7

Author(s):

Yuan Xu ◽

Ruqin Xie ◽

Yuqiu Wang ◽

Jian Sha

Keyword(s):

Water Quality ◽

North China ◽

Temporal Variations ◽

Yuqiao Reservoir ◽

Spatio Temporal ◽

Reservoir Basin

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Spatio-Temporal Variations of Atmospheric NH3 over East Asia by Comparison of Chemical Transport Model Results, Satellite Retrievals and Surface Observations

Atmosphere ◽

10.3390/atmos11090900 ◽

2020 ◽

Vol 11 (9) ◽

pp. 900 ◽

Cited By ~ 1

Author(s):

Zhe Wang ◽

Itsushi Uno ◽

Kazuo Osada ◽

Syuichi Itahashi ◽

Keiya Yumimoto ◽

...

Keyword(s):

High Resolution ◽

East Asia ◽

Temporal Variations ◽

Central China ◽

Model Simulations ◽

Satellite Retrievals ◽

In Situ Observations ◽

Spatio Temporal ◽

Surface Observations

Atmospheric ammonia (NH3) plays an important role in the formation of secondary inorganic aerosols, the neutralization of acid rain, and the deposition to ecosystems, but has not been well understood yet, especially over East Asia. Based on the GEOS-Chem model results, the IASI satellite retrievals, the in-site surface observations of a nationwide filter pack (FP) network over Japan and the long-term high resolution online NH3 measurements at Fukuoka of western Japan, the spatio-temporal distributions of atmospheric NH3 over East Asia was analyzed comprehensively. A significant seasonal variation with a summer peak was found in all datasets. Comparison between the satellite retrievals and model simulations indicated that the IASI NH3 vertical column density (VCD) showed good consistency with GEOS-Chem results over North and central China, but had large differences over South China due to the effect of clouds. Over the Japan area, GEOS-Chem simulated NH3 concentrations successfully reproduced the spatio-temporal variations compared with in-situ observations, while IASI NH3 VCD retrievals were below or near the detection limit and difficult to obtain a reasonable correlation for with model results. The comprehensive analysis indicated that there were still some differences among different datasets, and more in-situ observations, improved satellite retrievals, and high-resolution model simulations with more accurate emissions are necessary for better understanding the atmospheric NH3 over East Asia.

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Spatio-temporal variability in the thermal regimes of the Danjiangkou reservoir and its downstream river due to the large water diversion project system in central China

Hydrology Research ◽

10.2166/nh.2015.210 ◽

2015 ◽

Vol 47 (1) ◽

pp. 104-127 ◽

Cited By ~ 6

Author(s):

Pan Chen ◽

Lan Li ◽

Hongbin Zhang

Keyword(s):

Water Temperature ◽

Temperature Change ◽

Ecological Impact ◽

Central China ◽

Water Diversion ◽

Regulated Rivers ◽

Danjiangkou Reservoir ◽

Spatio Temporal ◽

Large Water ◽

Spawning Periods

Understanding water temperature variation in regulated rivers and reservoirs becomes increasingly important as the environment and ecosystem are approaching their thermal limits. In this paper, a multi-model approach is used to quantitatively access the spatio-temporal change in thermal structures of the Danjiangkou reservoir and its downstream river. The area is subject to thermal and hydrological alterations due to three large water diversion projects and related auxiliary projects, including a project to heighten the Danjiangkou dam and two small downstream reservoirs. It is found that the Danjiangkou dam heightening project alters water temperature seasonally, increasing it in winter and decreasing it in summer; while the three large water diversion projects and the two small downstream reservoirs mitigate the effect. Water temperature change in the downstream river is also studied from the aspects of release temperature and release discharge of the Danjiangkou reservoir. The former mainly changes the water temperature near the dam, while the latter affects the recovery rate and the recuperation distance. Ecological impact of the water temperature change is discussed based on the spawning of fish, indicating that the spawning periods may lag behind and the optimal spawning locations may move downstream.

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Spatio-Temporal Variations of Satellite-Based PM2.5 Concentrations and Its Determinants in Xinjiang, Northwest of China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17062157 ◽

2020 ◽

Vol 17 (6) ◽

pp. 2157 ◽

Cited By ~ 1

Author(s):

Wei Wang ◽

Alim Samat ◽

Jilili Abuduwaili ◽

Yongxiao Ge

Keyword(s):

Population Density ◽

Tarim Basin ◽

Vegetation Index ◽

Normalized Difference Vegetation Index ◽

Fine Particulate Matter ◽

Temporal Variations ◽

Central China ◽

Dominant Factor ◽

Tianshan Mountain ◽

Spatio Temporal

With the aggravation of air pollution in recent years, a great deal of research on haze episodes is mainly concentrated on the east-central China. However, fine particulate matter (PM2.5) pollution in northwest China has rarely been discussed. To fill this gap, based on the standard deviational ellipse analysis and spatial autocorrelation statistics method, we explored the spatio-temporal variation and aggregation characteristics of PM2.5 concentrations in Xinjiang from 2001 to 2016. The result showed that annual average PM2.5 concentration was high both in the north slope of Tianshan Mountain and the western Tarim Basin. Furthermore, PM2.5 concentrations on the northern slope of the Tianshan Mountain increased significantly, while showing an obviously decrease in the western Tarim Basin during the period of 2001–2016. Based on the result of the geographical detector method (GDM), population density was the most dominant factor of the spatial distribution of PM2.5 concentrations (q = 0.550), followed by road network density (q = 0.423) and GDP density (q = 0.413). During the study period (2001–2016), the driving force of population density on the distribution of PM2.5 concentrations showed a gradual downward trend. However, other determinants, like DEM (Digital elevation model), NSL (Nighttime stable light), LCT (Land cover type), and NDVI (Normalized Difference Vegetation Index), show significant increased trends. Therefore, further effort is required to reveal the role of landform and vegetation in the spatio-temporal variations of PM2.5 concentrations. Moreover, the local government should take effective measures to control urban sprawl while accelerating economic development.

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