Optimization of water quality monitoring network in a large river by combining measurements, a numerical model and matter-element analyses

Chen, Qiuwen; Wu, Wei; Blanckaert, Koen; Ma, Jinfeng; Huang, Guoxian

doi:10.1016/j.jenvman.2012.05.024

Cited by 62 publications

(35 citation statements)

References 22 publications

(26 reference statements)

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“…Many people think that water shortage problems only exist in arid or semi-arid regions. However, with the development of regional economy and population, water pollution has gradually increased, and many regions face the serious problem of water quality-induced water shortage [43,44], especially in the Yangtze River Delta region of China. Hence, it is also important and necessary to do research on the sap flow characteristics in water-rich regions in order to plan rational use of the water resources and manage the forest farms.…”

Section: Discussionmentioning

confidence: 99%

The Relationship between Sap Flow Density and Environmental Factors in the Yangtze River Delta Region of China

Liu

Zhang

Zhuang

et al. 2017

Forests

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Abstract:Canopy transpiration is an important component of evapotranspiration, integrating physical and biological processes within the water and energy cycles of forests. Quercus acutissima and Cunninghamia lanceolata are two important, fast-growing and commercial tree species that have been extensively used for vegetation restoration, water conservation and building artificial forests in the Yangtze River Delta region of China. The primary objective of this study was to characterize sap flow densities of the two species by comparing daytime and nocturnal sap flow patterns and their relationships with environmental factors. Sap flow densities (S d ) were measured between September 2012 and August 2013 using the commercially-available thermal dissipation probes. Hourly meteorological data were measured in an open field, located 200 m away from the study site, including photosynthetically-active radiation (P ar ), air temperature (T a ), relative air humidity (R h ), vapor pressure deficit (V pd ) and precipitation (P). Soil water content (S wc ) data were logged hourly in different layers at Q. acutissima and C. lanceolata forests. Results indicated that the mean S d in summer was higher than that in spring and autumn. Both the S d of Q. acutissima and C. lanceolata showed distinct diurnal patterns. Nocturnal sap flow densities (S dn ) were noticeable, and both species followed similar declining patterns during our study period. The daytime sap flow density (S dd ) was more sensitive to environmental factors than S dn . Sap flow density was significant linearly correlated with P ar , V pd and T a , and P ar and V pd explained the greatest amount of variation in daytime sap flow of Q. acutissima and C. lanceolata, respectively. Our study will enrich knowledge of plantation forest physical and biological processes and provide valuable information for plantation forest management in the Yangtze River Delta region of China.

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Section: Discussionmentioning

confidence: 99%

The Relationship between Sap Flow Density and Environmental Factors in the Yangtze River Delta Region of China

Liu

Zhang

Zhuang

et al. 2017

Forests

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“…Besides planning new networks, there are many studies which deal with the optimization of already functioning monitoring networks, such as that of Chen et al (2012). Here, a one-dimensional flow model, a water quality model, and a matter element analysis (MEA) were used to find similar sections of the 1890-km-long upper and middle reaches of the Heilongjiang River in northeast China.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the monitoring network on the River Tisza (Central Europe, Hungary) using combined cluster and discriminant analysis, taking seasonality into account

Tanos

Kovács

et al. 2015

Environ Monit Assess

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The most essential requirement for water management is efficient and informative monitoring. Operating water quality monitoring networks is a challenge from both the scientific and economic points of view, especially in the case of river sections ranging over hundreds of kilometers. Therefore, spatio-temporal optimization is vital. In the present study, the optimization of the monitoring system of the River Tisza, the second largest river in Central Europe, is presented using a generally applicable and novel method, combined cluster and discriminant analysis (CCDA). This area for the study was chosen because, spatial inhomogeneity of a river's monitoring network can more easily be studied in a mostly natural watershed - as in the case of the River Tisza - since the effects of man-made obstacles: e.g water barrage systems, hydroelectric power plants, artificial lakes, etc. are more pronounced. Furthermore, since the temporal sampling frequency was bi-weekly, the opportunity of optimizing the monitoring system on a temporal (monthly) scale arose. In the research, 15 water quality parameters measured at 14 sampling sites in the Hungarian section of the River Tisza were assessed for the time period 1975-2005. First, four within-year sections ("hydrochemical seasons") were determined, characterized with unequal lengths, namely 2, 4, 2, and 4 months long starting with spring. Homogeneous groups of sampling sites were determined in space for every season, with the main separating factors being the tributaries and man-made obstacles. Similarly, an overall pattern of homogeneity was determined. As an overall result, the 14 sampling sites could be grouped into 11 homogeneous groups leading to the possibility of reducing the number of sampling locations and thus making the monitoring system more cost-efficient.

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“…Matter-element theory uses the ordered triad that is composed of matter, feature, and magnitude as the basic elements of description; this way results in matter-element conversion based on extensibility of matter-elements, thereby solving conflicts [26]. The matter-element assessment model can be constructed by using the correlation between matter-element and evaluation level, which can be used for effective assessment of port safety.…”

Section: Port Safety Assessment Model Based On Entropy Weight Matter-mentioning

confidence: 99%

Port Safety Assessment based on Entropy Weight Matter-Element model

Fu¹

2017

JESTR

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Frequently port safety accidents have resulted in port safety problems becoming the focus of increasing attention. Port safety assessment is an important basis in preventing port safety accidents. Owing to complicated influencing factors of port safety, assessing port safety effectively has been a key research topic in the industry and academe. To determine port safety assessment indexes reasonably and acquire practical assessment results, the port safety assessment index system based on 5M (man, machine, material, management, and milieu) was established first. Then, weights of all assessment indexes were determined by the entropy weight method, and the port safety assessment model was constructed by matterelement theory. Finally, the assessment model was verified by ports in Zhejiang Province of China. Results demonstrate that the material factor presents the highest average weight among all evaluation indexes. The accident rate of goods and qualified rate of pollution control are two indexes with the highest weights. The port safety assessment results based on the entropy weight matter-element model conform to practical situations. Thus, the port safety assessment model based on entropy weight matter-element theory can measure port safety level effectively and evaluate its feasibility in practical cases. The model offsets shortcomings of single theory assessment and provides a new idea and decision-making method for port safety assessment.

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Optimization of water quality monitoring network in a large river by combining measurements, a numerical model and matter-element analyses

Cited by 62 publications

References 22 publications

The Relationship between Sap Flow Density and Environmental Factors in the Yangtze River Delta Region of China

The Relationship between Sap Flow Density and Environmental Factors in the Yangtze River Delta Region of China

Optimization of the monitoring network on the River Tisza (Central Europe, Hungary) using combined cluster and discriminant analysis, taking seasonality into account

Port Safety Assessment based on Entropy Weight Matter-Element model

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