Modelling the Impacts of Bathymetric Changes on Water Level in China’s Largest Freshwater Lake

Qi, Lingyan; Gao, Junfeng; Cui, Zhen

doi:10.3390/w11071469

Cited by 13 publications

(6 citation statements)

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“…Influenced by inflows and the Yangtze River, its water level significantly fluctuates, which induces inner-annual variations in the lake area from 146 km 2 to 4,070 km 2 . In addition, Lake Poyang has recently suffered from increasing eutrophication and water quality degradation with significantly increasing phosphorus and nitrogen levels (Zhang and Werner, 2015;Qi et al, 2019).…”

Section: Study Areamentioning

confidence: 99%

“…There is a growing need to indicate a lake's real-time health status by integrating process-based models into traditional assessments. The environmental fluid dynamics code (EFDC) model is a physics-based, quantitative, and scientific method for analyzing the hydrodynamic processes and biochemical conditions in water bodies (Qi et al, 2019). It has been widely applied in study areas, including Lake Poyang (Huang et al, 2014;Wang P. et al, 2015;Huang et al, 2017;Huang et al, 2018), Lake Tai (Lu et al, 2013), and Lake Chaohu (Qian et al, 2021), to simulate the continuous variations in the lake level, water velocity, water clarity, and nitrogen, phosphorus, and phytoplankton concentrations.…”

Section: Introductionmentioning

confidence: 99%

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A Real-Time Assessment of Aquatic Ecological Health Using a Process-Based Model: An Example From Lake Poyang, China

Xiong

et al. 2022

Front. Environ. Sci.

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Aquatic ecological health is a global challenge due to its significant impacts, and a real-time method to accurately assess the ecological health is therefore particularly useful. Based on the hydrological, water quality, meteorological, and topographic data collected from field observations and organizations, this study developed a process-based hydrodynamic and water quality model using an environmental fluid dynamics code (EFDC) model of Lake Poyang to simulate the spatiotemporal variations in water levels and the total nitrogen (TN), total phosphorus (TP), and chlorophyll a (Chl a) contents. Compared with the measured values, the models were confirmed to be reliable and acceptable. Then, to achieve a real-time assessment, the simulated results were calculated and transformed into five ordinal rating categories by using a lake ecosystem health assessment framework. Our research revealed the following results: (1) the highest and lowest 10-day water level statuses indicated that the hydrological conditions of this lake were at “good” or “excellent” levels. (2) The health levels of TN were mostly at the “fair” level or below, and most of the real-time assessment health curves of lake zones were close to the single peak type. (3) The TP contents were often at “good” levels, and the health assessment curves of the lake zones exhibited downward trends during the periods of rapid rise or retreat. (4) A fluctuating characteristic was found in the health assessment of Chl a with at least two declining peaks in all lake zones. This study demonstrated the high value of physics-based models for assessing the ecological health of aquatic ecosystems in a robust and accurate manner.

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Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Real-Time Assessment of Aquatic Ecological Health Using a Process-Based Model: An Example From Lake Poyang, China

Xiong

et al. 2022

Front. Environ. Sci.

Self Cite

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“…River-bed stability and bank erosion Loss of productive cultivation areas [92,128] Food production Sediment deposition Loss of deep pools [129,130] Species diversity Impact on food webs [131,132] Species diversity Changes in sediment composition Impact on benthic communities [133] Species diversity Bathymetric changes Changes in water levels [134,135] Water availability…”

Section: Sand Miningmentioning

confidence: 99%

Anthropogenic Modifications and River Ecosystem Services: A Landscape Perspective

Ekka

Pande

Jiang

et al. 2020

Water

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The process of development has led to the modification of river landscapes. This has created imbalances between ecological, economic, and socio-cultural uses of ecosystem services (ESs), threatening the biotic and social integrity of rivers. Anthropogenic modifications influence river landscapes on multiple scales, which impact river-flow regimes and thus the production of river ESs. Despite progress in developing approaches for the valuation ecosystem goods and services, the ecosystem service research fails to acknowledge the biophysical structure of river landscape where ecosystem services are generated. Therefore, the purpose of this review is to synthesize the literature to develop the understanding of the biocomplexity of river landscapes and its importance in ecosystem service research. The review is limited to anthropogenic modifications from catchment to reach scale which includes inter-basin water transfer, change in land-use pattern, sub-surface modifications, groundwater abstractions, stream channelization, dams, and sand mining. Using 86 studies, the paper demonstrates that river ESs largely depend on the effective functioning of biophysical processes, which are linked with the geomorphological, ecological, and hydrological characteristics of river landscapes. Further, the ESs are linked with the economic, ecological, and socio-cultural aspect. The papers show that almost all anthropogenic modifications have positive impact on economic value of ESs. The ecological and socio-cultural values are negatively impacted by anthropogenic modifications such as dams, inter-basin water transfer, change in land-use pattern, and sand mining. The socio-cultural impact of ground-water abstraction and sub-surface modifications are not found in the literature examined here. Further, the ecological and socio-cultural aspects of ecosystem services from stakeholders’ perspective are discussed. We advocate for linking ecosystem service assessment with landscape signatures considering the socio-ecological interactions.

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“…The processing functions include transforming, analyzing, aggregating, and generalizing. GIS software allows spatial analysis using a variety of methods, the most popular include: overlay analysis, spatial interpolation, spatial data exploration, hot spot analysis, or kernel density estimation; this type of research finds application in a number of areas, e.g., bathymetry [29], spatial planning [30], location selection [31,32], environmental protection and disaster reduction capability [33][34][35][36][37], spatial and distribution patterns [38][39][40][41], demography [42], as well as many others. Using GIS software, the data can be visualized using many cartographic visualization methods, such as: cartogram, cartodiagram, range method, dot map, etc.…”

Section: Figurementioning

confidence: 99%

Use of GIS Tools in Sustainable Heritage Management—The Importance of Data Generalization in Spatial Modeling

2019

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Cultural heritage is a very important element affecting the sustainable development. To analyze the various forms of spatial management inscribed into sustainable development, information on the location of objects and their concentration at specific areas is necessary. The main goal of the article was to show the possibility of using various GIS tools in modeling the distribution of historical objects. For spatial analysis, it is optimal to use the point location of objects. Often, however, it is extremely difficult, laborious, expensive, and sometimes impossible to obtain. Thus, various map content generalizations were analyzed in the article; the main goal was to find the level for which the data with an acceptable loss of accuracy can be generalized. Such analyses can be extremely useful in sustainable heritage management. Article also shows how cultural heritage fits into the sustainable heritage management. The research included non-movable monuments in Poland. The obtained results showed the universality of this type of research both in the thematic sense (can be used for various types of objects) and spatial sense (can be performed locally, at the country level, or even at the continental level).

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Modelling the Impacts of Bathymetric Changes on Water Level in China’s Largest Freshwater Lake

Cited by 13 publications

References 50 publications

A Real-Time Assessment of Aquatic Ecological Health Using a Process-Based Model: An Example From Lake Poyang, China

A Real-Time Assessment of Aquatic Ecological Health Using a Process-Based Model: An Example From Lake Poyang, China

Anthropogenic Modifications and River Ecosystem Services: A Landscape Perspective

Use of GIS Tools in Sustainable Heritage Management—The Importance of Data Generalization in Spatial Modeling

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