Evaluation of surface water quality in Heilongjiang Province, China: Based on different quantities of water quality indicators

Qi, Wei; Li, Siying; Xu, Junzeng; Zhang, Dinghao; Liu, Zhenyang; Chen, Peng; Liu, Yuzhou; Ding, Yimin; Tan, Junyi; Li, Jiuying

doi:10.1016/j.ecolind.2023.110472

Cited by 4 publications

(2 citation statements)

References 49 publications

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“…The total water resources in Heilongjiang Province have been steadily increasing each year, as reported in the 2015-2020 Water Resources Bulletin. Although Heilongjiang Province has an overall abundance of water resources, water pollution has become a severe problem in recent years, and many businesses have very high water demands [35][36][37]. The map of the Heilongjiang water system is shown in Figure 2.…”

Section: Overview Of Water Resources In Heilongjiang Provincementioning

confidence: 99%

The Analysis of Present and Future Use of Non-Conventional Water Resources in Heilongjiang Province, China

Guo,

Sun,

et al. 2024

Sustainability

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Analyzing the development trend of non-conventional water resources and identifying the main influencing factors is the initial step toward rapidly increasing the utilization and allocation of these resources in a rational and scientific manner. This will help relieve pressure on water resources and improve the ecological environment. This study introduces the concept of comparison testing and employs advanced Dematel and Random Forest models to identify two sets of optimal indicators from a pool of nine. Based on the two best indicator sets, three prediction models—BP neural network, Particle Swarm Optimization-optimized BP neural network, and Genetic neural network—were used to forecast the future potential of non-conventional water resource use in Heilongjiang Province. The findings reveal that economic indicators are the most significant factors influencing Heilongjiang Province’s utilization of non-conventional water resources. The findings of this study help us understand the extent of development in utilizing non-conventional water resources.

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Section: Overview Of Water Resources In Heilongjiang Provincementioning

confidence: 99%

The Analysis of Present and Future Use of Non-Conventional Water Resources in Heilongjiang Province, China

Guo,

Sun,

et al. 2024

Sustainability

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“…The 3D-EEMs was measured with a Hitachi F-7000 fluorescence spectrometer and the HIX was calculated using MATLAB [35]. Other water quality parameters such as chlorophyll (Chla) [36], total phosphorus (TP), total nitrogen (TN) [37], chemical oxygen demand (COD Mn ) [38], turbidity (Turb) [26], dissolved organic carbon (DOC) [39], total suspended solids (TSM) concentration [40], etc., were obtained by laboratory analysis and testing.…”

Section: Measurement For Cdom Properties and Water Quality Parametersmentioning

confidence: 99%

Remote Sensing Estimation of CDOM and DOC with the Environmental Implications for Lake Khanka

Qiang,

Song,

Shang

et al. 2023

Remote Sensing

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Chromophoric dissolved organic matter (CDOM) is a significant contributor to the biogeochemical cycle and energy dynamics within aquatic ecosystems. Hence, the implementation of a systematic and comprehensive monitoring and governance framework for the CDOM in inland waters holds significant importance. This study conducted the retrieval of CDOM in Lake Khanka. Specifically, we use the GBDT (R2 = 0.84) algorithm which performed best in retrieving CDOM levels and an empirical relationship based on the situ data between CDOM and dissolved organic carbon (DOC) to indicate the distribution of DOC indirectly. The performance of the CDOM-DOC retrieval scheme was reasonably good, achieving an R2 value of 0.69. The empirical algorithms were utilized for the analysis of Sentinel-3 datasets from the period 2016 to 2020 in Lake Khanka. The potential factors that contributed to the sources of DOM were also analyzed with the humification index (HIX). The significant relationship between CDOM and DOC (HIX and chemical oxygen demand (COD)) indicated the potential remote sensing application of water quality monitoring for water management. An analysis of our findings suggests that the water quality of the Great Khanka is superior to that of the Small Khanka. Moreover, the distribution of diverse organic matter exhibits a pattern where concentrations are generally higher along the shoreline compared to the center of the lake. Efficient measures should be promptly implemented to safeguard the water resources in international boundary lakes such as Lake Khanka and comprehensive monitoring systems including DOM distribution, DOM sources, and water quality management would be essential for water resource protection and government management.

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Nitrogen losses from soil as affected by water and fertilizer management under drip irrigation: Development, hotspots and future perspectives

Wei,

et al. 2024

Agricultural Water Management

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Evaluation of surface water quality in Heilongjiang Province, China: Based on different quantities of water quality indicators

Cited by 4 publications

References 49 publications

The Analysis of Present and Future Use of Non-Conventional Water Resources in Heilongjiang Province, China

The Analysis of Present and Future Use of Non-Conventional Water Resources in Heilongjiang Province, China

Remote Sensing Estimation of CDOM and DOC with the Environmental Implications for Lake Khanka

Nitrogen losses from soil as affected by water and fertilizer management under drip irrigation: Development, hotspots and future perspectives

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