Journal ArticleDOI
The characteristics and causes of increasingly severe saltwater intrusion in Pearl River Estuary
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Wang et al. as discussed by the authors investigated the causes and effects of increasingly severe saltwater intrusion in the Pearl River Estuary (PRE), China, using long-term observation data for river channel bathymetry, hydrology, hydraulics, and meteorology.Abstract:
Under the influences of both anthropogenic activities and natural forces, saltwater intrusion has been a main issue in the Pearl River Estuary (PRE), China, in recent decades. Using long-term observation data for river channel bathymetry, hydrology, hydraulics, and meteorology, the causes and effects of the increasingly severe saltwater intrusion were investigated in this study. The worsening saltwater intrusion is characterized by an increase in salinity, prolonged and seasonally advanced duration with salinity exceeding the national standard, the extension of saltwater intrusion length and the highly stratified salinity, which can be attributed to uneven sand dredging, rising tides and changes of wind directions. Uneven sand dredging indirectly reduced the dilution capacity on the saltwater and made it difficult to discharge the saltwater. Rising tides and northeasterly migration of wind can strengthen the tidal dynamics and push saltwater further upstream. This study aims to draw attention to the issues of saltwater intrusion and offer information for the sustainable utilization of water resources for the estuaries around the world.read more
Citations
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Antibiotics and antidepressants occurrence in surface waters and sediments collected in the north of Portugal.
Maria João Fernandes,Paula Paíga,Ana Maria Gonçalves da Silva,Carmen Pérez Llaguno,Manuela B. de Carvalho,Felipe Macías Vázquez,Cristina Delerue-Matos +6 more
TL;DR: The analysis of sediments exhibits the occurrence of sulfamethoxypyridazine in the Douro river and azithromycin in the Leça river, and more monitoring studies should be performed along the studied rivers to identify the possible sources of pollution.
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Hydro-meteorological risk assessment methods and management by nature-based solutions
Jeetendra Sahani,Prashant Kumar,Prashant Kumar,Sisay Debele,Christos Spyrou,Michael Loupis,Leonardo Aragão,Federico Porcù,Mohammad Aminur Rahaman Shah,Silvana Di Sabatino +9 more
TL;DR: Various methods used for HMR assessment and its management via potential nature-based solutions (NBS), which are actually lessons learnt from nature are discussed, to enhance its wider significance for sustainable living, building adaptations and resilience.
Journal ArticleDOI
Review of drivers and threats to coastal groundwater quality in China
TL;DR: Wang et al. as mentioned in this paper reviewed the groundwater quality data for the coastal basins of China, where over 600 million people live, focussing on key inorganic indicators/pollutants; groundwater salinity, nitrate, fluoride, and arsenic.
Journal ArticleDOI
Review of drivers and threats to coastal groundwater quality in China.
Dongmei Han,Matthew Currell +1 more
TL;DR: Wang et al. as discussed by the authors reviewed the groundwater quality data for the coastal basins of China, where over 600 million people live, focussing on key inorganic indicators/pollutants; groundwater salinity, nitrate, fluoride, and arsenic.
Journal ArticleDOI
Coupling wavelet transform and artificial neural network for forecasting estuarine salinity
Fanhan Zhou,Bingjun Liu,Kai Duan +2 more
TL;DR: Wang et al. as discussed by the authors developed a hybrid model coupling the techniques of wavelet transform (WT) and artificial neural network (ANN) for forecasting estuarine salinity in the Pearl River Estuary, China.
References
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Climate Change 2007: The Physical Science Basis Summary for Policymakers:
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Rank correlation methods
TL;DR: The measurement of rank correlation was introduced in this paper, and rank correlation tied ranks tests of significance were applied to the problem of m ranking, and variate values were used to measure rank correlation.
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Rank Correlation Methods
TL;DR: RankRank correlation coefficients as mentioned in this paper are statistical indices that measure the degree of association between two variables having ordered categories, and are defined such that a coefficient of zero means "no association" between the variables and a value of +1.0 or -1.
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