Water Stress Induced by Enrichment of Nutrient and Climate Change Factors

Stefan, Daniela Simina; Stefan, Mircea

doi:10.5772/64665

Cited by 5 publications

(6 citation statements)

References 43 publications

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“…It is likely because in the rainy season, a high load of organic matter and nutrients from human activities at the sampling sites were frequently flushed by stormwater runoff, and then ended up in the river. A high level of organic matter and nutrients can lower the dissolved oxygen in the river water that was consumed by microorganisms during its decomposition process (Duc et al 2013;Stefan & Stefan 2016). Among sampling sites, the DO were found highest in the less impacted areas and lowest in the industrial areas (Figure 2).…”

Section: Physicochemical Parametersmentioning

confidence: 99%

Influences of anthropogenic activities on water quality in the Saigon River, Ho Chi Minh City

Truong

Loc³

et al. 2022

Journal of Water and Health

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Water quality for the surface water along the Saigon River in Ho Chi Minh City was assessed for four groups of water samples collected at the agricultural, industrial, residential, and less impacted areas. A variety of parameters indicating water quality including physicochemical parameters, nutrients, heavy metals, and antibiotic residues were measured for both the rainy and dry seasons, two main tropical seasons in HCM City using the standard methods. The results showed that the river water in the rainy season was detected with significantly higher values of turbidity, BOD5, PO4-P, NH4-N, NO3-N; and lower values of pH, temperature, conductivity, DO, salinity, Cu, Zn, As, Ni, Hg compared to that in the dry season. Sulfamethoxazole and trimethoprim were highly detected in the industrial areas compared to the agricultural and residential areas. Multivariate analyses suggested that the industrial and residential activities were more important contributors to the pollution of the Saigon River than the agricultural activities in HCM City.

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Section: Physicochemical Parametersmentioning

confidence: 99%

Influences of anthropogenic activities on water quality in the Saigon River, Ho Chi Minh City

Truong

Loc³

et al. 2022

Journal of Water and Health

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“…Arable land represents about 63% of the agricultural area, permanent crops 3% and permanent grassland 33%. In addition, 28% of Romania's land is forested [5].…”

Section: Resultsmentioning

confidence: 99%

Study of Utilization of Agricultural Waste as Environmental Issue in Romania

Ungureanu¹,

Ignat²,

Vintu³

et al. 2017

Rev. Chim.

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Agriculture and animal husbandry produce significant quantity of solid or liquid residues and waste products. Unfortunately, some of these wastes are not dealt with properly and are causing considerable damage to the environment. Agricultural wastes (AW) in Romania amount range from 7600 thousand tons a year of which only 1400 thousand tons as animal feed and 1100 thousand tons as organic manure are being utilized. These crop waste results after harvesting in the farm of leaves stem which are characterized as coarse plant by-products and big size, chemically low in protein and fat contents, or, like other country (example: Netherlands) avoid waste as much as possible, recover the valuable raw materials from any waste that is created, try to generate energy by incinerating the residual waste, and only then dump what is left. The focus of the research paper is to investigate the importance of agriculture wastes that becomes very obvious and aggregated after the harvest crops. The most common solution is the utilizations of agricultural waste for compositing, as animal fodder, most often as a source of energy, food production, by growing mushroom on agricultural wastes such as oat straw as a substrate. This means the conversion of wastes to economic, nutritional human food. Growing vegetables on oat straw compacted bales in areas where soil disease and salinity are constrains. The implementation of most of the solutions to agricultural waste management does not meet the basic elements of sustainability like environmental protection and social progression, technical and technological improvement as well as economic improvements.

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“…Dysfunctionalities related to water level dynamics can reduce estuary flushing rates if river flow decreases, while if the flow rate increases, the N and P upward loading of aquatic ecosystems will appear by transferring these nutrients from agriculture fields, as confirmed by other studies. Nutrients, especially phosphorus and nitrogen from various sources, and increasing temperatures constitute the major causes of degradation of the aquatic ecosystems, namely in the form of eutrophication [40]. Climate change will significantly alter nitrogen cycling processes, with a negative impact on aquatic ecosystems as well as human health [37].…”

Section: Impact Of Climate Change On Aquatic Ecosystemsmentioning

confidence: 99%

A Forecasting and Prediction Methodology for Improving the Blue Economy Resilience to Climate Change in the Romanian Lower Danube Euroregion

Petrea

Zamfir²,

Simionov

et al. 2021

Sustainability

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European Union (EU) policy encourages the development of a blue economy (BE) by unlocking the full economic potential of oceans, seas, lakes, rivers and other water resources, especially in member countries in which it represents a low contribution to the national economy (under 1%). However, climate change represents a main barrier to fully realizing a BE. Enabling conditions that will support the sustainable development of a BE and increase its climate resiliency must be promoted. Romania has high potential to contribute to the development of the EU BE due to its geographic characteristics, namely the presence of the Danube Delta–Black Sea macrosystem, which is part of the Romanian Lower Danube Euroregion (RLDE). Aquatic living resources represent a sector which can significantly contribute to the growth of the BE in the RLDE, a situation which imposes restrictions for both halting biodiversity loss and maintaining the proper conditions to maximize the benefits of the existing macrosystem. It is known that climate change causes water quality problems, accentuates water level fluctuations and loss of biodiversity and induces the destruction of habitats, which eventually leads to fish stock depletion. This paper aims to develop an analytical framework based on multiple linear predictive and forecast models that offers cost-efficient tools for the monitoring and control of water quality, fish stock dynamics and biodiversity in order to strengthen the resilience and adaptive capacity of the BE of the RLDE in the context of climate change. The following water-dependent variables were considered: total nitrogen (TN); total phosphorus (TP); dissolved oxygen (DO); pH; water temperature (wt); and water level, all of which were measured based on a series of 26 physicochemical indicators associated with 4 sampling areas within the RLDE (Brăila, Galați, Tulcea and Sulina counties). Predictive models based on fish species catches associated with the Galati County Danube River Basin segment and the "Danube Delta” Biosphere Reserve Administration territory were included in the analytical framework to establish an efficient tool for monitoring fish stock dynamics and structures as well as identify methods of controlling fish biodiversity in the RLDE to enhance the sustainable development and resilience of the already-existing BE and its expansion (blue growth) in the context of aquatic environment climate variation. The study area reflects the integrated approach of the emerging BE, focused on the ocean, seas, lakes and rivers according to the United Nations Agenda. The results emphasized the vulnerability of the RLDE to climate change, a situation revealed by the water level, air temperature and water quality parameter trend lines and forecast models. Considering the sampling design applied within the RLDE, it can be stated that the Tulcea county Danube sector was less affected by climate change compared with the Galați county sector as confirmed by water TN and TP forecast analysis, which revealed higher increasing trends in Galați compared with Tulcea. The fish stock biodiversity was proven to be affected by global warming within the RLDE, since peaceful species had a higher upward trend compared with predatory species. Water level and air temperature forecasting analysis proved to be an important tool for climate change monitoring in the study area. The resulting analytical framework confirmed that time series methods could be used together with machine learning prediction methods to highlight their synergetic abilities for monitoring and predicting the impact of climate change on the marine living resources of the BE sector within the RLDE. The forecasting models developed in the present study were meant to be used as methods of revealing future information, making it possible for decision makers to adopt proper management solutions to prevent or limit the negative impacts of climate change on the BE. Through the identified independent variables, prediction models offer a solution for managing the dependent variables and the possibility of performing less cost-demanding aquatic environment monitoring activities.

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Water Stress Induced by Enrichment of Nutrient and Climate Change Factors

Cited by 5 publications

References 43 publications

Influences of anthropogenic activities on water quality in the Saigon River, Ho Chi Minh City

Influences of anthropogenic activities on water quality in the Saigon River, Ho Chi Minh City

Study of Utilization of Agricultural Waste as Environmental Issue in Romania

A Forecasting and Prediction Methodology for Improving the Blue Economy Resilience to Climate Change in the Romanian Lower Danube Euroregion

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