Why should we pay attention to “inconsistent” land uses? A viewpoint on water quality

Su, Wei-Chia; Ahern, Jack; Chang, Chun Yen

doi:10.1007/s11355-016-0293-7

Cited by 19 publications

(7 citation statements)

References 30 publications

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“…Particularly, land use/land cover (LULC) change in the watersheds has been a focal area of study for decades among researchers, land planners, and stream managers because of its significant impacts on stream water quality. LULC changes in watersheds can alter watershed characteristics [3,4], thereby affecting various physical and biochemical stream characteristics, such as water temperature, nutrient/chemical concentration, sediment regime, stream geomorphology, aquatic habitat, and ecological biodiversity [3,[5][6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Spatially Varying and Scale-Dependent Relationships of Land Use Types with Stream Water Quality

Park

Lee

2020

IJERPH

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Understanding the complex relationships between land use and stream water quality is critical for water pollution control and watershed management. This study aimed to investigate the relationship between land use types and water quality indicators at multiple spatial scales, namely, the watershed and riparian scales, using the ordinary least squares (OLS) and geographically weighted regression (GWR) models. GWR extended traditional regression models, such as OLS to address the spatial variations among variables. Our results indicated that the water quality indicators were significantly affected by agricultural and forested areas at both scales. We found that extensive agricultural land use had negative effects on water quality indicators, whereas, forested areas had positive effects on these indicators. The results also indicated that the watershed scale is effective for management and regulation of watershed land use, as the predictive power of the models is much greater at the watershed scale. The maps of estimated local parameters and local R2 in GWR models showcased the spatially varying relationships and indicated that the effects of land use on water quality varied over space. The results of this study reinforced the importance of watershed management in the planning, restoration, and management of stream water quality. It is also suggested that planners and managers may need to adopt different strategies, considering watershed characteristics—such as topographic features and meteorological conditions—and the source of pollutants, in managing stream water quality.

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Section: Introductionmentioning

confidence: 99%

Spatially Varying and Scale-Dependent Relationships of Land Use Types with Stream Water Quality

Park

Lee

2020

IJERPH

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“…It is difficult to meet good quality water demand for public health since the world population until 2050 will increase 9,7 million, so this will increase world water demand by 20-30 % (UNESCO, 2019). Land uses-covers and climate change are the main factors of water quality and quantity degradation globally (Giri and Qiu 2016;Su et al 2016). The preparation of better water management policies is based on both land use-cover and climate change impacts on non-point pollution sources and streamflow (Mello et al 2018).…”

Section: Discussionmentioning

confidence: 99%

Land Use and Climate Change Impacts on Flow Rate and Non-point pollution sources in Drinking Water Basins: Namazgah Dam Basin

Özdemir¹,

Karakaya

Altuntaş³

et al. 2022

Preprint

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Successful water resource planning and management can be ensured by understanding the hydrological response of watersheds and non-point pollutions to land use/land cover and climatic changes. This study aims to present the effects of climate and land-use changes on hydrological processes and NPS pollutions to help prepare accurate water management policies based on their impacts. In this study, the Soil and Water Assessment Tool (SWAT) was applied to predict climate and land-use impacts on flow rate and non-point pollutions (NPS) in Namazgah Dam Basin in Turkey. Two different climate change scenarios, RCP 4.5 and RCP 8.5, and land-use scenarios, conversion of shrubland to forest and conversion of agricultural areas to the forest, were used, and statistical analyses were utilized to assess the results. At the end of this study, it was predicted that there would be an increase in phosphorus and nitrate loads and a decrease in streamflow rate.

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“…In accordance with the definition of trophic state given above, the CTSI uses algal biomass as the basis for trophic state classification (28). Three variables including Chl-a concentration, SD, and TP, independently estimate algal biomass.…”

Section: Carlson's Trophic State Indexmentioning

confidence: 99%

The Tendency of Eutrophication Level Prediction in Chengchinghu Reservoir, Kaohsiung City, Taiwan

Putri

Wicaksono

Zafirah

2020

JKL

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Introduction: Reservoir management problems are increasing, and tools are needed to categorize and predict their eutrophication status in order to provide technical support for the government’s decision to protect drinking water resource. Thus, this study aims to predict and classify the tendency of eutrophication level in Chengchinghu Reservoir, Kaohsiung City, Taiwan as one of major water sources for industrial and domestical needs by supplying 109,170,00 m3 for Southern Taiwan. Method: The CTSI (Carlson’s Trophic States Index, which calculated from Chl-a, TP, and transparency) datasets in winter (December-February), spring (March-May), summer (June-August), and fall (September-November) from 2000 to 2017 was collected from Taiwan Environmental Protection Administration (EPA). This study used the Classification and Regresiion Tree (CART) model provides the explicit categorical rules for Chengchinghu Reservoir. Results and Discussion: The CART results for Chengchinghu Reservoir showed the good performance of prediction since the accuracy of the CART training process value reached 61.89%. According to the CART results, the eutrophic state condition is most probably occur in Chengchinghu Reservoir when the TP concentration is greater than 22.86 mg/L or Chl-a concentration is greater than 5.2 μg/L or SD is less than 1.1 m. Conclusion: The CART result may helps the local governments to understand the pollution conditions in Chengchinghu Reservoir and take responsibility for reservoir water management and conservation. Therefore, they could make policies to treat and manage water pollution sources in Chengchinghu Reservoir.

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Why should we pay attention to “inconsistent” land uses? A viewpoint on water quality

Cited by 19 publications

References 30 publications

Spatially Varying and Scale-Dependent Relationships of Land Use Types with Stream Water Quality

Spatially Varying and Scale-Dependent Relationships of Land Use Types with Stream Water Quality

Land Use and Climate Change Impacts on Flow Rate and Non-point pollution sources in Drinking Water Basins: Namazgah Dam Basin

The Tendency of Eutrophication Level Prediction in Chengchinghu Reservoir, Kaohsiung City, Taiwan

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