Dynamic monitoring of the largest reservoir in North China based on multi-source satellite remote sensing from 2013 to 2022: Water area, water level, water storage and water quality

Yao, Jiaqi; Sun, Shiyi; Zhai, Haoran; Feger, Karl‐Heinz; Zhang, Lulu; Tang, Xinming; Li, Guoyuan; Wang, Qiang

doi:10.1016/j.ecolind.2022.109470

Cited by 16 publications

(4 citation statements)

References 18 publications

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“…With the help of climate models, they predicted the future fluctuating changes of the Victoria lake. Yao et al [12] deduced the influence of climate change and human activities on the 10years variation of Miyun Reservoir, the largest comprehensive water conservancy project in northern China by analyzing multi-source satellite remote sensing data. Conventional observations are the commonly used method to study the hydrologic cycle in the past, but they need large gauged stations to sustain, which is a constraint in small and/or remote regions.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of water isotopes and their indication for water budget in a closed reservoir, Southeast China

Huang,

Ouyang,

et al. 2024

Applied Mathematics and Nonlinear Sciences

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Xili reservoir is one of the most important drinking water reservoirs in southeast China, ensuring the safety of water supply in Shenzhen city. Understanding the water balance in the reservoir system under climate change and human activities is essential for making optimal water use planning. To assess the water balance of the Xili reservoir system, the water isotope characteristics in rainfall, reservoir water, groundwater, soil, and plant were investigated. The variation of isotope composition in rainfall, reservoir water, and groundwater indicates the different recharging and mixing water sources. A mathematical mass-balance model was established to evaluate the water budget in the Xili reservoir. Roughly 35% of total incoming water was consumed by evaporation, which reminds managers to pay more attention to making scientific planning.

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Section: Introductionmentioning

confidence: 99%

Characteristics of water isotopes and their indication for water budget in a closed reservoir, Southeast China

Huang,

Ouyang,

et al. 2024

Applied Mathematics and Nonlinear Sciences

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“…In the field of image classification, semantic segmentation models are represented by Convolutional Neural Networks (CNNs). Their versatility has spurred applications across diverse fields, encompassing structures [21,22], road networks [23], agricultural lands [24,25], and aquatic zones [26,27], thereby establishing a robust groundwork for feature discernment and terrace delineation. In contemporary applications, deep learning models proficiently discern the peripheral profiles and overarching attributes of terraced landscapes [28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Dual-Task Network for Terrace and Ridge Extraction: Automatic Terrace Extraction via Multi-Task Learning

Zhang,

Huang

et al. 2024

Remote Sensing

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Terrace detection and ridge extraction from high-resolution remote sensing imagery are crucial for soil conservation and grain production on sloping land. Traditional methods use low-to-medium resolution images, missing detailed features and lacking automation. Terrace detection and ridge extraction are closely linked, with each influencing the other’s outcomes. However, most studies address these tasks separately, overlooking their interdependence. This research introduces a cutting-edge, multi-scale, and multi-task deep learning framework, termed DTRE-Net, designed for comprehensive terrace information extraction. This framework bridges the gap between terrace detection and ridge extraction, executing them concurrently. The network incorporates residual networks, multi-scale fusion modules, and multi-scale residual correction modules to enhance the model’s robustness in feature extraction. Comprehensive evaluations against other deep learning-based semantic segmentation methods using GF-2 terraced imagery from two distinct areas were undertaken. The results revealed intersection over union (IoU) values of 85.18% and 86.09% for different terrace morphologies and 59.79% and 73.65% for ridges. Simultaneously, we have confirmed that the connectivity of results is improved when employing multi-task learning for ridge extraction compared to directly extracting ridges. These outcomes underscore DTRE-Net’s superior capability in the automation of terrace and ridge extraction relative to alternative techniques.

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“…Water storage duration can affect drinking water quality (Yao et al, 2022). This research was conducted to determine changes in the pH, turbidity, and growth parameters of Escherichia coli and Coliform sp bacteria using the Most Probable Number (MPN) method in drinking water filter membrane technology with variations in temperature and storage time.…”

Section: Introductionmentioning

confidence: 99%

Effect of Storage Time and Temperature on Drinking Water Characteristics

Fitria,

Qadafi,

Kusuma

et al. 2023

JCBEEM

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Filter membrane technology is known to remove turbidity, colour and microorganisms in water. However, the stability of these parameters during storage is still being determined. This research was conducted to determine changes in pH, turbidity, and total coliform of water treated using membrane filter technology and stored at room temperature and in the refrigerator. Water stored at room temperature increases the pH more easily during storage time. On the other hand, there was no significant difference between changes in the turbidity value of water stored at room temperature and in the refrigerator. Closed storage at room temperature and refrigerators can also protect water from the growth of total coliform. Water treated using membrane filter technology is proven to be stored at room temperature or in the refrigerator without experiencing significant changes in pH, turbidity, and total coliform.

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Dynamic monitoring of the largest reservoir in North China based on multi-source satellite remote sensing from 2013 to 2022: Water area, water level, water storage and water quality

Cited by 16 publications

References 18 publications

Characteristics of water isotopes and their indication for water budget in a closed reservoir, Southeast China

Characteristics of water isotopes and their indication for water budget in a closed reservoir, Southeast China

Dual-Task Network for Terrace and Ridge Extraction: Automatic Terrace Extraction via Multi-Task Learning

Effect of Storage Time and Temperature on Drinking Water Characteristics

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