The Establishment of Water Markets in Water Imported Areas of the East-Route of South-to-North Water Transfer Project

Cao, Yingxia; Fang, Guohua; Feng-cun, YU

doi:10.1007/978-3-540-89465-0_261

Cited by 1 publication

(1 citation statement)

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“…In 2022, Zhang et al 17 analyzed the composition of eukaryotic phytoplankton communities in the Danjiangkou Reservoir and the main environmental factors influencing them in July 2019 and January 2020. In 2017, Cao et al, 18 focusing on the middle route of the South-to-North Water Transfer Project, proposed real-time monitoring strategies for water transfer based on the water balance principle and various factors. The impact of hydraulic engineering on climate hydraulic engineering construction can exert certain effects on climate, such as temperature, precipitation, and humidity.…”

Section: Introductionmentioning

confidence: 99%

Analyzing land surface temperature changes in the Danjiang River Basin: a MODIS-based reconstruction and assessment before and after the middle route of the South-to-North Water Diversion Project

Guo,

Wang,

Peng

2024

J. Appl. Rem. Sens.

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Land surface temperature (LST) serves as a crucial parameter in scientific investigations pertaining to resource management, climate change, and terrestrial ecosystems. The implementation of large-scale water conservancy projects influences the water areas of the water source, thereby affecting regional climate, vegetation, and consequently, the LST. At present, widely used moderate resolution imaging spectroradiometer temperature products often exhibit data loss or distortion due to atmospheric interference or technical challenges. We introduce an advanced interpolation of the mean anomaly method, grounded in the digital elevation model, to address these missing values. Moreover, we utilize indicators such as temperature difference (TD) and project effect change intensity (PECI) to scrutinize the influence of the aforementioned water diversion project on the study area's LST. Our findings indicate that: (1) The R 2 values for the improved interpolation of mean anomalies based on the digital elevation model method for LST reconstruction consistently exceed 0.902, demonstrating higher accuracy in regions with significant elevation differences, especially during nighttime. (2) The TD is correlated with the proximity and size of water bodies. (3) The PECI is notably higher during wet seasons and nighttime. There is a minimal variation in the prevalence of extremely strong impact areas across different periods. (4) Subsequent to the middle route of the South-to-North Water Diversion Project, both warming and cooling effects have been observed in the study area. Notably, the direction of the warming effect is divergent in the northern mountainous regions compared with the central and southern plains.

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Section: Introductionmentioning

confidence: 99%