Delineation of reservoirs using remote sensing and their storage estimate: an example of the Yellow River basin, China

Ran, Lishan; Lu, Xixi

doi:10.1002/hyp.8224

Cited by 60 publications

(37 citation statements)

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“…O C can be determined through the seaward sediment and its OC content. Seaward sediment flux has been continuously recorded for more than 60 yr, and the sediment's OC content has also been investigated in recent years (Chu et al, 2009;Ran et al, 2013a). Terms T C , H C , W C , P C , and R C are not directly known but can be approximated from sediment flux data and the corresponding OC content.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

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Erosion-induced massive organic carbon burial and carbon emission in the Yellow River basin, China

Ran

Xin

2014

Biogeosciences

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Abstract. Soil erosion and terrestrial deposition of soil organic carbon (SOC) can potentially play a significant role in global carbon cycling. Assessing the redistribution of SOC during erosion and subsequent transport and burial is of critical importance. Using hydrological records of soil erosion and sediment load, and compiled organic carbon (OC) data, estimates of the eroded soils and OC induced by water in the Yellow River basin during the period 1950-2010 were assembled. The Yellow River basin has experienced intense soil erosion due to combined impact of natural process and human activity. Over the period, 134.2 ± 24.7 Gt of soils and 1.07 ± 0.15 Gt of OC have been eroded from hillslopes based on a soil erosion rate of 1.7-2.5 Gt yr −1 . Approximately 63 % of the eroded soils were deposited in the river system, while only 37 % were discharged into the ocean. For the OC budget, approximately 0.53 ± 0.21 Gt (49.5 %) was buried in the river system, 0.25 ± 0.14 Gt (23.5 %) was delivered into the ocean, and the remaining 0.289 ± 0.294 Gt (27 %) was decomposed during the erosion and transport processes. This validates the commonly held assumption that 20-40 % of the eroded OC would be oxidized after erosion. Erosion-induced OC redistribution on the landscape likely represented a carbon source, although a large proportion of OC was buried. In addition, about half of the terrestrially redeposited OC (49.4 %) was buried behind dams, revealing the importance of dam trapping in sequestering the eroded OC. Although several uncertainties need to be better constrained, the obtained budgetary results provide a means of assessing the redistribution of the eroded OC within the Yellow River basin. Human activities have significantly altered its redistribution pattern over the past decades.

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Section: Conceptual Frameworkmentioning

confidence: 99%

“…With a total storage capacity of 72 km 3 exceeding the annual water flux, flow dynamics in the Yellow River have been significantly modified by reservoirs (Ran and Lu, 2012). Furthermore, sediment trapping has altered its sediment delivery process (Fig.…”

Section: Sediment Deposition Within Dams and Channelsmentioning

confidence: 99%

Erosion-induced massive organic carbon burial and carbon emission in the Yellow River basin, China

Ran

Xin

2014

Biogeosciences

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“…In areas with less cloud cover, data from optical sensors such as Landsat imagery can be used for this purpose (e.g. Qi et al, 2009;Ran and Lu, 2012). Ran and Lu (2012) noted that images with cloud cover of less than 5 % are preferred.…”

Section: Introductionmentioning

confidence: 99%

“…Qi et al, 2009;Ran and Lu, 2012). Ran and Lu (2012) noted that images with cloud cover of less than 5 % are preferred. However, for the humid tropics area, the preferred limit of cloud cover is hard or even impossible to be satisfied.…”

Section: Introductionmentioning

confidence: 99%

Flood occurrence mapping of the middle Mahakam lowland area using satellite radar

Hidayat

Hoekman

Vissers³

et al. 2012

Hydrol. Earth Syst. Sci.

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Abstract. Floodplain lakes and peatlands in the middle Mahakam lowland area are considered as ecologically important wetland in East Kalimantan, Indonesia. However, due to a lack of data, the hydrological functioning of the region is still poorly understood. Among remote sensing techniques that can increase data availability, radar is well-suitable for the identification, mapping, and measurement of tropical wetlands, for its cloud unimpeded sensing and night and day operation. Here we aim to extract flood extent and flood occurrence information from a series of radar images of the middle Mahakam lowland area. We explore the use of Phased Array L-band Synthetic Aperture Radar (PALSAR) imagery for observing flood inundation dynamics by incorporating field water level measurements. Water level measurements were carried out along the river, in lakes and in peatlands, using pressure transducers. For validation of the open water flood occurrence map, bathymetry measurements were carried out in the main lakes. A series of PALSAR images covering the middle and lower Mahakam area in the years 2007 through 2010 were collected. A fully inundated region can be easily recognized on radar images from a dark signature. Open water flood occurrence was mapped using a threshold value taken from radar backscatter of the permanently inundated river and lakes areas. Radar backscatter intensity analysis of the vegetated floodplain area revealed consistently high backscatter values, indicating flood inundation under forest canopy. We used those values as the threshold for flood occurrence mapping in the vegetated area.

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“…Some examples are the Shuttle Radar Topography Mission (SRTM) applied in the Three Gorges reservoir in China (WANG et al, 2005), optical sensors such as Landsat (COLLISCHONN;CLARKE, 2016;RAN;LU, 2012) and MODIS (GAO;BIRKETT;LETTENMAIER, 2012;OVAKOGLOU et al, 2016). The spatiotemporal monitoring of surface water bodies is also possible using remote sensors as the applications in wetlands (TULBURE;BROICH, 2013), in large reservoirs around the globe (GAO; BIRKETT; LETTENMAIER, 2012), nearshore bathymetry (PACHECO et al, 2015) and near real-time monitoring in Africa (PEKEL, et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Characterization of reservoirs for water supply in Northeast Brazil using high resolution remote sensing

Nascimento¹,

Neto

2017

RBRH

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This paper reports the application of information acquired by aerial survey to characterize water supply reservoirs in the Pajeú River Basin (Pernambuco State/Brazil). The survey was carried out with digital cameras of high spatial resolution and laser relief profiling (LiDAR technology). Two areas were selected to apply the remote sensing products. Small reservoirs in the Quixaba Creek Basin were identified based on their topographic characteristics. Given that the small reservoirs are "depressions" in the terrain, they can be "filled", resulting in a new Digital Terrain Model (DTM). The difference between the filled DTM and the original DTM makes it possible to identify the reservoirs. A summary of the results is: 61 reservoirs were correctly detected; 18 reservoirs were not detected; 13 reservoirs were detected erroneously. In another application, the storage capacity of the reservoirs belonging to the hydrosystems of Pajeú River Basin was estimated. The storage in these reservoirs and maximum surface area were estimated using DTM and geoprocessing tools. From the total of 31 reservoirs evaluated, eight were completely empty at the time of the LiDAR data collection. The official registers reported 83.83 million m 3 for the storage capacity of these eight reservoirs, whereas our applications estimated the value at 70.23 million m 3 . This difference is explained by the loss of volume in the reservoirs due to the process of sediment transport.Keywords: LiDAR; Semiarid; Water resources; Storage capacity. RESUMOEste artigo apresenta a aplicação de produtos adquiridos por levantamento aéreo para caracterização de reservatórios de abastecimento de água na Bacia do Rio Pajeú (Pernambuco/Brasil). O levantamento foi feito com câmeras digitais de alta resolução espacial e perfilamento de relevo a laser (tecnologia LiDAR). Foram selecionadas duas áreas para aplicação dos produtos de sensoriamento remoto. Pequenos reservatórios na Bacia do Riacho Quixaba foram identificados com base em suas características topográficas. Considerando que os pequenos reservatórios são "depressões" no terreno, eles podem ser "preenchidos" resultando em um novo MDT. A diferença entre o MDT preenchido e o MDT original torna possível a identificação dos reservatórios. O resumo dos resultados é: 61 reservatórios foram corretamente detectados; 18 reservatórios não foram detectados; 13 reservatórios foram detectados erroneamente. Em outra aplicação, foi estimada a capacidade de armazenamento dos reservatórios pertencentes aos hidrossistemas da Bacia do Rio Pajeú. O armazenamento nos reservatórios e a área superficial máxima foram estimados utilizando o MDT e ferramentas de geoprocessamento.

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Delineation of reservoirs using remote sensing and their storage estimate: an example of the Yellow River basin, China

Cited by 60 publications

References 38 publications

Erosion-induced massive organic carbon burial and carbon emission in the Yellow River basin, China

Erosion-induced massive organic carbon burial and carbon emission in the Yellow River basin, China

Flood occurrence mapping of the middle Mahakam lowland area using satellite radar

Characterization of reservoirs for water supply in Northeast Brazil using high resolution remote sensing

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