Examination of the water budget in upstream and midstream regions of the Yellow River, China

Ma, Xieyao; Fukushima, Yoshihiro; Yasunari, Tetsuzo; Matsuoka, Masayuki; Sato, Yoshinobu; Kimura, Fujio; Zheng, Hua

doi:10.1002/hyp.7556

Cited by 8 publications

(6 citation statements)

References 17 publications

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“…Thus, obtaining accurate precipitation data sets is essential for hydrological and ecological research and sustainable water resources management in this region. The spatiotemporal distribution of runoff is similar to that of precipitation, and in the wet season (June-October), runoff accounts for 70% of the annual total runoff [40]. The local predominant land covers are temperate and Alpine grasslands and meadows, and there are permanent snowpack and glaciers in the western mountainous regions.…”

Section: Study Areamentioning

confidence: 85%

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Are the Latest GSMaP Satellite Precipitation Products Feasible for Daily and Hourly Discharge Simulations in the Yellow River Source Region?

Shi

Wang

et al. 2021

Remote Sensing

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Global Satellite Mapping of Precipitation (GSMaP) products, as important satellite-based precipitation products (SPPs) of Global Precipitation Measurement (GPM) mission, have provided hydrologists with critical precipitation data sources for hydrological applications in gauge-sparse or ungauged basins. This study statistically and hydrologically evaluated the latest GPM-era GSMaP SPPs in real-, near-real- and post-real-time versions at daily and hourly temporal scales in the sparsely gauged Yellow River source region (YRSR) in China. It includes the five latest GSMaP SPPs, namely, gauge-adjusted product (GSMaP-Gauge), microwave-infrared reanalyzed product (GSMaP-MVK), near-real-time product (GSMaP-NRT), near-real-time product with gauge-based adjustment (GSMaP-NRT-Gauge), and real-time product (GSMaP-Now). The statistical assessment showed that among all five GSMaP SPPs, GSMaP-Gauge presented the best overall performance in daily and hourly precipitation detections in YRSR, followed by GSMaP-Now. GSMaP-NRT-Gauge was ranked the third, whereas GSMaP-MVK and GSMaP-NRT had relatively inferior performance. Given that GSMaP-Gauge demonstrated the best quality among all evaluated GSMaP SPPs, GSMaP-Gauge displayed the best hydrological feasibility in daily streamflow simulation. Both GSMaP-MVK and GSMaP-NRT presented inferior hydrological capability, with a considerable overestimation of the total streamflow. In contrast, GSMaP-Now and GSMaP-NRT-Gauge displayed basically acceptable hydrological performance in daily discharge simulations. In terms of hourly flood simulations, the performance of GSMaP-Gauge slightly worsened but was comparable to the rain-gauge-based precipitation data set. Following GSMaP-Gauge, GSMaP-Now and GSMaP-NRT-Gauge obtained certain predictability of flood events. In general, GSMaP-MVK and GSMaP-NRT barely had hydrological utility for flood-event simulations.

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Section: Study Areamentioning

confidence: 85%

“…YRSR is the "water tower" of the Yellow River. Its annual mean runoff is 168 mm, occupying 35% of the total runoff of the Yellow River basin [40]. Thus, obtaining accurate precipitation data sets is essential for hydrological and ecological research and sustainable water resources management in this region.…”

Section: Study Areamentioning

confidence: 99%

Are the Latest GSMaP Satellite Precipitation Products Feasible for Daily and Hourly Discharge Simulations in the Yellow River Source Region?

Shi

Wang

et al. 2021

Remote Sensing

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“…Such extreme hydroclimatic events have affected thousands of lives in the recent past, and the water scarcity and socioeconomic damages from drought are anticipated to increase significantly under a future warming climate (Ma et al., 2010; Shi et al., 2021; Wang, Qiu, et al., 2019; Yao et al., 2020). In addition, both observations and model simulations indicate an increase in droughts, floods, and heatwaves under current and future warmer climates (Diffenbaugh et al., 2015; Ma et al., 2010; Ullah, Saleem, et al., 2022; Xing et al., 2022). Besides this, various previous studies have investigated the droughts propagation and agricultural impacts across the region of South Asia (SA) using observational and satellite‐based data sets (Ali et al., 2020; Shahzaman, Zhu, Ullah, et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

Projected Changes in Increased Drought Risks Over South Asia Under a Warmer Climate

Ullah

Asfaw

et al. 2022

Earth's Future

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Every year, millions of people are at risk due to droughts in South Asia (SA). The likely impacts of droughts are projected to increase with global warming. This study uses the new ensemble mean of 23 global climate models from the Coupled Model Intercomparison Project phase 6 (CMIP6), population and gross domestic product (GDP) projections to quantify future changes in increasing drought risks and associated socioeconomic exposure across SA and its subregions under 1.5°C and 2°C of warming. We used two shared socioeconomic pathways (SSPs), SSP2‐4.5 and SSP5‐8.5. The most likely realization copula functions are used to model the joint distribution of drought severity and duration. Simultaneously, changes in the bivariate return period are calculated under a warming climate. The frequency of 50‐year historical droughts (under a bivariate framework) might double across 80% of the SA land area under 1.5°C of warming. Conversely, 12% of SA landmasses may suffer extreme droughts under 2°C of warming. The severe drought episode frequency is expected to increase under 1.5°C (40%–75%) and 2°C (60%–90%) of warming relative to the recent climate. The largest exposure increase is projected in R2 and R4, then R1. Additionally, 75% (65%) of the SA population (GDP) could suffer from increased drought risks under the 1.5°C warmer climate, whereas the additional 0.5°C warming will lead to an unbearable regional situation. Limiting global warming to 1.5°C compared with 2°C can significantly reduce the drought risk influence in SA. These findings can help disaster‐risk managers to adopt climate‐smart management strategies.

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“…Water shortages during this period have destructive effects on the sprouting and emergence of crops and agricultural production. Moreover, associated droughts posed a substantial threat to both residential and industrial water consumption (e.g., the 2014 drought in the Henan Province; Liu et al, ; Ma et al, ). Given these situations, suitable drought‐resistant water amounts must be reserved between the DPLWL and the DSL in reservoirs to mitigate drought effects during different periods.…”

Section: Resultsmentioning

confidence: 99%

Reservoir Operations to Mitigate Drought Effects With a Hedging Policy Triggered by the Drought Prevention Limiting Water Level

Chang

Guo

Wang

et al. 2019

Water Resources Research

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Severe drought events worldwide have considerably unfavorable effects on social and economic development. This paper proposes a hedging policy triggered by the seasonal drought prevention limiting water level (DPLWL) for reservoir operations during a drought event. By using this hedging policy, water resources managers can determine operating policies for drought emergence management according to specific drought conditions. A modeling framework that determines the seasonal DPLWL under different drought conditions is developed based on long-term hydrological and meteorological information and optimal reservoir operation schemes. In particular, Fisher's optimal partitioning algorithm is applied to identifying the seasonality of the DPLWL based on hydroclimatological factors and reservoir storage conditions. The multireservoir system in the Yellow River Basin is used as a case study to assess the performance of the hedging policy triggered by DPLWLs. The results show that DPLWL has a significant advantage over the standard reservoir operation rules when dealing with multireservoir operation for drought mitigation.Plain Language Summary Droughts, which can be a creeping disaster, can cause both natural environmental and social damage. This paper first proposes a hedging policy triggered by the drought prevention limiting water level (DPLWL) for reservoir operations to mitigate drought impacts. Furthermore, a new framework is developed to determine seasonal DPLWLs. This framework is applied to the Yellow River Basin, of which the water flow is regulated by a series of large reservoirs. This study extends the literature on hedging rules for reservoir operation by proposing a new methodology coupled with the DPLWLs, the multivariate integrated drought index (MIDI), and a reservoir operation model. The proposed approach is of great significance for decision makers in water resources management during droughts, particularly in the context of global warming.

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Examination of the water budget in upstream and midstream regions of the Yellow River, China

Cited by 8 publications

References 17 publications

Are the Latest GSMaP Satellite Precipitation Products Feasible for Daily and Hourly Discharge Simulations in the Yellow River Source Region?

Are the Latest GSMaP Satellite Precipitation Products Feasible for Daily and Hourly Discharge Simulations in the Yellow River Source Region?

Projected Changes in Increased Drought Risks Over South Asia Under a Warmer Climate

Reservoir Operations to Mitigate Drought Effects With a Hedging Policy Triggered by the Drought Prevention Limiting Water Level

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