Sedimentation problems and management strategies of Sanmenxia Reservoir, Yellow River, China

2005 ◽  
Vol 41 (9) ◽  
Author(s):  
Guangqian Wang ◽  
Baosheng Wu ◽  
Zhao-Yin Wang
Keyword(s):  
Yellow River ◽  
Management Strategies ◽  
Sanmenxia Reservoir

scholarly journals Hydrological Response of East China to the Variation of East Asian Summer Monsoon

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Fuxing Li ◽  
Dong Chen ◽  
Qiuhong Tang ◽  
Wenhong Li ◽  
Xuejun Zhang
Keyword(s):  
Summer Monsoon ◽  
East Asian Summer Monsoon ◽  
Yellow River ◽  
Asian Summer Monsoon ◽  
Global Climate ◽  
East Asian ◽  
Management Strategies ◽  
East China ◽  
Severe Drought ◽  
Asian Summer

The sensitivity of hydrologic variables in East China, that is, runoff, precipitation, evapotranspiration, and soil moisture to the fluctuation of East Asian summer monsoon (EASM), is evaluated by the Mann-Kendall correlation analysis on a spatial resolution of 1/4° in the period of 1952–2012. The results indicate remarkable spatial disparities in the correlation between the hydrologic variables and EASM. The regions in East China susceptible to hydrological change due to EASM fluctuation are identified. When the standardized anomaly of intensity index of EASM (EASMI) is above 1.00, the runoff of Haihe basin has increased by 49% on average, especially in the suburb of Beijing and Hebei province where the runoff has increased up to 105%. In contrast, the runoff in the basins of Haihe and Yellow River has decreased by about 27% and 17%, respectively, when the standardized anomaly of EASMI is below −1.00, which has brought severe drought to the areas since mid-1970s. The study can be beneficial for national or watershed agencies developing adaptive water management strategies in the face of global climate change.

scholarly journals Recovery measures and field management strategies after hailstone damage in upland cotton

2021 ◽  
Author(s):  
Hushuai Nie ◽  
Ying Su ◽  
Le Li ◽  
Maohua Dai ◽  
Dingwei Wang ◽  
...  
Keyword(s):  
Upland Cotton ◽  
Yellow River ◽  
Fiber Quality ◽  
Management Strategies ◽  
Economic Loss ◽  
Yellow River Basin ◽  
Yield Potential ◽  
Hail Damage ◽  
Yield Production ◽  
Cotton Plants

Abstract Background Hailstorm might damage cotton plants severely and cause heavy economic loss in field production. It hailed vehemently three times in 2015 and 2016 in Yellow River Basin Cotton Region and damaged cotton seedling and buds. The apical buds, leaves and stems were damaged as well as boll branches and few flower buds in our experiments. Serials strategies were performed to recover and rescue the cotton plants. Based on evaluating the hailstone damage, we fertilized 112.50 kg/ha Urea fertilizer (N content ≥ 46.4%) and intertilled the field timely. Results The recovery of plant individuals sprouted new buds and many new leaves after 12 DAH. Then the unnecessary shoots were pruned to adjust the development of fruit branches. Normally three new boll branches (NBB) in the major stem were reserved and eight subsequent emerging boll branches (EBB) in cotton plants. Five accessions with varied recovery ability and with different yield potential were sampled to compare the yield after hail damage, Sumian 20, 11–0710 and 11–0516 increased, while the other two accessions decreased relative to the normal production without hail damage. BC and RIL populations of upland cotton were used to evaluate the damage ratio of yield, which resulted in yield loss ranged 13.45%-20.27%. Fiber length, fibre elongation, fibre uniformity, and fiber elongation decreased slightly in the five accessions and in two populations. Conclusions The present study indicated that different accessions showed varied recovery ability for yield production, but all of them with a decreased ratio less than 20%. In addition, there was no significant effect on fiber quality in different cotton varieties. These results proved that the cotton plants can compensate by proper field managements, and remedial output could be obtained after hail damage.

Nowhere to Call Home: A Study of Sanmenxia-Reservoir Resettlement From Henan To Gansu, 1956–1965

2021 ◽  
pp. 1-22
Author(s):  
Xiangli Ding
Keyword(s):  
Rural Communities ◽  
Land Reclamation ◽  
Yellow River ◽  
The State ◽  
The Yellow River ◽  
Gobi Desert ◽  
Large Reservoir ◽  
Reclamation Project ◽  
Sanmenxia Reservoir ◽  
Reservoir Resettlement

Abstract In the late 1950s, the creation of a large reservoir for the Sanmenxia hydropower project required the displacement of tens of thousands of households along the Yellow River. Simultaneously, the state commenced a land-reclamation project, sending people from populated areas to the frontiers. Under the supervision of county and provincial authorities, more than 7,000 reservoir inhabitants from Henan were mobilized to migrate to Dunhuang, an oasis surrounded by the Gobi Desert in the northwest. The socialist state's pursuit of irrigation and hydroelectricity benefits not only altered the waterscape of the Yellow River; it also impacted nearby rural communities as well as those a thousand miles away. From the high-modernist perspective, the state-sponsored demographic engineering and the Yellow River engineering seemed to complement each other well. Yet, with the massive flight of resettlers, the state-envisioned integration of reservoir displacement and frontier reclamation ultimately failed.

Response of channel geometry to flow and sediment conditions in the lower Yellow River

2020 ◽  
Author(s):  
Huan Jing ◽  
Deyu Zhong ◽  
Hongwu Zhang
Keyword(s):  
Yellow River ◽  
Management Strategies ◽  
Sediment Concentration ◽  
Main Channel ◽  
Channel Stability ◽  
Cross Sectional ◽  
Channel Geometry ◽  
Lower Yellow River ◽  
The Lower Yellow River ◽  
Erosion Intensity

<p>The channel geometry in a fluvial river is significantly affected by the flow and sediment regimes, and the response behavior of channel dimensions usually varies widely to different management strategies from the upstream reservoir. Therefore, it is significantly crucial to investigate the variation of the channel geometry in response to changing flow and sediment conditions and quantify the influence of the latter in the sedimentation reduction and flood releasing in lower reaches downstream of the dam. In this study, three laboratory experiments on the physical model covering the typical braided reach HGK—JHT downstream of the Xiaolangdi Reservoir in the lower Yellow River are carried out, under the discharge of 2000 m<sup>3</sup>/s, 3000 m<sup>3</sup>/s, and 4000 m<sup>3</sup>/s respectively and with the corresponding constant suspended sediment concentration of 8.0 kg/m<sup>3</sup>. Results indicate that (i) spatially, the erosion and deposition in studied channel reach distributed alternately along the course which performs typical evolution properties of the braided river, corresponding to the total erosion amount of 2.27×10<sup>6 </sup>m<sup>3</sup>, 10.29×10<sup>6</sup> m<sup>3</sup>, and 7.98×10<sup>6</sup> m<sup>3</sup> for three magnitude of discharges; and (ii) four representative adjustment patterns are listed based on the observed cross-sectional geometry after each experiment, including the lateral widening pattern, vertical incision pattern, composite pattern and geometrical stable pattern where sectional geometry rarely changes during the period of experiment; and (iii) the quantity <em>ξ=B</em><sup>1/2</sup>/<em>H</em> where <em>B</em> and <em>H</em> is the width and depth of the main channel zone is selected as the typical indicator to determine the variation of the channel stability. It is discovered that <em>ξ </em>in the reaches upstream of section FJS have rather larger values, implying relatively wider and shallower sectional geometry and lower channel stability which is closely associated with the levee safety. And moreover, the quantity <em>ξ </em>generally has lower values, that is, higher channel stability with the increase of experiment discharge; Besides, through the method of nonlinear regression analysis, the empirical relations for HGK—JHT Reach are developed between the main channel dimensions and incoming flow erosion intensity <em>F</em>=(<em>Q</em><sup>2</sup>/<em>S</em>)/10<sup>6</sup> where <em>Q</em> is the discharge and <em>S</em> is the corresponding sediment concentration. In general, the calculated results are generally consistent with the measured values, as the riverbed degradation and the variation of sectional area increase exponentially with a stronger erosion intensity <em>F</em>.This paper may provide some practical basis for the study of channel evolution in sediment-laden rivers.</p>

scholarly journals Sediment yield error correction by dynamic system response curve method in real-time flood forecasting

2020 ◽  
Author(s):  
Lu Hou ◽  
Weimin Bao ◽  
Wei Si ◽  
Peng Jiang ◽  
Peng Shi ◽  
...  
Keyword(s):  
Dynamic System ◽  
Real Time ◽  
Sediment Yield ◽  
Response Curve ◽  
Yellow River ◽  
Management Strategies ◽  
Real Data ◽  
Flood Forecasting ◽  
Rain Gauge ◽  
System Response

Abstract Real-time flood forecasting requires accurate and reliable estimates of the uncertainty to make efficient flood event management strategies. However, the accuracy of flood forecasts can be severely affected by errors in the estimates of sediment yield in the loess region. To improve the accuracy of sediment-laden flood forecasts generated using streamflow-sediment coupled (SSC) model, an error feedback correction method based on the dynamic system response curve (DSRC) is proposed. The physical basis of the system response curve is the sediment concentration of the hydrological model. The theoretical basis of the method is the differential of the system response function of the sediment yield time series. The effectiveness of DSRC method is evaluated via an ideal case and three real-data cases with different basin scales of the Yellow River. Results suggest that the DSRC method can effectively improve the accuracy and stability of sediment transport forecasts by providing accurate estimates of the sediment yield errors. The degree of forecast improvement is scale dependent and is more significant for larger basins with lower rain gauge densities. Besides, the DSRC method is relatively simple to apply without the need to modify either the model structure or parameters in real-time flood forecasting.

scholarly journals Trend and change points of streamflow in the Yellow River and their attributions

2020 ◽  
Author(s):  
Dunyu Zhong ◽  
Zengchuan Dong ◽  
Guobin Fu ◽  
Jiaqi Bian ◽  
Feihe Kong ◽  
...  
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Human Activity ◽  
Water Resource Management ◽  
Yellow River ◽  
Management Strategies ◽  
Yellow River Basin ◽  
Change Points ◽  
The Yellow River ◽  
The Yellow River Basin

Abstract The impacts of climate change and human activity, combined with streamflow reduction in the Yellow River Basin, have presented significant challenges to water resource management strategies. Here, the trends and change points of streamflow were determined for the period 1956–2017 via five statistical methods. A runoff-sensitive coefficients method (the Budyko hypothesis) and a conceptual rainfall–runoff model (the TUW model) were applied to assess the streamflow variation. The following conclusions were ascertained: (1) 1989, 1986, and 1990 were the change points for streamflow in the upstream Tang-Nai-Hai and Lan-Zhou stations and the downstream Hua-Yuan-Kou hydrological station; (2) the streamflow showed statistically significant decreasing trends with spatiotemporal variations in the Yellow River Basin; (3) the relationship between runoff and precipitation showed a downward trend over time; (4) comparisons of the Budyko and TUW models show that human activity is responsible for more than 65% of streamflow reduction, while climate change contributes to less than 35% of the reduction. Therefore, human activity is the main reason for streamflow reduction in the Yellow River Basin. This finding is of critical importance for water resources management under changing environment.

scholarly journals Service Value of Wetland Ecosystem in Sanmenxia Reservoir Area

2020 ◽  
Keyword(s):  
Ecosystem Service ◽  
Yellow River ◽  
Support Service ◽  
Wetland Protection ◽  
Wetland Ecosystem ◽  
Ecological Services ◽  
Systematic Analysis ◽  
Reservoir Area ◽  
Ecological Service ◽  
Sanmenxia Reservoir

<p>The evaluation of wetland ecosystem service lays the foundation to the wetland protection and exploitation. Evaluating the ecological service of all types of wetlands scientifically and reasonably is critical to improving the quality of ecological environment and securing the regional ecological security. In the middle reaches of the Yellow River, a typical sediment-laden river wetland- Sanmenxia Reservoir area Wetland, is chosen as the research target. Based on the systematic analysis its unique formation process and ecological services, the biological resources are formed, including the value of supply service, regulation service, support service, and cultural service. The value of wetland ecological services was calculated by market value, opportunity cost, shadow engineering and substitution cost methods. The results show that the total value of wetland ecosystem service is worth about 80.86 billion yuan, and the dominant ecological services are regulation service and support service with the economic value of 46.49% and 50.85% respectively. The evaluation results make people more directly understand the importance of wetland leading ecological service and provide scientific basis for the protection and management of wetland in Sanmenxia Reservoir area.</p>

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