Changes in starch quality of mid-season indica rice varieties in the lower reaches of the Yangtze River in last 80 years

Abstract Honghu Lake is the largest lake-type wetland in Hubei Province, China. It is also one of the largest shallow lakes in the Yangtze River Economic Zone, a key area in the relatively more developed southeast of China. However, the water quality has seen a deterioration tendency in recent decades, mostly owing to unreasonable human activities such as lake enclosure aquaculture following rapid social and economic development. Based on the water quality index (WQI) method, the water quality of Honghu Lake, by the vast amount of data collected from five observation sites monitored over ten years, was analyzed and evaluated. The results show that: (i) the water quality of Honghu Lake is in the ‘General’ grade as a whole with a WQI value of 43.41 ± 6.66; (ii) the water quality has been improving in the recent two years, reversing its decade-long deterioration; (iii) the water quality sampled at the Lantian site is the worst while that of the Guandun site is the best; (iv) the concentration of Pb and Cd are the key parameters to determine the water quality of Honghu Lake. Therefore, it can be concluded that more attention should be paid to investigate heavy metals in Honghu Lake in the future.

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Effect of water diversion from the Yangtze River to Chang Lake on hydrodynamic characteristics and water quality of Chang Lake

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/153/6/062060 ◽

2018 ◽

Vol 153 ◽

pp. 062060

Author(s):

Yan Li ◽

Hong Lin Guan ◽

Yan Wang

Keyword(s):

Water Quality ◽

Yangtze River ◽

Water Diversion ◽

Hydrodynamic Characteristics ◽

The Yangtze River ◽

Effect Of Water

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Numerical Study on the Impact of the Sewage Drainage on Water Quality of Shanghai Water Sources

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.433-440.1020 ◽

2012 ◽

Vol 433-440 ◽

pp. 1020-1026 ◽

Cited By ~ 2

Author(s):

Jie Gu ◽

Wen Ting Li ◽

Jing Huang ◽

Bing Han

Keyword(s):

Water Quality ◽

Yangtze River ◽

Numerical Study ◽

Water Source ◽

The Yangtze River ◽

The South ◽

Tidal Period ◽

High Pollution ◽

The Impact

A 2D current and water quality model was set up with Delft3D-FLOW in this research, which was well calibrated and verified with the observed tidal levels and velocities. Considered with the project of the Qingcaosha Water Source, Pollution concentration distribution caused by sewage outfalls in the south bank of the Yangtze River during a neap tide of dry season is simulated and the computed results show: a high pollution zone appears near the south shore, and moves upward with flood flow and downward with ebb flow, however, it is bounded a limit region around the outfalls. During the tidal period, the water quality of the Qingcaosha water source can be classified as the second class water, which can ensure the normal water supply as the Shanghai water source. It is suggested that the regular monitoring water quality in this high pollution zone should be put into practice to ensure the water quality of water sourecs. The Yangtze River is adjacent to the East Sea and it’s the largest river in China, with obvious seasonal variant runoff and tidal flow. The Yangtze River was bifurcated by Chongming Island to south and north branch from Xuliujing, most of the flow go down through the south branch. The south branch was divided into south and north channel by Changxing Island and Hengsha Island. The south channel was bifurcated by Jiuduansha Shoal to south and north passage, three bifurcation areas and four estuarine outlets were formed (see Fig 1.)

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Research on the Impact of Technology Innovation on Quantity and Quality of Economic Growth in the Yangtze River Delta of China: A Comparative Study

International Journal of Sustainable Development and Planning ◽

10.18280/ijsdp.160806 ◽

2021 ◽

Vol 16 (8) ◽

pp. 1455-1464

Author(s):

Jialei Cao ◽

Chenran Ge

Keyword(s):

Economic Growth ◽

Comparative Study ◽

Yangtze River ◽

Yangtze River Delta ◽

River Delta ◽

Sustainable Growth ◽

The Yangtze River ◽

The Yrd ◽

The Yangtze River Delta

High-quality economic development (HQED) has recently become a crucial sustainable growth mode in China, which pursues economic growth while maintaining social equity and green ecology. The HQED of the Yangtze River Delta (YRD) has played an exemplary role in achieving the leap from “China speed” to “China Quality”. In this paper, we first use the entropy-weight multidimensional comprehensive evaluation method to calculate the HQED index as a proxy for the quality of economic growth. Then, using panel data of 41 cities in the YRD, we conduct a comparative study to examine impacts of technological innovation (TI) on quantity and quality of economic growth by employing different panel estimation models over the period 2009-2019 and check the robustness in five ways. Finally, this paper investigates the TI-economic growth link based on the panel quantile regression across the conditional distributions of economic growth levels. Results show that TI has significantly positive effects in terms of both quantity and quality of economic growth, and the promoting effect on the quantity of economic growth is almost four times higher than that of quality under mean estimations by double fixed-effects. The effect on quantity of economic growth is also stronger than that of quality under the conditional distribution, and TI has a stronger impact for regions with higher levels of economic growth.

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Studies on the Characters of the Improved Semi-Dwarf, High-Yielding Indica Rice Varieties : II. Shape and quality of rice kernel, especially occurrence of white belly kernel

Japanese Journal of Crop Science ◽

10.1626/jcs.48.418 ◽

1979 ◽

Vol 48 (3) ◽

pp. 418-424 ◽

Cited By ~ 1

Author(s):

Seok Weon SEO ◽

Shugo CHAMURA

Keyword(s):

Indica Rice ◽

Rice Varieties ◽

White Belly

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Spatiotemporal Characteristics of the Water Quality and Its Multiscale Relationship with Land Use in the Yangtze River Basin

Remote Sensing ◽

10.3390/rs13163309 ◽

2021 ◽

Vol 13 (16) ◽

pp. 3309

Author(s):

Jian Wu ◽

Sidong Zeng ◽

Linhan Yang ◽

Yuanxin Ren ◽

Jun Xia

Keyword(s):

Water Quality ◽

Land Use ◽

Temporal Variation ◽

Yangtze River ◽

Stream Water ◽

Yangtze River Basin ◽

The Yangtze River ◽

Stream Water Quality ◽

The Yangtze River Basin

The spatiotemporal characteristics of river water quality are the key indicators for ecosystem health evaluation in basins. Land use patterns, as one of the main driving forces of water quality change, affect stream water quality differently with the variations in the spatiotemporal scales. Thus, quantitative analysis of the relationship between different land cover types and river water quality contributes to a better understanding of the effects of land cover on water quality, the landscape planning of water quality protection, and integrated water resources management. Based on water quality data of 2006–2018 at 18 typical water quality stations in the Yangtze River basin, this study analyzed the spatial and temporal variation characteristics of water quality by using the single-factor water quality identification index through statistical analysis. Furthermore, the Spearman correlation analysis method was adopted to quantify the spatial-scale and temporal-scale effects of various land uses, including agricultural land (AL), forest land (FL), grassland (GL), water area (WA), and construction land (CL), on the stream water quality of dissolved oxygen (DO), chemical oxygen demand (CODMn), and ammonia (NH3-N). The results showed that (1) in terms of temporal variation, the water quality of the river has improved significantly and the tributaries have improved more than the main rivers; (2) in the spatial variation respect, the water quality pollutants in the tributaries are significantly higher than those in the main stream, and the concentration of pollutants increases with the decrease of the distance from the estuary; and (3) the correlation between DO and land use is low, while that between NH3-N, CODMn, and land use is high. CL and AL have a negative effect on water quality, while FL and GL have a purifying effect on water quality. In particular, AL and CL have a significant positive correlation with pollutants in water. Compared with NH3-N, CODMn has a higher correlation with land use at a larger scale. The results highlight the spatial scale and seasonal dependence of land use on water quality, which can provide a scientific basis for land management and seasonal pollution control.

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Estimated glycemic index of rice increases with the release of new varieties in the middle reach of the Yangtze River

Discover Food ◽

10.1007/s44187-021-00006-0 ◽

2022 ◽

Vol 2 (1) ◽

Author(s):

Min Huang ◽

Zhengwu Xiao ◽

Liqin Hu ◽

Jiana Chen ◽

Fangbo Cao

Keyword(s):

Glycemic Index ◽

Yangtze River ◽

Amylose Content ◽

The Yangtze River ◽

Middle Reach ◽

Rice Varieties ◽

Potential Health ◽

Estimated Glycemic Index ◽

Increasing Trend ◽

New Varieties

AbstractThe amylose content of newly-released rice varieties has steadily decreased in rice-growing regions in the middle reach of the Yangtze River during 2006–2021, to parallel increasing consumption of soft-textured rice with low amylose content. We estimated the glycemic index of these newly-released rice varieties and reveal a significantly increasing trend, showing a 0.3 annual increase in estimated glycemic index of new rice varieties released each year. These results highlight the need to assess the potential health risks associated with the development of soft-textured rice with low amylose rice.

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Research on the Measurement, Evolution, and Driving Factors of Green Innovation Efficiency in Yangtze River Economic Belt: A Super-SBM and Spatial Durbin Model

Complexity ◽

10.1155/2020/8094247 ◽

2020 ◽

Vol 2020 ◽

pp. 1-14

Author(s):

Renyan Long ◽

Hangyuan Guo ◽

Danting Zheng ◽

Ronghua Chang ◽

Sanggyun Na

Keyword(s):

Economic Growth ◽

Sustainable Development ◽

Environmental Pollution ◽

Yangtze River ◽

Industrial Structure ◽

Driving Factors ◽

Government Support ◽

The Yangtze River ◽

Green Innovation

With the shortage of resources and the increasingly serious environmental pollution in China, green innovation has become a sustainable competition for a region. The Yangtze River Economic Belt (YREB) strategy is one of the most important strategies for the sustainable development of China’s economy under the new normal. Green innovation plays a linking role in the resources exchange and trade flow in YREB, and it is also the foundation and guarantee to implement the YREB strategy. The global environmental pollution and the weak recovery of world economy make the traditional extensive economic growth model unsustainable. Sustainable economic growth should focus on the quality of development and its external costs to the environment. In order to implement the concept of sustainable development, the improvement of logistics ecological efficiency is related to the quality of ecological civilization construction. Therefore, it is of theoretical and practical significance to study the measurement, evolution, and driving factors of coordinated development level of regional green innovation system. This paper proposes a super-slack-based measure (super-SBM) data envelopment analysis (DEA) model to measure the green innovation efficiency of 11 provinces and cities in YREB from 2008 to 2017, mastering its spatial and evolutionary characteristics, and conduct empirical analysis on the influencing factors. The empirical results indicate that economic development, government support, and industrial structure upgrading are the leading forces to directly enhance the green technology innovation ability of cities in the Yangtze River Economic belt and play the core driving role of green innovation. To further enhance the capacity of urban green innovation in the Yangtze River Economic belt, we will increase the government’s support for green innovation, optimize the environmental governance model, promote the green upgrading of industrial structure, and enhance the enthusiasm of enterprises for green innovation.

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