Poyang Lake basin: a successful, large-scale integrated basin management model for developing countries

2011 ◽  
Vol 63 (9) ◽  
pp. 1899-1905 ◽  
Author(s):  
Meiqiu Chen ◽  
Xiaohua Wei ◽  
Hongsheng Huang ◽  
Tiangui Lü
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Environmental Protection ◽  
Large Scale ◽  
Poyang Lake ◽  
Management Model ◽  
Lake Basin ◽  
Clear Water ◽  
Basin Management ◽  
Poyang Lake Basin

Protection of water environment while developing socio-economy is a challenging task for lake regions of many developing countries. Poyang Lake is the largest fresh water lake in China, with its total drainage area of 160,000 km2. In spite of rapid development of socio-economy in Poyang Lake region in the past several decades, water in Poyang Lake is of good quality and is known as the “last pot of clear water” of the Yangtze River Basin in China. In this paper, the reasons of “last pot of clear water” of Poyang Lake were analysed to demonstrate how economic development and environmental protection can be coordinated. There are three main reasons for contributing to this coordinated development: 1) the unique geomorphologic features of Poyang Lake and the short water residence time; 2) the matching of the basin physical boundary with the administrative boundary; and 3) the implementation of “Mountain-River-Lake Program” (MRL), with the ecosystem concept of “mountain as source, river as connection flow, and lake as storage”. In addition, a series of actions have been taken to coordinate development, utilisation, management and protection in the Poyang Lake basin. Our key experiences are: considering all basin components when focusing on lake environment protection is a guiding principle; raising the living standard of people through implementation of various eco-economic projects or models in the basin is the most important strategy; preventing soil and water erosion is critical for protecting water sources; and establishing an effective governance mechanism for basin management is essential. This successful, large-scale basin management model can be extended to any basin or lake regions of developing countries where both environmental protection and economic development are needed and coordinated.

scholarly journals Regional Characteristics of Long-Term Variability of Summer Precipitation in the Poyang Lake Basin and Possible Links with Large-Scale Circulations

Atmosphere ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 1033
Author(s):  
Hua Zhu ◽  
Handan He ◽  
Hongxiang Fan ◽  
Ligang Xu ◽  
Jiahu Jiang ◽  
...  
Keyword(s):  
Large Scale ◽  
Poyang Lake ◽  
Summer Precipitation ◽  
Climate Indices ◽  
Lake Basin ◽  
Regional Characteristics ◽  
Poyang Lake Basin ◽  
Region I ◽  
Region Ii

Understanding the spatiotemporal regime of summer precipitation at local scales plays a key role in regional prevention and mitigation of floods disasters and water resources management. Previous works focused on spatiotemporal characteristics of a region as a whole but left the influence of associated physical factors on sub-regions unexplored. Based on the precipitation data of 77 meteorological stations in the Poyang Lake basin (PYLB) from 1959 to 2013, we have investigated regional characteristics of summer precipitation in the PYLB by integrating the rotated empirical orthogonal function (REOF) analysis with hierarchical clustering algorithm (HCA). Then the long-term variability of summer precipitation in sub-regions of the PYLB and possible links with large-scale circulations was investigated using multiple trend analyses, wavelet analysis and correlation analysis. The results indicate that summer precipitation variations in the PYLB were of very striking regional characteristics. The PYLB was divided into three independent sub-regions based on two leading REOF modes and silhouette coefficient (SC). These sub-regions were located in northern PYLB (sub-region I), central PYLB (sub-region II), and southern PYLB (sub-region III). The summer precipitation in different sub-regions exhibited distinct variation trends and periodicities, which was associated with different factors. All sub-regions show no trends over the whole period 1959–2013, rather they show trends in different periods. Trends per decade in annual summer precipitation in sub-region I and sub-region II were consistent for all periods with different start and end years. The oscillations periods with 2–3 years were found in summer precipitation of all the three sub-regions. Summer precipitation in sub-region I was significantly positively correlated with the previous Indian Ocean Dipole (IOD) event, but negatively correlated with East Asian Summer Monsoon (EASM). While summer precipitation in sub-region II and sub-region III showed weak teleconnections with climate indices. All of the results of this study are conducive to further understand both the regional climate variations in the PYLB and response to circulation patterns variations.

scholarly journals Spatiotemporal Variations of Drought and Their Teleconnections with Large-Scale Climate Indices over the Poyang Lake Basin, China

2020 ◽  
Vol 12 (9) ◽  
pp. 3526 ◽  
Author(s):  
Weilin Liu ◽  
Shengnan Zhu ◽  
Yipeng Huang ◽  
Yifan Wan ◽  
Bin Wu ◽  
...  
Keyword(s):  
Water Resource Management ◽  
Large Scale ◽  
Poyang Lake ◽  
Southern Oscillation ◽  
Trend Test ◽  
Climate Indices ◽  
Lake Basin ◽  
Spatiotemporal Variations ◽  
Poyang Lake Basin ◽  
Decadal Scale

The intensity and frequency of droughts in Poyang Lake Basin have been increasing due to global warming. To properly manage water resources and mitigate drought disasters, it is important to understand the long-term characteristics of drought and its possible link with large-scale climate indices. Based on the monthly meteorological data of 41 meteorological stations in Poyang Lake Basin from 1958 to 2017, the spatiotemporal variations of drought were investigated using the standardized precipitation evapotranspiration index (SPEI). Ensemble empirical mode decomposition (EEMD) methods and the modified Mann–Kendall (MMK) trend test were used to explore the spatiotemporal characteristics and trends of drought. Furthermore, to reveal possible links between drought variations and large-scale climate indices in Poyang Lake Basin, the relationships between SPEI and large-scale climate indices, such as North Atlantic Oscillation (NAO), El Niño–Southern Oscillation (ENSO), Arctic Oscillation (AO), Indian Ocean Dipole (IOD) and Pacific Decadal Oscillation (PDO) were examined using cross-wavelet transform. The results showed that the SPEI in Poyang Lake Basin exhibited relatively stable quasi-periodic oscillation, with approximate quasi-3-year and quasi-6-year periods at the inter-annual scale and quasi-15-year and quasi-30-year periods at the inter-decadal scale from 1958 to 2017. Moreover, the Poyang Lake Basin experienced an insignificantly wetter trend as a whole at the annual and seasonal scales during the period of 1958–2017, except for spring, which had a drought trend. The special characteristics of the trend variations were markedly different in the basin. The areas in which drought was most likely to occur were mainly located in the Poyang Lake region, northwest and south of the basin, respectively. Furthermore, relationships between the drought and six climate indices showed that the drought exhibited a significant temporal correlation with five climate indices at restricted intervals, except for IOD. The dominant influences of the large-scale climate indices on the drought evolutions shifted in the Poyang Lake Basin during 1958–2017, from the NAO, Niño 3.4, and the Southern Oscillation Index (SOI) before the late 1960s and early 1970s, to the AO and PDO during the 1980s, then to the NAO, AO and SOI after the early 2000s. The NAO, AO and SOI exerted a significant influence on the drought events in the basin. The results of this study will benefit regional water resource management, agriculture production, and ecosystem protection in the Poyang Lake Basin.

scholarly journals Spatial and temporal variability of seasonal precipitation in Poyang Lake basin and possible links with climate indices

2016 ◽  
Vol 47 (S1) ◽  
pp. 51-68 ◽  
Author(s):  
Jun Shao ◽  
Jun Wang ◽  
Sunyun Lv ◽  
Jianping Bing
Keyword(s):  
El Niño ◽  
Large Scale ◽  
Poyang Lake ◽  
El Nino ◽  
Climate Indices ◽  
Lake Basin ◽  
Seasonal Precipitation ◽  
Poyang Lake Basin ◽  
The Cross ◽  
Cross Wavelet

Based on the precipitation data of 21 meteorological stations in Poyang Lake basin, the temporal and spatial variability of seasonal precipitation was analyzed by wavelet analysis method. This study adopted the cross wavelet transform to analyze the correlation between the seasonal precipitation and climate indices in time and frequency scales, discussed the possible links between its precipitation variations and climate indices, and preliminarily analyzed its mechanism and regular pattern of variation. The results showed that the oscillations in 2–4 years' and 4–8 years' bands were the main variation periods of seasonal precipitation in Poyang Lake basin. In the 2–4 years' band, the years of rainfall peaks appearing in Poyang Lake were basically consistent with the years when El Niño appeared, and the precipitation oscillations in summer appeared more dramatic in space. According to analysis on the cross wavelet power spectra between different seasonal rainfalls and climate indices, certain correlations between climate factors and seasonal precipitation had existed in specific time periods. Large-scale climate oscillations like the El Niño/Southern Oscillation, North Atlantic Oscillation, Indian Ocean Dipole, and Pacific Decadal Oscillation caused the variability of large-scale circulations through their respective independent or inter-coupled climate systems, and affected the precipitation distribution in Poyang Lake basin by changing local climate conditions like the East Asian Monsoon.

scholarly journals ECONOMIC DEVELOPMENT AND ENVIRONMENT IN THE LIGHT OF INDIAN ENVIRONMENTAL JURISPRUDENCE

2018 ◽  
pp. 59-72
Author(s):  
Foram Pandya ◽  
Bhavesh Bharad
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Environmental Pollution ◽  
Environmental Protection ◽  
Development Strategy ◽  
Large Scale ◽  
Judicial Activism ◽  
Healthy Environment ◽  
The Right ◽  
Development And Environment

The conflict between economic growth and environment is sharper today than ever before, particularly in developing countries like India. India, just like other developing countries, has adopted development strategy based primarily on large-scale industrialization, energy-intensive technologies and biochemical-based agricultural technology which has led to environmental degradation. The legislative and executive efforts have been notable towards Environmental Protection laws and principles in the legal jurisprudence of India, most notably the 46th Amendment to the Constitution of India in 1976 which explicitly laid down Environmental Protection as part of the Constitution and enactment of the Environment Protection Act 1986. Though initiatives have been taken by the Legislature and the Executive, the Judiciary has taken a lead in this race through careful judicial thinking of the Courts which has been very helpful in controlling environmental pollution. Due to non-compliance of its own laws by the State machinery, the Judiciary invented a new method of Judiciary-driven implementation of the regulations in India. Recently judicial activism has provided impetus to campaign against various environmental pollution issues arising in the country. The Indian Judiciary has interpreted Art.21 to give it an expanded meaning to bring within its ambit the right of every citizen to a clean, safe and healthy environment. The author in the current paper aims to analyze how far judicial activism has been effective in bringing about improvement in the environment and also aims to show how sustainable development is important to secure long term economic development in the country and make the economy resilient to future contingencies.

scholarly journals K-Means and C4.5 Decision Tree Based Prediction of Long-Term Precipitation Variability in the Poyang Lake Basin, China

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 834
Author(s):  
Dan Lou ◽  
Mengxi Yang ◽  
Dawei Shi ◽  
Guojie Wang ◽  
Waheed Ullah ◽  
...  
Keyword(s):  
Machine Learning ◽  
Decision Tree ◽  
Large Scale ◽  
Poyang Lake ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Lake Basin ◽  
Area Index ◽  
Poyang Lake Basin ◽  
Learning Techniques

The machine learning algorithms application in atmospheric sciences along the Earth System Models has the potential of improving prediction, forecast, and reconstruction of missing data. In the current study, a combination of two machine learning techniques namely K-means, and decision tree (C4.5) algorithms, are used to separate observed precipitation into clusters and classified the associated large-scale circulation indices. Observed precipitation from the Chinese Meteorological Agency (CMA) during 1961–2016 for 83 stations in the Poyang Lake basin (PLB) is used. The results from K-Means clusters show two precipitation clusters splitting the PLB precipitation into a northern and southern cluster, with a silhouette coefficient ~0.5. The PLB precipitation leading cluster (C1) contains 48 stations accounting for 58% of the regional station density, while Cluster 2 (C2) covers 35, accounting for 42% of the stations. The interannual variability in precipitation exhibited significant differences for both clusters. The decision tree (C4.5) is employed to explore the large-scale atmospheric indices from National Climate Center (NCC) associated with each cluster during the preceding spring season as a predictor. The C1 precipitation was linked with the location and intensity of subtropical ridgeline position over Northern Africa, whereas the C2 precipitation was suggested to be associated with the Atlantic-European Polar Vortex Area Index. The precipitation anomalies further validated the results of both algorithms. The findings are in accordance with previous studies conducted globally and hence recommend the applications of machine learning techniques in atmospheric science on a sub-regional and sub-seasonal scale. Future studies should explore the dynamics of the K-Means, and C4.5 derived indicators for a better assessment on a regional scale. This research based on machine learning methods may bring a new solution to climate forecast.

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