Factors Affecting Japanese Pond Smelt (<i>Hypomesus nipponensis</i>) Stock Trajectory in Lake Kasumigaura and Kitaura

Abstract

The Japanese pond smelt (Hypomesus nipponensis) stock has been observed to fluctuate quite rigorously over the years with sustained periods of low catch in Lake Kasumigaura and Kitaura of the Ibaraki prefecture, Japan which would adversely affect the socioeconomic livelihood of the local fishermen and fisheries industry. This study was aimed at determining the factors affecting the stock fluctuation of the pond smelt through the different years in the two lakes. Through exploratory analysis it was found that the pond smelt had significant relationship with total phosphorus (TP) level in both lakes. The global mean land and ocean temperature index (LOTI) was also found to be indirectly related to the pond smelt stock in lake Kasumigaura and Kitaura at the latitude band of 24˚N to 90˚N (l). Both TP and LOTI had inverse relationship with pond smelt trajectory in both lakes. For both Lake Kasumigaura and Kitaura, TP for the individual lakes and LOTI (l) were used as independent variables using generalized linear model and response surface methods for modeling the stock dynamics of the pond smelt in the two lakes. Model selection was based on significant parameter estimates (p < 0.05), Akaikes Information Criterion and R 2 values. Phosphorus loading is an indication of increasing anthropogenic activities in the surrounding area having negative impact on the pond smelt population. When management decisions are being made regarding pond smelt fishery and sustainability plans in the Ibaraki prefecture, the effects of TP and LOTI should be taken into account. Future research needs to be directed towards deeper understanding the mechanisms by which TP and LOTI affect pond smelt population in Lake Kasumigaura and Kitaura for more effective management. * Corresponding author. A. A. Singh et al.211

Research on rural power grid planning method based on improved genetic annealing algorithm

“…Besides, to carry on the check and analysis of its security, so as to formulate the guiding scheme of power network planning. Using the method of linear weight assignment model of power grid planning objective function is as follows [12]: 5) where eco C represents the operating loss parameter, that is, the operating cost of economic operation; env C is the cost of environmental protection operation of the power grid and  is the weight coefficient, whose specific value needs to be determined based on experience. The specific calculation formula for the economic and environmental protection operation cost of the power grid is as follows:…”

“…The rural power grid has undergone significant changes in both capacity and management levels, thanks to years of construction, transformation, and upgrading efforts, significantly improving rural power infrastructure conditions, providing a good development foundation for rural grass-roots economic, social development, and China's new rural construction, and significantly enhancing the rural power grid structure [5]. For further ways of improving the rural economy and raising the urbanization level, leading to a regional rural electricity load rise by the straight line and removal of rural electric power equipment overload phenomenon, in this article will a rural power grid planning model was constructed.…”