Academic literature on the topic 'Dynamic meteorology East Asia'

Abstract. Averaged seasonal variations of wind perturbation intensities and vertical flux of horizontal momentum produced by internal gravity waves (IGWs) with periods 0.2-1 h and 1-6 h are studied at the altitudes 65-80 km using the MU radar measurement data from the middle and upper atmosphere during 1986-1997 at Shigaraki, Japan (35° N, 136° E). IGW intensity has maxima in winter and summer, winter values having substantial interannual variations. Mean wave momentum flux is directed to the west in winter and to the east in summer, opposite to the mean wind in the middle atmosphere. Major IGW momentum fluxes come to the mesosphere over Shigaraki from the Pacific direction in winter and continental Asia in summer.Key words: Meteorology and atmospheric dynamics (middle atmosphere dynamics; waves and tides) · Ionosphere (ionospheric disturbances)

Abstract. We present the WRF-GC model v2.0, an online two-way coupling of the Weather Research and Forecasting (WRF) meteorological model (v3.9.1.1) and the GEOS-Chem model (v12.7.2). WRF-GC v2.0 is built on the modular framework of WRF-GC v1.0 and further includes aerosol–radiation interaction (ARI) and aerosol–cloud interaction (ACI) based on bulk aerosol mass and composition, as well as the capability to nest multiple domains for high-resolution simulations. WRF-GC v2.0 is the first implementation of the GEOS-Chem model in an open-source dynamic model with chemical feedbacks to meteorology. In WRF-GC, meteorological and chemical calculations are performed on the exact same 3-D grid system; grid-scale advection of meteorological variables and chemical species uses the same transport scheme and time steps to ensure mass conservation. Prescribed size distributions are applied to the aerosol types simulated by GEOS-Chem to diagnose aerosol optical properties and activated cloud droplet numbers; the results are passed to the WRF model for radiative and cloud microphysics calculations. WRF-GC is computationally efficient and scalable to massively parallel architectures. We use WRF-GC v2.0 to conduct sensitivity simulations with different combinations of ARI and ACI over China during January 2015 and July 2016. Our sensitivity simulations show that including ARI and ACI improves the model's performance in simulating regional meteorology and air quality. WRF-GC generally reproduces the magnitudes and spatial variability of observed aerosol and cloud properties and surface meteorological variables over East Asia during January 2015 and July 2016, although WRF-GC consistently shows a low bias against observed aerosol optical depths over China. WRF-GC simulations including both ARI and ACI reproduce the observed surface concentrations of PM2.5 in January 2015 (normalized mean bias of −9.3 %, spatial correlation r of 0.77) and afternoon ozone in July 2016 (normalized mean bias of 25.6 %, spatial correlation r of 0.56) over eastern China. WRF-GC v2.0 is open source and freely available from http://wrf.geos-chem.org (last access: 20 June 2021).

It is well reported that the 2015–16 El Niño event is one of the most intense and long lasting events in the 21st century. The quantified changes in the trace gases (Ozone (O3), Carbon Monoxide (CO) and Water Vapour (WV)) in the tropical upper troposphere and lower stratosphere (UTLS) region are delineated using Aura Microwave Limb Sounder (MLS) and Atmosphere Infrared Radio Sounder (AIRS) satellite observations from June to December 2015. Prior to reaching its peak intensity of El Niño 2015–16, large anomalies in the trace gases (O3 and CO) were detected in the tropical UTLS region, which is a record high in the 21st century. A strong decrease in the UTLS (at 100 and 82 hPa) ozone (~200 ppbv) in July-August 2015 was noticed over the entire equatorial region followed by large enhancement in the CO (150 ppbv) from September to November 2015. The enhancement in the CO is more prevalent over the South East Asia (SEA) and Western Pacific (WP) regions where large anomalies of WV in the lower stratosphere are observed in December 2015. Dominant positive cold point tropopause temperature (CPT-T) anomalies (~5 K) are also noticed over the SEA and WP regions from the high-resolution Constellation Observing System for Meteorology, Ionosphere and Climate (COSMIC) Global Position System (GPS) Radio Occultation (RO) temperature profiles. These observed anomalies are explained in the light of dynamics and circulation changes during El Niño.

Abstract. The land biosphere, atmospheric chemistry and climate are intricately interconnected, yet the modeling of carbon–climate and chemistry–climate interactions have evolved as entirely separate research communities. We describe the Yale Interactive terrestrial Biosphere (YIBs) model version 1.0, a land carbon cycle model that has been developed for coupling to the NASA Goddard Institute for Space Studies (GISS) ModelE2 global chemistry–climate model. The YIBs model adapts routines from the mature TRIFFID (Top-down Representation of Interactive Foliage and Flora Including Dynamics) and CASA (Carnegie–Ames–Stanford Approach) models to simulate interactive carbon assimilation, allocation, and autotrophic and heterotrophic respiration. Dynamic daily leaf area index is simulated based on carbon allocation and temperature- and drought-dependent prognostic phenology. YIBs incorporates a semi-mechanistic ozone vegetation damage scheme. Here, we validate the present-day YIBs land carbon fluxes for three increasingly complex configurations: (i) offline local site level, (ii) offline global forced with WFDEI (WATCH Forcing Data methodology applied to ERA-Interim data) meteorology, and (iii) online coupled to the NASA ModelE2 (NASA ModelE2-YIBs). Offline YIBs has hourly and online YIBs has half-hourly temporal resolution. The large observational database used for validation includes carbon fluxes from 145 flux tower sites and multiple satellite products. At the site level, YIBs simulates reasonable seasonality (correlation coefficient R > 0.8) of gross primary productivity (GPP) at 121 out of 145 sites with biases in magnitude ranging from −19 to 7 % depending on plant functional type. On the global scale, the offline model simulates an annual GPP of 125 ± 3 Pg C and net ecosystem exchange (NEE) of −2.5 ± 0.7 Pg C for 1982–2011, with seasonality and spatial distribution consistent with the satellite observations. We assess present-day global ozone vegetation damage using the offline YIBs configuration. Ozone damage reduces global GPP by 2–5 % annually with regional extremes of 4–10 % in east Asia. The online model simulates annual GPP of 123 ± 1 Pg C and NEE of −2.7 ± 0.7 Pg C. NASA ModelE2-YIBs is a useful new tool to investigate coupled interactions between the land carbon cycle, atmospheric chemistry, and climate change.

Abstract. The land biosphere, atmospheric chemistry and climate are inextricably interconnected. We describe the Yale Interactive terrestrial Biosphere (YIBs) model, a land carbon cycle model that has been developed for coupling to the NASA Goddard Institute for Space Studies (GISS) ModelE2 global chemistry–climate model. The YIBs model adapts routines from the mature TRIFFID and CASA models to simulate interactive carbon assimilation, allocation, and autotrophic and heterotrophic respiration. Dynamic daily leaf area index is simulated based on carbon allocation and temperature- and drought-dependent prognostic phenology. YIBs incorporates a semi-mechanistic ozone vegetation damage scheme. Here, we validate the present day YIBs land carbon fluxes for three increasingly complex configurations: (i) off-line local site-level (ii) off-line global forced with WFDEI (WATCH Forcing Data methodology applied to ERA-Interim data) meteorology (iii) on-line coupled to the NASA ModelE2 (NASA ModelE2-YIBs). Off-line YIBs has hourly and on-line YIBs has half-hourly temporal resolution. The large observational database used for validation includes carbon fluxes from 145 flux tower sites and multiple satellite products. At the site level, YIBs simulates reasonable seasonality (correlation coefficient R > 0.8) of gross primary productivity (GPP) at 121 out of 145 sites with biases in magnitude ranging from −19 to 7% depending on plant function type. On the global scale, the off-line model simulates an annual GPP of 125 ± 3 petagrams of carbon (Pg C) and net ecosystem exchange (NEE) of −2.5 ± 0.7 Pg C for 1982–2011, with seasonality and spatial distribution consistent with the satellite observations. We assess present day global ozone vegetation damage using the off-line YIBs configuration. Ozone damage reduces global GPP by 2–5% annually with regional extremes of 4–10% in East Asia. The on-line model simulates annual GPP of 123 ± 1 Pg C and NEE of −2.7 ± 0.7 Pg C. NASA ModelE2-YIBs is a useful new tool to investigate coupled interactions between the land carbon cycle, atmospheric chemistry, and climate change.

This paper presents some results of rainfall forecast in the monsoon onset period in South Vietnam, with the use of ensemble Kalman filter to assimilate observation data into the initial field of the model. The study of rainfall forecasts are experimented at the time of Southern monsoon outbreaks for 3 years (2005, 2008 and 2009), corresponding to 18 cases. In each case, there are five trials, including satellite wind data assimilation, upper-air sounding data assimilation, mixed data (satellite wind+upper-air sounding data) assimilation and two controlled trials (one single predictive test and one multi-physical ensemble prediction), which is equivalent to 85 forecasts for one trial. Based on the statistical evaluation of 36 samples (18 meteorological stations and 18 trials), the results show that Kalman filter assimilates satellite wind data to forecast well rainfall at 48 hours and 72 hours ranges. With 24 hour forecasting period, upper-air sounding data assimilation and mixed data assimilation experiments predicted better rainfall than non-assimilation tests. The results of the assessment based on the phase prediction indicators also show that the ensemble Kalman filter assimilating satellite wind data and mixed data sets improve the rain forecasting capability of the model at 48 hours and 72 hour ranges, while the upper-air sounding data assimilation test produces satisfactory results at the 72 hour forecast range, and the multi-physical ensemble test predicted good rainfall at 24 hour and 48 hour forecasts. The results of this research initially lead to a new research approach, Kalman Filter Application that assimilates the existing observation data into input data of the model that can improve the quality of rainfall forecast in Southern Vietnam and overall country in general.References Bui Minh Tuan, Nguyen Minh Truong, 2013. 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In this paper, seismic activity characteristics in the East Sea area was analyzed by authors on the base of the unified earthquake catalog (1900-2017), including 131505 events with magnitude 3 ≤ Mw ≤ 8.4. The seismic intensity in the East Sea during the period 1900-2017 is characterized by the earthquake representative level Mw = 4.7. The strong earthquake activity in the East Sea area clearly shows the regularity in each stage. In the period from 1900 to 2017, the East Sea area has four periods of strong earthquake activity, each stage is nearly 30 years with particular characteristics. The distribution of the maximum earthquake quantities by years has a cyclicity in all four periods. In each stage there are 1-2 strong earthquakes with Mmax ≥ 8.0. The strong earthquakes with Mmax ≥ 7.5 have occurred by a repeatable rule of 3-5 years in all four stages. This allows the prediction of the maximum earthquake repeat cycle of Mmax ≥ 7.5 in the study area is 3-5 years. In other hand, the maximum magnitude values for the East Sea region has assessed by GEV method with several different predict periods (20, 40, 60, 80, 100 years), with predicted probability 80%. We concluded that it is possible that earthquake have Mmax = 8.7 will occur in next 100 years.ReferencesBautista C.B., Bautista M.L.P., Oike K., Wu F.T., Punongbayan R.S., 2001. A new insight on the geometry of subducting slabs in northern Luzon, Philippines. Tectonophysics, 339, 279-310.Bui Cong Que, et al., 2010. Seismic and tsunamis hazard in coastal Viet Nam. Natural Science and Technology Publishing House, 311p.Bui Van Duan, Nguyen Cong Thang, Nguyen Van Vuong, Pham Dinh Nguyen, 2013. The magnitude of the largest possible earthquake in the Muong La-Bac Yen fault zone. J. Sci. of the Earth, 35, 53-59 (in Vietnamese).Cao Dinh Trieu, Pham Nam Hung, 2008. Deep-seated fault zone presents the risk of strong earthquakes in the East and South Vietnam Sea. 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Abstract. Atmospheric aerosols can exert an influence on meteorology and air quality through aerosol–radiation interaction (ARI) and aerosol–cloud interaction (ACI), and this two-way feedback has been studied by applying two-way coupled meteorology and air quality models. As one of the regions with the highest aerosol loading in the world, Asia has attracted many researchers to investigate the aerosol effects with several two-way coupled models (WRF-Chem, WRF-CMAQ, GRAPES-CUACE, WRF-NAQPMS, and GATOR-GCMOM) over the last decade. This paper attempts to offer a bibliographic analysis regarding the current status of applications of two-way coupled models in Asia, related research focuses, model performances, and the effects of ARI and/or ACI on meteorology and air quality. There were a total of 160 peer-reviewed articles published between 2010 and 2019 in Asia meeting the inclusion criteria, with more than 79 % of papers involving the WRF-Chem model. The number of relevant publications has an upward trend annually, and East Asia, India, and China, as well as the North China Plain are the most studied areas. The effects of ARI and both ARI and ACI induced by natural aerosols (particularly mineral dust) and anthropogenic aerosols (bulk aerosols, different chemical compositions, and aerosols from different sources) are widely investigated in Asia. Through the meta-analysis of surface meteorological and air quality variables simulated by two-way coupled models, the model performance affected by aerosol feedbacks depends on different variables, simulation time lengths, selection of two-way coupled models, and study areas. Future research perspectives with respect to the development, improvement, application, and evaluation of two-way coupled meteorology and air quality models are proposed.

Climate change induced sea-level rise (SLR) is on its increase globally. Regionally the lowlands of China, Vietnam, Bangladesh, and islands of the Malaysian, Indonesian and Philippine archipelagos are among the world’s most threatened regions. Sea-level rise has major impacts on the ecosystems and society. It threatens coastal populations, economic activities, and fragile ecosystems as mangroves, coastal salt-marches and wetlands. This paper provides a summary of the current state of knowledge of sea level-rise and its effects on both human and natural ecosystems. The focus is on coastal urban areas and low lying deltas in South-East Asia and Vietnam, as one of the most threatened areas in the world. About 3 mm per year reflects the growing consensus on the average SLR worldwide. The trend speeds up during recent decades. The figures are subject to local, temporal and methodological variation. In Vietnam the average values of 3.3 mm per year during the 1993-2014 period are above the worldwide average. Although a basic conceptual understanding exists that the increasing global frequency of the strongest tropical cyclones is related with the increasing temperature and SLR, this relationship is insufficiently understood. Moreover the precise, complex environmental, economic, social, and health impacts are currently unclear. SLR, storms and changing precipitation patterns increase flood risks, in particular in urban areas. Part of the current scientific debate is on how urban agglomeration can be made more resilient to flood risks. Where originally mainly technical interventions dominated this discussion, it becomes increasingly clear that proactive special planning, flood defense, flood risk mitigation, flood preparation, and flood recovery are important, but costly instruments. 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This paper reviews the meteorology of the Western Indian Ocean and uses a state–of–the–art atmospheric general circulation model to investigate the influence of the East African Highlands on the climate of the Indian Ocean and its surrounding regions. The new 44–year re–analysis produced by the European Centre for Medium range Weather Forecasts (ECMWF) has been used to construct a new climatology of the Western Indian Ocean. A brief overview of the seasonal cycle of the Western Indian Ocean is presented which emphasizes the importance of the geography of the Indian Ocean basin for controlling the meteorology of the Western Indian Ocean. The principal modes of inter–annual variability are described, associated with El Niño and the Indian Ocean Dipole or Zonal Mode, and the basic characteristics of the subseasonal weather over the Western Indian Ocean are presented, including new statistics on cyclone tracks derived from the ECMWF re–analyses. Sensitivity experiments, in which the orographic effects of East Africa are removed, have shown that the East African Highlands, although not very high, play a significant role in the climate of Africa, India and Southeast Asia, and in the heat, salinity and momentum forcing of the Western Indian Ocean. The hydrological cycle over Africa is systematically enhanced in all seasons by the presence of the East African Highlands, and during the Asian summer monsoon there is a major redistribution of the rainfall across India and Southeast Asia. The implied impact of the East African Highlands on the ocean is substantial. The East African Highlands systematically freshen the tropical Indian Ocean, and act to focus the monsoon winds along the coast, leading to greater upwelling and cooler sea–surface temperatures.

With the world’s population set to reach 9 billion by the mid 21st century food security has never been more important. Increased competition regarding land for agricultural use and over fished seas means it falls to aquaculture to meet the global demands for protein requirements. The largest supply of aquaculture products are cultivated in South East Asia where the industry has seen rapid expansion, particularly of pond production in the past 50 years. This initial expansion has come at a cost with mangrove losses and eutrophication of natural water sources resulting. The impact of these not only affects other stakeholders, including domestic users, but effects will be felt by the aquaculture industry. Indiscriminate release of effluents to the surrounding water reduces the water quality for other users and may impact on the farm discharging the water originally. Poor water quality can then result in poor growth rates and increased mortalities reducing the profitability of the farm and endangering the livelihood of the farmer. If aquaculture is to meet the global food demand it is important that current and future enterprises are developed with sustainability at the fore front. This study investigates the nutrient dynamics in pond culture in South East Asia, focussing initially on four countries outlined by the SEAT (Sustainable Ethical Aquaculture Trade) project, including Thailand, Vietnam, China and Bangladesh. Within the four countries the main species cultured for export were identified resulting in tilapia, shrimp, pangasiid catfish and prawn. Following a farmer survey designed to collect a large volume of data over a range of topics including, water management, social, economic and ethical perceptions, dynamic models were developed, using Powersim Studio 8© (Powersim, Norway), for a generic fish and shrimp ponds separately. The models draw on data from the survey combined with other literature sources to provide outputs for Total Nitrogen and Total Phosphorus in water and sediment as well as dissolved oxygen in the pond water. One of the biggest challenges facing this study was the objective selection of relevant sites for case studies to apply the models to. With such a large preselected set of sites (200 per species per country) it was important that the method be capable of handling such large datasets. Thusly it was decided that a multivariate method be used due to the removal of any pre judgement of the data relevant to the study. In order to investigate the nutrient dynamics water management data was used in the multivariate analysis to identify any similarity between the practices occurring on farms. The case studies in this project focus on Thailand and Vietnam, covering tilapia, shrimp and pangasius. Prawn farms were disregarded as, through the survey, it was discovered most production was for domestic trade. The models were adapted to each farm case study expanding the boundary from pond level to farm level, providing an output for each pond in terms of nutrients in the water and production levels and the farm as a whole for dissolved oxygen and sediment accumulation. The results of the models suggest the culture species to be taking up much of the TN added followed by the accumulation in sediments in shrimp ponds, while TP is mostly taken up by sediments. The fish case studies suggest that most of the TN is discharged to the environment followed by uptake. While Total phosphorus shows similar results to shrimp, accumulating in the sediment. The models presented in this study can be used to estimate outputs from farms of similar water management strategies and can assist in the determination of where improvements can be made to reduce the potential for eutrophication of natural water sources.

This thesis contains three empirical essays in banking. The empirical analyses focus on the role of information in banking. This will be done by analyzing the effectiveness of three types of signals that are sent by banks. The first signal is the CAMEL-type indicators that measure the soundness of the banks. The second signal is the price offered by banks in attracting deposits. The third signal is the amount of risk related information that banks disclose in their financial statements. This thesis aims to answer a few key questions that are relevant in banking. Firstly, it aims to find if CAMEL-type indicators are able to predict subsequent decisions by regulators to fail banks. This analysis will focus on the banks' liquidity ratio before and during crises in finding whether high liquidity holding and high reliance on external funding contribute towards the subsequent failure of the banks. Secondly, it aims to find if depositors discipline banks by focusing on depositors' reaction to the price signal from banks. Lastly, it aims to find if depositors react to the amount of risk-related information that banks disclose. The empirical issues are analyzed using the sample of financial institutions in five crisis led East Asian countries namely Indonesia, Korea, Malaysia, Philippines and Thailand. Among the striking findings in Chapter 2 are that the effect of liquidity on the probability of bank failure varies before and during a crisis. The results show the vulnerabilities of banks to failure declines as a result of higher liquidity holding. The results also show that banks' probability of failure increases as a result of high reliance on external funding. Findings in Chapter 3 confirm the endogenous relationship between the price and quantity of deposits in the depositor discipline model. Panel data analysis shows that depositors' behavior in East Asia is driven by bank fundamentals and risk aversion activities and also by price movements. Dynamic panel data analysis is carried out to account for the lagged dependency of the deposits growth variable and endogeneity of the price mechanism in the depositor discipline model. The results show that depositors in East Asia do not demand a higher price for deposits. Analysis by subdividing the sample of banks into healthy and weak banks shows that the relationship between price and quantity is not non-linear. Healthy banks are not able to attract more deposits by raising price. Depositors do not discipline weak banks by demanding a higher return. Lack of responsiveness by depositors to price signals may be attributable to large the outflow of deposits that happened during the crisis period and regulations on interest rates. Analysis in Chapter 4 confirms that depositors are influenced by the content and also quantity of risk-related information disclosure. Panel data analysis shows that higher risk-related information disclosure enables banks to attract more funds only during the post-crisis period. Once the lagged dependency of the deposits growth variable and endogeneity of the price and disclosure mechanism is taken into account, estimation using dynamic panel data analysis shows that disclosure is a more effective signal in attracting deposits than price. These findings provide support to the proposition of the third pillar of the Basel II which aims to encourage market discipline by requiring banks to disclose more risk-related information. In line with the wake-up-call hypothesis, the findings show that depositors' responsiveness to the amount of information disclosure is higher during the post-crisis period. This study also finds that the effectiveness of disclosure signal varies according to the quality of banks. Depositors in East Asia reward good banks for disclosing more information but they do not discipline weak banks by demanding greater disclosure. Greater responsiveness of depositors to the disclosure signal of healthy banks compared to weak banks implies that disclosure is a more effective signal for healthy banks than for weak ones. Other issues analyzed in the thesis pertain to the relevance of the different type of econometric analysis used in carrying out the empirical analyses.

The existing analyses in the literature of inter-regionalism focus on a macro perspective when they look at the relationship between inter-regional ties and global governance. They have not explored the European Union’s (EU) policy development toward the Association of South-East Asia Nations (ASEAN) in detail which affects the EU and ASEAN relationship. They have overlooked explanations and current empirical evidence regarding that relationship. This thesis analyses internal factors within the EU and external factors from ASEAN and outside of the EU which influence EU policies toward ASEAN. The internal factors are the relevant actors within the various institutional arrangements of the EU policy and the promotion of interests of the EU and those of its member states and to some extent of common EU values. The modes of engagement between the EU and ASEAN, the level of integration within ASEAN and the pressures and opportunities from ASEAN and outside the EU are the external factors. Then, this thesis assesses how, when and to what extent these factors influence the EU’s policy developments toward ASEAN and have implications for the inter-regional relationship between the two regions. I examine three EU policies toward ASEAN from 2001 to 2009:1) a new partnership with South-East Asia, 2) the joint EUASEAN monitoring mission in Aceh, and 3) an ASEAN-EU Free Trade Agreement (FTA).This thesis is based on a qualitative method of analysis and is part of problem-driven research. It employs inductive theory building from case studies as the research strategy and documents and interviews as methods of data collection. This thesis presents the variation in importance within factors which influence the EU’s policy development toward ASEAN. It highlights different kinds of interactions between factors which shape the success or failure of the EU’s policy development. The co-operative relationship between these factors is needed to conclude agreement between the two regions. However, the conflicting relationship between these factors can lead to the failure to reach agreement between them. With regard to internal factors, this thesis demonstrates that a shared common position between relevant and other related actors within each of the various institutional arrangements in the EU may assist in the conclusion of an agreement between the two regions. As EU interests takes precedence over values, the likelihood of achieving an agreement increases. With regard to external factors, this thesis argues that consultation and monitoring mechanisms have been used by the EU as its modes of engagement (as opposed to a negotiation) and they affect its policy development and enable it to reach an agreement with ASEAN. The conclusion of an agreement between the two regions can be easily achieved, when the level of integration within ASEAN remains static or weak. However, when the level of integration within ASEAN is stronger, the EU would be less likely to achieve its expected agreements with ASEAN. The conclusion of an agreement between the EU and ASEAN can be achieved when they can resolve these external pressures and take advantage of external opportunities. The trends in and implications for the EU and ASEAN relationship are as follows: first, the more the EU applies a balanced treatment of internal and external factors, then the more it will support the EU’s policy development and that will positively influence the EU and ASEAN relationship. Second, their relationship has been shifted from a hierarchical ex-colonial dynamic to a mutually interdependent partnership.

AbstractSocioeconomic segregation has become a common phenomenon, both in the Global North and Global South, and highly relates to income inequality. The merging of these two notions affects the geography of residential areas which are based on the socio-occupational composition. This chapter focuses on the Jakarta Metropolitan Area (JMA). Not only is Jakarta the largest metropolitan area in Southeast Asia, it is also one of the most dynamic. Batavia, the colonial capital of the former Dutch East Indies in the first half of the twentieth century, was a small urban area of approximately 150,000 residents. In the second half of the century, Batavia became Jakarta, a megacity of 31 million people and the capital of independent Indonesia was beset with most of the same urban problems experienced in twenty-first-century Southeast Asia, including poverty, income inequality, and socioeconomic segregation. This study aims to identify the correlation among income inequality, socioeconomic segregation, and other institutional and contextual factors which caused residential segregation in JMA. The analysis consists of two stages. First, we examine income inequality measured by the Gini Index as well as the occupational structure based on the International Standard Classification of Occupations (ISCO). Second, we investigate residential segregation by using the Dissimilarity Index as a result of socioeconomic intermixing in residential areas. The data in this study comes from multiple sources including Indonesia’s Central Bureau of Statistics, Indonesia’s National Socio-economic Survey (Susenas), Indonesia’s Economic Census, Jakarta’s Regional Bureau of Statistics, and policies related to the housing system and investment in the JMA. This study also produces maps of socioeconomic segregation patterns from several sources including Jakarta’s Geospatial Information Centre, Jakarta’s Spatial Plan Information System, and the Indonesian Poverty Map by the SMERU Research Institute.

Abstract PETRONAS had embarked on an ambitious thru tubing ESP journey in 2016 and had installed global first truly rig less offshore Thru Tubing ESP (TTESP) in 2017. To replicate the success of the first installation, TTESP's were installed in Field – T. However, all these three TTESP's failed to produce fluids to surface. This paper provides the complete details of the troubleshooting exercise that was done to find the cause of failure in these wells. The 3 TTESP's in Field – T were installed as per procedure and was ready to be commissioned. However, during the commissioning, it was noticed that the discharge pressure of the ESP did not build-up and the TTESP's tripped due to high temperature after 15 – 30 mins of operation. Hence none of the 3 TTESP's could be successfully commissioned. Considering the strategic importance of TTESP's in PETRONAS's artificial lift plans, detailed troubleshooting exercise was done to find the root cause of failure to produce in these three wells. This troubleshooting exercise included diesel bull heading which gave some key pump performance related data. The three TTESP's installed in Field – T were of size 2.72" and had the potential to produce an average 1500 BLPD at 80% water cut. The TTESP deployment was fully rigless and was installed using 0.8" ESP power cable. The ESP and the cable was hung-off from the surface using a hanger – spool system. The entire system is complex, and the installation procedure needs to be proper to ensure a successful installation. The vast amount of data gathered during the commissioning and troubleshooting exercise was used for determining the failure reason and included preparation of static and dynamic well ESP model. After detailed technical investigative work, the team believes to have found the root cause of the issue which explains the data obtained during commission and troubleshooting phase. The detailed troubleshooting workflow and actual data obtained will be presented in this paper. A comprehensive list of lessons learnt will also be presented which includes very important aspects that needs to be considered during the design and installation of TTESP. The remedial plan is finalized and will be executed during next available weather window. The key benefit of a TTESP installation is its low cost which is 20% – 30% of a rig-based ESP workover in offshore. Hence it is expected that TTESP installations will pick-up globally and it's important for any operator to fully understand the TTESP systems and the potential pain points. PETRONAS has been a pioneer in TTESP field, and this paper will provide details on the learning curve during the TTESP journey.

Abstract M oilfield is complex carbonate reservoirs in the Middle East, with strong heterogeneity, high permeability zones, local dissolution fracture area, high viscosity oil area and asphalt layer, etc. Strong heterogeneity leads to early water-out, rapid water cut rise and large production decline for horizontal wells, slow reservoir pressure restoring by water injection and inefficient utilization of horizontal section. Because of great difference in the production performance of single well and unclear development law, it is difficult to achieve multiple goals and good waterflooding effect. In this paper, big data-driven strategy module, and Capacitance Resistance Modeling(CRM), multi-objective optimization modelling are used to establish a technical process and platform for real-time waterflooding optimization on the complex reservoir, which hasn't been put forward in previous research for horizontal well pattern and already successfully applied in M oilfield. Big data driven analysis was adopted to quickly process the geological characteristics and production dynamic data from database set, used for cluster analysis based on neural networks to describe the distribution of dominant water flowing channels and residual oil distribution, evaluated waterflooding law and optimized rational production-injection strategies for its main controlling factor areas. CRM were established through simple geological data, PVT data and prodcution history data, which was an equivalent simplified model to caculate injection allocation factors matched with liquid rates. Real-time connection network has been established to determine injection allocation factors from injectors to producers for large number of horizontal wells. Multi-objective optimization modelling was established to solve the realization conditions for super-achieveing the lowest water cut rising, the slowest production decline, the most reasonable pressure restoring, the highest cummulative oil production and the balanced Voidage Replacement Ratio(VRR) for each main controlling factor area. Integrated continuous, dynamic and quantitative adjustment will be output and implemented during weekly and monthly cycle, and comprehensive monitoring, timely warning and accurate diagnosis are realized for the oilfield. M oilfield has been adjusted about 634 wells to rational performance, and then water cut was controlled from 67.1% to 64.7%, water cut rising rate was decreased from 7.9% to −13.84%, yearly production decline rate was reduced from 25% to 7%, reservoir pressure was built up by 158 psi, and total incremental oil is 5.48 million barrels, which indicated that the waterflooding performance has been greatly improved. This novel methodology and platform provide important reference significance for the waterflooding optimization in Middle East. It can rapidly realize waterflooding optimization in balancing reservoir pressure, controlling water cut rise, slowing down production decline and so on, and obtain better incremental oil and economic benefit under low operation cost.